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Scientists reveal the most extensive genetic map of cancers ever made – The Economist

It shows how hard tumours will be to crack

PERHAPS MORE than any other, cancer is seen as a disease of genes gone wrong. So, as genetic sequencing technology has become cheaper and faster, cancer scientists are using it to check which changes to genes cause tumours to spread.

The latest insights from one group, the international Pan-Cancer Analysis of Whole Genomes (PCAWG), are revealed this week in Nature. In an analysis of the full genomes of 2,658 samples of 38 types of tumour taken from the bladder to the brain, the researchers describe a blow-by-blow account of how a series of genetic mutations can turn normal cells into runaway clones. It provides the most comprehensive analysis yet of where to find this damaging disruption to DNA and, by unpicking the genetics of what makes cancer tick, just how hard it will be to tame.

For each of the cancer samples, the team produced a read-out of the tumour genomethe 3bn or so individual DNA lettersand compared it with the genome sequences of healthy cells taken from the same patients. In this way they could look for the genetic signatures of the cancer cells, where specific mutations had warped the genetic information.

Most mutations in the genome are harmless. But driver mutations, where genetic changes cause a cell to multiply more easily and faster than other cells, can trigger tumour growth. Many driver mutations have been found over the past decade and a handful have been translated into new medicines. In a fifth of breast cancers, for example, a driver mutation in the gene HER2 makes cells produce more of a protein on their surface that encourages them to grow and divide out of control. A series of drugs, including Herceptin, target this protein, and lead to significantly improved survival rates. The same HER2 mutation also appears in some lung cancers, raising hopes that similar therapies could work against that disease.

The problem is that most cancers have multiple driver mutations. Indeed, the PCAWG work found that on average each cancer genome carried four or five. And with some clever genetic archaeology they also found that some driver mutations can occur years before symptoms appear.

To discover this, researchers used a new concept called molecular time to reconstruct the cellular evolution of tumour cells. By comparing the DNA of cells within tumours, the researchers could place mutations in chronological order, based on how many cells in which they appeared. Earlier mutations occur more frequently. For example, driver mutations in a gene called TP53 were found to have originated at least 15 years before diagnosis in types of ovarian cancer, and at least five years before in types of colorectal and pancreatic cancer. Driver mutations in a gene called CDKN2A were found to have occurred in some lung cancers more than five years before diagnosis. In theory, that provides a window in which to find people at risk of developing these diseases, and perhaps prevent the cancer ever appearing.

The new study closes down talk that significant numbers of unknown driver mutations could lurk in the relatively unexplored regions of the human genome. One such driver mutation in non-coding DNA was found in 2013a mutation in the TERT gene across many different cancer types. To check for more like this, the consortium sequenced and analysed all the DNA letters of these non-coding regions (which account for 98% of human DNA) for the first time. They found that non-TERT driver mutations occurred at a rate of less than one per 100 tumours in these regions.

Peter Campbell of the Wellcome Sanger Institute in Cambridge, Britain, and a member of the PCAWG consortium, says an important contribution of the study is that by sequencing so many tumours it has raised the number of patients in whom a genetic contribution to their cancer can be identified from less than 70% to 95%. The goal, he says, is for genome-sequencing of tumours to become routine. Efforts to introduce this are under way in some countries, including Britain, the Netherlands and South Korea, he adds.

Results, results, resultsInsights are all very well, but what about cold, hard clinical progress? Turning genome sequences into meaningful predictors of cancer will require comparisons between samples from tens of thousands of patients, say the researchers, along with data on their treatments and survival rates. Processing this would be beyond the reach of any single organisation. Instead, a follow-up project is planned that includes national funding agencies, charities and corporate partners from more than a dozen countries around the world. It aims to link full sequences of 200,000 cancer patients to their clinical data by 2025.

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Scientists reveal the most extensive genetic map of cancers ever made - The Economist

Leading Experts in Genetics and Pregnancy Announce the Creation of a New Consortium – Yahoo Finance

BETHESDA, Md., Feb. 5, 2020 /PRNewswire/ --Prenatal genetic screening is a complex and rapidly evolving field of medicine.In an effort to help promote consensus recommendations and strive for consistency among various medical societies that issue recommendations and guidelines in the area of prenatal genetic testing, six national organizations have partnered to create the Reproductive Genetics Technology Consortium. (http://rgtc.perinatalquality.org)

Member organizations include the American College of Medical Genetics and Genomics; American Society for Reproductive Medicine; International Society of Prenatal Diagnosis; National Society of Genetic Counselors; Perinatal Quality Foundation; and Society for Maternal-Fetal Medicine. Representatives from each organization will meet regularly and as needed to facilitate group discussion and/or consensus.

The new Consortium aims to facilitate communication between professional organizations in their development of practice guidelines and to provide a forum for different societies to discuss appropriate utilization of reproductive genetic testing. It will also provide a forum through which commercial laboratories or other entities developing new technologies can proactively communicate to obtain input and guidance regarding new testing and will provide consensus expert opinions about the clinical utility and application of emerging genetic tests.

"Each member of the new Consortium has a goal of optimizing the health of women and infants," said SMFM representative, Mary Norton, MD. "Bringing our organizations together will establish an opportunity for dialogue between stakeholders and provide a stronger voice on these important issues."

ACMG President Anthony R. Gregg, MD, MBA, FACOG, FACMG said, "ACMG is confident that collaborations among the RGTC member organizations will ensure patients receive high quality care as innovative genetic technologies move from the laboratory to the bedside."

To contact the Consortium, contact Jean Spitz, MPH, CAE, RDMS at jspitz@perinatalquality.org.

About the American College of Medical Genetics and Genomics (ACMG) and ACMG Foundation

Founded in 1991, the American College of Medical Genetics and Genomics (ACMG) is the only nationally recognized medical society dedicated to improving health through the clinical practice of medical genetics and genomics and the only medical specialty society in the US that represents the full spectrum of medical genetics disciplines in a single organization. The ACMG is the largest membership organization specifically for medical geneticists, providing education, resources and a voice for more than 2,400 clinical and laboratory geneticists, genetic counselors and other healthcare professionals, nearly 80% of whom are board certified in the medical genetics specialties. ACMG's mission is to improve health through the clinical and laboratory practice of medical genetics as well as through advocacy, education and clinical research, and to guide the safe and effective integration of genetics and genomics into all of medicine and healthcare, resulting in improved personal and public health. Four overarching strategies guide ACMG's work: 1) to reinforce and expand ACMG's position as the leader and prominent authority in the field of medical genetics and genomics, including clinical research, while educating the medical community on the significant role that genetics and genomics will continue to play in understanding, preventing, treating and curing disease; 2) to secure and expand the professional workforce for medical genetics and genomics; 3) to advocate for the specialty; and 4) to provide best-in-class education to members and nonmembers. Genetics in Medicine, published monthly, is the official ACMG journal. ACMG's website (www.acmg.net) offers resources including policy statements, practice guidelines, educational programs and a 'Find a Genetic Service' tool. The educational and public health programs of the ACMG are dependent upon charitable gifts from corporations, foundations and individuals through the ACMG Foundation for Genetic and Genomic Medicine.

Raye Alford, PhDralford@acmg.net

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Leading Experts in Genetics and Pregnancy Announce the Creation of a New Consortium - Yahoo Finance

Origins and insights into the historic Judean date palm based on genetic analysis of germinated ancient seeds and morphometric studies – Science…

INTRODUCTION

The date palm (Phoenix dactylifera), a dioecious species in the Arecaceae (formerly Palmae) family has a historical distribution stretching from Mauritania in the west to the Indus Valley in the east (1). A major fruit crop in hot and arid regions of North Africa and the Middle East and one of the earliest domesticated tree crops, archaeobotanical records suggest that the earliest exploitation and consumption of dates is from the Arabian Neolithic some 7000 years before the present (yr B.P.) (1). Evidence of cultivation in Mesopotamia and Upper Arabian Gulf approximately 6700 to 6000 yr B.P. support these centers as the ancient origin of date palm domestication in this region, with a later establishment of oasis agriculture in North Africa (1, 2).

The current date palm germplasm is constituted by two highly differentiated gene pools: an eastern population, consisting of cultivars extending from the Middle East and Arabian Peninsula to northwest India and Pakistan and a western population covering North Africa and sub-Saharan Africa (3, 4). Introgressive hybridization by a wild relative in North African date palms has been proposed as a source of this differentiation (2).

Date palms in the southern Levant (modern-day Israel, Palestine, and Jordan), situated between eastern and western domestication areas, have historically played an important economic role in the region and were also of symbolic and religious significance (5). The Kingdom of Judah (Judea) that arose in the southern part of the historic Land of Israel in the 11th century BCE was particularly renowned for the quality and quantity of its dates. These so-called Judean dates grown in plantations around Jericho and the Dead Sea were recognized by classical writers for their large size, sweet taste, extended storage, and medicinal properties (5). While evidence suggests that Judean date culture continued during the Byzantine and Arab periods (4th to 11th century CE), further waves of conquest proved so destructive that by the 19th century, no traces of these historic plantations remained (5).

In 2008, we reported the germination of a 1900-year-old date seed (6) recovered from the historical site of Masada overlooking the Dead Sea. In the current study, six additional ancient date seeds from archaeological sites in the Judean desert were germinated, bringing to seven the number of ancient genotypes genetically analyzed using molecular markers. In addition, morphometric analysis was used to compare the size and shape of ungerminated ancient date seeds with modern varieties and wild dates.

This study, which confirms the long-term survival of date palm seeds, provides a unique opportunity to rediscover the origins of a historic date palm population that existed in Judea 2000 years ago. The characteristics of the Judean date palm may shed light on aspects of ancient cultivation that contributed to the quality of its fruit and is thus of potential relevance to the agronomic improvement of modern dates.

Of the hundreds of ancient date seeds and other botanical material recovered from excavations carried out in the Judean desert between 1963 and 1991 (7, 8) (fig. S1), 32 well-preserved date seeds from the archaeological sites of Masada, Qumran, Wadi Makukh, and Wadi Kelt were planted in a quarantine site at Kibbutz Ketura (table S1). Of these, six ancient seeds germinated and were further identified by the following monikers: Masada: Adam; Qumran: Jonah, Uriel, Boaz, and Judith; and Wadi Makukh: Hannah (Figs. 1 and 2).

(A) Adam, (B) Jonah, (C) Uriel, (D) Boaz, (E) Judith, (F) Hannah, and (G) HU37A11, an unplanted ancient date seed from Qumran (Cave FQ37) used as a control. Scale bars, 0.5 cm (A, no bar size as unmeasured before planting). Photo credit: Guy Eisner.

Ages in months at time of photograph (A to C) Adam (110 months), Jonah (63 months), and Uriel (54 months). (D to F) Boaz (54 months), Judith (47 months), and Hannah (88 months). Photo credit: Guy Eisner.

On visual inspection, no specific observation linked the ability of these seeds to germinate compared with those that failed to germinate. Before planting, the ancient date seeds had been weighted, and their length was measured, with the exception of those seeds from Masada, (including Adam, the germinated seed), which unfortunately were not measured (table S1). No statistically significant differences were found between germinated and ungerminated seeds in either weight {1.67 0.55 and 1.61 0.29 g, respectively [Students t test (t) = 0.348, degree of freedom (df) = 24, P = 0.731]} or length [27.60 3.7 and 26.8 3.7 mm, respectively (t = 0.455, df = 24, P = 0.653)].

Radiocarbon ages are shown (Fig. 3 and table S2) for ancient date seeds germinated in the current study and also for the date seed (seed 3/Methuselah) germinated in our previous work (6). These ages were obtained from seed shell fragments found clinging to the rootlets of germinated seedlings during their transfer into larger pots (3 to 17 months of age). The values were recalculated to take into account contamination by modern carbon incorporated during seedling growth previously shown to reduce measured radiocarbon age by approximately 250 to 300 years, equivalent to 2 to 3% modern carbon (table S2) (6). On the basis of these calculations, Methuselah germinated in our previous study (6) and Hannah and Adam in the current study are the oldest samples (first to fourth centuries BCE), Uriel and Jonah are the youngest (first to second centuries CE), and Judith and Boaz are intermediate (mid-second century BCE to mid-first century CE) (Fig. 3).

Eighteen ancient date seeds that failed to germinate were recovered from the potting soil and compared with modern seeds derived from 57 current date palms of which 48 are cultivated varieties and 9 are wild individuals (9, 10). Ancient seeds were significantly larger in terms of both length and width (length, 27.62 3.96 mm; width, 10.38 0.71 mm) than both current cultivar (length, 20.60 4.70 mm; width, 8.33 1.02 mm) and wild date palm seeds (length, 16.69 3.39 mm; width, 7.08 0.46 mm) (Fig. 4). Ancient seeds were, on average, 27.69% wider (t = 11.923, df = 18.391, P = 2.157 1010) and 38.37% longer than the combined current samples (wild and cultivated) (t = 7.422, df = 17.952, P = 3.564 107).

Length (millimeters) (left) and width (millimeters) (right) of ancient date seeds that failed to germinate (n = 18), 9 current wild individuals (n = 180), and 48 cultivated P. dactylifera varieties (n = 928). Letters a, b, and c above boxes indicate Tukeys groups derived from HSD.test function and R package agricolae.

When only compared to the cultivars, the ancient date seeds were still larger: 24.55% wider (t = 11.923, df = 18.391, P = 2.157 1010) and 34.06% longer (t = 7.422, df = 17.952, P = 3.564 107). However, the contrast in seed size is even more marked when comparing ancient seeds and current wild date palms: The Judean date palm seeds were, on average, 39.55% wider (t = 19.185, df = 18.471, P = 5.943 1014) and 65.48% longer than current wild samples (t = 11.311, df = 19.574, P = 2.472 1010) (tables S3 and S4).

Analysis of seed shape diversity in current and ancient date seeds using principal components analysis (PCA) (dudi.pca function) performed on seed outlines confirmed visual observation that modern cultivated seeds were more diverse in size than ancient ones but did not differentiate between the two groups [multivariate analysis of variance (MANOVA), P > 0.05]. Ancient seeds displayed an elongated shape similar to current cultivated samples (fig. S2).

The sex of the six germinated ancient date seedlings in the current study identified using three sex-linked simple sequence repeats (SSR) (11) were as follows: Judith and Hannah are female genotypes and Uriel, Jonah, Boaz, Adam, and Methuselah (seed 3) from the previous study (6) are male genotypes. Through microsatellite genotyping, three levels of genetic inheritance were investigated to highlight geographic origins (Fig. 5, A and B): (i) inheritance transmitted by both parents to progeny, obtained by microsatellite markers showing western and eastern patterns of the ancient seeds genomes (4), as presented in structure analysis and pie charts (Fig. 5A); (ii) inheritance transmitted from mother to progeny through the chloroplast genome, reflecting maternal lineage origin by reporting chloroplastic minisatellite eastern or western alleles (Fig. 5B, arrow) (12); and (iii) inheritance transmitted from father to son through the Y chromosome, reflecting paternal lineage origin by reporting male specific sex-linked eastern or western alleles (Fig. 5B, arrow) (11).

(A) Structure analysis results are shown for modern and ancient western (green) and eastern (orange) genotype contributions. Pie charts highlight eastern (orange) and western (green) ancient seeds nuclear genomes contributions. (B) Ancient seeds maternal and paternal lineages origin. Arrows represent clonally transmitted parental information, with maternal (chloroplastic) and paternal (Y chromosome) from western (green) and eastern (orange) origins.

Structure analysis revealed that distribution of the germinated ancient date seeds was within previously described eastern and western date palm gene pools (Fig. 5A). Methuselah, Hannah, and Adam are the most eastern genotypes, although they also show ancient western contributions requiring numerous generations and highlighting ancient crosses. Boaz and Judith are the most admixed, with almost equal eastern and western contributions reflecting more recent crossings. Jonah and Uriel are the most western genotypes with the most western parental lineages (Fig. 5B).

To shed light on genetic diversity of the ancient dates, basic population genetic parameters were estimated and compared to modern reference collections (tables S5 and S6). The ancient genotypes showed an allelic richness value (Ar) (i.e., the number of alleles) of 3.59, a relatively high diversity for such a small sample size (seven genotypes) compared to values of other countries sampled (table S6). Genetic relationships between the ancient date and current varieties (Fig. 6 and table S7) show Methuselah and Adam close to eastern modern varieties Fardh4 and Khalass, respectively, assigned to current Arabian Gulf varieties; Hannah and Judith related to modern Iraqi varieties Khastawi and Khyara, respectively; and Uriel, Boaz, and Jonah, the most western genotypes, related to modern Moroccan varieties, Mahalbit, Jihel, and Medjool, respectively.

Modern varieties from United Arab Emirates (light orange), Iraq (red), Tunisia (blue), Morocco (light green), Egypt (dark green), and ancient genotypes (purple).

In the current study, six ancient date seeds, in addition to the seedling obtained in our previous study (6), were germinated. All the seeds were approximately 2000 years old and had been previously recovered from archaeological sites in the Judean desert, a rain shadow desert of ca. 1500 km2 located between the maquis-covered Judean Hills and the Dead Sea (fig. S1).

Little is known about the mechanisms determining seed longevity; however, it has been related to the ability to remain in a dry quiescent state (13). In the current study, low precipitation and very low humidity around the Dead Sea could have contributed to the longevity of the ancient date seeds, which may be an adaptation of date palms to extreme desert conditions fostering seed dispersion. Their remarkable durability, however, may also be connected to other extreme environmental conditions in this area; at 415 m below mean sea level, the Dead Sea and its surroundings have the thickest atmosphere on Earth, leading to a unique radiation regime and a complex haze layer associated with the chemical composition of the Dead Sea water (14). However, since no visible evidence in the current study was linked to seed germination and, accordingly, to their long term survival, further investigations are needed to understand the basis of date palm seed longevity.

Among the worlds oldest cultivated fruit trees, P. dactylifera is the emblematic of oasis agriculture and highly symbolic in Muslim, Christian, and Jewish religions (5). Closely connected to the history of human migrations, the first cultivated varieties of P. dactylifera are thought to have originated around Mesopotamia and the Upper Arabian Gulf some 6700 to 6000 yr B.P. (1, 2, 10). In Judea, an ancient geopolitical region that arose during the 11th century BCE in the southern part of the historic Land of Israel, and situated at the cross roads of Africa, Asia, and Europe, the origins of date palm cultivation are unknown. However, from historical records, a thriving Judean date culture was present around Jericho, the Dead Sea, and Jordan Valley from the fifth century BCE onward, benefitting from an optimal oasis agriculture environment of freshwater sources and subtropical climate (5).

Described by classical writers including Theophrastus, Herodotus, Galen, Strabo, Pliny the Elder, and Josephus, these valuable plantations produced dates attributed with various qualities including large size, nutritional and medicinal benefits, sweetness, and a long storage life, enabling them to be exported throughout the Roman Empire (5, 15, 16). Several types of Judean dates are also described in antiquity including the exceptionally large Nicolai variety measuring up to 11 cm (5, 15, 16).

In the current study, ancient seeds were significantly longer and wider than both modern date varieties and wild date palms. Previous research has established that both fruits and seeds are larger in domesticated fruit crops compared with their wild ancestors (17), suggesting that the ancient seeds were of cultivated origin (9, 18), most likely originating from the regions date plantations. Furthermore, an increase in seed size has been linked allometrically to an increase in fruit size (19), corroborating the historical descriptions of the large fruits grown in this region.

Genotypes of the germinated ancient date seedlings cover a large part of present-day date palm distribution area, findings that reflect the variety, richness, and probable influences of the historic Judean date groves. Microsatellite genotyping shows a relatively high diversity, with eastern and western gene pool contributions, allelic richness, and genetic proximity to current varieties cultivated in the Arabian Peninsula, Iraq, and North Africa. Although the sample size is small, a predominance of eastern female lineages (six of seven) indicates that eastern female varieties grown from local germplasm were probably clonally propagated from offshoots to maintain desirable fruit qualities. Male lineages, mainly western (four of five), suggest that genetically different or foreign males were used for pollination. This assumption is supported by first century texts, indicating that substantial knowledge existed in ancient Judea 2000 years ago regarding the most suitable males for pollination of female date palms (20).

Our results reinforce the historical narrative that a highly sophisticated domestication culture existed in ancient Judea. Local farmers with an interest in maintaining genetic diversity in their date plantations and anthropogenic pressures leading to selection on fruit dimension and other desirable traits used cross-breeding with foreign (genetically different) males to develop a rich collection of varieties.

These findings suggest that Judean date culture was influenced by a variety of migratory, economic, and cultural exchanges that took place in this area over several millennia.

In Israel, the oldest remains of P. dactylifera are wood specimens 19,000 yr B.P. from Ohalo II site on the Sea of Galilee (21). Recovery of carbonized date seeds from Chalcolithic and Early Bronze Age sites (4500 to 2900 BCE) in the Judean desert, Jordan Valley, and Jericho (22, 23) and early Iron Age sites in Israel (12th to 11th century BCE) (24) suggest that human exploitation and consumption of dates occurred at this time. However, it is unclear whether these samples, which are relatively few in number and of very small size (22, 25, 26), are derived from ancient wild populations, as suggested by morphometric studies of modern wild date populations (18) or represent an early stage of the domestication process.

In the current study, although the sample size is too small to claim a trend, on a gradient from east to west genetic contributions, the older the germinated seeds are on radiocarbon dating (Fig. 3), the more eastern is the nuclear genome (Fig. 5, A and B ). In this respect, Methuselah, Adam, and Hannah (first to fourth centuries BCE) have a predominantly eastern nuclear genome and eastern maternal lineage, their relationship to modern varieties from the Arabian Gulf and Iraq suggesting that they belong to the same eastern genetic background.

The P. dactylifera cultivated by the inhabitants of Judea at that time therefore appears to be from the eastern gene pool, possibly growing locally and related to oasis populations, of which relict populations were recently found in Oman (9).

Elite female cultivars may also have been introduced to ancient Israel from these regions, consistent with a pattern of human intervention and possibly active acquisition of date palm varieties. Established trade links are documented with Arabia and the Persian Gulf from at least the 12th century BCE (27). Babylonian date palm cultivation in southern Mesopotamia (most of modern Iraq), originating some 6000 yr B.P. (1, 2), used deportees from ancient Judea following its conquest in the sixth century BCE (28). After the collapse of the Neo-Babylonian Empire, returning exiles may have brought this specialized knowledge and selected cultivars back to Judea; a date variety Taali cultivated in both Judea and Babylon is mentioned in the Talmud (29).

Western genetic admixtures in the germinated seedlings and their proximity to current cultivated date varieties from Morocco also suggest that ancient Judean date palms were the result of germplasm exchanges with this area and of multiple crosses. Introgression of eastern genomes into western ones are common, detected in varieties from Algeria, Morocco, Mauritania, and particularly east-west junction areas like Egypt (1, 2, 4, 30). In the latter, eastern contributions from the Persian Gulf, detected in ancient Egypt date seeds from 1400 BCE to 800 CE, reveal a chronological pattern of change in agrobiodiversity and the possible emergence of a western form in the Roman period (10).

Introgression of date palm western genomes into eastern ones, however, is far lower (1, 2, 4, 12), their presence in the current study reflecting west to east exchanges.

The origins of these exchanges are unclear; however, archaeological evidence indicates that North Africa, Near East, and Mediterranean cultures were clearly linked during the Neolithic in the southern Levant (approximately 11,700 to 7300 B.P.) and were associated in Jericho with the earliest origins of food production and fundamental changes in human subsistence strategies (31).

Phoenicia, a maritime trading nation occupying the coastal areas of modern northern Israel, Lebanon, and Syria (1500 to 300 BCE), was also historically associated with cultivation and trade of date palms (32). We can speculate that later west to east germplasm exchanges to this region may have been associated with domesticated varieties originating in Phoenician City States in North African (e.g., Carthage in present-day Tunisia) (32), where oasis agriculture appeared relatively late in the archaeological record (3).

The most western genotypes in the current study (Uriel and Jonah) are also the youngest seeds (mid-first to mid-second CE), coinciding with established trade routes linking this region to North Africa and supporting evidence for date consumption in the latter 2000 years ago (2, 3). This period coincides with Judeas well-documented wars against Rome (66 to 73 CE and 132 to 136 CE) and deportation and displacement of its population (16). The ancient seeds in the current study were found in the Judean desert, historically a place of refuge due to its steep cliffs and inaccessible caves (16, 23). The loss of political autonomy and the final collapse of Judea have been postulated as causing major disruption to labor intensive practices associated with date cultivation (33). Elite cultivars no longer conserved by vegetative propagation (offshoots) were gradually replaced by seedling date palms producing fruits displaying considerable variation within the progeny. Although P. dactylifera can live for more than 100 years (33) and date groves in this region are thought to have persisted for several more centuries, they were already rare by the 11th century and had been entirely replaced by seedling populations or feral, wild trees producing only low-quality fruit (5, 33), by the 19th century.

The current study sheds light on the origins of the Judean date palm, suggesting that its cultivation, benefitting from genetically distinct eastern and western populations, arose from local or introduced eastern varieties, which only later were crossed with western varieties. These findings are consistent with Judeas location between east-west date palm diversification areas, ancient centers of date palm cultivation, and the impact of human dispersal routes at this crossroads of continents.

Given its exceptional storage potentialities, the date palm is a remarkable model for seed longevity research. Investigations on the molecular mechanisms involved in long-term protection in the dried state have important implications on plant adaptation to changing environments and for biodiversity conservation and seed banking. As new information on specific gene-associated traits (e.g., fruit color and texture) (3) is found, we hope to reconstruct the phenotypes of this historic date palm, identify genomic regions associated with selection pressures over recent evolutionary history, and study the properties of dates produced by using ancient male seedlings to pollinate ancient females. In doing so, we will more fully understand the genetics and physiology of the ancient Judean date palm once cultivated in this region.

The objectives of this study and its design were as follows:

1) The origin and selection of ancient date seeds derived from archaeological sites in the Judean desert.

2) The germination of ancient date seeds in a quarantine site following a preparatory process.

3) Radiocarbon dating and recalculation of calendar ages of germinated ancient date seeds based on seed shell fragments and selected controls.

4) Seed morphometric studies: Comparing ungerminated ancient date seeds with seeds from modern date varieties and wild date palms.

5) Microsatellite analysis of seven germinated date seedlings.

(statistical methods are included in the respective sections)

The ancient date seeds in the current study were obtained from botanical material recovered from archaeological excavations and surveys carried out at the following sites in the Judean desert between 1963 and 1991 and stored at room temperature since their discovery (fig. S1).

1) Masada: An ancient fortress/palace complex built by King Herod the Great (37 to 4 BCE) at the southern end of the Dead Sea on the site of an earlier Hasmonean fortification (141 to 37 BCE) (7). The site, built on a plateau approximately 400 m above the Dead Sea, was first excavated by the late Y. Yadin (Institute of Archaeology, Hebrew University, Jerusalem, Israel) from 1963 to 1965 (7). Bioarchaeological material found at this time included large numbers of date seeds buried under rubble close to the remains of an area identified as a food storage site.

2) Qumran: An archaeological site situated at the northern end of the Dead Sea including an ancient settlement dating from the second century BCE destroyed in 68 CE and a number of caves located in the surrounding cliffs and marl terrace associated with the 1947 discovery of the Dead Sea Scrolls. Later excavations and surveys of caves in this area, carried out from 1986 to 1989, by J. Patrich and B. Arubas (The Institute of Archaeology, The Hebrew University, Jerusalem, Israel) (8) included the following: Qumran Cave 13: artifacts found included potsherds from period 1b Qumran (until 31 BCE), numerous date stones and dried dates in a pit, and a pottery juglet dated to approximately 67 to 79 CE containing an unknown viscid substance and wrapped in palm fibers (used as a control in radiocarbon analysis in the current study) (see below); and Qumran Cave FQ37: containing a number of date stones and first to second CE century artifacts from the late Second Temple period (60 to 70 CE) and Roman period.

3) Wadi Makukh: A winter water channel in the Judean desert surrounded by high cliffs and containing a number of caves, which were surveyed from 1986 to 1989 (above). Date seeds found in caves 1, 3, 6, and 24 in this area were included in the current study; Cave 1 was found to include a Chalcolithic burial site (fifth millennium B.P.) containing human skeletons as well as Roman period artifacts but with signs of considerable disturbance by grave robbers (8).

4) Wadi Kelt: A winter water channel running from Jerusalem to the Dead Sea containing a number of caves (8). Date seeds from Masada were provided to S.S. by M. Kislev (Faculty of Life Sciences, Bar Ilan University), initially in 2005 (6) and again in 2007 (germinated in the current study), following permission by the late E. Netzer (Department of Archaeology, Hebrew University of Jerusalem). Date seeds from Qumran, Wadi Makukh, and Wadi Kelt were provided to S.S. by J. Patrich in 2009.

Out of a collection of many hundreds of ancient date seeds, a total of 34 were selected for the current study based on the specimens appearing visually to be intact whole seeds, in good condition, and without holes. They included Masada (8 seeds), Qumran (18 seeds), Wadi Makukh (7 seeds), and Wadi Kelt (1 seed). Ancient date seeds selected above were identified by code numbers and photographed, and measurements of weight and length were made before planting (with the exception of Masada seeds, which unfortunately were not measured) (table S1). One date seed, from the Qumran excavations (HU 37 A11), was selected as a control and left unplanted (table S1).

The remaining 33 seeds were subjected to a preparatory process to increase the likelihood of seed germination using the following established methods to sprout delicate germplasm (34): seeds were initially soaked in water for 24 hours and in gibberellic acid (5.19 mM) (OrthoGrow, USA) for 6 hours to encourage embryonic growth. This was followed by Hormoril T8 solution (5 g/liter) (Asia-Riesel, Israel) for 6 hours to encourage rooting and KF-20 organic fertilizer (10 ml/liter) (VGI, Israel) for 12 hours. All solutions were maintained at 35C.

Following the above procedure, one seed was found to be damaged and not planted. The remaining 32 seeds were separately potted in fresh sterile potting soil, 1 cm below the surface, and placed in a locked quarantine site at the Arava Institute of Environmental Sciences, Kibbutz Ketura, located in the southern Israel. Eight weeks after germination and periodically afterward, KF-20 (10 ml/liter) and iron chelate (10 g/liter) were added to the seedlings. Irrigation used desalinated water, as our previous study on germinating the first ancient date seed (6) indicated that using the regions highly mineralized water produced tip burn (darkening and drying of leaves).

Radiocarbon ages in the current study were obtained for the following bioarchaeological material: (i) fragments of seed shell coat found clinging to the rootlets of six germinated ancient date seeds when these seedlings were transferred into larger pots, (ii) an unplanted ancient date seed from cave 37 Qumran (HU37 A11) (used as a control), and (iii) part of an ancient palm frond surrounding an oil juglet found in Qumran Cave 13 (used as a control). Radiocarbon ages of seed shell fragments from the germinated seedlings were recalculated to take into account modern carbon incorporated during seedling growth (6).

1) Methodology: Nonorganic carbon (carbonates) were removed from all samples with 10% HCl under reduced pressure followed by repeated washes in deionized water until neutral (pH 7). Organic acids formed during the rotting process were removed with 10% NaOH followed by repeated washes (as above). To prevent absorption of atmospheric CO2, all samples were placed again in 10% HCl and then washed in deionized water until neutral. To remove chemicals used in the germination process, a 7-mm-long shell fragment from the germinated date seed weighing 80 mg was cut into six cubes of 8 mm3 and subjected to an additional series of four boil washes. All samples were heated in an evacuated sealed quartz tube with CuO as an oxygen source. The resulting CO2 was mixed with hydrogen in the ratio 2.5:1 and catalytically reduced over cobalt powder at 550C to elemental carbon (graphite). This mixture was pressed into a target and the 14C:12C ratio (for radiocarbon age) measured by accelerator mass spectrometry at the Institute for Particle Physics of the Swiss Federal Institute of Technology Zurich (ETHZ).

2) Calendar age: Calendar age was obtained using the OxCal 4.3 calibration program based on the latest IntCal 13 calibration curve (35). Calibrated calendar ages can be found with a probability of 68.3% in the 1-range and with a probability of 95.4% in the 2-range (table S2). The probability distribution P of individual ages is given for each sigma range. The 14C activity is reported as pMC (percentage of modern carbon) and corresponds to the ratio of the activity of the sample to the corrected activity of the oxalic acid standard, which has an age of 0 yr B.P.

3) Calculation of correction for pMC: The effect of contamination by modern carbon incorporated during seedling growth previously shown in our first germination of an ancient date seed to reduce measured age by 250 to 300 years (equivalent to 2 to 3% pMC) (6) was calculated using the following three groups based on the source of the ancient seeds in both the current and previous studies:

(i) Masada: Adam (current study), Methuselah (seed 3), and seed 1 [both from previous study (6) in which seed 1 was used as a control].

(ii) Qumran Cave 13: Judith and an ancient palm frond (used as a control)

(iii) Qumran Cave 37: Boaz, Jonah, Uriel, and seed HU37A11 (used as a control)

The germinated ancient seed Hannah from Wadi Makhukh was not assigned to a group due to the absence of a suitable control and considerable disruption to the site.

Using as age-controls the ancient palm frond (Qumran Cave 13), seed HU37A11 (Qumran Cave 37) from the current study and seed 1 (Masada) from the previous study (6), we assumed that a positive pMC difference between the germinated seeds and control sample could be attributed to modern carbon that was absorbed during germination. Ages of the germinated seeds were therefore recalculated (assuming that the measurement error remains unchanged) by adjusting the measured age to the control sample. For Hannah since no control exists, an average deviation (derived from the other samples) was taken into account.

Comparison of ancient date seeds that failed to germinate with modern date seeds. This was performed on the following groups:

1) Modern date seed (P. dactylifera) samples (n = 56): Being either from cultivated varieties (n = 47) or uncultivated and possibly wild individuals (n = 9) (9). Seeds from these sources (total n = 1108) were used as a current referential for seed morphometric analysis. The cultivated modern samples originated from 11 countries spanning date palm distribution from Spain to North Africa to the Middle-East. The candidate wild date palms originated from Oman and have been hypothesized as wild date palms based on seed shape, seed size (18), and genetic studies based on microsatellite and whole-genome resequencing data (9).

2) Ancient date seeds (n = 18): Of 26 ancient date seeds obtained from Qumran, Wadi Makukh, and Wadi Kelt archaeological sites (described above) that had been planted in the quarantine site, 21 failed to germinate and were retrieved from the potting soil. Of these, three were discarded as they had fragmented and were in poor condition. The remaining 18 retrieved ancient date seeds together with modern reference seeds (described above) were rephotographed on dorsal and lateral sides, and measurements of length and width were remade (table S3) [Neither current or previous (6) ancient date seeds from Masada that failed to germinate were used in the morphometric study as these seeds were not retrieved from the potting soil].

The following statistical analyses were performed using R software (36).

1) Size analysis of modern seeds: The length and width of a total of 1108 seeds obtained from 47 current cultivated varieties (928 seeds) and 9 current wild individuals (180 seeds) were measured using ImageJ (37) following the protocol previously established by Gros-Balthazard et al. (18). The thickness was not measured since it is highly correlated with width (18).

2) Comparison of seed size between current and ancient samples: Measurements for current varieties were compared with those measured for the ancient date seeds using boxplots and Students and Tukeys tests (table S4).

3) Analysis of seed shape diversity in current and ancient date seeds: PCA (dudi.pca function) was performed on seed outlines assessed by Fourier coefficients, a morphometric method applied to outline analysis.

DNA preparation. DNA of six ancient date seedlings from the current study and one (Methuselah) from the previous study (6) was analyzed. A set of 19 SSR was used for genotyping as described by Zehdi-Azouzi et al. (4). Gender was determined using date palm sex-linked microsatellite markers (11). Maternal lineages were traced back using the plastid intergenic spacer psbZ-trnf minisatellite (12, 38). Paternal lineages were studied through Y haplotypes using the three sex-linked SSRs (mPdIRDP80, mPdIRDP50, and mPdIRDP52) (11).

Total cellular DNA was extracted from lyophilized leaves using the TissueLyser and the DNeasy Plant Mini Kit (QIAGEN SA, Courtaboeuf, France) according to the manufacturers instructions. After purification, DNA concentrations were determined using a GeneQuant spectrometer (Amersham Pharmacia Biotech, France). The quality was checked by agarose minigel electrophoresis. The resulting DNA solutions were stored at 20C.

Amplification and genotyping. Polymerase chain reactions were performed in an Eppendorf (AG, Hamburg, Germany) thermocycler. Reaction was performed in 20 l and contained 10 ng of genomic DNA, 10 reaction buffer, 2 mM MgCl2, 200 M deoxynucleotide triphosphates, 0.5 U polymerase, and 0.4 pmol of the forward primer labeled with a 5M13 tail, 2 pmol of the reverse primer, and 2 pmol of the fluorochrome-marked M13 tail and MilliQ water. A touchdown polymerase chain reaction (PCR) was carried out with following parameters: denaturation for 2 min at 94C, followed by six cycles of 94C for 45 s, 60C for 1 min, and 72C for 1 min; then 30 cycles of 94C for 45 s, 55C for 1 min, and 72C for 1.5 min; then 10 cycles of 94C for 45 min, 53C for 1 min, 72C for 1.5 min; and a final elongation step at 72C for 10 min. PCR products were analyzed using an ABI 3130XL Genetic Analyzer (Applied Biosystems, Foster City, CA, USA). Allele size scoring was performed with GeneMapper software v3.7 (Applied Biosystems).

Genetic analyses. The ancient genotypes were compared to a reference matrix (90 genotypes) containing genotyping data on current date palm varieties covering the two genetic pools defined by Zehdi-Azouzi et al. (4) and including 35 samples from the eastern pool and 55 samples from the western pool (table S5). The number of alleles per group (NA), the number of alleles with a frequency higher than 5% (NA,P), and the observed (Ho), the expected (He) heterozygosities, and the fixation index values (FIS) were estimated using the GenAlEx 6.5 program (table S6). The allelic richness of each group was also calculated via the divBasic function implemented in the R package diversity (table S6) (39).

The hierarchical classifications were generated using PHYLIP package by calculating Cavalli-Sforza and Edwards distances (40) between ancient genotypes and current varieties (table S7). The obtained distance was used to construct the dendrogram using the neighbor-joining algorithm (41). The tree was drawn using DARwin software (42).

The membership probabilities of the ancient genotypes were identified by using a model-based clustering algorithm implemented in the computer program STRUCTURE v.2.3.4 (43). This algorithm identifies clusters (K) with different allele frequencies and assigns portions of individual genotypes to these clusters. It assumes the Hardy-Weinberg equilibrium and linkage equilibrium within clusters. The STRUCTURE algorithm was run without previous information on the geographic origin of the accessions using a model with admixture and correlated allele frequencies with 10 independent replicate runs for each K value (K value ranging from 1 to 6). For each run, we used a burn period of 10,000 iterations followed by 1 million iterations. The optimal number of clusters was assigned by using the run with the maximum likelihood validated with an ad hoc quantity based on the second-order rate of change in the log probability of data between different K values (fig. S3).The optimal alignment of the independent iterations was obtained by CLUMPP v.1.1 implemented in the Pophelper software v.1.0.10 (44); Pophelper v.1.0.10 (44) was also used to plot the results for the optimal K.

Acknowledgments: We thank J. Patrich and the late E. Netzer for making available ancient date seeds from Judean desert excavations; R. Krueger (USDA-ARS, USA) for providing some current date palm varieties; and S. Zehdi (Faculty of Sciences, University of Tunis El Manar, Tunisia), A. Lemansour (UAEU, DPDRUD, United Arab Emirates), M. A. Elhoumaizi (Sciences Faculty, Morocco), and C. Newton for allowing the use of genotyping data on current date palm varieties in the reference matrix. M. Collin is acknowledged for the help in the figure preparation and T. Bdolah Abraham for the help in statistics. O. Fragman-Sapir is acknowledged for identification of ancient date seeds and C. Yeres and A. Rifkin for information on Midrashic and Talmudic Jewish source material. Funding: The study was supported by donations to NMRC from The Charles Wolfson Charitable Trust (UK), G. Gartner and the Louise Gartner Philanthropic Fund (USA), and the Morris Family Foundation (UK). Author contributions: S.S. initiated, designed, and coordinated the study, procured ancient date samples, researched historical and archaeological information and integrated it with scientific findings, and wrote the paper. E.C. and N.C. performed genetic analyses on germinated seedlings. E.S. germinated ancient date seeds. M.E. performed radiocarbon analysis. M.G.-B., S.I., and J.-F.T. performed morphometric analysis. F.A. supervised genetic analyses and with E.C., M.G.-B., and M.E. helped write the manuscript. Competing interests: The authors declare that they have no competing interests. Data and materials availability: All data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials. Additional data related to this paper may be requested from the authors.

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Origins and insights into the historic Judean date palm based on genetic analysis of germinated ancient seeds and morphometric studies - Science...

Harnessing Genetic Suppression to Treat Rare… – Labiotech.eu

Through quirks of genetics, some people are naturally resilient to heritable diseases. Thijn Brummelkamp, Managing Director and founder of the Dutch startup Scenic Biotech, explains how the company is using this genetic resilience to treat rare diseases and cancer.

Heritable diseases result from genetic mutations that cause essential proteins in the body to malfunction. For example, people with the condition NiemannPick type C have mutations in proteins involved in the transport of cholesterol in the cell. This makes cholesterol build up in the body and causes problems with walking and cognition.

However, some people with mutations that should cause disease show no sign of the illness. According to Brummelkamp who is also a Professor at the Netherlands Cancer Institute a big reason for this disease resistance is because of genes called genetic modifiers.

This explains why some people that have a mutation in the gene that causes the disease have more severe phenotypes than other family members may have, he told me.

Brummelkamp and co-founder Sebastian Nijman spun Scenic Biotech out of the Netherlands Cancer Institute and the University of Oxford in the UK in 2017. The companys preclinical pipeline is focused on identifying genetic modifiers that can suppress the effects of rare diseases in the lab, and then developing antibody or small molecule drugs to activate them in patients.

Typically, people have looked at the defective gene and tried to correct the gene or process, Brummelkamp said. In this case, this is a new class of drugs.

While it may sound promising, the task of finding genetic modifiers that delay disease also known as genetic suppressors is a huge one. First, there are thousands of rare diseases, each one with a very small pool of patients to study. Second, finding people with effective genetic suppressors for these diseases is tricky because many healthy people dont typically go for genetic screens.

For most human diseases, we do not know what the genetic suppressors are, explained Brummelkamp. Both clinical data and population genetics suggests that these genetic suppressors exist, but it has been really difficult to identify them.

Scenic Biotech uses single-cell screening in the lab to overcome this issue. The company takes billions of healthy human cells or cells containing mutations responsible for the disease of interest. For each healthy or diseased cell, Scenic uses a method called gene trapping to stop one of the genes in the genome from working, and uses fluorescent labeling to check how it affects the cells health. By doing this, the company can then build up a picture of which genes suppress the disease.

The idea is that we really get an overview of the genetics of a particular disease, so that is why were called Scenic, Brummelkamp said. We really hope to identify the scene that is relevant.

One big challenge to approaches like this one is that human cells contain two copies of each gene. These can mask mutations and make the analysis very complex. To address this, Scenic screens special human cancer-derived cells that only have one copy of each gene.

Scenic is currently focused on developing a treatment for NiemannPick type C disease, and has a list of potential suppressor genes that could be targets for new drugs. In addition, the company has identified a genetic modifier that could allow it to develop a cancer immunotherapy enhancing the effect of checkpoint inhibitors, which prevent cancer cells from evading the immune system.

Genetic modifiers are already being targeted by several biotechs. For example, the US company Maze Therapeutics raised an impressive 173M ($191M) Series A last year to screen genomic datasets for new genetic modifiers.

For Scenic Biotech, the presence of other companies in this space doesnt worry them. I dont believe that we will be all fishing in the same pool, Brummelkamp noted. This could be applied in oncology, it could be applied in common diseases, in rare diseases and, of course, there are many different disorders and ways to look at them and ways to correct them.

While the field of genetic modifiers in therapeutics is still emerging, investors are already sharing in Brummelkamps excitement, demonstrated by Scenic Biotechs 6.5M Series A raised early after founding.

We did not have a difficult time finding excited investors to start Scenic and I think it was the concept and the opportunity, Brummelkamp told me. Its a timely moment now to identify these suppressors and see if we can develop them. It was a very risky and early idea but one with great potential.

Despite having founded two biotechs in his career Scenic Biotech and the Austrian company Haplogen in 2010 Brummelkamp spends the majority of his working life in his academic lab, limited to one day per week at Scenic Biotech. As a scientist, results are always exciting, whether they come from the Scenic side or the academic side, he told me.

Nonetheless, Brummelkamp is enthusiastic about spinning out new companies based on his discoveries, bridging the gap between academic discovery and commercialization.

I think its very exciting. Ive learned so much more in the last two years and also from my previous experience in biotech, than I could imagine, he said. It really gives me a bit of a better understanding of the biology and, on the other hand, of the challenges in biotech and pharma.

Images from E. Resko and Shutterstock

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Study sheds new light on genetic relationship between three mood disorders – News-Medical.net

Researchers shed new light on the genetic relationship between three mood disorders associated with depression--major depression and bipolar disorder types 1 and 2, in a new study in the journal Biological Psychiatry, published by Elsevier.

"The clearest findings are a genetic distinction between type 1 bipolar and type 2 bipolar, and the greater similarity of type 2 bipolar to major depressive disorder," said first author Jonathan Coleman, PhD, a statistical geneticist and postdoctoral fellow in the lab of senior author Gerome Breen, PhD at the Institute of Psychiatry, Neuroscience, and Psychology at Kings College London, UK.

Both types of bipolar disorder used to be referred to as 'manic-depressive disorder'. Mania is a behavioral state associated with behavioral activation, euphoric or irritable mood, reduced need for sleep, impulsive behavior, impaired judgement, racing disorganized thoughts, impulsive behaviors, and frequently strongly held false beliefs (delusions) or hallucinations. Bipolar disorder type 1 is associated with mania and depression, while bipolar 2 is predominately associated with depression marked by mild symptoms reminiscent of mania, called hypomania.

The insights came from several extremely large datasets analyzed together. For their meta-analysis, Coleman, Breen and their co-authors combined genome-wide association studies from three large datasets of people with major depression and bipolar disorder to evaluate shared and distinct molecular genetic associations. Most of the data came from the large international Psychiatric Genomics Consortium. Additional data came from the UK Biobank, a major health resource established by the Wellcome Trust, and the online genetic service platform, 23andMe.

There are significant racial and ethnic differences in the findings from genome-wide association studies (GWAS). The findings of this study pertain only to people of European ancestry and findings might be different in other groups.

The authors also report that the genetic risk for these disorders was predictive of other traits as well. For example, the genetic risk for bipolar disorder was correlated with more educational attainment, while the heritable risk for major depressive disorder was associated with less education.

In the mouse brain, the authors also mapped the genetic risk for these disorders on to particular brain cell types using a sophisticated analytic strategy building on the pattern of genes expressed. They implicated serotonin neurons in the risk for both depression and bipolar disorder, while bipolar disorder distinctively involved GABA and glutamate neurons (nerve cell types also implicated in schizophrenia).

We have long known that mood disorders are highly heterogeneous and the boundaries between types of mood disorders are often difficult to define clinically. This new study suggests that there are aspects of genetic risk, and presumably brain function, that link forms of mood disorders, but there are also distinctions that may shed light on subtypes of depression that may have important implications for treatment."

John Krystal, MD, editor of Biological Psychiatry

Ultimately, the researchers want to develop clinical tools to help predict if a first episode of depression is likely to persist as a disorder or progress into bipolar disorder. "Genetic data won't ever replace clinical insight, but it might be a useful addition to clinical models," said Coleman.

Source:

Journal reference:

Colemanan, J.R.I., et al. (2019) The Genetics of the Mood Disorder Spectrum: Genome-wide Association Analyses of More Than 185,000 Cases and 439,000 Controls. Biological Psychiatry. doi.org/10.1016/j.biopsych.2019.10.015.

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How CompanionMX Trained Its AI to Spot Signs of Depression – Built In

Signs of depression can be difficult to spot, even for atrained professional. But could youteach an AI to reliably pick up on subtle changes in mood and behavior?

CompanionMX, a Boston-based startup, has created a mental health tool to do exactly that. Its platform uses AI to help users suffering from depression track changes in their emotional state over time.

To do so, co-founder Skyler Place and his team had to overcome one of emotion AIs biggest hurdles building anaccurate dataset for training. Because at the end of the day, if you collect the wrong data or get sloppy with the labeling, the resulting algorithms canquickly cause more harm than good.

The trend of emotion AI has been met with skepticismby many, for exactly that reason. In some cases, these concerns tie back to the limitations of relying onfacial recognition, which some experts say results in a much-too-simplistic understanding of human emotions.

Holding PhDs in psychology and cognitive science, Place knows as well as anyone that a simplistic approach wont do.

To avoid bias and spurious correlations, CompanionMX rooted its analysis inknown symptoms of depression. Through the app, the user records a 30-second audio diary commenting on their day, which an algorithm uses to analyze their vocal patterns to determine their energy level. Meanwhile, the app collects data on their texting frequency and phone calls out, as well as distance traveled via GPS proxies for real-world behaviors like social engagement and physical activity.

Combined, these data pointsform a well-rounded picture of a patients mental state while minimizing the barrier to participation for users, Place said. Heres what his team learned from translating those data points into a reliable model.

Seven years ago, Place laid the foundation for how his team would collect emotional data.

At the time, CompanionMX and its parent company, Cogito, worked in partnership with DARPA to develop an algorithm that could track mental illness changes in veterans with PTSD. While the easiest and most affordable route to collect that data would be to conduct a self-report study, people tend to be unreliable in reporting on their own emotions, Place said.

How a person feels can change depending on the external factors around them that have nothing to do with their overall emotional state. For instance, the user might report higher levels of stress if theyre filling out a questionnaire while stuck in a long line at Starbucks. Moreover, if a person suffers from depression or trauma, they may be reluctant to talk about it.

If your source of truth is inaccurate or fuzzy, like a self-report, it doesnt matter how good your input data is, Place said. Its almost like youve created a situation where its impossible to win, and thats been a limitation in the field.

Instead, CompanionMX opted to conduct a clinical study. While Place said doing so required both time and money, it allowed them to gather a more accurate picture of their users emotions that psychologists would trust.

For the study, the team recruited 73 participants that represented a mix of gender, race and veteran and civilian status, who reported at least one symptom of PTSD or depression verified by medical professionals. They started with the theory that behavioral patterns could be identified in real time through vocal recordings and digital trace data logged on a smartphone.

That gave us a very robust, one-of-a-kind dataset to build some of the most accurate and predictive models of behaviors that relate to mental illness.

Each participant received a new phone, conducted a baseline questionnaire and had their clinical symptoms measured through a validated clinical interview with a trained clinician. For the next 12 weeks, participants recorded audio logs of how they were doing and had their phone data collected. The CompanionMX team tracked anything it felt could be linked to a users behavior state, including how many calls or texts went in and out, how the phone was handled using the gyroscope, the location of the device, screen time and battery status.

At the end, the participants went through a Structured Clinical Interview for Mental Disorders with a clinical psychologist, which is a standard method used in psychology to assess a persons mental health. By doing the study this way, the team received more than 50 million data points from a variety of inputs to go along with 20 different diagnoses and sub-symptoms of depression.

That gave us a very robust, one-of-a-kind dataset to build some of the most accurate and predictive models of behaviors that relate to mental illness, Place said.

How does phone usage change with depression? Thats one of the questions CompanionMX needed to answer to make sense of its data.

To sort through its trove of information, the team used a hypothesis-driven process called feature engineering, Place said. Based onwhat is known in psychology about depression, the team created theories for how typical symptoms would manifest through phone usage patterns. Important symptoms included depressed mood most of the day, diminished interest in activities, fatigue, and avoidance of activities, places and people.

For diminished interest, the team predicted that a person would send fewer text messages and travel less from their home. To measure fatigue, they hypothesized that a person would make fewer calls and send fewer texts.

Its a process where we try different features, evaluate their predictive power and eliminate the features that were not predictive.

In total, the team started with 14 of these input features based on the digital trace data. From there, CompanionMX began the trial-and-error process of building its algorithm models.

Thats where the model building runs through an evaluation and an iterative process, Place said. Its a process where we try different features, evaluate their predictive power and eliminate the features that were not predictive.

The initial approach predicted symptoms using all 12 weeks of data, but the results revealed that it would be more accurate to focus on data one week prior to the users clinical assessment, according to the report.

Through extensive data exploration, the team also identified additional features that didnt accurately represent user behavior. For example, the team eliminated any information regarding battery life and screen time because each device measured the information differently.

When youre designing your dataset, you need to ask yourself where the variability is coming from, Place said. Is the variability coming from human behavior, which youre trying to predict, or is it variability in some other attribute you cant control for? Screen off and on seem like simple data points, but it was actually being measured differently by different device manufacturers. So the same human behavior would lead to different outcomes.

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One of the final rules Place had for his team when it came time to build their algorithm was that it needed to use features that were based on patterns humans can easily recognize.

When youre working with millions of data points, it can be easy to create a model that is statistically accurate but impossible to explain. Since CompanionMX aimed to be a resource for psychologists and psychiatrists, Place said it was crucial that their model made sense to them.

One lesson we learned was that you dont need to jump to the most complicated inputs or throw the whole kitchen sink into it at the start, Place said. Working from data that is as clean as possible and that you understand can be beneficial to modeling outcomes.

The team landed on three digital trace features all easy to understand in relation to human behavior: text message count, distance traveledand phone calls out.

Working from data that is as clean as possible and that you understand can be beneficial to modeling outcomes.

What success looked like for us was not just having an accurate model, but having a model that we could explain to a psychologist in a way that they would feel comfortable and confident in using to make decisions about treating someone for mental illness, Place said.

To train its second algorithm, CompanionMX needed to label 847 audio diary clips of at least 30 seconds in length.

Within those recordings, the team focused on the rate at which a person talked and their energy level.

While the speaking rate could be quantified through a process that measures the number of syllables used per minute, interpreting energy levels required a team of data labelers. In order to reduce the risk of bias, CompanionMX compiled a mix of 10 data scientists, both men and women, with backgrounds in psychology and engineering, to label the data.

It gave us the data necessary to make corrections and adjustments to account for the variability in human perception and human performance.

The labelers listened to the vocal recordings, and ranked pitch variation and vocal effort on the Likert scale of one to five. Since the data required human interpretation, the scale helped labelers find high levels of inter-rater reliability among the ratings.

It gave us the data necessary to make corrections and adjustments to account for the variability in human perception and human performance, Place said.

With the data labeled, the team built an algorithm that could conclude from the audio diary the users mean pitch variance and mean vocal effort. That information is then used in the teams final model to identify whether the person exhibits a depressed mood most of the day.

With the final algorithms in place, CompanionMX measured its models accuracy through a process of 10-fold cross-validation area under the curve testing a commonly used method to measure an algorithms true positive rate.

The model cleared CompanionMXs 50-percent threshold, accurately identifying each of the four depression symptoms at a rate higher than 50 percent of the time. But Place didnt want to stop there. In order to earn the trust of clinical professionals, the team aims to prove its usefulness through a clinical trial.

Its going to be a tool thats going to allow your doctor and the patients to be able to make better, more informed decisions.

The results of the clinical trial havent been published yet, but the process involved testing its product with a group of doctors and patients against a control group. The team is also working on expanding CompanionMX to identify other mental health conditions, like bipolar disorder.

When it comes to understanding how you really feel, however, Place knows the only people equipped to answer that question are you and your doctor. CompanionMX is just there to provide another data point.

I dont think well be in a world where AI is going to replace your doctor, Place said. Its going to be a tool thats going to allow your doctor and the patients to be able to make better, more informed decisions.

Striking the Right ToneHow Grammarly's Tone Detector Uses AI to Analyze Your Written Communication

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How CompanionMX Trained Its AI to Spot Signs of Depression - Built In

Excessive Sports in Case of Eating Disorders: Psychological Mechanisms Decoded – Global Health News Wire

Exercise promotes health. Excessive and obsessive exercise, however, may turn into an addiction in the extreme case and cause illness. (Photo: Markus Breig, KIT)

Excessive and obsessive exercise is very harmful to health, this being particularly pronounced for persons suffering from eating disorders. Based on electronic diaries, a team of researchers of Karlsruhe Institute of Technology (KIT) and the University of Freiburg has now uncovered for the first time psychological mechanisms underlying pathological exercise. Their results allow the conclusion to be drawn that persons with eating disorders use exercise to regulate depressive mood and negative thoughts relating to their eating disorders. The study is published inPsychotherapy and Psychosomatics.

It is undisputed that exercise promotes health. Excessive and obsessive exercise, however, may become an addiction in the extreme case and cause illness. There is sufficient evidence that this unhealthy exercise is particularly pronounced for persons suffering from eating disorders. For the first time, a team of researchers of KITs Institute of Sports and Sports Science (IfSS) and the University of Freiburg has now uncovered psychological daily mechanisms underlying this pathological form of exercise. The method used for the study is referred to as ambulatory assessment. It records human experience and behavior in daily life and has been developed and used by experts of IfSS. The main idea consists in the fact that we have to study the human species in its natural habitat in order to understand human behavior, says Professor Ulrich Ebner-Priemer, Head of the Mental mHealth Lab of KIT.

The study was based on specifically developed, activity-triggered electronic diaries on smartphones. With these electronic diaries, we studied the dynamic interaction of physical exercise and psychological variables in everyday life, explains Markus Reichert, who works in the group of Professor Ebner-Priemer at KIT and is the first author of the study together with Dr. Sabine Schlegel of the University of Freiburg. Thanks to this technology, it was possible to specifically request subjective self-reports in case of conspicuous exercise episodes and to generate a high statistical variance of data.

Using this method, physical activity of 29 patients with eating disorders and 35 healthy controls was recorded objectively and constantly by an accelerometer, e.g. movement sensor, in daily life for a period of seven days. The accelerometer was connected to a smartphone via bluetooth, an installed app triggered requests for reports when measurements were below or above certain activity thresholds. In addition, the test persons were asked to report their subjective state of condition before and after exercise.

The researchers found that exercise of patients with eating disorders was preceded by declining mood. This effect was not found for healthy controls, who rather felt full of energy prior to exercise. After exercise, patients with eating disorders had a better mood than the healthy controls and their average mood, they felt more relaxed, and less pressure of having to be slim. Altogether, they were more satisfied with their body. However, this effect persisted for a limited period of time ranging from one to three hours depending on the test person.

The results reported by the authors inPsychotherapy and Psychosomaticsallow the conclusion to be drawn that patients with eating disorders use exercise to regulate depressive moods and negative thoughts relating to their eating disorders. To cope with difficult emotional states and negative body experience, they get exercise, probably also due to lacking alternative strategies at such times, Markus Reichert explains. It is quite obvious that the positive effects of exercise enhance unhealthy exercise. Feeling relieved after sports leads to renewed exercise when the effect declines. This may result in a vicious circle, in which more and more exercise is needed to feel good, say Markus Reichert and Professor Almut Zeeck, coordinator of the study at the university hospital of Freiburg.

According to Zeeck, these findings have major implications for therapy and further research. In therapy, sports might be used specifically and in precise doses to positively influence the mood and body experience of people suffering from eating disorders. It will be of crucial importance, however, to convey alternative action strategies to the patients in order to prevent unhealthy, excessive exercise. Here, latest technologies, such as day-to-day intervention on smartphones, might help. This opens up new perspectives for therapeutic interventions that reach patients in their everyday life and may represent an important supplement to ambulatory psychotherapy, Zeeck says.

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Nike is making footwear to improve athletes efficiency for the Tokyo Olympics – TechCrunch

Rae Witte is a New York-based freelance journalist covering music, style, sneakers, art and dating, and how they intersect with tech. You can find her writing on i-D, The Wall Street Journal, Esquire and Forbes, among others.

All it takes to win a gold medal at the Olympics is the best performance on the day of the event. Champions may be made in countless training hours, but championships, finals and even world title-representing gold medals are won in final seconds and millimeters through speed or accuracy and endurance in that final race, round or game.

To that end, Nike introduced innovation-led products with proven performance-enhancing results for Tokyo 2020.

By driving down into the minutiae of every Olympic event to find the best opportunities to improve design, the brand is ensuring its footwear directly caters to those crucial moments as much as athletes preparation for them.

We are innovating into the infinitesimal and little things that really matter, John Hoke, Nikes chief design officer, told me. Although hes held his position for the last decade, Hoke has actually been with Nike for about 30 years, and through seven Olympic games. We get to stop and slow down the game and sort of study and obsess over that. We are obsessing over those moment-of-truth moments.

This obsession resulted in a new line of shoes designed to enhance the moments of truth: the Nike Zoom Viperfly; Air Zoom BB for basketball; the Air Zoom Mercurial for soccer; and the long-awaited Nike Air Zoom Alphafly NEXT% for elite runners. The models contain innovations developed over months of research conducted in a lab in the Pacific Northwest.

In conjunction with a design team as elite as the athletes it caters to, the Nike Research Lab is an integral part of these advancements. Founded 40 years ago in Exeter, N.H., the lab is now located on Nikes Portland campus and focuses on biomechanics, physiology, perception and human behavior, and data science.

Athletes contribute performance insights to the lab through testing and verbal feedback that the researchers quantify into performance, movement and even fatigue data to improve the product. Researchers have been able to pinpoint the moments during competition when athletes are operating from a place of need or fatigue, thus providing a direction for designers to functionally improve apparel and footwear.

This resulted in a major focus on innovations for energy preservation and responsive technology.

Additionally, with such significant advancements following the release of 2017s Nike Zoom Vaporfly Elite, elite runners have been returning to Nike sneakers en masse.

In 2018, the addition of ZoomX foam and modern technology using carbon fiber plates allowed Nike ZoomX Vaporfly NEXT% to increase running efficiency by 4%, making wearers actually see significantly faster times.

However, this has raised questions about whether the shoes are offering an unfair advantage or are simply the most energy-efficient.

The shoes cushy foam midsole embedded with a single carbon fiber plate is advertised as giving athletes the sensation of being propelled forward. By lowering the energy expenditure, runners reduce fatigue, resulting in faster times. An independent study conducted by The New York Times found the technology actually improved runners efficiency 4% to 5%, which is more than what the brand claims.

In the past year, Eliud Kipchoge ran the first sub-two-hour marathon time in last falls INEOS 1:59 Challenge. Sifan Hassan became the first woman to win a gold medal in both the 1,500-meter and 10,000-meter events at a single World Championships or Olympic Games. Earlier last year, Britains middle-distance runner Laura Muir broke the British indoor mile record in a similar pair of Vaporfly prototype spikes, and Brigid Kosgei set a new womens marathon world record. And the five fastest-ever marathons times have been recorded by runners in iterations of Nikes with the new technology.

Leveraging learnings from the elite runners groundbreaking successes since the release of Nike Zoom Vaporfly Elite in 2017, the Nike design team approached spike design with a fresh set of eyes. The research lab found that most runners final 20 meters of a 100 meter race were the slowest, and that they were actually decelerating as they crossed the finish line. The goal is to shorten the deceleration time.

I constantly hear athletes talk about getting to a state of flow, which is this wonderful state where everything slows down and you cant wait to occupy that space, that time, that second so that you can do exactly what youve been trained to do, Hoke says.

His team is determined to provide athletes with products that allow their bodies to perform in that space.

The Nike Air Zoom Viperfly track spikes are crafted specifically for the 100-meter race. As most sprinters heels barely touch the ground throughout the race, the ultra-light footwear features denser knit through the body of the shoe for support and lighter knit through the heel.

More cushioning in the form of protective foam within the heel of the shoe compensates for the lighter knit, providing added protection without the weight specifically for times of deceleration.

Nike Air Zoom Viperfly track spikes

Similar to those final 20 meters of the 100-meter dash, examining basketball led researchers to determine that players experience the most fatigue in the fourth quarter, as one would expect, and that they run an average of three to four miles during gameplay. Sprinting in short, court-length bursts for three to four miles results in the most fatigue toward the end of a 40-minute Olympic basketball game.

Striving to provide a product for the most fundamentally proficient fourth quarter led the design team to the new Nike Air Zoom BB.

The goal is to get them to the final 15 seconds without a dropped step, that they havent lost any ability to get to the basket or get to the ball and to keep efficient shooting form so theyre in perfect shape at the very end, Hoke shares.

Nike React foam, which first launched in basketball sneakers in June 2017, is known for offering runners cushioning and energy return while being lightweight and maintaining durability. Typically, designs have to sacrifice comfort for energy return or weight for durability and vice versa.

The new Nike Air Zoom BB leverages Nike React foam under the heel, allowing athletes to carry less weight and receive more energy return, turning the force from their body into momentum in each step.

Two Air Zoom units are positioned under the ball of the athletes feet pressure points consistent with basketball performance to absorb and return energy, which results in reduced fatigue.

Nike Air Zoom BB

And for the Nike soccer teams, the focus comes down to ball control and the shoes effect on catching and passing. This brings a few firsts for Nike soccer footwear.

If we marry these surfaces (the ball and the boot) in more of a symbiotic way, their touch radically goes up, Hoke says of the inspiration for the innovation. So that goes all the way up the leg into the brain, and they feel like theyre better connected to the ball.

The Air Zoom Mercurial features a 3D-printed Flyknit-like upper, known as Flyprint, for the first time. Weve used skinned Flyknit or Flyknit material with a skin on top of it. We have used multiple types of synthetic and natural leathers. Weve looked at covered canvases, Hoke says recalling other options that were considered. Flyprint is Nikes first 3D-printed textile upper in performance footwear and debuted on the Nike Zoom Vaporfly Elite Flyprint, worn by Kipchoge in 2017.

By thinking of the surface of the new Mercurials upper as a series of contoured terrains, 3D printing allows for the most precision.

And each surface can be done specifically for a striker, a midfielder or defender, he adds. 3D printing offers a completely new way of designing that surface.

The cleat also features Air Zoom technology, with a 4.5 millimeter bag focusing on responsiveness more than cushioning for fatigue reduction like the larger Air Zoom systems for other sports. When they plant their foot into the grass, and we have these cleats perfectly designed, they feel like they can push off in any direction.

Air Zoom Mercurial

With significantly larger cushioning specifically for comfort and energy return rather than sharp running patterns demanded of the Mercurial the long-awaited Nike Air Zoom Alphafly NEXT% has finally been released.

Two exposed Air Zoom bags sit side by side for extra cushioning. These are designed for impact protection and performance and include the freedom to expand in order to minimize energy loss and maximize responsiveness.

A modified carbon fiber plate (different fromthe three exhibited in the patent docs) allows Nike to maintain the cataclysmic sensation of propelling the runner forward.

Two exposed Air Zoom bags

The plate, which is embedded in the ZoomX foam of the Alphafly NEXT%, provides stability and increased stiffness in the forefoot. And its position within the entire system also reduces stress on the ankle joint.

But there were some questions in the lead-up to the shoes release.

World Athletics, thegoverning body of track and field competitors worldwide,announcedthat there would be an indefinite moratorium on shoes with a sole exceeding 40 millimeters and containing more than one ridged embedded plate of any material.

I believe these new rules strike the right balance by offering certainty to athletes and manufacturers as they prepare for the Tokyo 2020 Olympic Games, while addressing the concerns that have been raised about shoe technology, said Sebastian Coe in a statement. If further evidence becomes available that indicates we need to tighten up these rules, we reserve the right to do that to protect our sport.

It was speculated that the combination height of the foam stack and the angle of the carbon plates could result in an unfair advantage. The stack height for the new Nike Air Zoom Alphafly NEXT% is set to increase to 39.5 millimeters, which is an increase from the 37 millimeters in the Nike ZoomX Vaporfly NEXT% that was released in 2017.

This means that the shoe wont be affected by Fridays World Athletics announcement.

Unseen since Kipchoge wore them in the INEOS Challenge, theyll be available to Nike Members this month, with broader distribution later in the spring.

In what is predicted to be the hottest Olympics in history, Nike footwear innovations are dedicated to causing the lowest level of energy expenditure as possible through diving deeply into the physics of sport.

We know that fatigue and the loss of control on space becomes where injury happens and where errors happen. Were just trying to give athletes just a little bit more of an advantage, a little bit more confidence through our designs, Hoke says.

After a ground-breaking year in elite running efficiency and subsequent better performance in athletes in Nikes, were ready to let this summers games begin.

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Nike is making footwear to improve athletes efficiency for the Tokyo Olympics - TechCrunch

How firms can meaningfully improve diversity, and why they should – InvestmentNews

While the financial advice industry publicly highlights efforts to increase racial and gender diversity, data show the needle hasnt moved meaningfully.

Women account for 14% of financial advisers, according to research firm Cerulli Associates latest survey of the industry.

InvestmentNews data show nearly two-thirds of advisers dont have any people of color in client-facing roles, and only 27% are making attempts to increase diversity through hiring.

[More: Fisher Investments launches diversity task force]

The problem is there are fewer pathways into the industry for women and people of color, as well as unique challenges facing those who do make it in, said Cerulli research analyst Marina Shtyrkov. Some of the reasons are structural and could be addressed with policy changes, while others are more subtle and will require years of persistent, coordinated efforts across the industry.

Changing human behavior and biases is a tremendous undertaking; it has taken decades to develop current perceptions and behaviors, and it may take decades to unwind them, Ms. Shtyrkov said in a statement. In order to create meaningful, lasting change, firms must be willing to make significant modifications to compensation, recruiting strategies, training programs, and leadership.

For example, public perception of the financial services industry as a male-dominated profession that doesnt work with minority communities contributes to keeping people from ever considering financial advice as a career. Even for those who consider it, the industrys focus on sales instead of relationships drive many away, Ms. Shtyrkov said.

Advisers can combat this message by more actively demonstrating financial advice as a career that can positively impact lives. Mr. Shtyrkov recommends firms partner with local non-profits, schools and universities to help spread the message.

Go out into your community and talk about what you do, Ms. Shtyrkov said in an interview with InvestmentNews, noting that many people have never seen an adviser who looks like them. They dont see themselves represented in the industry. Help them understand what the possibilities are.

Diversity goes beyond hiring; firms must also improve retention. The eat what you kill model that demands rookies quickly harvest clients and assets disadvantages people from less affluent backgrounds, Ms. Shtyrkov said. Firm culture, inadequate mentoring and limited training support all contribute to make women and people of color feel unwelcome in the industry.

By removing production or revenue requirements, if only for an advisers first few years, and instead focusing on technical training, such as building financial plans and meeting with clients, firms can better retain a diverse workforce of advisers.

Ms. Shtyrkov also recommended that firms consider adding new advisers to a team to help cushion any revenue losses.

Meredith Moore, founder and CEO of Artisan Financial Strategies, an affiliate of New York Life Securities, agreed that the pressure to produce can keep women out of financial advice, especially mothers.

If they are not on a salary and still have responsibilities at home, how do you balance that? Ms. Moore said, adding that it took years for her own practice to become profitable. There needs to be a longer period of time for people to be able to ramp up [their business].

But the more subtle barriers, such as unconscious bias against women and people of color, will just naturally take longer to overcome.

Slowly, over time, women are getting more comfortable around money, Ms. Moore said. For new people coming into the business, it wont feel like such an outside-the-box industry.

Many diversity initiatives are created in a vacuum and do little beyond pay lip service to diversity, Ms. Shtyrkov said. She believes a cohesive, collaborative strategy across the entire advice industry is more likely to result in change.

[More: Dont relegate diversity efforts as marketing]

Whats really lacking is one organization, one collective movement to bring firms together in understanding which strategies work, what are the successes and what are the learnings, she said.

In addition to positive publicity, diversity can help advisory firms deal with the growing talent shortage threatening the industry.

Cerulli estimates at least 111,500 advisers will retire over the next decade, and nearly a quarter of them dont have a succession plan. Meanwhile, less than 20,000 trainees entered the industry in 2019, and as many as 75% are expected to fail within their first five years.

Making efforts to improve diversity can help firms tap into a larger talent pool of prospective advisers.

Right now, firms are struggling to know where to pull new advisers from. There just arent enough new people coming into the industry, Ms. Shtyrkov said. If we start looking in more places, new places, if we understand what weve done in the past isnt enough for us firms can get more advisers to not only enter the industry but also stick it out.

Improving adviser diversity can also help firms scale their practice and the types of clients they serve, Ms. Moore said. In a white paper, Designing Your Economic Masterpiece In A Mans World, Ms. Moore looks at the fact that women are earning more than ever, but are not receiving the financial education or advice they need.

Ms. Moore also believes mentorship and sponsorship programs can play significant roles in making financial advice more inclusive, forging relationships with new clients and communities, and helping scale a practice.

I believe everybody deserves access to an adviser in some capacity, and youre going to be drawn to somebody that looks like you and shares common values, she said.

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How firms can meaningfully improve diversity, and why they should - InvestmentNews

New EMA Research Examines the Detection and Prevention of Automated Bot Attacks – Supply and Demand Chain Executive

Enterprise Management Associates released a new research report titled The Imitation Game: Detecting and Thwarting Automated Bot Attacks based on criteria defined by Paula Musich, research director of security and risk management at EMA.

Over 20% of all website requests are made by bad bots conducting a range of nefarious activities, including the more ubiquitous application distributed denial of service (DDoS) attacks, as well as price scraping, web fraud, account hijacking, and more. In late 2019, EMA surveyed 209 respondents representing organizations primarily serving North America to learn how defenders are responding to this increasingly virulent attack vector. The research sought respondents primarily in IT and IT security roles representing organizations with at least 500 employees.

52% of respondents indicated that their organizations public-facing applications had experienced DDoS attacks in the last year, followed by 38% of respondents reporting fake account creation and vulnerability scanning/reconnaissance attacks over that same time period. Depending on the type and size of the organization, the frequency of these attacks ranged anywhere from less than one per day to over 500 times per day.

Attackers continue to up their game by increasing the level of sophistication in their campaigns. The use of simple Python or Perl scripts to mimic the behavior of valid website visitors has given way to the use of Javascript and cookies to appear legitimate. More sophisticated bots even have their own moniker: advanced persistent bots (APBs). These APBs, which make up the lions share of all bad bots, can mimic human behavior, seek to bypass CAPTCHAs, hide behind anonymous peer-to-peer proxies, and dynamically rotate IP addresses. Increasingly, attackers try to determine how their bots are initially detected and then reconfigure and relaunch the attack in an effort to evade those detections.

Defenders are responding by turning to a range of different bot detection and mitigation providers, including dedicated bot mitigation vendors, web application firewall providers, content delivery networking services, and others. Such providers are raising the stakes by adding a wider range of telemetry to their solutions and adding new detections that employ machine learning techniques, behavioral analysis, and more on top of existing signatures, challenges, and IP reputation detections.

Automated bot attacks can cost victim organizations from thousands to millions of dollars annually in lost business, product theft, increased infrastructure costs, and more, says Musich. In the cat and mouse game between attackers and defenders, though, defenders appear to be gaining the upper hand through the use of more sophisticated detection and prevention tools.

As organizations build out and manage their defenses against automated bot attacks, they are seeing success in detecting and mitigating the most frequently used attack techniques. This is especially true for application-level DDoS attacks, which the largest percentage of respondents indicated were detected and mitigated in less than one day.

Ultimately, bot defense solutions are enabling users of the technology to limit the amount of damage automated bot attack campaigns are exacting. Respondents in the survey indicated that their use of bot defense technology enabled savings in both fraud resolution and web infrastructure costs.

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New EMA Research Examines the Detection and Prevention of Automated Bot Attacks - Supply and Demand Chain Executive