Ethical gaps in autism genetics: A conversation with Holly Tabor | Spectrum – Spectrum

Holly Tabor

Associate professor, Stanford University

For many people with a genetic condition, uncovering the gene responsible opens the door to accurate diagnosis and better treatment. But thats not yet the case for most autistic people despite decades of research that has implicated hundreds of genes.

The disconnect raises ethical questions about the goals and practice of autism genetics research, says Holly Tabor, associate professor of medicine at Stanford University in California and associate director for the schools Center for Biomedical Ethics.

Most autism genetics studies tout the possibility of more personalized treatments following a genetic diagnosis, but with such treatments not yet a reality, scientists need to reconsider their stated goals, Tabor says. Not getting it right can have big consequences. In October, for example, researchers had to pause recruitment for the U.K. genetics study Spectrum 10K after some autistic advocates questioned that studys aims.

That doesnt mean we stop doing the research or the research is inherently bad, says Tabor, whose son is autistic. Its more about, how can we do it better? How do we not have another 20 years of research that doesnt significantly impact the lives of people with autism?

Tabor spoke with Spectrum about autism researchers social responsibilities, the ableism that, in her opinion, permeates the genetics field, and the need for that community to reflect on its future.

This interview has been edited for length and clarity.

Spectrum: What issues do you see in autism genetics research?

Holly Tabor: I have been really disheartened and disappointed at the lack of tangible outcomes that have come from a tremendous amount of excellent genomic research over the past 20 years. I dont think that thats anybodys fault. That was the right thing to do, and it continues to be a good research thing to do. But we have to be honest about the real outcomes and the ways in which we havent actually succeeded as we hoped. Transparency is important if we want to continue doing this research.

In research on other genetic conditions, such as cystic fibrosis or sickle cell disease, the people doing genetic research overlap with people involved in clinical care and diagnosis. In autism, historically theres been more of a divide. That leads to a gap in the agenda for the research. That is really an opportunity to be filled, and an opportunity for funding agencies to target. It doesnt mean we shouldnt do genetic research, but we should make it more integrated with the community and with the needs of the community.

I like the Maya Angelou quote: When you know better, do better. We know better, and we can do better.

S: How can geneticists better integrate the autistic community in their work?

HT: One way is by building on some of the models from PCORI [Patient-Centered Outcomes Research Institute] and other kinds of community-based participatory research to involve adults with autism to set the agenda, design the research and think about the translation of the research. Theres a science of how to do this properly. There are some protocols that have been empirically tested about how to engage communities properly. That would really help with challenges such as what happened with Spectrum10K.

Theres also a real opportunity to think about other ways that genetics and genomics research can be implemented into clinical care and diagnosis. If we found more genetic loci that predispose people to autism, what would we do with that information? Part of the dream for many researchers is to be able to say, People with this genetic susceptibility gene are more likely to respond to this kind of therapy, or to have challenges with speech and communication.

We need to think bigger than that. We have these cohorts with some clinical data and a lot of genetic data. What other kinds of questions can we study about the natural history of autism, about the lived experiences of people with autism, about different kinds of interventions? How can we involve the communities in that research to be dynamic partnerships? Whats the sustainability? How are we going to build on the data collections?

S: Ive heard you say that autism genetics researchers have a responsibility to be leaders in ethical genetics research, given how big the datasets are. What does that responsibility look like?

HT: The scientific, social, anthropological structure on which most science is based emphasizes people being experts in one particular discipline. And there arent a lot of incentives to have people think about their social responsibility. What are the injustices that still exist for people with the condition or people in the specific population that Im studying? How can I involve people in my work to become more aware of that? How can I partner with other researchers who have different expertise?

I would love to see funding agencies incentivize collaboration and partnership with the community of people with autism and their families, to try to have some shared values and priorities. You could argue that the Interagency Autism Coordinating Committee sort of does that. But it doesnt trickle down to the individual researchers.

Theres also a legitimate criticism among autistic people that genetics research is primarily not designed for them, and that its not going to improve their life. Its really hard to argue with that.

Some of the same people will argue that the kind of genetics and genomics research that has historically happened with autism, and is still happening, is really designed to try to make sure that people with autism arent born. I was at an ethics and autism conference a number of years ago, and someone asked me why I wanted to support genetics research and was I a eugenicist. I was really taken aback. I had always seen, and still do see, genetics for the power it can have to improve peoples lives. But it was a pivotal moment for me in thinking about the reasons why many people with autism perceive autism genetics research this way. Autistic people are more studied than they are partners in studies. Thats wrong.

S: Do you think ethics education could help?

HT: I dont think that thats the main solution for autism. What I would love is to have a component of the funding mechanism require engagement with the autistic community. I would like conferences and forums to bring in autistic people along with people who do autism research in genetics and genomics and in totally different areas. This includes conferences that are not autism specific but might have autism genomics research being presented, such as the American Society of Human Genetics or the American College of Medical Genetics meetings.

As a field, we have to be more aware about the context of autism and disability. Autism is very much a target of the medical model of disability. The approach has been, If we could only figure out the causes of autism, then we could prevent it, we could treat it, we could fix it. And there are some things about that that are not wrong. But it also contains a significant component of ableism that autism is such a tragedy. Thats dangerous and, quite frankly, inappropriate.

Moving forward, Im hoping for clinical genomics in general, and autism clinical genomics specifically, to have an anti-ableist view of thinking that doesnt minimize the legitimate quality-of-life issues and medical issues that exist for people with autism, particularly for people with more severe manifestations, but that also doesnt treat it as something we have to fix that were going to have a widely applicable gene therapy for someday.

Cite this article: https://doi.org/10.53053/RTOW6991

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Ethical gaps in autism genetics: A conversation with Holly Tabor | Spectrum - Spectrum

Is osteoarthritis hereditary? Genetics, causes, and more – Medical News Today

Osteoarthritis (OA) is a degenerative joint disease that causes pain and stiffness and decreases mobility. While OA is not always hereditary, experts believe that there may be a genetic component that increases the risk of developing this condition.

Around 32.5 million adults in the United States have OA. Various factors contribute to individuals developing OA, including increasing age, obesity, joint injuries, and a persons sex.

While genetics play a role in increasing the risk of someone developing OA, this condition is not hereditary.

This article explores how genetics contribute to OA and discusses other risk factors.

There are over 100 different types of arthritis, and OA is one of the most common. OA is a degenerative joint disease that worsens over time. Currently, there is no cure for this condition.

When a person has OA, their cartilage breaks down. Cartilage is a protective, fibrous connective tissue that cushions the ends of bones and allows them to move easily over each other.

When cartilage begins to break down, the bones rub against one another. In addition, bony spurs, or osteophytes, might form as the bone attempts to heal itself.

People with OA may experience pain, stiffness, and swelling in the joints.

Autoimmune forms of arthritis, such as rheumatoid arthritis, result from the immune system attacking the bodys healthy tissue.

However, doctors usually consider OA a wear and tear disease, as it is more common in people over the age of 50 and is more likely to affect weight-bearing joints, such as the knees and hips. Injuries or genetic predisposition can also increase the risk of OA.

While OA is not always heredity, in some cases, a person can inherit an increased risk of developing this condition. Experts do not currently know how the predisposition of an increased risk of developing OA passes between family members.

Experts estimate that around 4070% of OA cases have a genetic component, with a stronger link for the hip, hand, and spine. The hereditary forms of OA arise from mutations in genes that help form and maintain bone and cartilage. This type of OA may appear at a young age and rapidly progress.

There is not a single specific gene that increases the risk of developing OA. Multiple genes and other risk factors, such as obesity, injuries, and joint anatomy, also contribute to OA.

Research suggests that several groups of genes may increase the risk of developing OA, including:

While scientists have identified different gene variations that may contribute to OA, they do not yet know precisely what part genetics play in developing this condition.

Additionally, people with certain genetic traits or inheritable conditions, such as Ehlers-Danlos syndrome (EDS), may have an increase in the risk of developing OA.

People with EDS have low collagen levels, which can reduce their ability to support muscles and joints. This can lead to unstable and hypermobile joints that may contribute to OA.

More research is necessary to understand the complex interplay between genetic factors and OA.

The cause of OA is wear and tear at the joints.

A range of factors can contribute to individuals developing OA:

Typically, OA risk increases with age and appears most often in individuals over the age of 50. However, it can appear in younger individuals, particularly after a bone fracture or a cartilage or ligament tear.

OA usually worsens over time and can develop in several joints. It often begins in a single large joint, such as a hip or knee, but it may also involve a smaller joint, such as an ankle.

Some people may have OA in a single joint, but it may progress to involve other joints, such as the spine, neck, and wrists.

While doctors do not fully understand why this happens, it is possible that the pain from OA causes the individual to move differently, which then forces the joints out of alignment.

OA is a degenerative condition with no cure. This condition worsens over time and can cause significant difficulty in mobility.

If a person has individuals in their family with OA, it does not mean they will also develop the condition. Experts estimate that the heritability of OA is around:

Researchers do not fully understand the link between OA and life expectancy. In some cases, OA of the knee or hip may negatively affect an individuals life expectancy, but this is potentially due to pain, difficulty in mobility, and other health conditions.

Other types of OA, such as OA of the hand, do not appear to have an effect on life expectancy.

OA is a degenerative joint disease that worsens over time, causing difficulty in mobility and pain. Age is the primary factor that increases OA risk, but other causes include injury, obesity, sex, and genetics.

The heritability of OA is around 4070%. However, having family members with OA does not mean that a person will develop the condition.

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Is osteoarthritis hereditary? Genetics, causes, and more - Medical News Today

Heart Warriors: ‘Genetics is the future of medicine’ according to U of A researcher, who uses it to help with muscular dystrophy – The Gateway Online

A University of Alberta researcher researching muscular dystrophy was one of five researchers at the institution to receive a grant from the Heart & Stroke Foundation of Canada.

Toshi Yokota, a professor in the department of medical genetics and current The Friends of Garrett Cumming Research Chair, was a recipient of the 2021-2022 Grant-In-Aid program. This provides funding for important, pertinent, and novel research in the area of heart disease and stroke over three years.

The project funded by the Heart & Stroke Foundation of Canada involves using peptides, short chains of amino acids, to deliver antisense oligonucleotides-shorts, DNA-like molecules, to help with heart failure in patients suffering with muscular dystrophy.

Duchenne muscular dystrophy (DMD), the most common type of muscular dystrophy, is most commonly seen in males, with one in 3,500 males born worldwide suffering from this condition. A person with muscular dystrophy would see progressive weakening of their muscles, such as in their arms and legs and eventually their torso as well.

These patients often do not die from issues with the muscles of their limbs since they can still survive without them; what causes many patients to die in their 20s and 30s is heart failure. Previous methods which have been developed are unable to enter the heart to help with heart failure. Yokota and their team are studying a new molecule which may help with this.

We started this project a couple of years ago and in collaboration with Dr. Hong Moulton, at the Oregon State University, Yokota said. She discovered a new peptide called the DG-9 [and] I found that it works very well in the heart; it penetrates the membrane and we can deliver antisense oligos to the heart muscle.

Yokotas love of research started back when they were a child.

From my elementary school or secondary school I always liked science and I read lots of books about science and I like, for example, watching stars and insects or animals, they said. It sounded quite natural to me. I like science and I like research.

Yokota began diving more into genetics during their undergraduate degree at the University of Tokyo. In graduate school, one of their professors, Dr. Shinichi Takeda, had just started a new lab researching muscular dystrophy and was looking for new students.

I thought genetics was the future of medicine and thats very fascinating I think its quite natural to me to join his lab, they said.

Something that Yokota wants students to remember is to focus on what you can do and what interests you, not what you cannot do.

When I was a high school student I was more interested in astrophysics and read many books written by Stephen Hawking and other scientists, they said. But it turned out I am better at biology and I changed my focus to biology at my university, which worked out very well.

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Heart Warriors: 'Genetics is the future of medicine' according to U of A researcher, who uses it to help with muscular dystrophy - The Gateway Online

Novel genetic mapping study traces links between DNA variations and blood proteins – News-Medical.Net

A new genetic mapping study led by researchers at the Johns Hopkins Bloomberg School of Public Health traces links between DNA variations and thousands of blood proteins in two large and distinct populations. The results should help researchers better understand the molecular causes of diseases and identify proteins that could be targeted to treat these diseases.

The study included more than 9,000 Americans of European or African ancestry, and generated maps of DNA-to-protein links for both groups. The study is thought to be the first of its kind to include two large and ancestrally distinct population cohorts. Proteins play a critical role in cellular function, and changes in protein mechanisms-;often regulated by DNA variations-;can lead to disease. DNA-to-protein mapping could help explain differences in the rates of some diseases in the two groups and help researchers understand some health disparities.

The study appears May 2 in Nature Genetics.

Researchers have been mapping the molecular roots of human diseases for decades through so-called genetic mapping studies. The best known is the genome-wide association study (GWAS). A GWAS typically links variations in DNA to disease risk by analyzing the DNA of subjects-;often tens or hundreds of thousands of individuals at a time-;along with their history of a given disease. This uncovers statistical associations linking the disease to specific DNA variations.

Missing from the GWAS picture: Most of the disease-linked DNA variants identified by GWAS analysis do not lie within protein-coding genes. Researchers therefore assumed that many-;even most-;disease-linked DNA variants affect proteins indirectly, by regulating one or more steps in the gene-to-protein production process, thereby altering protein levels. Linking diseases directly to proteins, researchers can better understand the roots of disease-;and also identify protein targets for disease prevention and treatments.

This relatively new kind of mapping study provides a wealth of information that will allow researchers to test for potential links of proteins on various types of health outcomes-; risk of cancers, heart disease, severe COVID-; and help to develop or repurpose therapeutic drugs."

Nilanjan Chatterjee, PhD, Study Senior Author and Bloomberg Distinguished Professor, Biostatistics, Johns Hopkins Bloomberg School of Public Health

To demonstrate the DNA-protein mapping's application, the researchers used it to identify an existing rheumatoid arthritis drug as a plausible new treatment for the common joint-pain disorder known as gout.

The study was a collaboration between Chatterjee's team and the research group of Josef Coresh, MD, George W. Comstock Professor in the Bloomberg School's Department of Epidemiology and one of the paper's co-authors, and colleagues at several institutions.

The analysis covered 7,213 Americans of European ancestry and 1,871 African Americans in the long-running Atherosclerosis Risk in Communities (ARIC) study, headed by Coresh; and 467 African Americans from the African American Study of Kidney Disease and Hypertension (AASK). In both of these studies, the research teams had sequenced the genomes of the participants and recorded bloodstream levels of thousands of distinct proteins.

For their mapping study, Chatterjee's team analyzed the ARIC and AASK genomic data to identify more than two thousand common DNA variations that lie close to the genes encoding many of these proteins and correlate with the proteins' bloodstream levels.

"The value of knowing about these DNA variants that predict certain protein levels is that we can then examine much larger GWAS datasets to see if those same DNA variants are linked to disease risks," Chatterjee says.

Using a European-American dataset, they found that it predicted several proteins whose levels would influence the risk of gout or bloodstream levels of the gout-related chemical urate. These proteins included the interleukin 1 receptor antagonist (IL1RN) protein, which appears to lower gout risk-;a finding that suggests the existing rheumatoid arthritis drug anakinra, which mimics IL1RN, as a plausible new therapy for gout.

Having data from both white and Black Americans allowed the researchers to map protein-linked DNA variants more finely than if they had been restricted to one or the other. The African-ancestry models generated in the study will allow future analyses of how different populations' genetic backgrounds might contribute to differences in disease rates.

"We know that prostate cancer risk, for example, is higher in African American men, so in principle, one could combine prostate cancer GWAS data on African Americans with our protein data to identify proteins that contribute to elevated prostate cancer risk in that population," Chatterjee says.

The team has made its datasets and protein prediction models publicly available online so researchers can use the resource. Chatterjee's team and collaborators anticipate doing further studies in the ARIC and AASK cohorts, as well as in other diverse cohorts, to gather information on proteins and other factors that influence the DNA-to-disease chain of causality.

"Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies" was co-authored by first authors Jingning Zhang and Diptavo Dutta, and by Anna Kttgen, Adrienne Tin, Pascal Schlosser, Morgan Grams, Benjamin Harvey, CKDGen Consortium, Bing Yu, Eric Boerwinkle, Josef Coresh, and Nilanjan Chatterjee.

The analysis of this project was supported by a RO1 grant from the National Human Genome Research Institute at the National Institutes of Health (1 R01 HG010480-01). Additional NIH grants supporting this research include R01 HL134320, R01 AR073178, R01 DK124399, and HL148218. The Atherosclerosis Risk in Communities study has been funded in whole or in part by the National Heart, Lung, and Blood Institute; National Institutes of Health; Department of Health and Human Services (HHSN268201700001I, HHSN268201700002I, HHSN268201700003I, HHSN268201700005I, HHSN268201700004I).

Source:

Journal reference:

Zhang, J., et al. (2022) Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies. Nature Genetics. doi.org/10.1038/s41588-022-01051-w.

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Genetic Links Revealed Between Severe COVID-19 and Other Medical Conditions – SciTechDaily

A recent study of data from the Veterans Affairs Million Veteran Program discovered genetic correlations between COVID-19 severity and a variety of medical problems that are established risk factors for severe COVID-19.

A new analysis of data from the Veterans Affairs Million Veteran Program has uncovered genetic links between COVID-19 severity and various medical conditions that are known risk factors for severe COVID-19. Anurag Verma of the Corporal Michael Crescenz VA Medical Center in Philadelphia, Pennsylvania, US, and colleagues published these findings on April 28th, 2022, in the open-access journal PLOS Genetics.

Some patients with COVID-19 have a more severe case of the disease than others. Previous research has found certain variants in specific human genes that are linked with a person experiencing more severe COVID-19. Some of these variations may also be associated with other medical conditions that may already be well understood; discovering these shared variants could increase understanding of COVID-19 and reveal potential new paths for treatment.

While genes linked to severe COVID-19 were associated with established risk factors and adverse outcomes, including deep vein thrombosis, a significant subset of these genes had opposite associations with reduced risk of immune-mediated disorders such as psoriasis, lupus, and rheumatoid arthritis. Credit: Anurag Verma, Katherine Liao, and Scott Damrauer (CC-BY 4.0)

To identify shared variants, Verma and colleagues used an unprecedented dataset of genotypic information linked to electronic health record data (EHR) for more than 650,000 U.S. veterans. They conducted a type of analysis known as a phenome-wide association study (PheWAS) to examine links between variants often found in Veterans who experienced severe COVID-19 and variants associated with a broad selection of medical conditions.

The analysis revealed that certain variants associated with COVID-19 are also associated with known risk factors for COVID-19. Particularly strong links were found for variants associated with venous embolism and thrombosis, as well as type 2 diabetes and ischemic heart diseasetwo known COVID-19 risk factors.

The analysis also found genetic links between severe COVID-19 and neutropenia for Veterans of African and Hispanic ancestry; these links did not appear for those of European ancestry.

Among respiratory conditions, idiopathic pulmonary fibrosis and chronic alveolar lung disease shared genetic links with severe COVID-19, but other respiratory infections and chronic obstructive pulmonary disease (COPD) did not. Some variants associated with severe COVID-19 were also associated with reduced risk of autoimmune conditions, such as psoriasis and lupus. These findings highlight the need to carefully weigh various aspects of the immune system when developing new treatments.

Despite some limitations of the PheWAS method, these findings could help deepen understanding of COVID-19 and guide development of new treatments.

Verma concludes, The study demonstrates the value and impact of large biobanks linking genetic variations with EHR data in public health response to the current and future pandemics. MVP is one of the most diverse cohorts in the US. We had a unique opportunity to scan thousands of conditions documented before the COVID-19 pandemic. We gained insights into the genetic architecture of COVID-19 risk factors and disease complication.

One thing that stood out to us was the high number of immune-mediated conditions that shared genetic architecture with severe manifestations of COVID-19, coauthor Katherine Liao adds.The nature of the associations brought to light how the SARS-CoV2 virus pushes on a pressure point in the human immune system and its constant balancing act of fighting infection while maintaining enough control so that it does not also become an autoimmune process, attacking self.

Reference: A Phenome-Wide Association Study of genes associated with COVID-19 severity reveals shared genetics with complex diseases in the Million Veteran Program by Anurag Verma, Noah L. Tsao, Lauren O. Thomann, Yuk-Lam Ho, Sudha K. Iyengar, Shiuh-Wen Luoh, Rotonya Carr, Dana C. Crawford, Jimmy T. Efird, Jennifer E. Huffman, Adriana Hung, Kerry L. Ivey, Michael G. Levin, Julie Lynch, Pradeep Natarajan, Saiju Pyarajan, Alexander G. Bick, Lauren Costa, Giulio Genovese, Richard Hauger, Ravi Madduri, Gita A. Pathak, Renato Polimanti, Benjamin Voight, Marijana Vujkovic, Seyedeh Maryam Zekavat, Hongyu Zhao, Marylyn D. Ritchie, VA Million Veteran Program COVID-19 Science Initiative, Kyong-Mi Chang, Kelly Cho, Juan P. Casas, Philip S. Tsao, J. Michael Gaziano, Christopher ODonnell, Scott M. Damrauer and Katherine P. Liao, 28 April 2022, PLOS Genetics.DOI: 10.1371/journal.pgen.1010113

Funding: This research is based on data from the Million Veteran Program, Office of Research and Development, Veterans Health Administration, and was supported by award MVP035. S.M.D. is supported by US Department of Veterans Affairs (IK2-CX001780). R.C. is supported by NIH grants R01 AA026302 and P30 DK0503060. K.P.L. is supported by NIH P30 AR072577, and the Harold and Duval Bowen Fund. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Genetic Links Revealed Between Severe COVID-19 and Other Medical Conditions - SciTechDaily

The 5% solution: Researchers crack wheat’s genetic code, open door to higher yields – Herald and News

DAVIS, Calif. Researcher Jorge Dubcovsky and his team have identified one of the genes in wheat that increases yield the holy grail for farmers.

Yield the amount of wheat grown per acre is how wheat farmers pay the bills.

We always joke in wheat breeding that the first three top priorities are yield, yield and yield, Dubcovsky, a University of California-Davis wheat breeder, told the Capital Press. There are premiums and discounts for protein, but the grower is paid by the yield. Thats the only thing that the grower gets.

The gene Dubcovsky and his team discovered controls the maximum number of grains the plant produces. They estimate the discovery could eventually increase yields by as much as 5%.

Breeders devote most of their efforts to pursuing yield, Dubcovsky said.

You only advance varieties that will yield better than the previous one, Dubcovsky said. If not, nobody will buy it.

But, he said, yield has been a very difficult trait to crack.

The reason is many variables impact wheat yields.

One year, the varieties that dont shatter in the wind will yield more. The next year, there could be a disease. Another year, too much heat.

Its difficult to pinpoint whether a varietys overall performance is due to genes or other factors, Dubcovsky said.

Dubcovsky leads the research for WheatCAP, a consortium of 41 breeders and researchers at 22 institutions in 20 states.

Researchers have identified most of the genes that contribute to a good bread, including protein, loaf volume and uniformity, and use molecular markers to select for those traits.

Has he finally cracked the trait?

I think we have cracked the easier part of this difficult problem, he said with a chuckle.

How it works

In the future, farmers holding a new variety of wheat in their hands wont see any difference from todays wheat, Dubcovsky said.

But if you look at the end of the spike, you have one more spikelet at the end, he said.

The plants genes determine when to stop producing those spikelets, which hold the grain, he explained. Researchers want to enable the plant to produce spikelets a little bit longer.

The newly discovered gene, designated WAPO1, controls the maximum number of grains in a wheat spike. Breeding it into plants could make room for more grains to grow in each spike by delaying formation of the terminal spikelet.

The only thing you will notice is that a spike will be a little bit longer and have more of those spikelets on the side, he said.

Step by step

At its core, yield is measured by the number of wheat spikes per square foot of land, multiplied by the number of grains each spike has, multiplied by the weight of each grain, Dubcovsky said.

One of those components, the number of grains, is a little bit easier to do genetics with, he said.

Researchers have identified several genes that control the weight of grains, he said.

But a plant with more grains has to produce enough starch to fill them, or else farmers will end up with more but smaller grains, and a plant producing the same yield.

Now, researchers are working on the more difficult part of the question, Dubcovsky said: making a more robust plant, with more biomass, that can mobilize more starch to the extra grains to increase yield.

We have made a step forward, he said. We have half of the equation solved.

The gene already existed in half of the modern wheat varieties in the world, he said. Identifying it may benefit those varieties that didnt already have it. WAPO1 is frequently found in wheat varieties used to make bread flour but not in pasta wheats such as durum.

We know now in which varieties its present and which its not present, he said. We didnt know that before. We were blind.

But it will be years before higher-yielding wheat varieties appear in farmers fields. New varieties take 5 to 10 years to develop, Dubcovsky said.

The reality in breeding is that we go step by step, he said. In plants that have a good biomass, you can push yield 5%.

That might not sound like much of an improvement at first.

But given that the worlds wheat farmers raise 750 million metric tons each year, and wheat produces 20% of calories and protein consumed by the human population, and the need to soon feed 3 billion more people on the same amount of land, that 5% starts taking a different perspective, he said.

Two farmers

Gary Bailey and Andy Juris raise wheat about 200 miles apart in Washington state. For both farmers, yield is a major consideration when deciding which varieties to plant.

Their farms receive different amounts of rain.

Bailey farms in St. John and represents Whitman County farmers on the Washington Grain Commission board. His land can receive 14 to 17 inches of rain per year a lot for this part of the state.

For him, a typical winter wheat yield is about 80 bushels per acre.

Juris farms in Bickleton and is vice president of the Washington Association of Wheat Growers. His farm normally receives 8 to 10 inches of rain each year although last year during the drought it got 3 inches.

In a fallow rotation, in which he rests his soil some years, his average yield is 35 to 40 bushels per acre.

Where he does annual cropping in shallow soils that cant hold precipitation, he averages 25 bushels per acre.

Dubcovskys 5% increase would mean a bushel or two more per acre, Juris said.

Were kind of clinging on sometimes by our fingernails to the margins of what is considered decent, farmable ground, he said. Were always looking for that next percentage.

Time will tell

Breeders in the Pacific Northwest say Dubcovskys discovery will put another tool in their toolbox.

Identifying the gene wont directly affect general breeding efforts in the near future, but could help breeding for specific production systems long term, Washington State University spring wheat breeder Mike Pumphrey said.

If the genes already present in Oregon State Universitys germplasm, molecular markers can be used for marker-assisted selection, said OSU breeder Bob Zemetra.

If not, it could be bred into elite germplasm and evaluated to determine the impact on yield, he said.

Everyone agrees on one point: Quality must not be sacrificed.

Yield pays the bills, but if a grower is discounted for low quality, that can change how much theyre paid in a hurry, said Mary Palmer Sullivan, vice president of the Washington Grain Commission.

Pumphrey recommends growers watch reliable, replicated, multi-year, multi-location regional yield performance data, while considering other traits of importance.

As part of the WheatCAP consortiums $15 million grant from the USDA National Institute of Food and Agriculture, researchers are evaluating the effect of the genes in combination with other traits for increased yield, said Arron Carter, winter wheat breeder at WSU.

Researchers need to take a holistic approach with all components of production, Carter said, adding that top yield is dictated by genetics, climate, inputs, cropping system and soil health.

I dont think we have reached our limits yet, he said. I think genetics can continue to push yield higher.

GMO quandary

Years ago, corn and soybean yields skyrocketed with the advent of genetically modified organisms, or GMOs, in which genetic traits such as pest resistance are inserted into the varieties.

The global wheat market, however, has not embraced the technology. As yet, there are no commercialized varieties of wheat available in the market developed through biotechnology.

It is unfortunate that we cannot use GMOs in wheat, because we can do a lot more, Dubcovsky said. Basically, you are asking us to give you more food in the same space, and you tied our hands at our backs. But since those are the rules, we continue to do breeding with our hands tied at our backs.

Breeding will continue to improve without GMOs, he said. But GMOs would allow solutions to a lot of problems, including nutrition and the economic value of wheat.

I understand, people always fear what they dont know, and we need to respect peoples fear, he said. From a scientific point of view, theres no rationale on the limitations they are putting upon me (with) GMO. But I respect the people if people do not want to eat them, I will not produce it.

Investing in food

Dubcovsky, 65, said its also time to find a younger researcher to overlap with him at UC-Davis to eventually take up the mantel.

In the meantime, I will continue doing it, I enjoy doing it, he said.

Even when a new person arrives, hed happily keep helping out.

This is my passion, so I will proudly continue working on it, he said.

Sullivan, of the grain commission, notes that Dubcovsky identified the gene through federal research funding.

While each state that has a checkoff for wheat contributes towards research, we cant do it alone, she said. These are the types of grants and opportunities that we wouldnt otherwise have. The more information, and the more tools they have in their toolbox, the better off were going to be. Its a really good investment in taxpayer dollars.

Dubcovsky echoed the need to support agricultural research.

Food is not something thats sold in the supermarket, he said. Food is something you need to fight for and you need to invest for, if you want to have food on the table tomorrow. Producing food takes work of a lot of people.

Dubcovsky left research on yield for the end of his career because he knew it would be difficult.

Making a more productive plant requires a plant that grows faster, a little taller, with a stronger stem to support more grain.

It can be done, he said, pointing to triticale, a cross between durum wheat and rye, which has some of those traits.

We know that its possible, he said. Now we just need to figure out how to get there.

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The 5% solution: Researchers crack wheat's genetic code, open door to higher yields - Herald and News

Children’s Research Institute Seminar Series: Genetics and Functional Mechanisms of the SPTBN1 Syndrome – UNC Research – UNC Research

Presented by:Damaris Lorenzo, PhDAssistant Professor of Cell Biology and Physiology

Dr. Lorenzos lab investigates the contribution of the cytoskeleton to key physiological processes and the mechanistic basis of cytoskeleton-associated disorders. Their goal is to understand the roles of cytoskeletal proteins in the regulation of cellular dynamics and bioenergetics in metabolically active tissues as well as their involvement in brain development and connectivity.Read more >>

Please contactchildrensresearch@med.unc.edufor Zoom details.

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Children's Research Institute Seminar Series: Genetics and Functional Mechanisms of the SPTBN1 Syndrome - UNC Research - UNC Research

Hunger alters the behavior of worms, and perhaps humans too – Earth.com

We are probably all familiar with the way that hunger can change our behavior make us grumpy, angry or less able to cope. But the way in which signals from the gut are communicated to the brain and end up causing changes in behavior are not well understood.

Now, scientists from the Salk Institute have investigated just this topic, using lowly worms as a model to examine the molecular origins of behavioral changes in hungry individuals. They created a barrier of copper sulfate, a known worm repellent, and allowed tiny worms (Caenorhabditis elegans) the option of crossing it to access food on the other side.

Animals, whether its a humble worm or a complex human, all make choices to feed themselves to survive. The sub-cellular movement of molecules could be driving these decisions and is maybe fundamental to all animal species, said senior authorSreekanth Chalasani, associate professor in Salks Molecular Neurobiology Laboratory.

Chalasani and the team found that if worms were deprived of food for two to three hours, they were more willing to cross the toxic barrier to access the food than were well-fed worms. The researchers then used genetic tools and imaging techniques to establish whether molecules in the gut were signaling to the brain in ways that would explain this more risky behavior.

The results, published today inPLOS Genetics,suggest that specific transcription factors, proteins that turn genes on and off, changed location in hungry animals. Normally, transcription factors are found in a cells cytoplasm but move into the nucleus when activated, but the Salk scientists found that these transcription factors, known as MML-1 and HLH-30, move back to the cytoplasm in cells of the gut when a worm is hungry.

When the scientists deleted these transcription factors, hungry worms stopped trying to cross the toxic barrier, indicating a central role for MML-1 and HLH-30 in controlling how hunger changes worm behavior.

In a subsequent experiment, the researchers also discovered that a protein called insulin-like peptide (INS-31) is secreted from the gut when MML-1 and HLH-30 are on the move. Neurons in the brain, in turn, make a receptor that might detect the INS-31secretions.

The authors summarize their findings as follows: in a worm deprived of food, the transcription factors MML-1 and HLH-30 move back to the cytoplasm of cells in the gut, which could promote the secretion of the protein called INS-31 from the gut cells. These INS-31 proteins then travel to, and bind to, receptors on neurons in the brain and this relays the information that food is needed. Worms then respond to the huger information by choosing appropriate behavior to access food, even if this involves taking risks.

C. elegansare more sophisticated than we give them credit for, said co-first author Molly Matty, a postdoctoral fellow in Chalasanis lab. Their intestines sense a lack of food and report this to the brain. We believe these transcription factor movements are what guide the animal into making a risk-reward decision, like traversing an unpleasant barrier to get to food.

The researchers propose that such molecular mechanisms may also exist in humans and may change our behavior when we are hungry. They plan to undertake further research on the dynamic nature of these transcription factors and establish whether similar mechanisms operate in other animals, such as humans, to prioritize basic needs over comfort.

By Alison Bosman, Earth.com Staff Writer

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Hunger alters the behavior of worms, and perhaps humans too - Earth.com

Impact of COVID-19 on User and Entity Behavior Analytics Market ; Segmented:: By Component, By Deployment Type, By End user, And Region Global…

New York, May 05, 2022 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Impact of COVID-19 on User and Entity Behavior Analytics Market ; Segmented:: By Component, By Deployment Type, By End user, And Region Global Analysis of Market Size, Share & Trends For 20192020 And Forecasts To 2031" - https://www.reportlinker.com/p06272881/?utm_source=GNW Product Overview Banking fraud, insider threat, & targeted attacks can all be detected using user and entity behavior analytics. This method is used to analyze human behavior patterns and then find deviations using statistical analysis and algorithms. When end users collaborate, malware might become dormant and go undiscovered. Rather than trying to figure out where the outsider got in, user and entity behavior analytics uses algorithms to detect internal threats, allowing for faster detection. In big data platforms like Apache Hadoop, user and entity behavior analytics solutions are utilized to analyze petabytes of data, detect insider risks, and detect sophisticated persistent threats. The collected data is evaluated to identify various human behavioral patterns used to identify odd behavior and threats.

Market Highlights Global User and Entity Behavior Analytics market is expected to project a notable CAGR of 40.6% in 2031.

Increased cyber threats faced by insiders in businesses, as well as the inability of standard security systems to detect such insider threats, are driving the global market. Furthermore, the global market is expected to be driven by a lack of skilled security professionals who understand the privacy risk faced by users, as organizations have been expected to prefer behavior analyticsolutions that rely on MLto identify such threats with minimal human interaction.

Global User and Entity Behavior Analytics: Segments Solution component segment to grow with the highest CAGR during 2021-31

Based on Component, User and Entity Behavior Analytics Market has been segmented Solution and Services. Threats, compromised identities, data loss protection, and other solution segments are used to classify the market. Insider threats in the Solution segment are providing the highest share of the global user & entity behavior analytics market during the forecast period. Because firms know the crucial need of preventing insider breaches, insider threat measures are in a growing market. Organizations are significantly spending on hazard detecting analytical solutions to disclose security concerns that cybercriminals may abuse, which is driving the economy for UEBA solutions, which is driving the market for smart technology and security solutions.

Financial services and insurance segment to grow with the highest CAGR during 2021-31

By End-users the market is segmented into Government and Defense, Energy and Utilities, Healthcare, Retail and e-commerce, Financial Services, and Insurance, IT and Telecom, Others. The risk of cyber-crime increases as the number of customers in the insurance, accounting, and finance industries expands. As a result, these businesses generally use the UEBA because it provides customers with instant access to deposit & payment services. UEBA systems enable rapid threat detection and notify the organization of a wide range of behavioral patterns and potential insider threats, attracting end-users to the market.

Market Dynamics Drivers

Increasing demand for real-time analytics.

The usage of User & Entity Behavior Analytics broadens the security perimeter to include closed networks, users, cloud service providers, as well as weird and smartendpoint devices. User behaviors are monitored and assessed using UEBA systems, which provide real-time & continuous monitoring. More on the COVID-19 epidemic Many industries have been pushed to operate online as a result of the impact, which has increased the risk of cyber security &thus the demand for UEBA.

Rising adoption of a user-centric approach

The requirement to prevent insider risk faced by users is one of the markets beneficial elements. As a result of the growing volume of data breaches and enormous investment in threatsprevention technologies, demand for user & entity behavior analytics is likely to rise rapidly throughout the projection period. With the increased demand for advanced security solutions, businesses are heavily investing in attacks detection analytical solutions to reveal security concerns that criminals may exploit, which is driving demand for user & entity behavior analytics solutions. Insider threats, information security, external attacks, & identity, and access management are all covered by this system.

Restraint Scarcity of trained security personnel and a lack of public awareness

The dearth of qualified security personnel and lack of awareness of advanced insider threats are two challenges that hinder the growth of the user & entity behavior analytics industry. In addition, the global markets growth is hampered by a user-centric approach and insufficient budget allocationfor user and behavior analytics solutions.

Global User and Entity Behavior Analytics: Key Players Amazon Web Services, Inc. Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, SWOT Analysis

Bay Dynamics, Inc. Dtex Systems Inc. Exabeam, Inc. Gurucul Rapid7 Inc. Securonix, Inc. Splunk, Inc. Varonis Systems, Inc. Other Prominent Players Global User and Entity Behavior Analytics: Regions Global User and Entity Behavior Analytics market is segmented based on regional analysis into five major regions: North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa. Because of the rising use of consumer and organizational functional analytics solutions, the North American region is expected to hold the greatest share of the worldwide market throughout the forecast period. The increase in user behavior analytics security can be attributed to the rising usage of mobile & online apps in the sector, as well as the need for security solutions capable of spotting data risks. Due to increased investment in safety surveillance technology for the protection of citizens, the marketis expected to rise during the forecasted period. In addition, the government is investing in ArtificialIntelligence, 5G, cloud, IoT, and networking.

Impact of Covid-19 on User and Entity Behavior Analytics Market

The devastating impact of the widespread COVID-19 pandemic has stifled the User & Entity Behavior Analytics Markets growth potential. As a result of the COVID-19 outbreak, many sectors have been forced to operate online, raising the risk of cyber security therefore, as a result, the need for UEBA has expanded. The International User and Entity Behavior Analytics (UEBA) Technology Market is expected to grow fast as a result of the growing digital presence, offering new opportunities over the anticipated period.

Global User and Entity Behavior Analytics is further segmented by region into:

North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR the United States and Canada Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR Mexico, Argentina, Brazil and Rest of Latin America Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey and Rest of Europe Asia Pacific Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC the Middle East and Africa Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR North Africa, Israel, GCC, South Africa and Rest of MENA Global User and Entity Behavior Analytics report also contains analysis on: User and Entity Behavior Analytics Segments:

By Component Solution (Insider Threats, Compromised Credentials, Data Loss Prevention, and Others) Services (Implementation and Ongoing Optimization) By Deployment Type On-Premises Cloud By End-user Financial Services & Insurance Retail & Ecommerce Energy & Utilities IT & Telecom Healthcare Defense & Government Others User and Entity Behavior Analytics Dynamics User and Entity Behavior Analytics Size Supply & Demand Current Trends/Issues/Challenges Competition & Companies Involved in the Market Value Chain of the Market Market Drivers and Restraints User and Entity Behavior Analytics Market Report Scope and Segmentation Report Attribute Details The market size value in 2021 USD 645.6 million The revenue forecast in 2031 USD 19,481.6 million Growth Rate CAGR of 40.6% from 2021 to 2031 The base year for estimation 2020 Quantitative units Revenue in USD million and CAGR from 2021 to 2031 Report coverage Revenue forecast, company ranking, competitive landscape, growth factors, and trends Segments covered Component, Deployment Type, End-User, and Region Regional scope North America, Europe, Asia Pacific, Latin America, Middle East & Africa (MEA) Key companies profiled Amazon web services Inc., Bay Dynamics, Inc., Dtex Systems Inc., Exabeam, Inc., Gurucul, Rapid7 Inc., Securonix, Inc., Splunk, Inc., Varonis Systems, Inc., and Other Prominent PlayersRead the full report: https://www.reportlinker.com/p06272881/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Impact of COVID-19 on User and Entity Behavior Analytics Market ; Segmented:: By Component, By Deployment Type, By End user, And Region Global...

Gen Re and Suffolk University Announce Strategic New Behavioral Economics Relationship – Business Wire

STAMFORD, Conn.--(BUSINESS WIRE)--Suffolk University professors are bringing their expertise in behavioral economics to Gen Re through a unique business relationship designed to benefit the reinsurers clients in the areas of underwriting, marketing, client engagement, customer service and more.

Behavioral economics draws from the fields of psychology and economics to better understand human behavior and decision-making when they deviate from strict rationality.

Over the past several years, Gen Re has conducted and shared results of several in-house behavioral economics studies focusing on key areas of interest to insurers. This research helped Gen Res reinsurance clients improve disclosure on insurance applications and personal history interviews, as well as explore other areas of interest such as policyholder communication, financial planning presentations, marketing materials and website design. Expanding upon the Gen Re Research teams existing efforts, the relationship with Suffolk University will provide:

Traditional economics is all about rational individuals, how they respond to prices, etc., explains Jonathan Haughton, professor of Economics at Suffolk University in Boston. However, there are all sorts of cases where we dont behave quite so rationally.

Haughton and Suffolk Assistant Professor Lawrence De Geest both teach in the field of behavioral economics and are sharing their knowledge with Gen Res Research team. De Geests research examines the emergence of social norms and the effect of information on decision-making.

All kinds of psychological factors outside of traditional economics play into peoples decision-making, Haughton says. For example, when it comes to health and medical disclosure, the way a question is framed in a questionnaire can make a big difference to what people choose to disclose. Loss aversion is another psychological factor that can affect economic decision-making. People are very averse to losing things to which they have become attached, so instead of saying, Save $50 a month, you might say Stop losing $50 a month. Dont lose your ability to support your household.

Keith Brown, Senior Vice President and Head of Individual Life at Gen Re, says its important for insurers to pay attention to these important behavioral factors: At a time of rapidly evolving underwriting approaches, uncertainty about future morbidity and mortality improvement, and increased insurer focus on client engagement, the behavioral economics training is being made available to Gen Re clients at an important industry inflection point.

Suffolk University, located in the heart of downtown Boston, has a long history of partnering with industry to share relevant academic and business knowledge, research, and expertise.

I am a big believer in faculty doing work with business, government and the non-profit sector outside of the academy, Haughton says. I think in the right proportion, it hugely benefits teaching and research.

For more information on Gen Res Behavioral Economics research, visit our webpage: http://www.genre.com/behavioraleconomics.

About Gen ReGen Re, a Berkshire Hathaway Company, is one of the leading Life/Health and Property/Casualty reinsurers in the world. Our North American Life/Health reinsurance company, General Re Life Corporation, has superior financial strength ratings among Life and Health reinsurers. Gen Re delivers customized reinsurance programs and risk management solutions for the Life, Medicare Supplement, Critical Illness, and Individual Disability Income markets. Through our research, we also offer valuable information and insights. http://www.genre.com

About Suffolk UniversitySuffolk University, located in historic downtown Boston, with an international campus in Madrid, provides students with experiential and transformational learning opportunities that begin in the center of Boston, reach across the globe and lead to extraordinary outcomes for graduates. The University is driven by the power of education, inclusion and engagement to change lives and positively impact communities. Suffolk University offers a wide range of undergraduate and graduate programs in its College of Arts & Sciences, Sawyer Business School, and Law School.

Jonathan Haughton Suffolk UniversityJonathan Haughton is Professor of Economics at Suffolk University. He has published over 50 articles in refereed journals, on topics spanning taxation, demography, energy, the measurement and analysis of poverty, and entrepreneurship. He is currently working on a book on Causal Business Analytics.

A prize-winning teacher, he has taught, worked, or made presentations in over 30 countries.

He earned his PhD from Harvard University in 1983 and is a CFA charterholder.

Lawrence De Geest Suffolk UniversityLawrence De Geest is an Assistant Professor of Economics at Suffolk University and a Senior Data Scientist at the National Basketball Association. His current research examines the emergence of social norms and the effect of information on decision-making. Learn more about his teaching and research at https://lrdegeest.github.io/.

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Gen Re and Suffolk University Announce Strategic New Behavioral Economics Relationship - Business Wire