All of Us: Release of Nearly 100,000 Whole Genome Sequences Sets Stage for New Discoveries
Posted on by Joshua Denny, M.D., M.S., and Lawrence Tabak, D.D.S., Ph.D.
Nearly four years ago, NIH opened national enrollment for the All of Us Research Program. This historic program is building a vital research community within the United States of at least 1 million participant partners from all backgrounds. Its unifying goal is to advance precision medicine, an emerging form of health care tailored specifically to the individual, not the average patient as is now often the case. As part of this historic effort, many participants have offered DNA samples for whole genome sequencing, which provides information about almost all of an individual’s genetic makeup.
Earlier this month, the All of Us Research Program hit an important milestone. We released the first set of nearly 100,000 whole genome sequences from our participant partners. The sequences are stored in the All of Us Researcher Workbench, a powerful, cloud-based analytics platform that makes these data broadly accessible to registered researchers.
The All of Us Research Program and its many participant partners are leading the way toward more equitable representation in medical research. About half of this new genomic information comes from people who self-identify with a racial or ethnic minority group. That’s extremely important because, until now, over 90 percent of participants in large genomic studies were of European descent. This lack of diversity has had huge impacts—deepening health disparities and hindering scientific discovery from fully benefiting everyone.
The Researcher Workbench also contains information from many of the participants’ electronic health records, Fitbit devices, and survey responses. Another neat feature is that the platform links to data from the U.S. Census Bureau’s American Community Survey to provide more details about the communities where participants live.
This unique and comprehensive combination of data will be key in transforming our understanding of health and disease. For example, given the vast amount of data and diversity in the Researcher Workbench, new diseases are undoubtedly waiting to be uncovered and defined. Many new genetic variants are also waiting to be identified that may better predict disease risk and response to treatment.
To speed up the discovery process, these data are being made available, both widely and wisely. To protect participants’ privacy, the program has removed all direct identifiers from the data and upholds strict requirements for researchers seeking access. Already, more than 1,500 scientists across the United States have gained access to the Researcher Workbench through their institutions after completing training and agreeing to the program’s strict rules for responsible use. Some of these researchers are already making discoveries that promote precision medicine, such as finding ways to predict how to best to prevent vision loss in patients with glaucoma.
Beyond making genomic data available for research, All of Us participants have the opportunity to receive their personal DNA results, at no cost to them. So far, the program has offered genetic ancestry and trait results to more than 100,000 participants. Plans are underway to begin sharing health-related DNA results on hereditary disease risk and medication-gene interactions later this year.
This first release of genomic data is a huge milestone for the program and for health research more broadly, but it’s also just the start. The program’s genome centers continue to generate the genomic data and process about 5,000 additional participant DNA samples every week.
The ultimate goal is to gather health data from at least 1 million or more people living in the United States, and there’s plenty of time to join the effort. Whether you would like to contribute your own DNA and health information, engage in research, or support the All of Us Research Program as a partner, it’s easy to get involved. By taking part in this historic program, you can help to build a better and more equitable future for health research and precision medicine.
Note: Joshua Denny, M.D., M.S., is the Chief Executive Officer of NIH’s All of Us Research Program.
All of Us Research Program (NIH)
Join All of Us (NIH)
A New View of the 3D Genome
Posted on by Dr. Francis Collins
This lush panoply of color might stir up daydreams of getting away to explore a tropical rain forest. But what you see here is a new model that’s enabling researchers to explore something equally amazing: how a string of DNA that measures 6 feet long can be packed into the microscopic nucleus of a human cell. Fitting that much DNA in a nucleus is like fitting a thread the length of the Empire State building underneath your fingernail!
Scientists have known for a while that that the answer lies in how DNA is folded onto spool-like complexes called chromatin, but many details of the process still remain to be worked out. Recently, an NIH-funded team, led by Vadim Backman and Igal Szleifer, Northwestern University, Evanston, IL, developed this new model of chromatin folding by pairing sophisticated mathematical modeling and optical imaging.In a study published in the journal Science Advances , the team found that chromatin is folded into a variety of tree-like domains along a chromatin backbone, which they liken to an aggregation of trees growing from the forest floor. The colorful spheres you see above represent trees of varying sizes.
Earlier models of chromatin folding had suggested that DNA folds into regular and orderly fibers. In the new study, the Northwestern researchers used their own specially designed Partial Wave Spectroscopic microscope. This high-powered system, coupled with electron imaging, allowed them to peer deep inside living cells to “sense” real-time alterations in chromatin packing. What makes their new view on chromatin so interesting is it suggests our DNA is packaged in a way that’s much more disorderly and unpredictable than initially thought.
As Backman notes, it is reasonable to assume that a forest would be filled with trees of varying sizes and shapes. But you couldn’t predict the exact location of each tree or its particular size and configuration. The same appears to be true of these tree-like structures within chromatin. Their precise location and size vary, seemingly unpredictably, from cell to cell.
This apparently random DNA packing structure might seem surprising given chromatin’s importance in influencing the expression and function of our genes. But the researchers think such variability likely has its advantages.
Here’s the idea: If all of our cells responded to stressful conditions (such as heat or a toxic exposure) in exactly the same way and that way happened to be suboptimal, the whole tissue or organ might fail. But if differences in chromatin structure lead each cell to respond somewhat differently to the same stimulus, then some cells might be more likely to survive or even thrive under the stress. It’s a built-in way for cells to hedge their bets.
These new findings offer a fundamentally new three-dimensional view of the human genome. They might also inspire innovative strategies to understand and fight cancer, as well as other diseases. And, while most of us probably won’t be venturing off into the rain forest anytime soon, this work does give us all something to think about next time we’re enjoying the great outdoors in our own neck of the woods.
 Physical and data structure of 3D genome. Huang K, Li Y, Shim AR, Virk RKA, Agrawal V, Eshein A, Nap RJ, Almassalha LM, Backman V, Szleifer I. Sci Adv. 2020 Jan 10;6(2):eaay4055.
Deoxyribonucleic Acid (DNA) (National Human Genome Research Institute/NIH)
4D Nucleome (Common Fund/NIH)
Vadim Backman (Northwestern University, Evanston, IL)
Igal Szleifer (Northwestern University, Evanston, IL)
NIH Support: National Cancer Institute
Genes, Blood Type Tied to Risk of Severe COVID-19
Posted on by Dr. Francis Collins
Many people who contract COVID-19 have only a mild illness, or sometimes no symptoms at all. But others develop respiratory failure that requires oxygen support or even a ventilator to help them recover . It’s clear that this happens more often in men than in women, as well as in people who are older or who have chronic health conditions. But why does respiratory failure also sometimes occur in people who are young and seemingly healthy?
A new study suggests that part of the answer to this question may be found in the genes that each one of us carries . While more research is needed to pinpoint the precise underlying genes and mechanisms responsible, a recent genome-wide association (GWAS) study, just published in the New England Journal of Medicine, finds that gene variants in two regions of the human genome are associated with severe COVID-19 and correspondingly carry a greater risk of COVID-19-related death.
The two stretches of DNA implicated as harboring risks for severe COVID-19 are known to carry some intriguing genes, including one that determines blood type and others that play various roles in the immune system. In fact, the findings suggest that people with blood type A face a 50 percent greater risk of needing oxygen support or a ventilator should they become infected with the novel coronavirus. In contrast, people with blood type O appear to have about a 50 percent reduced risk of severe COVID-19.
These new findings—the first to identify statistically significant susceptibility genes for the severity of COVID-19—come from a large research effort led by Andre Franke, a scientist at Christian-Albrecht-University, Kiel, Germany, along with Tom Karlsen, Oslo University Hospital Rikshospitalet, Norway. Their study included 1,980 people undergoing treatment for severe COVID-19 and respiratory failure at seven medical centers in Italy and Spain.
In search of gene variants that might play a role in the severe illness, the team analyzed patient genome data for more than 8.5 million so-called single-nucleotide polymorphisms, or SNPs. The vast majority of these single “letter” nucleotide substitutions found all across the genome are of no health significance, but they can help to pinpoint the locations of gene variants that turn up more often in association with particular traits or conditions—in this case, COVID-19-related respiratory failure. To find them, the researchers compared SNPs in people with severe COVID-19 to those in more than 1,200 healthy blood donors from the same population groups.
The analysis identified two places that turned up significantly more often in the individuals with severe COVID-19 than in the healthy folks. One of them is found on chromosome 3 and covers a cluster of six genes with potentially relevant functions. For instance, this portion of the genome encodes a transporter protein known to interact with angiotensin converting enzyme 2 (ACE2), the surface receptor that allows the novel coronavirus that causes COVID-19, SARS-CoV-2, to bind to and infect human cells. It also encodes a collection of chemokine receptors, which play a role in the immune response in the airways of our lungs.
The other association signal popped up on chromosome 9, right over the area of the genome that determines blood type. Whether you are classified as an A, B, AB, or O blood type, depends on how your genes instruct your blood cells to produce (or not produce) a certain set of proteins. The researchers did find evidence suggesting a relationship between blood type and COVID-19 risk. They noted that this area also includes a genetic variant associated with increased levels of interleukin-6, which plays a role in inflammation and may have implications for COVID-19 as well.
These findings, completed in two months under very difficult clinical conditions, clearly warrant further study to understand the implications more fully. Indeed, Franke, Karlsen, and many of their colleagues are part of the COVID-19 Host Genetics Initiative, an ongoing international collaborative effort to learn the genetic determinants of COVID-19 susceptibility, severity, and outcomes. Some NIH research groups are taking part in the initiative, and they recently launched a study to look for informative gene variants in 5,000 COVID-19 patients in the United States and Canada.
The hope is that these and other findings yet to come will point the way to a more thorough understanding of the biology of COVID-19. They also suggest that a genetic test and a person’s blood type might provide useful tools for identifying those who may be at greater risk of serious illness.
 Characteristics of and important lessons from the Coronavirus Disease 2019 (COVID-19) outbreak in China: Summary of a report of 72 314 cases from the Chinese Center for Disease Control and Prevention. Wu Z, McGoogan JM, et. al. 2020 Feb 24. [published online ahead of print]
 Genomewide association study of severe Covid-19 with respiratory failure. Ellinghaus D, Degenhardt F, et. a. NEJM. June 17, 2020.
The COVID-19 Host Genetics Initiative
Andre Franke (Christian-Albrechts-University of Kiel, Germany)
Tom Karlsen (Oslo University Hospital Rikshospitalet, Norway)