Posted on by Dr. Francis Collins
Many factors influence our risk of illness from SARS-CoV-2, the coronavirus responsible for COVID-19. That includes being careful to limit our possible exposures to the virus, as well as whether we have acquired immunity from a vaccine or an earlier infection. But once a person is infected, a host of other biological factors, including age and pre-existing medical conditions, will influence one’s risk of becoming severely ill.
While earlier studies have tied COVID-19 severity to genetic variations in a person’s antiviral defenses and blood type, we still have a lot to learn about how a person’s genetic makeup influences COVID-19 susceptibility and severity. So, I was pleased to see the recent findings of an impressive global effort to map the genetic underpinnings of SARS-CoV-2 infection and COVID-19 severity, which involved analyzing the genomes of many thousands of people with COVID-19 around the globe.
This comprehensive search led to the identification of 13 regions of the human genome that appear to play a role in COVID-19 infection or severity. Though more research is needed to sort out these leads, they represent potentially high-quality clues to the pathways that this virus uses to cause illness, and help to explain why some people are more likely to become infected with SARS-CoV-2 or to develop severe disease.
The international effort, known as The COVID-19 Host Genetics Initiative, is led by Andrea Ganna, Institute for Molecular Medicine Finland, Helsinki, and colleagues in the United States and around the world. Teasing out those important genetic influences is no easy task. It requires vast amounts of data, so Ganna reached out to the scientific community via Twitter to announce a new COVID-19 gene-hunting effort and ask for help. Thousands of researchers around the world answered his call. The new study, published in the journal Nature, includes data collected through the initiative as of January 2021, and represents nearly 50,000 COVID-19 patients and another 2 million uninfected controls .
In search of common gene variants that may influence who becomes infected with SARS-CoV-2 and how sick they will become, Ganna’s international team turned to genome-wide association studies (GWAS). As part of this, the team analyzed patient genome data for millions of so-called single-nucleotide polymorphisms, or SNPs. While these single “letter” nucleotide substitutions found all across the genome are generally of no health significance, they can point the way to the locations of gene variants that turn up more often in association with particular traits or conditions—in this case, COVID-19 susceptibility or severity. To find them, the researchers compared SNPs in people with COVID-19 to those in about 2 million healthy blood donors from the same population groups. They also looked for variants that turned up significantly more often in people who became severely ill.
Their analyses uncovered a number of gene variants associated with SARS-CoV-2 infection or severe COVID-19 in 13 regions of the human genome, six of which were new. Four of the 13 affect a person’s risk for becoming infected with SARS-CoV-2. The other nine influence a person’s risk for developing severe illness following the infection.
Interestingly, some of these gene variants already were known to have associations with other types of lung or autoimmune diseases. The new findings also help to confirm previous studies suggesting that the gene that determines a person’s blood type may influence a person’s susceptibility to SARS-CoV-2 infection, along with other genes that play a role in immunity. For example, the findings show overlap with variants within a gene called TYK2, which was earlier shown to protect against autoimmune-related diseases. Some of the variants also point to the need for further work to study previously unexplored biological processes that may play potentially important roles in COVID-19.
Two of the new variants associated with disease severity were discovered only by including individuals with East Asian ancestry, highlighting the value of diversity in such analyses to gain a more comprehensive understanding of the biology. One of these newfound variants is close to a gene known as FOXP4, which is especially intriguing because this gene is known to play a role in the airways of the lung.
The researchers continue to look for more underlying clues into the biology of COVID-19. In fact, their latest unpublished analysis has increased the number of COVID-19 patients from about 50,000 to 125,000, making it possible to add another 10 gene variants to the list.
 Mapping the human genetic architecture of COVID-19. COVID-19 Host Genetics Initiative. Nature. 2021 Jul 8.
COVID-19 Research (NIH)
Posted on by Dr. Francis Collins
One of the many perplexing issues with COVID-19 is that it affects people so differently. That has researchers trying to explain why some folks bounce right back from the virus, or don’t even know they have it—while others become critically ill. Now, two NIH-funded studies suggest that one reason some otherwise healthy people become gravely ill may be previously unknown trouble spots in their immune systems, which hamper their ability to fight the virus.
According to the new findings in hundreds of racially diverse people with life-threatening COVID-19, a small percentage of people who suffer the most severe symptoms carry rare mutations in genes that disrupt their antiviral defenses. Another 10 percent with severe COVID-19 produce rogue “auto-antibodies,” which misguidedly disable a part of the immune system instead of attacking the virus.
Either way, the outcome is the same: the body has trouble fending off SARS-CoV-2, the novel coronavirus that causes COVID-19. The biological reason is there’s not enough of an assortment of signaling proteins, called type I interferons, that are crucial to detecting dangerous viruses like SARS-CoV-2 and sounding the alarm to prevent serious illness.
The research was led by Jean-Laurent Casanova, Howard Hughes Medical Institute and The Rockefeller University, New York; and the Imagine Institute, Necker Hospital, Paris. Casanova and his team began enrolling people with COVID-19 last February, with a particular interest in young adults battling severe illness. They were curious whether inherent weaknesses in their immune systems might explain their surprising vulnerability to the virus despite being otherwise young and healthy. Based on earlier findings in other infectious illnesses, they were especially interested in a set of 13 genes involved in interferon-driven immunity.
In their first study, published in the journal Science, researchers compared this set of genes in 659 patients with life-threatening COVID-19 to the same genes in 534 people with mild or asymptomatic COVID-19 . It turned out that 23, or 3.5 percent, of people with severe COVID-19 indeed carried rare mutations in genes involved in producing antiviral interferons. Those unusual aberrations never turned up in people with milder disease. The researchers went on to show in lab studies that those genetic errors leave human cells more vulnerable to SARS-CoV-2 infection.
The discovery was certainly intriguing, but given the rarity of those mutations, it doesn’t explain most instances of severe COVID-19. Still, it did give Casanova’s team another idea. Perhaps some other people who suffer from severe COVID-19 lack interferons too, but for different reasons. Perhaps their bodies were producing rogue antibodies that were crippling their own antiviral defenses.
In their second study, also in Science, that’s exactly what researchers found in 101 of 987 (over 10 percent) patients from around the world with life-threatening COVID-19 . In the bloodstreams of such individuals, they detected auto-antibodies against an assortment of interferon proteins. Those antibodies, which blocked the interferons’ antiviral activity, weren’t found in people with more mild cases of COVID-19.
Interestingly, the vast majority of patients with those harmful antibodies were men. The findings might help to explain the observation that men are at greater risk than women for developing severe COVID-19. The patients with auto-antibodies also were slightly older, with about half over the age of 65.
Many questions remain. For instance, it’s not yet clear what drives the production of those debilitating auto-antibodies. Might there be more mutations in antiviral defense-related genes that researchers have yet to discover? Is it possible that interferon treatment may help some people with severe COVID-19? Such treatment may be difficult in patients with auto-antibodies, although some clinical trials to explore this possibility already are underway.
The findings, if confirmed, have some potentially immediate implications. It’s possible that screening patients for the presence of damaging auto-antibodies might help to identify those at greater risk for progressing to severe disease. Treatments to remove those antibodies from the bloodstream or to boost antiviral defenses in other ways also may help. Ideally, it would be a good idea to make sure donated convalescent plasma now being tested in clinical trials as a treatment for severe COVID-19 doesn’t contain such disruptive auto-antibodies.
These new findings come from an international effort involving hundreds of scientists called the COVID Human Genetic Effort. Besides its ongoing efforts to understand severe COVID-19, Casanova says his team is also taking a look at the other side of the coin: how some people who’ve been exposed to severe COVID-19 in their own households manage to not get sick. A related international group called the COVID-19 Host Genetics Initiative is pursuing similar goals. Such insights will be invaluable as we continue to manage and treat COVID-19 patients in the future.
 Inborn errors of type I IFN immunity in patients with life-threatening COVID-19. Zhang Q, Bastard P, Liu Z, Le Pen J, Moncada-Velez M, Gorochov G, Béziat V, Jouanguy E, Sancho-Shimizu V, Rice CM, Abel L, Notarangelo LD, Cobat A, Su HC, Casanova JL et al. Science. 2020 Sep 24:eabd4570. [Published online ahead of print.]
 Auto-antibodies against type I IFNs in patients with life-threatening COVID-19. Bastard P, Rosen LB, Zhang Q, Michailidis E, Hoffmann HH, Gorochov G, Jouanguy E, Rice CM, Cobat A, Notarangelo LD, Abel L, Su HC, Casanova JL et al. Science. 2020 Sep 24:eabd4585. [Published online ahead of print.]
Coronavirus (COVID-19) (NIH)
Interferons (Alpha, Beta) (NIH)
Interferons. Taylor MW. Viruses and Men: A History of Interactions. 2014 July 22. (Pubmed)
Video: Understanding the underlying genetics of COVID-19, Jean-Laurent Casanova (Youtube)
Jean-Laurent Casanova (The Rockefeller University, New York)
NIH Support: National Institute of Allergy and Infectious Diseases
Posted on by Dr. Francis Collins
Millions of people take medications each day for epilepsy, a diverse group of disorders characterized by seizures. But, for about a third of people with epilepsy, current drug treatments don’t work very well. What’s more, the medications are designed to treat symptoms of these disorders, basically by suppressing seizure activity. The medications don’t really change the underlying causes, which are wired deep within the brain.
Gemma Carvill, a researcher at Northwestern University Feinberg School of Medicine, Chicago, wants to help change that in the years ahead. She’s dedicated her research career to discovering the genetic causes of epilepsy in hopes of one day designing treatments that can control or even cure some forms of the disorder .
It certainly won’t be easy. A recent paper put the number of known genes associated with epilepsy at close to 1,000 . However, because some disease-causing genetic variants may arise during development, and therefore occur only within the brain, it’s possible that additional genetic causes of epilepsy are still waiting to be discovered within the billions of cells and their trillions of interconnections.
To find these new leads, Carvill won’t have to rely only on biopsies of brain tissue. She’s received a 2018 NIH Director’s New Innovator Award in search of answers hidden within “liquid biopsies”—tiny fragments of DNA that research in other forms of brain injury and neurological disease  suggests may spill into the bloodstream and cerebrospinal fluid (CSF) from dying neurons or other brain cells following a seizure.
Carvill and team will start with mouse models of epilepsy to test whether it’s possible to detect DNA fragments from the brain in bodily fluids after a seizure. They’ll also attempt to show DNA fragments carry telltale signatures indicating from which cells and tissues in the brain those molecules originate. The hope is these initial studies will also tell them the best time after a seizure to collect blood samples.
In people, Carvill’s team will collect the DNA fragments and begin searching for genetic alterations to explain the seizures, capitalizing on Carvill’s considerable expertise in the use of next generation DNA sequencing technology for ferreting out disease-causing variants. Importantly, if this innovative work in epilepsy pans out, it also can be applied to any other neurological condition in which DNA spills from dying brain cells, including Alzheimer’s disease and Parkinson’s disease.
 Unravelling the genetic architecture of autosomal recessive epilepsy in the genomic era. Calhoun JD, Carvill GL. J Neurogenet. 2018 Sep 24:1-18.
 Epilepsy-associated genes. Wang J, Lin ZJ, Liu L, Xu HQ, Shi YW, Yi YH, He N, Liao WP. Seizure. 2017 Jan;44:11-20.
 Identification of tissue-specific cell death using methylation patterns of circulating DNA. Lehmann-Werman R, Neiman D, Zemmour H, Moss J, Magenheim J, Vaknin-Dembinsky A, Rubertsson S, Nellgård B, Blennow K, Zetterberg H, Spalding K, Haller MJ, Wasserfall CH, Schatz DA, Greenbaum CJ, Dorrell C, Grompe M, Zick A, Hubert A, Maoz M, Fendrich V, Bartsch DK, Golan T, Ben Sasson SA, Zamir G, Razin A, Cedar H, Shapiro AM, Glaser B, Shemer R, Dor Y. Proc Natl Acad Sci U S A. 2016 Mar 29;113(13):E1826-34.
Epilepsy Information Page (National Institute of Neurological Disorders and Stroke/NIH)
Gemma Carvill Lab (Northwestern University Feinberg School of Medicine, Chicago)
Carvill Project Information (NIH RePORTER)
NIH Director’s New Innovator Award (Common Fund)
NIH Support: Common Fund; National Institute of Neurological Disorders and Stroke
Posted on by Dr. Francis Collins
Predicting whether someone will get Alzheimer’s disease (AD) late in life, and how to use that information for prevention, has been an intense focus of biomedical research. The goal of this work is to learn not only about the genes involved in AD, but how they work together and with other complex biological, environmental, and lifestyle factors to drive this devastating neurological disease.
It’s good news to be able to report that an international team of researchers, partly funded by NIH, has made more progress in explaining the genetic component of AD. Their analysis, involving data from more than 35,000 individuals with late-onset AD, has identified variants in five new genes that put people at greater risk of AD . It also points to molecular pathways involved in AD as possible avenues for prevention, and offers further confirmation of 20 other genes that had been implicated previously in AD.
The results of this largest-ever genomic study of AD suggests key roles for genes involved in the processing of beta-amyloid peptides, which form plaques in the brain recognized as an important early indicator of AD. They also offer the first evidence for a genetic link to proteins that bind tau, the protein responsible for telltale tangles in the AD brain that track closely with a person’s cognitive decline.
The new findings are the latest from the International Genomics of Alzheimer’s Project (IGAP) consortium, led by a large, collaborative team including Brian Kunkle and Margaret Pericak-Vance, University of Miami Miller School of Medicine, Miami, FL. The effort, spanning four consortia focused on AD in the United States and Europe, was launched in 2011 with the aim of discovering and mapping all the genes that contribute to AD.
An earlier IGAP study including about 25,500 people with late-onset AD identified 20 common gene variants that influence a person’s risk for developing AD late in life . While that was terrific progress to be sure, the analysis also showed that those gene variants could explain only a third of the genetic component of AD. It was clear more genes with ties to AD were yet to be found.
So, in the study reported in Nature Genetics, the researchers expanded the search. While so-called genome-wide association studies (GWAS) are generally useful in identifying gene variants that turn up often in association with particular diseases or other traits, the ones that arise more rarely require much larger sample sizes to find.
To increase their odds of finding additional variants, the researchers analyzed genomic data for more than 94,000 individuals, including more than 35,000 with a diagnosis of late-onset AD and another 60,000 older people without AD. Their search led them to variants in five additional genes, named IQCK, ACE, ADAM10, ADAMTS1, and WWOX, associated with late-onset AD that hadn’t turned up in the previous study.
Further analysis of those genes supports a view of AD in which groups of genes work together to influence risk and disease progression. In addition to some genes influencing the processing of beta-amyloid peptides and accumulation of tau proteins, others appear to contribute to AD via certain aspects of the immune system and lipid metabolism.
Each of these newly discovered variants contributes only a small amount of increased risk, and therefore probably have limited value in predicting an average person’s risk of developing AD later in life. But they are invaluable when it comes to advancing our understanding of AD’s biological underpinnings and pointing the way to potentially new treatment approaches. For instance, these new data highlight intriguing similarities between early-onset and late-onset AD, suggesting that treatments developed for people with the early-onset form also might prove beneficial for people with the more common late-onset disease.
It’s worth noting that the new findings continue to suggest that the search is not yet over—many more as-yet undiscovered rare variants likely play a role in AD. The search for answers to AD and so many other complex health conditions—assisted through collaborative data sharing efforts such as this one—continues at an accelerating pace.
 Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing. Kunkle BW, Grenier-Boley B, Sims R, Bis JC, et. al. Nat Genet. 2019 Mar;51(3):414-430.
 Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer’s disease. Lambert JC, Ibrahim-Verbaas CA, Harold D, Naj AC, Sims R, Bellenguez C, DeStafano AL, Bis JC, et al. Nat Genet. 2013 Dec;45(12):1452-8.
Alzheimer’s Disease Genetics Fact Sheet (National Institute on Aging/NIH)
Margaret Pericak-Vance (University of Miami Health System, FL)
NIH Support: National Institute on Aging; National Heart, Lung, and Blood Institute; National Human Genome Research Institute; National Institute of Allergy and Infectious Diseases; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Disease; National Institute of Neurological Disorders and Stroke
Posted on by Dr. Francis Collins
Researchers have learned in recent years how to grow miniature human hearts in a dish. These “organoids” beat like the real thing and have allowed researchers to model many key aspects of how the heart works. What’s been really tough to model in a dish is how stresses on hearts that are genetically abnormal, such as in inherited familial cardiomyopathies, put people at greater risk for cardiac problems.
Enter the lab-grown human cardiac tissue pictured above. This healthy tissue comprised of the heart’s muscle cells, or cardiomyocytes (green, nuclei in red), was derived from induced pluripotent stem (iPS) cells. These cells are derived from adult skin or blood cells that are genetically reprogrammed to have the potential to develop into many different types of cells, including cardiomyocytes.