A new study aimed at explaining differential susceptibility to viral epidemics reveals that ancestry and associated genetic variation can explain population-level differences in the immune response to the flu virus and perhaps also to COVID-19.
Viruses are among the strongest sources of selection pressure in human evolution. However, before the modern era, widespread pandemics were likely rare. Instead, virus outbreaks were confined to regional populations. Thus, if past viral epidemics were geographically contained, they may have driven population divergence in responses to viral infection in pockets. While ancestry has been associated with differences in the responses to viruses, the molecular determinants of these variations remain unclear.
Here, to quantify variation in the response to influenza infection, researchers at the University of Chicago and the University of Minnesota used single-cell RNA sequencing of peripheral blood mononuclear cells infected with influenza A virus in vitro from individuals of European and African genetic ancestry. Infection led to gene signatures that diverged in a cell-type specific manner, correlated with ancestry. One clear exception they found to the overall pattern of genetic ancestry’s effects on immune response being cell-type specific was in the interferon (IFN) response following infection. Across all cell types, increased European ancestry was associated with a stronger type I IFN response shortly after influenza infection, which in turn predicted reduced virus levels at later time points.

“Given the central role played by IFNs in conferring antiviral activity to host cells, our findings have potential clinical implications not only for influenza infection but also for other viruses, including SARS-CoV-2, for which the timing and magnitude of IFN-mediated antiviral responses are associated with disease progression and severity,” say the authors.
The study also showed that genes differentially expressed based on genetic ancestry are involved in responses to other single-stranded RNA viruses, including SARS-CoV-2 – a finding that could contribute to the observed differences between COVID-19 susceptibility between African Americans and European Americans.
Source – American Association for the Advancement of Science (AAAS)
Randolph HE, Fiege JK, Thielen BK, Mickelson CK, Shiratori M, Barroso-Batista J, Langlois RA, Barreiro LB. (2021) Genetic ancestry effects on the response to viral infection are pervasive but cell type specific. Science 374(6571):1127-1133. [abstract]
A new study aimed at explaining differential susceptibility to viral epidemics reveals that ancestry and associated genetic variation can explain population-level differences in the immune response to the flu virus and perhaps also to COVID-19.
Viruses are among the strongest sources of selection pressure in human evolution. However, before the modern era, widespread pandemics were likely rare. Instead, virus outbreaks were confined to regional populations. Thus, if past viral epidemics were geographically contained, they may have driven population divergence in responses to viral infection in pockets. While ancestry has been associated with differences in the responses to viruses, the molecular determinants of these variations remain unclear.
Here, to quantify variation in the response to influenza infection, researchers at the University of Chicago and the University of Minnesota used single-cell RNA sequencing of peripheral blood mononuclear cells infected with influenza A virus in vitro from individuals of European and African genetic ancestry. Infection led to gene signatures that diverged in a cell-type specific manner, correlated with ancestry. One clear exception they found to the overall pattern of genetic ancestry’s effects on immune response being cell-type specific was in the interferon (IFN) response following infection. Across all cell types, increased European ancestry was associated with a stronger type I IFN response shortly after influenza infection, which in turn predicted reduced virus levels at later time points.
The study also showed that genes differentially expressed based on genetic ancestry are involved in responses to other single-stranded RNA viruses, including SARS-CoV-2 – a finding that could contribute to the observed differences between COVID-19 susceptibility between African Americans and European Americans.
Source – American Association for the Advancement of Science (AAAS)
Randolph HE, Fiege JK, Thielen BK, Mickelson CK, Shiratori M, Barroso-Batista J, Langlois RA, Barreiro LB. (2021) Genetic ancestry effects on the response to viral infection are pervasive but cell type specific. Science 374(6571):1127-1133. [abstract]
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A new study aimed at explaining differential susceptibility to viral epidemics reveals that ancestry and associated genetic variation can explain population-level differences in the immune response to the flu virus and perhaps also to COVID-19.
Viruses are among the strongest sources of selection pressure in human evolution. However, before the modern era, widespread pandemics were likely rare. Instead, virus outbreaks were confined to regional populations. Thus, if past viral epidemics were geographically contained, they may have driven population divergence in responses to viral infection in pockets. While ancestry has been associated with differences in the responses to viruses, the molecular determinants of these variations remain unclear.
Here, to quantify variation in the response to influenza infection, researchers at the University of Chicago and the University of Minnesota used single-cell RNA sequencing of peripheral blood mononuclear cells infected with influenza A virus in vitro from individuals of European and African genetic ancestry. Infection led to gene signatures that diverged in a cell-type specific manner, correlated with ancestry. One clear exception they found to the overall pattern of genetic ancestry’s effects on immune response being cell-type specific was in the interferon (IFN) response following infection. Across all cell types, increased European ancestry was associated with a stronger type I IFN response shortly after influenza infection, which in turn predicted reduced virus levels at later time points.
The study also showed that genes differentially expressed based on genetic ancestry are involved in responses to other single-stranded RNA viruses, including SARS-CoV-2 – a finding that could contribute to the observed differences between COVID-19 susceptibility between African Americans and European Americans.
Source – American Association for the Advancement of Science (AAAS)
Randolph HE, Fiege JK, Thielen BK, Mickelson CK, Shiratori M, Barroso-Batista J, Langlois RA, Barreiro LB. (2021) Genetic ancestry effects on the response to viral infection are pervasive but cell type specific. Science 374(6571):1127-1133. [abstract]
Related Posts
Benchmarking RNA sequencing for more accurate alternative splicing analysis
RNA Sequencing identifies new tick-borne virus that causes flu-like illness
Small RNA sequencing reveals regulatory roles for sdRNAs in acute myeloid leukemia
POND-seq enables non-destructive RNA sequencing in living cells
Worm’s radical transformation shows metamorphosis can change the functions of cells
New method allows scientists to follow gene activity over time in the same cells
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
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