TY - JOUR
T1 - Microbiome-associated human genetic variants impact phenome-wide disease risk
AU - Markowitz, Robert H.George
AU - LaBella, Abigail Leavitt
AU - Shi, Mingjian
AU - Rokas, Antonis
AU - Capra, John A.
AU - Ferguson, Jane F.
AU - Mosley, Jonathan D.
AU - Bordenstein, Seth R.
N1 - Publisher Copyright:
Copyright © 2022 the Author(s).
PY - 2022/6/28
Y1 - 2022/6/28
N2 - Human genetic variation associates with the composition of the gut microbiome, yet its influence on clinical traits remains largely unknown. We analyzed the consequences of nearly a thousand gut microbiome-associated variants (MAVs) on phenotypes reported in electronic health records from tens of thousands of individuals. We discovered and replicated associations of MAVs with neurological, metabolic, digestive, and circulatory diseases. Five significant MAVs in these categories correlate with the relative abundance of microbes down to the strain level. We also demonstrate that these relationships are independently observed and concordant with microbe by disease associations reported in case-control studies. Moreover, a selective sweep and population differentiation impacted some disease-linked MAVs. Combined, these findings establish triad relationships among the human genome, microbiome, and disease. Consequently, human genetic influences may offer opportunities for precision diagnostics of microbiomeassociated diseases but also highlight the relevance of genetic background for microbiome modulation and therapeutics.
AB - Human genetic variation associates with the composition of the gut microbiome, yet its influence on clinical traits remains largely unknown. We analyzed the consequences of nearly a thousand gut microbiome-associated variants (MAVs) on phenotypes reported in electronic health records from tens of thousands of individuals. We discovered and replicated associations of MAVs with neurological, metabolic, digestive, and circulatory diseases. Five significant MAVs in these categories correlate with the relative abundance of microbes down to the strain level. We also demonstrate that these relationships are independently observed and concordant with microbe by disease associations reported in case-control studies. Moreover, a selective sweep and population differentiation impacted some disease-linked MAVs. Combined, these findings establish triad relationships among the human genome, microbiome, and disease. Consequently, human genetic influences may offer opportunities for precision diagnostics of microbiomeassociated diseases but also highlight the relevance of genetic background for microbiome modulation and therapeutics.
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U2 - 10.1073/pnas.2200551119
DO - 10.1073/pnas.2200551119
M3 - Article
C2 - 35749358
AN - SCOPUS:85133102138
SN - 0027-8424
VL - 119
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
IS - 26
M1 - e2200551119
ER -