Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here, we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participa...
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Published in | Nature genetics Vol. 54; no. 3; pp. 240 - 250 |
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Main Authors | , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.03.2022
|
Subjects | |
Online Access | Get full text |
ISSN | 1061-4036 1546-1718 1546-1718 |
DOI | 10.1038/s41588-021-01011-w |
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Summary: | Cardiometabolic diseases are the leading cause of death worldwide. Despite a known genetic component, our understanding of these diseases remains incomplete. Here, we analyzed the contribution of rare variants to 57 diseases and 26 cardiometabolic traits, using data from 200,337 UK Biobank participants with whole-exome sequencing. We identified 57 gene-based associations, with broad replication of novel signals in Geisinger MyCode. There was a striking risk associated with mutations in known Mendelian disease genes, including
MYBPC3
,
LDLR
,
GCK
,
PKD1
and
TTN
. Many genes showed independent convergence of rare and common variant evidence, including an association between
GIGYF1
and type 2 diabetes. We identified several large effect associations for height and 18 unique genes associated with blood lipid or glucose levels. Finally, we found that between 1.0% and 2.4% of participants carried rare potentially pathogenic variants for cardiometabolic disorders. These findings may facilitate studies aimed at therapeutics and screening of these common disorders.
Analysis of whole-exome sequencing data from over 200,000 individuals in the UK Biobank provides new insights into the contribution of rare variants to cardiometabolic diseases and traits. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 These authors contributed equally to this work. These authors jointly supervised this work. Author Contributions Statement S.J.J., S.H.C., S.A.L. and P.T.E. conceived and designed the study. S.J.J., S.H.C., V.N.M., M.C., J.P.P and J.L.H. performed data curation and data processing, for data other than the MyCode dataset. S.J.J., S.H.C. and V.N.M. performed statistical analyses, for data other than the MyCode dataset. M.T.O., B.L., D.P.v.M. and C.M.H. performed data curation, data processing and statistical analyses in the MyCode dataset. S.J.J., S.H.C. and M.C. performed data visualization. K.G.A., K.L.L., S.A.L. and P.T.E. supervised the overall study. S.J.J., S.H.C. and P.T.E. drafted the manuscript. L.-C.W., V.N., C.R. and A.W.H. contributed critically to the analysis plan and revisions of the manuscript. All authors critically revised and approved the manuscript. Contributions from consortium members from the Regeneron Genetics Center are provided in the Supplementary Note. A list of consortium authors and their affiliations appear at the end of the paper. |
ISSN: | 1061-4036 1546-1718 1546-1718 |
DOI: | 10.1038/s41588-021-01011-w |