Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits
Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU, combining alcohol use diso...
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Published in | NATURE NEUROSCIENCE Vol. 23; no. 7; pp. 809 - 818 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Publication |
Language | English |
Published |
New York
Nature Publishing Group US
01.07.2020
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1097-6256 1546-1726 1546-1726 |
DOI | 10.1038/s41593-020-0643-5 |
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Summary: | Problematic alcohol use (PAU) is a leading cause of death and disability worldwide. Although genome-wide association studies have identified PAU risk genes, the genetic architecture of this trait is not fully understood. We conducted a proxy-phenotype meta-analysis of PAU, combining alcohol use disorder and problematic drinking, in 435,563 European-ancestry individuals. We identified 29 independent risk variants, 19 of them novel. PAU was genetically correlated with 138 phenotypes, including substance use and psychiatric traits. Phenome-wide polygenic risk score analysis in an independent biobank sample (BioVU,
n
= 67,589) confirmed the genetic correlations between PAU and substance use and psychiatric disorders. Genetic heritability of PAU was enriched in brain and in conserved and regulatory genomic regions. Mendelian randomization suggested causal effects on liability to PAU of substance use, psychiatric status, risk-taking behavior and cognitive performance. In summary, this large PAU meta-analysis identified novel risk loci and revealed genetic relationships with numerous other traits.
A genetic study of problematic alcohol use in 435,563 individuals, including data from the Million Veteran Program, Psychiatric Genomics Consortium and UK Biobank, found many novel risk loci and provided new insights into trait biology. |
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Bibliography: | ObjectType-Article-2 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Feature-3 ObjectType-Evidence Based Healthcare-1 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 Author Contributions: H.Z., J.G., H.R.K., and A.A.P. conceived analyses; H.Z. and J.G. wrote the first draft and prepared all drafts for submission; JG supervised and HZ accomplished primary analyses; J.M.S., S.S.R., T.K.C., D.F.L., Z.C., B.L., and A.M. conducted additional analyses; J.G., H.R.K., A.A.P., L.K.D., H.J.E., and A.A. supervised additional analyses; J.M.S., S.S.R., T.K.C., A.A.P., A.M., and L.K.D. prepared individual datasets and provided summary statistics or results; R.P., R.L.K., R.V.S., J.H.T., M.Y.M., S.R.A., M.R.T., M.N., M.M., A.D.B., E.C.J., A.C.J., A.M., L.K.D., and H.R.K. provided critical support regarding phenotypes and data in individual datasets; J.G., A.C.J., and H.R.K. provided resource support. All authors reviewed the manuscript and approved it for submission. |
ISSN: | 1097-6256 1546-1726 1546-1726 |
DOI: | 10.1038/s41593-020-0643-5 |