A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts

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作者
Yogasudha Veturi
Anastasia Lucas
Yuki Bradford
Daniel Hui
Scott Dudek
Elizabeth Theusch
Anurag Verma
Jason E. Miller
Iftikhar Kullo
Hakon Hakonarson
Patrick Sleiman
Daniel Schaid
Charles M. Stein
Digna R. Velez Edwards
QiPing Feng
Wei-Qi Wei
Marisa W. Medina
Ronald M. Krauss
Thomas J. Hoffmann
Neil Risch
Benjamin F. Voight
Daniel J. Rader
Marylyn D. Ritchie
机构
[1] University of Pennsylvania,Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine
[2] University of California,Department of Pediatrics
[3] San Francisco,Division of Cardiovascular Diseases
[4] Mayo Clinic,Department of Health Sciences Research
[5] Center for Applied Genomics,Division of Clinical Pharmacology, Department of Medicine
[6] Children’s Hospital of Philadelphia,Department of Biomedical Informatics in School of Medicine
[7] Mayo Clinic,Vanderbilt Genetics Institute
[8] Vanderbilt University Medical Center,Division of Quantitative Science, Department of Obstetrics and Gynecology
[9] Vanderbilt University,Institute for Human Genetics, and Department of Epidemiology & Biostatistics
[10] Vanderbilt University,Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine
[11] Vanderbilt University Medical Center,Institute of Translational Medicine and Therapeutics, Perelman School of Medicine
[12] University of California,undefined
[13] San Francisco,undefined
[14] University of Pennsylvania,undefined
[15] University of Pennsylvania,undefined
来源
Nature Genetics | 2021年 / 53卷
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摘要
Plasma lipids are known heritable risk factors for cardiovascular disease, but increasing evidence also supports shared genetics with diseases of other organ systems. We devised a comprehensive three-phase framework to identify new lipid-associated genes and study the relationships among lipids, genotypes, gene expression and hundreds of complex human diseases from the Electronic Medical Records and Genomics (347 traits) and the UK Biobank (549 traits). Aside from 67 new lipid-associated genes with strong replication, we found evidence for pleiotropic SNPs/genes between lipids and diseases across the phenome. These include discordant pleiotropy in the HLA region between lipids and multiple sclerosis and putative causal paths between triglycerides and gout, among several others. Our findings give insights into the genetic basis of the relationship between plasma lipids and diseases on a phenome-wide scale and can provide context for future prevention and treatment strategies.
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页码:972 / 981
页数:9
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