
Analysis of rare genetic variation underlying cardiometabolic diseases and traits among 200,000 individuals in the UK Biobank
Author(s) -
Sean J. Jurgens,
Seung Hoan Choi,
Valerie N. Morrill,
Mark Chaffin,
James P. Pirruccello,
Jennifer L Halford,
Lu-Chen Weng,
Victor Nauffal,
Carolina Roselli,
Amelia Weber Hall,
Matthew T. Oetjens,
Braxton Lagerman,
David P. vanMaanen,
AUTHOR_ID,
Krishna Aragam,
Kathryn L. Lunetta,
Christopher M. Haggerty,
Steven A. Lubitz,
Patrick T. Ellinor
Publication year - 2022
Publication title -
nature genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 18.861
H-Index - 573
eISSN - 1546-1718
pISSN - 1061-4036
DOI - 10.1038/s41588-021-01011-w
Subject(s) - biobank , biology , type 2 diabetes , mendelian inheritance , genetics , exome sequencing , disease , genetic architecture , genome wide association study , genetic association , exome , atherosclerotic cardiovascular disease , gene , bioinformatics , quantitative trait locus , diabetes mellitus , mutation , single nucleotide polymorphism , medicine , genotype , endocrinology
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.