Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes.
Alleles
Blood Glucose
/ genetics
Case-Control Studies
Computational Biology
/ methods
Databases, Genetic
Diabetes Mellitus, Type 2
/ genetics
Exome
Genetic Predisposition to Disease
Genetic Variation
Genetics, Population
Genome-Wide Association Study
/ methods
Humans
Lipid Metabolism
/ genetics
Lipids
/ blood
Liver
/ metabolism
Molecular Sequence Annotation
Multifactorial Inheritance
Open Reading Frames
Phenotype
Polymorphism, Single Nucleotide
association
cholesterol
exome sequencing
gene-based association
lipid
Journal
American journal of human genetics
ISSN: 1537-6605
Titre abrégé: Am J Hum Genet
Pays: United States
ID NLM: 0370475
Informations de publication
Date de publication:
06 01 2022
06 01 2022
Historique:
received:
18
08
2021
accepted:
21
11
2021
pubmed:
22
12
2021
medline:
15
2
2022
entrez:
21
12
2021
Statut:
ppublish
Résumé
Large-scale gene sequencing studies for complex traits have the potential to identify causal genes with therapeutic implications. We performed gene-based association testing of blood lipid levels with rare (minor allele frequency < 1%) predicted damaging coding variation by using sequence data from >170,000 individuals from multiple ancestries: 97,493 European, 30,025 South Asian, 16,507 African, 16,440 Hispanic/Latino, 10,420 East Asian, and 1,182 Samoan. We identified 35 genes associated with circulating lipid levels; some of these genes have not been previously associated with lipid levels when using rare coding variation from population-based samples. We prioritize 32 genes in array-based genome-wide association study (GWAS) loci based on aggregations of rare coding variants; three (EVI5, SH2B3, and PLIN1) had no prior association of rare coding variants with lipid levels. Most of our associated genes showed evidence of association among multiple ancestries. Finally, we observed an enrichment of gene-based associations for low-density lipoprotein cholesterol drug target genes and for genes closest to GWAS index single-nucleotide polymorphisms (SNPs). Our results demonstrate that gene-based associations can be beneficial for drug target development and provide evidence that the gene closest to the array-based GWAS index SNP is often the functional gene for blood lipid levels.
Identifiants
pubmed: 34932938
pii: S0002-9297(21)00452-3
doi: 10.1016/j.ajhg.2021.11.021
pmc: PMC8764201
pii:
doi:
Substances chimiques
Blood Glucose
0
Lipids
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
81-96Subventions
Organisme : NIDDK NIH HHS
ID : R01 DK093757
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK127636
Pays : United States
Organisme : British Heart Foundation
ID : RG/13/13/30194
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : K23 DK114551
Pays : United States
Organisme : NHLBI NIH HHS
ID : P01 HL045522
Pays : United States
Organisme : NIDDK NIH HHS
ID : U01 DK062370
Pays : United States
Organisme : NIDDK NIH HHS
ID : UM1 DK078616
Pays : United States
Organisme : British Heart Foundation
ID : CH/12/2/29428
Pays : United Kingdom
Organisme : NIDDK NIH HHS
ID : R01 DK125490
Pays : United States
Organisme : British Heart Foundation
ID : RG/18/10/33842
Pays : United Kingdom
Organisme : NHLBI NIH HHS
ID : R01 HL113323
Pays : United States
Organisme : NIDDK NIH HHS
ID : R03 DK131249
Pays : United States
Organisme : British Heart Foundation
ID : CS/14/2/30841
Pays : United Kingdom
Organisme : NIA NIH HHS
ID : R01 AG058921
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL153805
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK072193
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK079626
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL127564
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK062370
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL105756
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL142711
Pays : United States
Organisme : NHLBI NIH HHS
ID : R35 HL135818
Pays : United States
Organisme : NIDDK NIH HHS
ID : P30 DK020572
Pays : United States
Organisme : NHLBI NIH HHS
ID : R03 HL154284
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL140681
Pays : United States
Organisme : British Heart Foundation
ID : RG/18/13/33946
Pays : United Kingdom
Organisme : NHGRI NIH HHS
ID : K08 HG010155
Pays : United States
Organisme : NHLBI NIH HHS
ID : K01 HL135405
Pays : United States
Informations de copyright
Copyright © 2021 American Society of Human Genetics. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests The authors declare no competing interests for the present work. P.N. reports investigator-initiated grants from Amgen, Apple, and Boston Scientific; is a scientific advisor to Apple, Blackstone Life Sciences, and Novartis; and has spousal employment at Vertex, all unrelated to the present work. A.V.K. has served as a scientific advisor to Sanofi, Medicines Company, Maze Pharmaceuticals, Navitor Pharmaceuticals, Verve Therapeutics, Amgen, and Color; received speaking fees from Illumina, MedGenome, Amgen, and the Novartis Institute for Biomedical Research; received sponsored research agreements from the Novartis Institute for Biomedical Research and IBM Research; and reports a patent related to a genetic risk predictor (20190017119). C.J.W.’s spouse is employed at Regeneron. L.E.S. is currently an employee of Celgene/Bristol Myers Squibb. Celgene/Bristol Myers Squibb had no role in the funding, design, conduct, and interpretation of this study. M.E.M. receives funding from Regeneron unrelated to this work. E.E.K. has received speaker honoraria from Illumina, Inc and Regeneron Pharmaceuticals. B.M.P. serves on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. L.A.C. has consulted with the Dyslipidemia Foundation on lipid projects in the Framingham Heart Study. P.T.E. is supported by a grant from Bayer AG to the Broad Institute focused on the genetics and therapeutics of cardiovascular disease. P.T.E. has consulted for Bayer AG, Novartis, MyoKardia, and Quest Diagnostics. S.A.L. receives sponsored research support from Bristol Myers Squibb/Pfizer, Bayer AG, Boehringer Ingelheim, Fitbit, and IBM and has consulted for Bristol Myers Squibb/Pfizer, Bayer AG, and Blackstone Life Sciences. The views expressed in this article are those of the author(s) and not necessarily those of the NHS, the NIHR, or the Department of Health. M.I.M. has served on advisory panels for Pfizer, NovoNordisk, and Zoe Global and has received honoraria from Merck, Pfizer, Novo Nordisk, and Eli Lilly and research funding from Abbvie, Astra Zeneca, Boehringer Ingelheim, Eli Lilly, Janssen, Merck, NovoNordisk, Pfizer, Roche, Sanofi Aventis, Servier, and Takeda. As of June 2019, M.I.M. is an employee of Genentech and a holder of Roche stock. M.E.J. holds shares in Novo Nordisk A/S. H.M.K. is an employee of Regeneron Pharmaceuticals; he owns stock and stock options for Regeneron Pharmaceuticals. M.E.J. has received research grants form Astra Zeneca, Boehringer Ingelheim, Amgen, and Sanofi. S.K. is founder of Verve Therapeutics.
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