Quantitative and Qualitative Role of Antagonistic Heterogeneity in Genetics of Blood Lipids.


Journal

The journals of gerontology. Series A, Biological sciences and medical sciences
ISSN: 1758-535X
Titre abrégé: J Gerontol A Biol Sci Med Sci
Pays: United States
ID NLM: 9502837

Informations de publication

Date de publication:
25 09 2020
Historique:
received: 14 06 2019
pubmed: 1 10 2019
medline: 17 2 2021
entrez: 1 10 2019
Statut: ppublish

Résumé

Prevailing strategies in genome-wide association studies (GWAS) mostly rely on principles of medical genetics emphasizing one gene, one function, one phenotype concept. Here, we performed GWAS of blood lipids leveraging a new systemic concept emphasizing complexity of genetic predisposition to such phenotypes. We focused on total cholesterol, low- and high-density lipoprotein cholesterols, and triglycerides available for 29,902 individuals of European ancestry from seven independent studies, men and women combined. To implement the new concept, we leveraged the inherent heterogeneity in genetic predisposition to such complex phenotypes and emphasized a new counter intuitive phenomenon of antagonistic genetic heterogeneity, which is characterized by misalignment of the directions of genetic effects and the phenotype correlation. This analysis identified 37 loci associated with blood lipids but only one locus, FBXO33, was not reported in previous top GWAS. We, however, found strong effect of antagonistic heterogeneity that leaded to profound (quantitative and qualitative) changes in the associations with blood lipids in most, 25 of 37 or 68%, loci. These changes suggested new roles for some genes, which functions were considered as well established such as GCKR, SIK3 (APOA1 locus), LIPC, LIPG, among the others. The antagonistic heterogeneity highlighted a new class of genetic associations emphasizing beneficial and adverse trade-offs in predisposition to lipids. Our results argue that rigorous analyses dissecting heterogeneity in genetic predisposition to complex traits such as lipids beyond those implemented in current GWAS are required to facilitate translation of genetic discoveries into health care.

Identifiants

pubmed: 31566214
pii: 5577152
doi: 10.1093/gerona/glz225
pmc: PMC7518561
doi:

Substances chimiques

Cholesterol, HDL 0
Cholesterol, LDL 0
F-Box Proteins 0
Genetic Markers 0
Lipids 0
Triglycerides 0
Cholesterol 97C5T2UQ7J

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

1811-1819

Subventions

Organisme : NIA NIH HHS
ID : P01 AG043352
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG047310
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG061853
Pays : United States

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Alexander M Kulminski (AM)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.

Yury Loika (Y)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.

Alireza Nazarian (A)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.

Irina Culminskaya (I)

Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina.

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Classifications MeSH