Publication

Joint Influence of SNPs and DNA Methylation on Lipids in African Americans From Hypertensive Sibships

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Last modified
  • 05/15/2025
Type of Material
Authors
    Michelle L. Wright, Emory UniversityErin B. Ware, University of MichiganJennifer A. Smith, University of MichiganSharon L. R. Kardia, University of MichiganJacquelyn Y. Taylor, New York University
Language
  • English
Date
  • 2018-03-01
Publisher
  • SAGE Publications (UK and US)
Publication Version
Copyright Statement
  • © The Author(s) 2018.
Final Published Version (URL)
Title of Journal or Parent Work
ISSN
  • 1099-8004
Volume
  • 20
Issue
  • 2
Start Page
  • 161
End Page
  • 167
Grant/Funding Information
  • The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Support for the Genetic Epidemiology Network of Arteriopathy (GENOA) was provided by the National Heart, Lung and Blood Institute (HL054457, HL100185, HL 087660, HL119443, and HL133221); additional support for this project was provided by the National Institute of Nursing Research (NINR), R01NR013520.
Supplemental Material (URL)
Abstract
  • Introduction: Plasma concentrations of lipids (i.e., total cholesterol, high-density cholesterol, low-density cholesterol, and triglycerides) are amenable to therapeutic intervention and remain important factors for assessing risk of cardiovascular diseases. Some of the observed variability in serum lipid concentrations has been associated with genetic and epigenetic variants among cohorts with European ancestry (EA). Serum lipid levels have also been associated with genetic variants in multiethnic populations. Methods: The purpose of this study was to determine whether single-nucleotide polymorphisms (SNPs) and DNA methylation (DNAm) differences contribute to lipid variation among African Americans ([AAs], N = 739) in the Genetic Epidemiology Network of Arteriopathy (GENOA) study. Results: Previous meta-analyses identified 161 SNPs that are associated with lipid traits in populations of EA. We evaluated these SNPs and 66 DNAm sites within the genes containing the SNPs in the GENOA cohort using linear mixed-effects modeling. We did not identify any significant associations of SNPs or DNAm with serum lipid levels. These results suggest that the SNPs identified as being significant for lipid levels through the EA genome-wide association studies may not be significant across AA populations. Conclusions: Reductions in morbidity and mortality due to variation in lipids among AAs may be achieved through a better understanding of the genetic and epigenetic factors associated with serum lipid levels for early and appropriate screening. Further large-scale studies specifically within AA and other non-EA populations are warranted.
Author Notes
  • Corresponding Author: Jacquelyn Y. Taylor, PhD, PNP-BC, RN, FAHA, FAAN, Rory Meyers College of Nursing, New York University, 433 1st Avenue, New York, NY 10010, USA. jacquelyn.taylor@yale.edu.
Keywords
Research Categories
  • Biology, Genetics
  • Health Sciences, Public Health

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