Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the multi-ethnic study of atherosclerosis
Erin B. Ware, Bhramar Mukherjee, Yan V. Sun, Ana V. Diez-Roux, Sharon L. R. Kardia and Jennifer A. Smith
Published, Version of Record (VoR)CC BY V4.0, Open
Abstract
Genetics & Heredity Life Sciences & Biomedicine Science & Technology
Background: Time-varying phenotypes have been studied less frequently in the context of genome-wide analyses across ethnicities, particularly for mood disorders. This study uses genome-wide association studies of depressive symptoms in a longitudinal framework and across multiple ethnicities to find common variants for depressive symptoms. Ethnicity-specific GWAS for depressive symptoms were conducted using three approaches: a baseline measure, longitudinal measures averaged over time, and a repeated measures analysis. We then used meta-analysis to jointly analyze the results across ethnicities within the Multi-ethnic Study of Atherosclerosis (MESA, n = 6,335), and then within ethnicity, across MESA and a sample from the Health and Retirement Study African-and European-Americans (HRS, n = 10,163).
Methods: This study uses genome-wide association studies of depressive symptoms in a longitudinal framework and across multiple ethnicities to find common variants for depressive symptoms. Ethnicity-specific GWAS for depressive symptoms were conducted using three approaches: a baseline measure, longitudinal measures averaged over time, and a repeated measures analysis. We then used meta-analysis to jointly analyze the results across ethnicities within the Multi-ethnic Study of Atherosclerosis (MESA, n = 6,335), and then within ethnicity, across MESA and a sample from the Health and Retirement Study African-and European-Americans (HRS, n = 10,163).
Results: Several novel variants were identified at the genome-wide suggestive level (5x10(-8) < p-value = 5x10(-6)) in each ethnicity for each approach to analyzing depressive symptoms. The repeated measures analyses resulted in typically smaller p-values and an increase in the number of single-nucleotide polymorphisms (SNP) reaching genome-wide suggestive level.
Conclusions: For phenotypes that vary over time, the detection of genetic predictors may be enhanced by repeated measures analyses.
Comparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the multi-ethnic study of atherosclerosis
Creators
Erin B. Ware - University of Michigan–Ann Arbor
Bhramar Mukherjee - University of Michigan–Ann Arbor
Yan V. Sun - Emory University
Ana V. Diez-Roux - Drexel University
Sharon L. R. Kardia - University of Michigan–Ann Arbor
Jennifer A. Smith - University of Michigan–Ann Arbor
Publication Details
BMC genetics, v 16(1), pp 118-118
Publisher
Springer Nature
Number of pages
11
Grant note
National Heart, Lung, and Blood Institute (NHLBI); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
N01-HC-95159; N01-HC-95169; UL1-RR-024156 / MESA
N01HC095163 / DIVISION OF EPIDEMIOLOGY AND CLINICAL APPLICATIONS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Eye Institute (NEI)
R01HL065226 / NATIONAL HEART, LUNG, AND BLOOD INSTITUTE; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
NIA U01AG009740; RC2 AG036495; RC4 AG039029 / National Institute on Aging; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
NIH Center for Inherited Disease Research (CIDR) at Johns Hopkins University
UL1RR024156 / NATIONAL CENTER FOR RESEARCH RESOURCES; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Center for Research Resources (NCRR)
N02-HL-6-4278; N01-HC-65226 / NHLBI; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Heart Lung & Blood Institute (NHLBI)
P60MD002249 / National Institute on Minority Health and Health Disparities; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Minority Health & Health Disparities (NIMHD)
U01AG009740 / NATIONAL INSTITUTE ON AGING; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Aging (NIA)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative
Web of Science ID
WOS:000362537500001
Scopus ID
2-s2.0-84944056972
Other Identifier
991019169597904721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool: