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.

TitleComparative genome-wide association studies of a depressive symptom phenotype in a repeated measures setting by race/ethnicity in the Multi-Ethnic Study of Atherosclerosis.
Publication TypeJournal Article
Year of Publication2015
AuthorsWare, EB, Mukherjee, B, Sun, YV, Diez-Roux, AV, Kardia, SLR
JournalBMC Genet
Volume16
Pagination118
Date Published2015 Oct 12
ISSN Number1471-2156
KeywordsAfrican Americans, Atherosclerosis, Continental Population Groups, depression, Ethnic Groups, European Continental Ancestry Group, Female, Genome-Wide Association Study, Humans, Male, Meta-Analysis as Topic, Middle Aged, Phenotype, Statistics, Nonparametric
Abstract

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 (5×10(-8) < p-value ≤ 5×10(-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.

Notes

Times Cited: 0 0

DOI10.1186/s12863-015-0274-0
User Guide Notes

http://www.ncbi.nlm.nih.gov/pubmed/26459564?dopt=Abstract

Endnote Keywords

ethnic differences/depressive Symptoms/Sociocultural Factors/African American

Endnote ID

999999

Alternate JournalBMC Genet
Citation Key8238
PubMed ID26459564
PubMed Central IDPMC4603946
Grant ListRC4 AG039029 / AG / NIA NIH HHS / United States
N02-HL-6-4278 / HL / NHLBI NIH HHS / United States
N01-HC-95162 / HC / NHLBI NIH HHS / United States
R01 HL101161 / HL / NHLBI NIH HHS / United States
U01 AG009740 / AG / NIA NIH HHS / United States
R01-HL-101161 / HL / NHLBI NIH HHS / United States
N01-HC-95163 / HC / NHLBI NIH HHS / United States
N01-HC-95168 / HC / NHLBI NIH HHS / United States
N01HC95169 / HL / NHLBI NIH HHS / United States
UL1-RR-024156 / RR / NCRR NIH HHS / United States
P60 MD002249 / MD / NIMHD NIH HHS / United States
UL1 RR024156 / RR / NCRR NIH HHS / United States
N01-HC-95159 / HC / NHLBI NIH HHS / United States
N01-HC-95165 / HC / NHLBI NIH HHS / United States
N01-HC-95169 / HC / NHLBI NIH HHS / United States
N01-HC-95164 / HC / NHLBI NIH HHS / United States
N01HC95159 / HL / NHLBI NIH HHS / United States
N01-HC-95160 / HC / NHLBI NIH HHS / United States
N01HC65226 / HL / NHLBI NIH HHS / United States
U01AG009740 / AG / NIA NIH HHS / United States
N01-HC-95161 / HC / NHLBI NIH HHS / United States
RC2 AG036495 / AG / NIA NIH HHS / United States
N01-HC-95166 / HC / NHLBI NIH HHS / United States
N01-HC-95167 / HC / NHLBI NIH HHS / United States
N01-HC-65226 / HC / NHLBI NIH HHS / United States