An Analysis of Two Genome-wide Association Meta-analyses Identifies a New Locus for Ó³»­´«Ã½ Depression Phenotype.

Biol Psychiatry
Authors
Abstract

BACKGROUND: The genetics of depression has been explored in genome-wide association studies that focused on either major depressive disorder or depressive symptoms with mostly negative findings. A broad depression phenotype including both phenotypes has not been tested previously using a genome-wide association approach. We aimed to identify genetic polymorphisms significantly associated with a broad phenotype from depressive symptoms to major depressive disorder.

METHODS: We analyzed two prior studies of 70,017 participants of European ancestry from general and clinical populations in the discovery stage. We performed a replication meta-analysis of 28,328 participants. Single nucleotide polymorphism (SNP)-based heritability and genetic correlations were calculated using linkage disequilibrium score regression. Discovery and replication analyses were performed using a p-value-based meta-analysis. Lifetime major depressive disorder and depressive symptom scores were used as the outcome measures.

RESULTS: The SNP-based heritability of major depressive disorder was 0.21 (SE = 0.02), the SNP-based heritability of depressive symptoms was 0.04 (SE = 0.01), and their genetic correlation was 1.001 (SE = 0.2). We found one genome-wide significant locus related to the broad depression phenotype (rs9825823, chromosome 3: 61,082,153, p = 8.2 × 10(-9)) located in an intron of the FHIT gene. We replicated this SNP in independent samples (p = .02) and the overall meta-analysis of the discovery and replication cohorts (1.0 × 10(-9)).

CONCLUSIONS: This large study identified a new locus for depression. Our results support a continuum between depressive symptoms and major depressive disorder. A phenotypically more inclusive approach may help to achieve the large sample sizes needed to detect susceptibility loci for depression.

Year of Publication
2016
Journal
Biol Psychiatry
Date Published
2016 Dec 08
ISSN
1873-2402
DOI
10.1016/j.biopsych.2016.11.013
PubMed ID
28049566
PubMed Central ID
PMC5462867
Links
Grant list
RC2 MH089951 / MH / NIMH NIH HHS / United States
RC4 AG039029 / AG / NIA NIH HHS / United States
R01 MH081802 / MH / NIMH NIH HHS / United States
U01 AG009740 / AG / NIA NIH HHS / United States
RC2 MH089995 / MH / NIMH NIH HHS / United States
R01 MH077139 / MH / NIMH NIH HHS / United States
104036 / Wellcome Trust / United Kingdom
MR/K026992/1 / Medical Research Council / United Kingdom
P30 AG010161 / AG / NIA NIH HHS / United States
K01 MH102403 / MH / NIMH NIH HHS / United States
U24 MH068457 / MH / NIMH NIH HHS / United States
RC2 AG036495 / AG / NIA NIH HHS / United States
Wellcome Trust / United Kingdom
U01 MH094421 / MH / NIMH NIH HHS / United States