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