Dataset Information

Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.

ABSTRACT:

Background

Depression is a debilitating mental disorder that often coexists with anxiety. The genetic mechanisms of depression and anxiety have considerable overlap, and studying depression in non-anxiety samples could help to discover novel gene. We assess the genetic variation of depression in non-anxiety samples, using genome-wide association studies (GWAS) and linkage disequilibrium score regression (LDSC).

Methods

The GWAS of depression score and self-reported depression were conducted using the UK Biobank samples, comprising 99,178 non-anxiety participants with anxiety score <5 and 86,503 non-anxiety participants without self-reported anxiety, respectively. Replication analysis was then performed using two large-scale GWAS summary data of depression from Psychiatric Genomics Consortium (PGC). LDSC was finally used to evaluate genetic correlations with 855 health-related traits based on the primary GWAS.

Results

Two genome-wide significant loci for non-anxiety depression were identified: rs139702470 (p = 1.54 × 10^-8, OR = 0.29) locate in PIEZO2, and rs6046722 (p = 2.52 × 10^-8, OR = 1.09) locate in CFAP61. These associated genes were replicated in two GWAS of depression from PGC, such as rs1040582 (p_{replication GWAS1} = 0.02, p_{replication GWAS2} = 2.71 × 10^-3) in CFAP61, and rs11661122 (p_{replication GWAS1} = 8.16 × 10^-3, p_{replication GWAS2} = 8.08 × 10^-3) in PIEZO2. LDSC identified 19 traits genetically associated with non-anxiety depression (p < 0.001), such as marital separation/divorce (rg = 0.45, SE = 0.15).

Conclusions

Our findings provide novel clues for understanding of the complex genetic architecture of depression.

SUBMITTER: Cheng B

PROVIDER: S-EPMC9353885 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature

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Publications

Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.

Cheng Bolun B Qi Xin X Meng Peilin P Cheng Shiqiang S Yang Xuena X Liu Li L Yao Yao Y Jia Yumeng Y Wen Yan Y Zhang Feng F

European psychiatry : the journal of the Association of European Psychiatrists 20220622 1

<h4>Background</h4>Depression is a debilitating mental disorder that often coexists with anxiety. The genetic mechanisms of depression and anxiety have considerable overlap, and studying depression in non-anxiety samples could help to discover novel gene. We assess the genetic variation of depression in non-anxiety samples, using genome-wide association studies (GWAS) and linkage disequilibrium score regression (LDSC).<h4>Methods</h4>The GWAS of depression score and self-reported depression were ...[more]

PMID: 35730328

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Dataset Information

Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.

Background

Methods

Results

Conclusions

Publications

Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression.

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