| Title: | Genome-wide association studies in non-anxiety individuals identified novel risk loci for depression |
| Journal: | European Psychiatry |
| Published: | 22 Jun 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35730328/ |
| DOI: | https://doi.org/10.1192/j.eurpsy.2022.32 |
Publication 14020
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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).</p>
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.</p>
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 (preplication GWAS1 = 0.02, preplication GWAS2 = 2.71 × 10-3) in CFAP61, and rs11661122 (preplication GWAS1 = 8.16 × 10-3, preplication 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).</p>
CONCLUSIONS: Our findings provide novel clues for understanding of the complex genetic architecture of depression.</p>
8 Keywords
- Anxiety Disorders
- Depression
- Genetic Predisposition to Disease
- Genome-Wide Association Study
- Humans
- Linkage Disequilibrium
- Phenotype
- Polymorphism, Single Nucleotide
10 Authors
- Bolun Cheng
- Xin Qi
- Peilin Meng
- Shiqiang Cheng
- Xuena Yang
- Li Liu
- Yao Yao
- Yumeng Jia
- Yan Wen
- Feng Zhang
1 Application
| Application ID | Title |
|---|---|
| 46478 | Multi-omics integrative studies of common psychiatric disorders and skeletal disorders |
Enabling scientific discoveries that improve human health