Evidence map›Paper›PMID 35730328›Full record

ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2022

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

Bolun Cheng, Xin Qi, Peilin Meng, Shiqiang Cheng, Xuena Yang, Li Liu, Yao Yao, Yumeng Jia, Yan Wen, Feng Zhang

Abstract read
In one paragraph

Article in European psychiatry : the journal of the Association of European Psychiatrists, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Bolun ChengKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0003-2915-5535
Xin QiPrecision Medicine Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Peilin MengKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0001-6297-0860
Shiqiang ChengKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.
Xuena YangKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0001-7905-6901
Li LiuKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0003-0527-9250
Yao YaoKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.
Yumeng JiaKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0003-0060-9257
Yan WenKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.
Feng ZhangKey Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an710061, China.ORCID 0000-0003-1339-5956

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853
6 · The paper itself

Abstract

backgroundDepression 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).

methodsThe 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.

resultsTwo genome-wide significant loci for non-anxiety depression were identified: rs139702470 (

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

Indexed as

DepressionGenome-Wide Association StudyAnxiety DisordersGenetic Predisposition to DiseaseHumansLinkage DisequilibriumPhenotypePolymorphism, Single NucleotideDepressiongenome-wide association studylinkage disequilibrium score regressionnon-anxiety

Identifiers

PMID35730328
PMCPMC9353885

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.