Evidence map›Paper›PMID 42225622›Full record

ArticleTranslational psychiatry2026

Shared genetic architecture and pathways linking major depressive disorder and autoimmune thyroid disease: insights from common and rare variants.

Siyi Liu, Yu Zeng, Liling Xiao, Yulu Wu, Can Hou, Huazhen Yang, Menghan Wei, Yiguo Tang, Yunqi Huang, Yunjia Liu and 6 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Siyi Liu *Mental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yu Zeng *West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Liling XiaoMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yulu WuMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Can HouWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.ORCID http://orcid.org/0000-0002-6903-6007
Huazhen YangWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
Menghan WeiMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yiguo TangMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yunqi HuangMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0009-0003-6724-9724
Yunjia LiuMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.ORCID http://orcid.org/0009-0008-3584-9879
Qianshu MaMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yubing YinMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Mengting ZhangMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yang ChenMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Huan SongWest China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China. songhuan@wchscu.cn.ORCID http://orcid.org/0000-0003-3845-8079
Qiang WangMental Health Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China. wangqiang130@scu.edu.cn.ORCID http://orcid.org/0000-0002-3849-1349

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82171499National Natural Science Foundation of China (National Science Foundation of China) 82471535
6 · The paper itself

Abstract

Major depressive disorder (MDD) and autoimmune thyroid disease (AITD) frequently co-occur, yet the genetic factors underlying their comorbidity remain unclear. We performed a population-matched cohort study from the UK Biobank to evaluate the phenotypic association between MDD and AITD. Genetic correlation, causal relationships, and pleiotropic loci/genes shared between the diseases were assessed based on common variants using genome-wide association study (GWAS) summary statistics, complemented by individual-level validation through polygenic risk score analysis. We additionally performed an exome-wide association analysis using the UK Biobank 450k whole-exome sequencing (WES) release to identify disease-specific risk genes from rare variants. Findings from common and rare variants were integrated and subjected to pathway enrichment, protein-protein interaction (PPI) and transcription factor (TF) analyses to locate functional modules. In the cohort study, MDD and AITD were associated with a 2.8-fold increased risk of developing the other condition. We confirmed a modest but statistically significant positive genetic correlation (r

Indexed as

Major Depressive DisorderThyroiditis, AutoimmuneCohort StudiesComorbidityExome SequencingFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreGenetic VariationGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideUnited Kingdom

Identifiers

PMID42225622
PMCPMC13438702

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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.