Evidence map›Paper›PMID 40936339›Full record

ArticlePsychological medicine2025

Uncovering the genetic underpinnings for different psychiatric disorder combinations.

Liangying Yin, Menghui Liu, Yujia Shi, Ruoyu Zhang, Simom Lui, Hon-Cheong So

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Article in Psychological medicine, 2025. 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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5 · Who and what money

Authors and funding

6 authors.

Liangying YinSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-1029-7317
Menghui LiuSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0009-0005-1611-6950
Yujia ShiSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
Ruoyu ZhangSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-6089-7476
Simom LuiDepartment of Psychiatry, School of Clinical Medicine, https://ror.org/02zhqgq86The University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0001-9360-6244
Hon-Cheong SoSchool of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0002-7102-833X

Funding

National Natural Science Foundation of China 81971706
6 · The paper itself

Abstract

backgroundPsychiatric disorders are highly heterogeneous. It is clinically valuable to distinguish psychiatric disorders by the presence or absence of a specific comorbid condition.

methodsWe employed a novel algorithm (CombGWAS) to decipher the genetic basis of psychiatric disorder combinations using genome-wide association studies summary statistics. We focused on comorbidities and combinations of diseases, such as schizophrenia (SCZ) with and without depression, which can be considered as two 'subtypes' of SCZ. We also studied psychiatric disorders comorbid with obesity as disease subtypes.

resultsWe compared the genetic architectures of psychiatric disorders with and without specific comorbidities, identifying both shared and unique susceptibility genes/variants across 8 subtype pairs (16 entities). Despite high genetic correlations between subtypes, most subtype pairs exhibited distinct genetic correlations with the same cardiovascular disease (CVD). Some pairs even displayed opposite genetic correlations, especially those involving obesity. For instance, the genetic correlation (rg) between SCZ with obesity and type 2 diabetes (T2DM) was 0.248 (

conclusionsOur study provides novel insights into the genetic basis of psychiatric disorder heterogeneity, revealing unique genetic signatures across various disorder combinations. Notably, comorbid psychiatric disorders often showed different causal relationships with CVD compared to single disorders.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2Mental DisordersObesitySchizophreniaAlgorithmsComorbidityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisCombGWAScomorbid psychiatric disordersgenetic underpinninggenome-wide association studymendelian randomisationonly single psychiatric disorderpsychiatric disorder combinations

Identifiers

PMID40936339
PMCPMC13054911

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