Evidence map›Paper›PMID 41350606›Full record

ArticleScientific reports2025

Genome-annotated bivariate analysis of shared heritability in autoimmune hepatitis with psychiatric comorbidity.

Li Liu, Jing Chen, Tianxu Chen, Junlin Li, Qiong Wang

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Article in Scientific reports, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Li LiuDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, No. 82 Qinglong St, Chengdu, Sichuan, China.
Jing ChenDepartment of Gastroenterology, The People's Hospital of Dujiangyan, Chengdu, China.
Tianxu ChenDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, No. 82 Qinglong St, Chengdu, Sichuan, China.
Junlin LiDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, No. 82 Qinglong St, Chengdu, Sichuan, China.
Qiong WangDepartment of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, No. 82 Qinglong St, Chengdu, Sichuan, China. qiongwang_cdsy120@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studies indicate a high psychiatric burden in autoimmune hepatitis (AIH) patients, yet research on their genetic links remains unclear. This study comprehensively explores their genetic connections. The correlation metric, genetic correlation (rg), can measure the shared biological basis and explore the genetic architecture. We used the summary statistics from genome-wide association studies (GWAS) to accurately calculate the global and bivariate local genetic correlations between AIH and psychiatric disorders. Cross-trait GWAS meta-analysis for multiple traits can efficiently evaluate single nucleotide polymorphism (SNP) level summary statistics. We employ molecular characteristics to conduct unit tests in various tissues and annotate the corresponding loci. Through multiple genetic covariant tests, we identified 314 unique regions out of 1185 bivariate regions, including chr1p31.1, chr15q25.1, and chr3p14.1. Furthermore, it was discovered that AIH and psychiatric disorders share co-enrichment in multiple brain tissues, including the cerebellum hemisphere, cortex, pituitary, and nucleus accumbens basal ganglia, with PTRHD1, ANKK1, RPS26, YJEFN3, and C2orf69 identified as potential functional genes. The results of the above analyses were verified through multiple colocalization and functional enrichment assessments. Our study has identified pleiotropic genomic regions linking AIH and psychiatric disorders, providing effective strategies for the treatment of diseases.

Indexed as

Hepatitis, AutoimmuneMental DisordersComorbidityGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAutoimmune hepatitisPleiotropic lociPsychiatric disordersShared genetic architecture

Identifiers

PMID41350606
PMCPMC12796253

What Socratic holds

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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 Socratic graph.