Evidence mapPaperPMID 41836659Full record

ArticleFrontiers in psychiatry2026

Proteome-wide Mendelian randomization and colocalization analyses identify potential biomarkers for schizophrenia.

Jingyu Lin, Haiming Huang, Lin Chen, Yanyan Wei, Tianmei Si, Yunai Su, Yajuan Niu, Jingxu Chen

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Article in Frontiers in 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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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

8 authors.

Jingyu LinBeijing Huilongguan Hospital, Capital Medical University, Beijing, China.
Haiming HuangDepartment of Clinical Laboratory, Peking University First Hospital, Beijing, China.
Lin ChenBeijing Huilongguan Hospital, Capital Medical University, Beijing, China.
Yanyan WeiBeijing Huilongguan Hospital, Capital Medical University, Beijing, China.
Tianmei SiPeking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, China.
Yunai SuPeking University Sixth Hospital, Peking University Institute of Mental Health, National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), NHC Key Laboratory of Mental Health (Peking University), Beijing, China.
Yajuan NiuBeijing Huilongguan Hospital, Capital Medical University, Beijing, China.
Jingxu ChenBeijing Huilongguan Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We performed proteome-wide Mendelian randomization (MR) and colocalization analyses to explore the causal relationships between proteins and schizophrenia (SCZ). Methods: In the primary analysis, genetic instruments of 4,907 plasma protein from 35,559 Icelanders served as the exposure, summary statistics for SCZ (35,476 cases, 46,839 controls) Working Group of the Psychiatric Genomics Consortium (PGC) served as the outcome. The initial findings underwent sensitivity analyses and were externally validated using cis-pQTLs from the Fenland study (4,979 proteins, 10,708 participants) and UK Biobank Pharma Proteomics Project (UKB-PPP, 2923 proteins, 33,043 participants), and brain cis-eQTLs from Genotype-Tissue Expression (GTEx). Bayesian colocalization assessed shared causal variants. Protein-protein interactions with antipsychotic drug targets were explored. Results: In the primary analysis, genetically predicted levels of seven plasma proteins were significantly associated with SCZ risk: ADAM22 (OR = 0.85, Conclusion: This large-scale MR study provides robust evidence supporting causal roles for specific plasma proteins in SCZ pathogenesis, highlighting promising candidates for mechanistic studies and therapeutic development.

Indexed as

biomarkerscolocalizationCTSSMendelian randomizationschizophrenia

Identifiers

PMID41836659
PMCPMC12982484

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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.