ArticleEuropean psychiatry : the journal of the Association of European Psychiatrists2020
An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome.
Article in European psychiatry : the journal of the Association of European Psychiatrists, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.
- The Insulin-like Growth Factor Family as a Potential Peripheral Biomarker in Psychiatric Disorders: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Uncovering causal associations between plasma proteins and psychiatric disorders and identifying comorbidity biomarkers: a mendelian randomization study.European archives of psychiatry and clinical neuroscience · 2026Article
- Serum proteomic signatures and an immune-calcium signaling cascade associated with antipsychotic-related erectile dysfunction in schizophrenia.Scientific reports · 2026Article
- Deciphering the Glycoproteomic Landscape of Mood Disorders: Unveiling Molecular Association Between CDG and Depression Resilience.Research square · 2025Article
- Multitrait Genetic Analysis Identifies Novel Pleiotropic Loci for Depression and Schizophrenia in East Asians.Schizophrenia bulletin · 2025Article
- Identifying novel chemical-related susceptibility genes for five psychiatric disorders through integrating genome-wide association study and tissue-specific 3'aQTL annotation datasets.European archives of psychiatry and clinical neuroscience · 2025Article
- Classification of schizophrenia, bipolar disorder and major depressive disorder with comorbid traits and deep learning algorithms.Schizophrenia (Heidelberg, Germany) · 2025Article
- Causal role of immune cells in generalized anxiety disorder: Mendelian randomization study.Frontiers in immunology · 2023Article
- Article
- Integrative omics of schizophrenia: from genetic determinants to clinical classification and risk prediction.Molecular psychiatry · 2022Review
- Label-Free Liquid Chromatography-Mass Spectrometry Proteomic Analysis of the Urinary Proteome for Measuring the Escitalopram Treatment Response From Major Depressive Disorder.Frontiers in psychiatry · 2021Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPsychiatric disorders are a group of complex psychological syndromes with high prevalence. Recent studies observed associations between altered plasma proteins and psychiatric disorders. This study aims to systematically explore the potential genetic relationships between five major psychiatric disorders and more than 3,000 plasma proteins.
methodsThe genome-wide association study (GWAS) datasets of attention deficiency/hyperactive disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD), schizophrenia (SCZ) and major depressive disorder (MDD) were driven from the Psychiatric GWAS Consortium. The GWAS datasets of 3,283 human plasma proteins were derived from recently published study, including 3,301 study subjects. Linkage disequilibrium score (LDSC) regression analysis were conducted to evaluate the genetic correlations between psychiatric disorders and each of the 3,283 plasma proteins.
resultsLDSC observed several genetic correlations between plasma proteins and psychiatric disorders, such as ADHD and lysosomal Pro-X carboxypeptidase (p value = 0.015), ASD and extracellular superoxide dismutase (Cu-Zn; p value = 0.023), BD and alpha-N-acetylgalactosaminide alpha-2,6-sialyltransferase 6 (p value = 0.007), MDD and trefoil factor 1 (p value = 0.011), and SCZ and insulin-like growth factor-binding protein 6 (p value = 0.011). Additionally, we detected four common plasma proteins showing correlation evidence with both BD and SCZ, such as tumor necrosis factor receptor superfamily member 1B (p value = 0.012 for BD, p value = 0.011 for SCZ).
conclusionsThis study provided an atlas of genetic correlations between psychiatric disorders and plasma proteome, providing novel clues for pathogenetic and biomarkers, therapeutic studies of psychiatric disorders.
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