An atlas of genetic correlations between psychiatric disorders and human blood plasma proteome

  • Shiqiang Cheng
  • , Fanglin Guan
  • , Mei Ma
  • , Lu Zhang
  • , Bolun Cheng
  • , Xin Qi
  • , Chujun Liang
  • , Ping Li
  • , Om Prakash Kafle
  • , Yan Wen
  • , Feng Zhang

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

BACKGROUND: Psychiatric 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. METHODS: The 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. RESULTS: LDSC 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). CONCLUSIONS: This 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.

Original languageEnglish
Pages (from-to)e17
JournalEuropean psychiatry : the journal of the Association of European Psychiatrists
Volume63
Issue number1
DOIs
StatePublished - 20 Feb 2020

Keywords

  • Genetic correlation
  • genome-wide association study
  • linkage disequilibrium score regression
  • plasma proteins
  • psychiatric disorders

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