EQTLs weighted genetic correlation analysis detected brain region differences in genetic correlations for complex psychiatric disorders

  • Yan Wen
  • , Feng Zhang
  • , Xiancang Ma
  • , Qianrui Fan
  • , Wenyu Wang
  • , Jiawen Xu
  • , Feng Zhu
  • , Jingcan Hao
  • , Awen He
  • , Li Liu
  • , Xiao Liang
  • , Yanan Du
  • , Ping Li
  • , Cuiyan Wu
  • , Sen Wang
  • , Xi Wang
  • , Yujie Ning
  • , Xiong Guo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Background: Psychiatric disorders are usually caused by the dysfunction of various brain regions. Incorporating the genetic information of brain regions into correlation analysis can provide novel clues for pathogenetic and therapeutic studies of psychiatric disorders. Methods: The latest genome-wide association study (GWAS) summary data of schizophrenia (SCZ), bipolar disorder (BIP), autism spectrum disorder (AUT), major depression disorder (MDD), and attention-deficit/hyperactivity disorder (ADHD) were obtained from the Psychiatric GWAS Consortium (PGC). The expression quantitative trait loci (eQTLs) datasets of 10 brain regions were driven from the genotype-tissue expression (GTEx) database. The PGC GWAS summaries were first weighted by the GTEx eQTLs summaries for each brain region. Linkage disequilibrium score regression was applied to the weighted GWAS summary data to detect genetic correlation for each pair of 5 disorders. Results: Without considering brain region difference, significant genetic correlations were observed for BIP vs SCZ (P = 1.68 × 10-63), MDD vs SCZ (P = 5.08 × 10-45), ADHD vs MDD (P = 1.93 × 10-44), BIP vs MDD (P = 6.39 × 10-9), AUT vs SCZ (P = .0002), and ADHD vs SCZ (P = .0002). Utilizing brain region related eQTLs weighted LD score regression, different strengths of genetic correlations were observed within various brain regions for BIP vs SCZ, MDD vs SCZ, ADHD vs MDD, and SCZ vs ADHD. For example, the most significant genetic correlations were observed at anterior cingulate cortex (P = 1.13 × 10-34) for BIP vs SCZ. Conclusions: This study provides new clues for elucidating the mechanism of genetic correlations among various psychiatric disorders.

Original languageEnglish
Pages (from-to)709-715
Number of pages7
JournalSchizophrenia Bulletin
Volume45
Issue number3
DOIs
StatePublished - May 2019

Keywords

  • Brain regions
  • Expression quantitative trait loci
  • Genetic correlation
  • Genomewide association studies
  • Linkage disequilibrium score regression
  • Psychiatric disorders

Fingerprint

Dive into the research topics of 'EQTLs weighted genetic correlation analysis detected brain region differences in genetic correlations for complex psychiatric disorders'. Together they form a unique fingerprint.

Cite this