Novel genetic susceptibility loci identified by family based whole exome sequencing in Han Chinese schizophrenia patients.
Mo LiLu ShenLuan ChenCong HuaiHailiang HuangXi WuChao YangJingsong MaWei ZhouHuihui DuLingzi FanLin HeChunling WanShengying QinPublished in: Translational psychiatry (2020)
Schizophrenia (SCZ) is a highly heritable psychiatric disorder that affects approximately 1% of population around the world. However, early relevant studies did not reach clear conclusions of the genetic mechanisms of SCZ, suggesting that additional susceptibility loci that exert significant influence on SCZ are yet to be revealed. So, in order to identify novel susceptibility genes that account for the genetic risk of SCZ, we performed a systematic family-based study using whole exome sequencing (WES) in 65 Han Chinese families. The analysis of 51 SCZ trios with both unaffected parents identified 22 exonic and 1 splice-site de novo mutations (DNMs) on a total of 23 genes, and showed that 12 genes carried rare protein-altering compound heterozygous mutations in more than one trio. In addition, we identified 26 exonic or splice-site single nucleotide polymorphisms (SNPs) on 18 genes with nominal significance (P < 5 × 10-4) using a transmission disequilibrium test (TDT) in all the families. Moreover, TDT result confirmed a SCZ susceptibility locus on 3p21.1, encompassing the multigenetic region NEK4-ITIH1-ITIH3-ITIH4. Through several different strategies to predict the potential pathogenic genes in silico, we revealed 4 previous discovered susceptibility genes (TSNARE1, PBRM1, STAB1 and OLIG2) and 4 novel susceptibility loci (PSEN1, TLR5, MGAT5B and SSPO) in Han Chinese SCZ patients. In summary, we identified a list of putative candidate genes for SCZ using a family-based WES approach, thus improving our understanding of the pathology of SCZ and providing critical clues to future functional validation.
Keyphrases
- genome wide
- dna methylation
- end stage renal disease
- copy number
- ejection fraction
- bioinformatics analysis
- chronic kidney disease
- genome wide identification
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- immune response
- mental health
- gene expression
- single cell
- current status
- climate change
- molecular docking
- patient reported outcomes
- patient reported
- transcription factor
- protein protein