Hess Jonathan L, Mattheisen Manuel, Greenwood Tiffany A, Tsuang Ming T, Edenberg Howard J, Holmans Peter, Faraone Stephen V, Glatt Stephen J
Department of Psychiatry and Behavioral Sciences, SUNY Upstate Medical University, Syracuse, New York, USA.
Departments of Psychiatry and Community Health and Epidemiology, Dalhousie University, Halifax, Nova Scotia, Canada.
Am J Med Genet B Neuropsychiatr Genet. 2024 Mar;195(2):e32957. doi: 10.1002/ajmg.b.32957. Epub 2023 Aug 8.
Identifying heritable factors that moderate the genetic risk for schizophrenia (SCZ) could help clarify why some individuals remain unaffected despite having relatively high genetic liability. Previously, we developed a framework to mine genome-wide association (GWAS) data for common genetic variants that protect high-risk unaffected individuals from SCZ, leading to derivation of the first-ever "polygenic resilience score" for SCZ (resilient controls n = 3786; polygenic risk score-matched SCZ cases n = 18,619). Here, we performed a replication study to verify the moderating effect of our polygenic resilience score on SCZ risk (OR = 1.09, p = 4.03 × 10 ) using newly released GWAS data from 23 independent case-control studies collated by the Psychiatric Genomics Consortium (PGC) (resilient controls n = 2821; polygenic risk score-matched SCZ cases n = 5150). Additionally, we sought to optimize our polygenic resilience-scoring formula to improve subsequent modeling of resilience to SCZ and other complex disorders. We found significant replication of the polygenic resilience score, and found that strict pruning of SNPs based on linkage disequilibrium to known risk SNPs and their linked loci optimizes the performance of the polygenic resilience score.
识别可调节精神分裂症(SCZ)遗传风险的遗传因素,有助于阐明为何有些个体尽管遗传易感性相对较高却仍未患病。此前,我们开发了一个框架,用于在全基因组关联(GWAS)数据中挖掘常见遗传变异,这些变异可使高风险未患病个体免受SCZ影响,从而得出了首个针对SCZ的“多基因复原力评分”(复原力对照组n = 3786;多基因风险评分匹配的SCZ病例n = 18,619)。在此,我们进行了一项重复研究,利用精神病基因组学联盟(PGC)整理的23项独立病例对照研究新发布的GWAS数据,验证我们的多基因复原力评分对SCZ风险的调节作用(OR = 1.09,p = 4.03×10)(复原力对照组n = 2821;多基因风险评分匹配的SCZ病例n = 5150)。此外,我们试图优化我们的多基因复原力评分公式,以改进后续对SCZ及其他复杂疾病复原力的建模。我们发现多基因复原力评分得到了显著重复,并发现基于与已知风险单核苷酸多态性(SNP)及其连锁位点的连锁不平衡对SNP进行严格筛选,可优化多基因复原力评分的性能。