Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen and German Center of Neurodegenerative Diseases, Tübingen, Germany.
Laboratory of Neurogenetics, Molecular Genetics Section, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA.
Ann Neurol. 2022 Aug;92(2):270-278. doi: 10.1002/ana.26416. Epub 2022 Jun 24.
The aim of the current study is to understand why some individuals avoid developing Parkinson disease (PD) despite being at relatively high genetic risk, using the largest datasets of individual-level genetic data available.
We calculated polygenic risk score to identify controls and matched PD cases with the highest burden of genetic risk for PD in the discovery cohort (International Parkinson's Disease Genomics Consortium, 7,204 PD cases and 9,412 controls) and validation cohorts (Comprehensive Unbiased Risk Factor Assessment for Genetics and Environment in Parkinson's Disease, 8,968 cases and 7,598 controls; UK Biobank, 2,639 PD cases and 14,301 controls; Accelerating Medicines Partnership-Parkinson's Disease Initiative, 2,248 cases and 2,817 controls). A genome-wide association study meta-analysis was performed on these individuals to understand genetic variation associated with resistance to disease. We further constructed a polygenic resilience score, and performed multimarker analysis of genomic annotation (MAGMA) gene-based analyses and functional enrichment analyses.
A higher polygenic resilience score was associated with a lower risk for PD (β = -0.054, standard error [SE] = 0.022, p = 0.013). Although no single locus reached genome-wide significance, MAGMA gene-based analyses nominated TBCA as a putative gene. Furthermore, we estimated the narrow-sense heritability associated with resilience to PD (h = 0.081, SE = 0.035, p = 0.0003). Subsequent functional enrichment analysis highlighted histone methylation as a potential pathway harboring resilience alleles that could mitigate the effects of PD risk loci.
The present study represents a novel and comprehensive assessment of heritable genetic variation contributing to PD resistance. We show that a genetic resilience score can modify the penetrance of PD genetic risk factors and therefore protect individuals carrying a high-risk genetic burden from developing PD. ANN NEUROL 2022;92:270-278.
本研究旨在利用现有的最大个体水平遗传数据数据集,了解为什么一些个体尽管遗传风险相对较高,但仍能避免患上帕金森病(PD)。
我们计算了多基因风险评分,以确定发现队列(国际帕金森病基因组学联合会,7204 例 PD 病例和 9412 例对照)和验证队列(全面、无偏、针对遗传学和环境的帕金森病危险因素评估、8968 例病例和 7598 例对照;英国生物库,2639 例 PD 病例和 14301 例对照;加速药物伙伴关系-帕金森病倡议,2248 例病例和 2817 例对照)中遗传风险最高的 PD 病例和匹配对照。对这些个体进行全基因组关联研究荟萃分析,以了解与疾病抗性相关的遗传变异。我们进一步构建了多基因弹性评分,并进行了基因组注释(MAGMA)多标记分析基因基础分析和功能富集分析。
较高的多基因弹性评分与较低的 PD 风险相关(β=-0.054,标准误 [SE]=0.022,p=0.013)。虽然没有单个基因座达到全基因组显著水平,但 MAGMA 基因基础分析提名 TBCA 为一个潜在的候选基因。此外,我们估计了与 PD 弹性相关的狭义遗传力(h=0.081,SE=0.035,p=0.0003)。随后的功能富集分析强调了组蛋白甲基化作为一种潜在的途径,其中包含可以减轻 PD 风险基因座影响的弹性等位基因。
本研究代表了对遗传变异导致 PD 抗性的新的和全面的评估。我们表明,遗传弹性评分可以改变 PD 遗传风险因素的外显率,从而保护携带高遗传风险负担的个体免于患上 PD。ANN NEUROL 2022;92:270-278。