Department of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
State Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, China.
Neurotox Res. 2019 Oct;36(3):515-522. doi: 10.1007/s12640-019-00066-2. Epub 2019 Jun 18.
Parkinson's disease (PD) is attributed to interactions among genes and environmental and lifestyle factors, but the genetic architecture of PD is complex and not completely understood. To evaluate whether the genetic profile modifies PD development and cerebrospinal fluid (CSF) pathological biomarkers, we enrolled 418 PD patients and 426 age- and sex-matched normal controls. Forty-six single nucleotide polymorphisms (SNPs) that were reported to be significantly associated with PD in large-scale genome-wide association studies (GWASs) were genotyped and analysed. The alleles associated with PD were used to build polygenic risk score (PRS) models to represent polygenic risk. The Cox proportional hazards model and receiver operating characteristic (ROC) analyses were used to evaluate the prediction value of the PRS for PD risk and age at onset. The CSF α-synuclein levels were measured in a subgroup of control subjects (n = 262), and its relationship with the PRS was analysed. We found that some SNPs identified from other populations had significant correlations with PD in our Chinese cohort. The PRS we built had prediction value for PD risk and age at onset. The CSF α-synuclein level had no correlation with the PRS in normal subjects.
帕金森病(PD)归因于基因与环境和生活方式因素的相互作用,但 PD 的遗传结构复杂,尚未完全阐明。为了评估遗传特征是否会改变 PD 的发展和脑脊液(CSF)病理生物标志物,我们招募了 418 名 PD 患者和 426 名年龄和性别匹配的正常对照者。对 46 个在大规模全基因组关联研究(GWAS)中被报道与 PD 显著相关的单核苷酸多态性(SNP)进行了基因分型和分析。将与 PD 相关的等位基因用于构建多基因风险评分(PRS)模型,以代表多基因风险。Cox 比例风险模型和接收者操作特征(ROC)分析用于评估 PRS 对 PD 风险和发病年龄的预测价值。在一组亚组对照者(n=262)中测量了 CSF α-突触核蛋白水平,并分析了其与 PRS 的关系。我们发现,其他人群中确定的一些 SNP 与我们中国队列中的 PD 有显著相关性。我们构建的 PRS 对 PD 风险和发病年龄具有预测价值。CSF α-突触核蛋白水平与正常受试者的 PRS 无相关性。