Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Duke Cancer Institute, Duke University Medical Center, Durham, NC, USA.
J Alzheimers Dis. 2023;91(3):977-987. doi: 10.3233/JAD-220680.
Alzheimer's disease (AD) is a common neurodegenerative disease and mild cognitive impairment (MCI) is considered as the prodromal stage of AD. Previous studies showed that changes in the neurotrophin signaling pathway could lead to cognitive decline in AD. However, the association of single nucleotide polymorphisms (SNPs) in genes that are involved in this pathway with AD progression from MCI remains unclear.
We investigated the associations between SNPs involved in the neurotrophin signaling pathway with AD progression.
We performed single-locus analysis to identify neurotrophin-signaling-related SNPs associated with the AD progression using 767 patients from the Alzheimer's Disease Neuroimaging Initiative study and 1,373 patients from the National Alzheimer's Coordinating Center study. We constructed polygenic risk scores (PRSs) using the identified independent non-APOE SNPs and evaluated its prediction performance on AD progression.
We identified 25 SNPs significantly associated with AD progression with Bayesian false-discovery probability ≤0.8. Based on the linkage disequilibrium clumping and expression quantitative trait loci analysis, we found 6 potentially functional SNPs that were associated with AD progression independently. The PRS analysis quantified the combined effects of these SNPs on longitudinal cognitive assessments and biomarkers from cerebrospinal fluid and neuroimaging. The addition of PRSs to the prediction model for 3-year progression to AD from MCI significantly increased the predictive accuracy.
Genetic variants in the specific genes of the neurotrophin signaling pathway are predictors of AD progression. eQTL analysis supports that these SNPs regulate expression of key genes involved in the neurotrophin signaling pathway.
阿尔茨海默病(AD)是一种常见的神经退行性疾病,轻度认知障碍(MCI)被认为是 AD 的前驱阶段。先前的研究表明,神经营养因子信号通路的变化可能导致 AD 患者认知能力下降。然而,该通路相关基因中的单核苷酸多态性(SNPs)与从 MCI 进展为 AD 的关联尚不清楚。
我们研究了神经营养因子信号通路中涉及的 SNPs 与 AD 从 MCI 进展的相关性。
我们使用来自阿尔茨海默病神经影像学倡议研究的 767 名患者和来自国家阿尔茨海默病协调中心研究的 1373 名患者进行单基因座分析,以确定与 AD 进展相关的神经营养因子信号相关 SNPs。我们使用鉴定出的独立非 APOE SNPs 构建多基因风险评分(PRSs),并评估其对 AD 进展的预测性能。
我们确定了 25 个与 AD 进展显著相关的 SNPs,Bayesian 假发现概率≤0.8。基于连锁不平衡聚类和表达数量性状基因座分析,我们发现了 6 个可能与 AD 进展独立相关的潜在功能 SNPs。PRS 分析量化了这些 SNPs 对纵向认知评估以及来自脑脊液和神经影像学的生物标志物的综合影响。将 PRS 添加到从 MCI 到 AD 的 3 年进展预测模型中显著提高了预测准确性。
神经营养因子信号通路特定基因中的遗传变异是 AD 进展的预测因子。eQTL 分析支持这些 SNPs 调节了神经营养因子信号通路中关键基因的表达。