Bioinformatics Graduate Program, Boston University, Boston, MA, USA.
Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
Alzheimers Res Ther. 2018 Feb 20;10(1):22. doi: 10.1186/s13195-018-0349-z.
Simultaneous consideration of two neuropathological traits related to Alzheimer's disease (AD) has not been attempted in a genome-wide association study.
We conducted genome-wide pleiotropy analyses using association summary statistics from the Beecham et al. study (PLoS Genet 10:e1004606, 2014) for AD-related neuropathological traits, including neuritic plaque (NP), neurofibrillary tangle (NFT), and cerebral amyloid angiopathy (CAA). Significant findings were further examined by expression quantitative trait locus and differentially expressed gene analyses in AD vs. control brains using gene expression data.
Genome-wide significant pleiotropic associations were observed for the joint model of NP and NFT (NP + NFT) with the single-nucleotide polymorphism (SNP) rs34487851 upstream of C2orf40 (alias ECRG4, P = 2.4 × 10) and for the joint model of NFT and CAA (NFT + CAA) with the HDAC9 SNP rs79524815 (P = 1.1 × 10). Gene-based testing revealed study-wide significant associations (P ≤ 2.0 × 10) for the NFT + CAA outcome with adjacent genes TRAPPC12, TRAPPC12-AS1, and ADI1. Risk alleles of proxy SNPs for rs79524815 were associated with significantly lower expression of HDAC9 in the brain (P = 3.0 × 10), and HDAC9 was significantly downregulated in subjects with AD compared with control subjects in the prefrontal (P = 7.9 × 10) and visual (P = 5.6 × 10) cortices.
Our findings suggest that pleiotropy analysis is a useful approach to identifying novel genetic associations with complex diseases and their endophenotypes. Functional studies are needed to determine whether ECRG4 or HDAC9 is plausible as a therapeutic target.
在全基因组关联研究中,尚未同时考虑与阿尔茨海默病(AD)相关的两种神经病理学特征。
我们使用 Beecham 等人的研究(PLoS Genet 10:e1004606,2014 年)的关联汇总统计数据,对 AD 相关神经病理学特征(包括神经纤维缠结(NFT)、神经原纤维缠结(NFT)和脑淀粉样血管病(CAA))进行了全基因组关联分析。使用 AD 与对照大脑的基因表达数据,通过表达数量性状基因座和差异表达基因分析,对显著发现进行了进一步研究。
观察到 NP + NFT 联合模型与 C2orf40 上游的单核苷酸多态性(SNP)rs34487851 (NP + NFT;P = 2.4×10)和 NFT + CAA 联合模型与 HDAC9 SNP rs79524815 (P = 1.1×10)之间具有全基因组显著的多效性关联。基因检测显示,NFT + CAA 结果与相邻基因 TRAPPC12、TRAPPC12-AS1 和 ADI1 之间存在全基因组显著关联(P≤2.0×10)。rs79524815 替代 SNP 的风险等位基因与大脑中 HDAC9 的表达显著降低相关(P = 3.0×10),与对照组相比,AD 患者前额叶(P = 7.9×10)和视觉(P = 5.6×10)皮质中 HDAC9 的表达显著下调。
我们的研究结果表明,多效性分析是识别与复杂疾病及其表型相关的新型遗传关联的有用方法。需要进行功能研究,以确定 ECRG4 或 HDAC9 是否可作为治疗靶点。