Genome-wide pleiotropy analysis of neuropathological traits related to Alzheimer’s disease

Springer Science and Business Media LLC - Tập 10 - Trang 1-12 - 2018
Jaeyoon Chung1,2, Xiaoling Zhang2, Mariet Allen3, Xue Wang4, Yiyi Ma2, Gary Beecham5, Thomas J. Montine6, Steven G. Younkin3, Dennis W. Dickson3, Todd E. Golde7, Nathan D. Price8, Nilüfer Ertekin-Taner3,9, Kathryn L. Lunetta10, Jesse Mez11, Richard Mayeux12, Jonathan L. Haines13, Margaret A. Pericak-Vance5, Gerard Schellenberg14, Gyungah R. Jun2,15, Lindsay A. Farrer1,2,10,11,16,17
1Bioinformatics Graduate Program, Boston University, Boston, USA
2Department of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, USA
3Department of Neuroscience, Mayo Clinic, Jacksonville, USA
4Department of Health Sciences Research, Mayo Clinic, Jacksonville, USA
5Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, USA
6Department of Pathology, University of Washington, Seattle, USA
7Center for Translational Research in Neurodegenerative Disease, McKnight Brain Institute, University of Florida, Gainesville, USA
8Institute for Systems Biology, University of Washington, Seattle, USA
9Department of Neurology, Mayo Clinic, Jacksonville, USA
10Department of Biostatistics, Boston University School of Public Health, Boston, USA
11Department of Neurology, Boston University School of Medicine, Boston, USA
12Department of Neurology and Sergievsky Center, Columbia University, New York, USA
13Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, USA
14Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, USA
15Neurogenetics and Integrated Genomics, Andover Innovative Medicines Institute, Eisai Inc., Andover, USA
16Department of Ophthalmology, Boston University School of Medicine, Boston, USA
17Department of Epidemiology, Boston University School of Public Health, Boston, USA

Tóm tắt

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 × 10−8) and for the joint model of NFT and CAA (NFT + CAA) with the HDAC9 SNP rs79524815 (P = 1.1 × 10−8). Gene-based testing revealed study-wide significant associations (P ≤ 2.0 × 10−6) 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 × 10−3), and HDAC9 was significantly downregulated in subjects with AD compared with control subjects in the prefrontal (P = 7.9 × 10−3) and visual (P = 5.6 × 10−4) 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.

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