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Alzheimer's disease (AD) is the most common and complex neurodegenerative disease in the elderly individuals. Recently, genome-wide association studies (GWAS) have been used to investigate AD pathogenesis. These GWAS have yielded important new insights into the genetic mechanisms of AD. However, these newly identified AD susceptibility loci exert only very small risk effects and cannot fully explain the underlying AD genetic risk. We hypothesize that combining the findings from different AD GWAS may have greater power than genetic analysis alone. To identify new AD risk factors, we integrated findings from 3 previous large-scale AD GWAS (n = 14,138) using a gene-based meta-analysis and subsequently conducted a pathway analysis using the kyoto encyclopedia of genes and genomes and gene ontology databases. Interestingly, we not only confirmed previous findings, but also highlighted, for the first time, the involvement of cardiovascular disease-related pathways in AD. Our results provided the clues as to the link between these diseases using pathway analysis methods. We believe that these findings will be very useful for future genetic studies of AD.

Original publication

DOI

10.1016/j.neurobiolaging.2013.10.084

Type

Journal article

Journal

Neurobiol Aging

Publication Date

04/2014

Volume

35

Pages

786 - 792

Keywords

Alzheimer's disease, Cardiovascular disease, Genome-wide association studies, Pathway analysis, Alzheimer Disease, Cardiovascular Diseases, Databases, Genetic, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Meta-Analysis as Topic, Risk, Risk Factors