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Nazarian, A.

Publications and source records attributed to Nazarian, A..

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Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex-disparities

BackgroundAlzheimers disease (AD) is the most common cause of dementia in the elderly and the sixth leading cause of death in the United States. AD is mainly considered a complex disorder with polygenic inheritance. Despite discovering many susceptibility loci, a major proportion of AD genetic variance remains to be explained.\n\nMethodsWe investigated the genetic architecture of AD in four publicly available independent datasets through genome-wide association, transcriptome-wide association, and gene-based analyses. To explore differences in the genetic basis of AD between males and females, analyses were performed on three samples in each dataset: males and females combined, only males, or only females.\n\nResultsOur genome-wide association analyses corroborated the associations of several previously detected AD loci and revealed novel significant associations of 54 single-nucleotide polymorphisms (SNPs) at a p-value of < 5E-06. In addition, 23 genes located outside the chromosome 19q13 region showed suggestive associations with AD at a false discovery rate of 0.05 in transcriptome-wide association and gene-based analyses. Most of the newly detected AD-associated SNPs and genes were sex specific, indicating sex disparities in the genetic basis of AD.\n\nConclusionsOur findings, particularly the newly discovered sex-specific genetic contributors, provide novel insight into the genetic architecture of AD and can advance our understanding of its pathogenesis.

neuroscience

Methylation-wide association analysis reveals AIM2, DGUOK, GNAI3, and ST14 genes as potential contributors to the Alzheimer’s disease pathogenesis

Introduction: Alzheimers disease (AD) is a progressive complex neurodegenerative disorder with devastating impact on cognitive abilities. It is among the top 10 leading causes of death in the United States with no curative medications. Exploring genetic and non-genetic contributors to AD development is, therefore, of great importance.\n\nMethods: We investigated the AD-associated epigenetic changes by combing results from publicly available genome-wide association analyses and a large-scale methylation quantitative trait loci study.\n\nResults: Probes mapped to 133 genes were associated with AD with < 2.50E-06. Of these, four genes (i.e., GNAI3, AIM2, DGUOK and ST14) provided stronger evidence of possible role in AD pathogenesis as they were also significantly associated with AD in previous expression quantitative trait loci analyses and/or mouse model studies.\n\nDiscussion: Although the identified associations do not prove any definitive causal relationships with AD, they provide a list of prioritized genes for follow-up functional studies.

neuroscience