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Previously, we demonstrated an integrated genomic convergence and network analysis approach to identify the candidate genes associated with the complex neurodegenerative disorder, Alzheimer’s disease (AD). Here, we performed a pilot study to validate the  in silico  approach by studying the association of genetic variants from three identified critical genes,  APOE ,  EGFR , and  ACTB , with AD. A total of 103 patients with AD and 146 healthy controls were recruited. A total of 46 single-nucleotide polymorphisms (SNPs) spanning the three genes were genotyped, of which only 19 SNPs were included in the final analyses after excluding non-polymorphic and Hardy–Weinberg equilibrium-violating SNPs. Apart from our previously reported  APOE  ε4, four other SNPs in  APOE  (rs405509, rs7259620, −rs769449, and rs7256173), one in  EGFR  (rs6970262), and one in  ACTB  (rs852423) showed a significant association with AD ( p  &amp;lt; 0.05). Our results validate the reliability of genomic convergence and network analysis approach in identifying the AD-associated candidate genes.

Validating a Genomic Convergence and Network Analysis Approach Using Association Analysis of Identified Candidate Genes in Alzheimer’s Disease