publication . Article . 2016

A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease

Bodily, Paul M.; Fujimoto, M. Stanley; Page, Justin T.; Clement, Mark J.; Ebbert, Mark T. W.; Ridge, Perry G.;
Open Access English
  • Published: 01 Jul 2016 Journal: BMC Bioinformatics, volume 17, issue Suppl 7 (eissn: 1471-2105, Copyright policy)
  • Publisher: BioMed Central
Background Genome-wide association studies (GWAS) have effectively identified genetic factors for many diseases. Many diseases, including Alzheimer’s disease (AD), have epistatic causes, requiring more sophisticated analyses to identify groups of variants which together affect phenotype. Results Based on the GWAS statistical model, we developed a multi-SNP GWAS analysis to identify pairs of variants whose common occurrence signaled the Alzheimer’s disease phenotype. Conclusions Despite not having sufficient data to demonstrate significance, our preliminary experimentation identified a high correlation between GRIA3 and HLA-DRB5 (an AD gene). GRIA3 has not been p...
free text keywords: Research, GWAS, Multi-SNP GWAS, Alzheimer’s disease, Epistasis, Biochemistry, Molecular Biology, Computer Science Applications
Funded by
  • Funder: Canadian Institutes of Health Research (CIHR)
NIH| Alzheimers Disease Neuroimaging Initiative
  • Funder: National Institutes of Health (NIH)
  • Project Code: 1U01AG024904-01
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