journal of Histology & Histopathology

Molecular Biology and Genetic Engineering

ISSN 2053-5767
Original Research

Cross validation of pooling/resampling GWAS using the WTCCC data

Jorge I. Vélez1,2, Cameron A. Jack3, Aaron Chuah3, Bob Buckley3, Juan C. Correa4, Simon Easteal5 and Mauricio Arcos-Burgos1,2*

*Correspondence: Mauricio Arcos-Burgos Mauricio.Arcos-Burgos@anu.edu.au

1. Genomics and Predictive Medicine Group, Department of Genome Biology, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.

Author Affiliations

2. Neuroscience Research Group, University of Antioquia, Medellín, Colombia.

3. Genome Discovery Unit, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.

4. Research Group in Statistics, Department of Statistics, National University of Colombia at Medellín, Medellín, Colombia.

5. Genome Diversity and Health Group, Department of Genome Biology, John Curtin School of Medical Research, The Australian National University, Canberra, ACT, Australia.

Abstract

Recently, we presented a new method of pooling/resampling genome-wide association study (prGWAS) that uncovered new and known loci associated to Alzheimer's disease. In here, we contrast this method with the Welcome Trust Case Control Consortium (WTCCC) data, a well-known GWAS on seven human complex diseases. Our results suggest that prGWAS can be considered an efficient, specific, and accurate alternative to the conventional GWAS approach at a fraction of the genotyping cost, and provide insights into other potential applications such as next generation sequencing.

Keywords: Case/control data, GWAS, DNA pooling, prGWAS, subsampling

ISSN 2053-5767
Volume 3
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