TY - JOUR
T1 - Cross validation of pooling/resampling GWAS using the WTCCC data
AU - Velez, Jorge
AU - Jack, Cameron
AU - Chuah, Aaron
AU - Buckley, Bob
AU - Correa, Juan Carlos
AU - Easteal, Simon
AU - Arcos-Burgos, Mauricio (Oscar)
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
U2 - 10.7243/2053-5767-3-1
DO - 10.7243/2053-5767-3-1
M3 - Article
VL - 3
SP - 1
EP - 10
JO - Molecular Biology and Genetic Engineering
JF - Molecular Biology and Genetic Engineering
IS - 1
ER -