Ontology highlight
ABSTRACT:
SUBMITTER: Lee SH
PROVIDER: S-EPMC3747270 | biostudies-literature | 2013
REPOSITORIES: biostudies-literature
Lee Sang Hong SH Wray Naomi R NR
PloS one 20130819 8
Genome-wide association studies (GWAS) are routinely conducted for both quantitative and binary (disease) traits. We present two analytical tools for use in the experimental design of GWAS. Firstly, we present power calculations quantifying power in a unified framework for a range of scenarios. In this context we consider the utility of quantitative scores (e.g. endophenotypes) that may be available on cases only or both cases and controls. Secondly, we consider, the accuracy of prediction of ge ...[more]