Ontology highlight
ABSTRACT:
SUBMITTER: Naylor MG
PROVIDER: S-EPMC3525193 | biostudies-literature | 2009 Jul
REPOSITORIES: biostudies-literature
Naylor Melissa G MG Weiss Scott T ST Lange Christoph C
Human genomics 20090701 4
Genetic association studies of complex traits often rely on standardised quantitative phenotypes, such as percentage of predicted forced expiratory volume and body mass index to measure an underlying trait of interest (eg lung function, obesity). These phenotypes are appealing because they provide an easy mechanism for comparing subjects, although such standardisations may not be the best way to control for confounders and other covariates. We recommend adjusting raw or standardised phenotypes w ...[more]