Estimating odds ratios in genome scans: an approximate conditional likelihood approach.

ABSTRACT: In modern whole-genome scans, the use of stringent thresholds to control the genome-wide testing error distorts the estimation process, producing estimated effect sizes that may be on average far greater in magnitude than the true effect sizes. We introduce a method, based on the estimate of genetic effect and its standard error as reported by standard statistical software, to correct for this bias in case-control association studies. Our approach is widely applicable, is far easier to implement than competing approaches, and may often be applied to published studies without access to the original data. We evaluate the performance of our approach via extensive simulations for a range of genetic models, minor allele frequencies, and genetic effect sizes. Compared to the naive estimation pro

SUBMITTER: Ghosh A 

PROVIDER: S-EPMC2665019 | biostudies-literature | 2008 May

REPOSITORIES: biostudies-literature