Unbiased estimation of odds ratios: combining genomewide association scans with replication studies.

ABSTRACT: Odds ratios or other effect sizes estimated from genome scans are upwardly biased, because only the top-ranking associations are reported, and moreover only if they reach a defined level of significance. No unbiased estimate exists based on data selected in this fashion, but replication studies are routinely performed that allow unbiased estimation of the effect sizes. Estimation based on replication data alone is inefficient in the sense that the initial scan could, in principle, contribute information on the effect size. We propose an unbiased estimator combining information from both the initial scan and the replication study, which is more efficient than that based just on the replication. Specifically, we adjust the standard combined estimate to allow for selection by rank and signifi

SUBMITTER: Bowden J 

PROVIDER: S-EPMC2726957 | biostudies-literature | 2009 Jul

REPOSITORIES: biostudies-literature