A pure likelihood approach to the analysis of genetic association data: an alternative to Bayesian and frequentist analysis.

ABSTRACT: Investigators performing genetic association studies grapple with how to measure strength of association evidence, choose sample size, and adjust for multiple testing. We apply the evidential paradigm (EP) to genetic association studies, highlighting its strengths. The EP uses likelihood ratios (LRs), as opposed to P-values or Bayes' factors, to measure strength of association evidence. We derive EP methodology to estimate sample size, adjust for multiple testing, and provide informative graphics for drawing inferences, as illustrated with a Rolandic Epilepsy (RE) fine-mapping study. We focus on controlling the probability of observing weak evidence for or against association (W) rather than type I errors (M). For example, for LR> or =32 representing strong evidence, at one locus with n=20

SUBMITTER: Strug LJ 

PROVIDER: S-EPMC2911506 | biostudies-literature | 2010 Aug

REPOSITORIES: biostudies-literature