A bayesian method for evaluating and discovering disease loci associations.

ABSTRACT:

Background

A genome-wide association study (GWAS) typically involves examining representative SNPs in individuals from some population. A GWAS data set can concern a million SNPs and may soon concern billions. Researchers investigate the association of each SNP individually with a disease, and it is becoming increasingly commonplace to also analyze multi-SNP associations. Techniques for handling so many hypotheses include the Bonferroni correction and recently developed bayesian methods. These methods can encounter problems. Most importantly, they are not applicable to a complex multi-locus hypothesis which has several competing hypotheses rather than only a null hypothesis. A method that computes the posterior probability of complex hypotheses is a pressing need.

Methodology/fi

SUBMITTER: Jiang X 

PROVIDER: S-EPMC3154195 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature