BRASS: Permutation methods for binary traits in genetic association studies with structured samples.

ABSTRACT: In genetic association analysis of complex traits, permutation testing can be a valuable tool for assessing significance when the distribution of the test statistic is unknown or not well-approximated. This commonly arises, e.g, in tests of gene-set, pathway or genome-wide significance, or when the statistic is formed by machine learning or data adaptive methods. Existing applications include eQTL mapping, association testing with rare variants, inclusion of admixed individuals in genetic association analysis, and epistasis detection among many others. For genetic association testing in samples with population structure and/or relatedness, use of naive permutation can lead to inflated type 1 error. To address this in quantitative traits, the MVNpermute method was developed. However, for as

SUBMITTER: Mbatchou J 

PROVIDER: S-EPMC10656004 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature