Ontology highlight
ABSTRACT: Motivation
Allele specific differences in molecular traits can be obtained from next generation sequencing data and could potentially improve testing power, but such information is usually overlooked in association studies. Furthermore, the variation of molecular quantitative traits (e.g., gene expression) could result from the interaction effect of genotypes and phenotypes, but it is challenging to identify such interaction signals in complex disease studies in humans due to small genetic effect sizes and/or small sample sizes.Results
We develop a novel statistical method, the combined haplotype interaction test (CHIT), which tests for association between molecular quantitative traits and phenotype-genotype interactions by modeling the total read counts and allele-specific
SUBMITTER: Yan Q
PROVIDER: S-EPMC8711119 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature