SCAMPI: A scalable statistical framework for genome-wide interaction testing harnessing cross-trait correlations.

ABSTRACT: Family-based heritability estimates of complex traits are often considerably larger than their single-nucleotide polymorphism (SNP) heritability estimates. This discrepancy may be due to non-additive effects of genetic variation, including variation that interacts with other genes or environmental factors to influence the trait. Variance-based procedures provide a computationally efficient strategy to screen for SNPs with potential interaction effects without requiring the specification of the interacting variable. While valuable, such variance-based tests consider only a single trait and ignore likely pleiotropy among related traits that, if present, could improve power to detect such interaction effects. To fill this gap, we propose SCAMPI (Scalable Cauchy Aggregate test using Multiple P

SUBMITTER: Bian S 

PROVIDER: S-EPMC11418984 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature