Hierarchical generalized linear models for multiple groups of rare and common variants: jointly estimating group and individual-variant effects.

Abstract excerpt

Complex diseases and traits are likely influenced by many common and rare genetic variants and environmental factors. Detecting disease susceptibility variants is a challenging task, especially when their frequencies are low and/or their effects are small or moderate. We propose here a comprehensive hierarchical generalized linear model framework for simultaneously analyzing multiple groups of rare and common...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Angiopoietins
• Share to Bayes Theorem