Online Program Home
My Program

Abstract Details

Activity Number: 40 - Recent Advances in Statistical Methods for Genome-Wide Association Studies
Type: Contributed
Date/Time: Sunday, July 29, 2018 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #330135
Title: Brawn and Brains: a Robust and Powerful Approach to X-Inclusive Whole-Genome Association Studies
Author(s): Bo Chen* and Lei Sun and Radu V Craiu
Companies: University of Toronto and University of Toronto and University of Toronto
Keywords: Model selection; Confounding; Genome-wide association studies; X-chromosome

X-chromosome is often excluded from whole-genome association studies due to a number of complexities. Some are apparent, e.g. sex-specific allele frequencies, sex-gene interaction effects, and the choice of (additive or other) genetic models, while others are subtler, e.g. random, skewed or no X-inactivation, and the choice of risk allele. In this work, we aim to consider all these complexities jointly and propose a regression-based association test. We provide theoretical justifications for its robustness in the presence various aforementioned model uncertainties, as well as for its improved power under certain alternatives as compared with existing approaches. For completeness, we also revisit the autosomes and show that the proposed framework leads to a robust and sometimes much more powerful test than the standard method. Finally, we provide supporting evidence from simulation and application studies.

Authors who are presenting talks have a * after their name.

Back to the full JSM 2018 program