A novel joint location-scale testing framework for improved detection of variants with main or interaction effects
Methodology
2014-11-14 v1
Abstract
We propose a novel and easy-to-implement joint location-scale association testing procedure that can account for complex genetic architecture without explicitly modeling interaction effects, and is suitable for large-scale whole-genome scans and meta-analyses. We focus on Fisher's method and use it to combine evidence from the standard location test and the more recent scale test, and we describe its use for single-variant, gene-set and pathway association analyses.
Cite
@article{arxiv.1411.3690,
title = {A novel joint location-scale testing framework for improved detection of variants with main or interaction effects},
author = {David Soave and Andrew Paterson and Lisa Strug and Lei Sun},
journal= {arXiv preprint arXiv:1411.3690},
year = {2014}
}
Comments
27 pages, 4 figures and 4 tables