Journal
ANNALS OF APPLIED STATISTICS
Volume 7, Issue 1, Pages 369-390Publisher
INST MATHEMATICAL STATISTICS
DOI: 10.1214/12-AOAS586
Keywords
Genetic association study; case-control study; linear mixed model
Categories
Funding
- Wellcome Trust, as part of the Wellcome Trust Case Control Consortium 2 project [085475/B/08/Z, 085475/Z/08/Z]
- Wellcome Trust core Grant for the Wellcome Trust Centre for Human Genetics [090532/Z/09/Z]
- Medical Research Council [G0000934]
- Wellcome Trust [068545/Z/02, 095552/Z/11/Z, 097364/Z/11/Z]
- Wellcome Trust
- Wolfson Royal Society
Ask authors/readers for more resources
Motivated by genome-wide association studies, we consider a standard linear model with one additional random effect in situations where many predictors have been collected on the same subjects and each predictor is analyzed separately. Three novel contributions are (1) a transformation between the linear and log-odds scales which is accurate for the important genetic case of small effect sizes; (2) a likelihood-maximization algorithm that is an order of magnitude faster than the previously published approaches; and (3) efficient methods for computing marginal likelihoods which allow Bayesian model comparison. The methodology has been successfully applied to a large-scale association study of multiple sclerosis including over 20,000 individuals and 500,000 genetic variants.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available