Journal
AMERICAN JOURNAL OF HUMAN GENETICS
Volume 92, Issue 6, Pages 1008-1012Publisher
CELL PRESS
DOI: 10.1016/j.ajhg.2013.05.002
Keywords
-
Categories
Funding
- NIGMS NIH HHS [P01 GM099568] Funding Source: Medline
Ask authors/readers for more resources
We performed risk assessment for Crohn's disease (CD) and ulcerative colitis (UC), the two common forms of inflammatory bowel disease (IBD), by using data from the International IBD Genetics Consortium's Immunochip project. This data set contains similar to 17,000 CD cases, similar to 13,000 UC cases, and similar to 22,000 controls from 15 European countries typed on the Immunochip. This custom chip provides a more comprehensive catalog of the most promising candidate variants by picking up the remaining common variants and certain rare variants that were missed in the first generation of GWAS. Given this unprecedented large sample size and wide variant spectrum, we employed the most recent machine-learning techniques to build optimal predictive models. Our final predictive models achieved areas under the curve (AUCs) of 0.86 and 0.83 for CD and UC, respectively, in an independent evaluation. To our knowledge, this is the best prediction performance ever reported for CD and UC to date.
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