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Article

Large sample size, wide variant spectrum, and advanced machine-learning technique boost risk prediction for inflammatory bowel disease.

American journal of human genetics - 6 Jun 2013

Wei Zhi, Wang Wei, Bradfield Jonathan, Li Jin, Cardinale Christopher, Frackelton Edward, Kim Cecilia, Mentch Frank, Van Steen Kristel, Visscher Peter M, Baldassano Robert N, Hakonarson Hakon

Abstract excerpt

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 ~17,000 CD cases, ~13,000 UC cases, and ~22,000 controls from 15 European countries typed on the Immunochip. This custom chip provides a more comprehensive catalog of...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 23731541
DOI: 10.1016/j.ajhg.2013.05.002
PMCID: PMC3675261

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