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Chunk #1 — INTRODUCTION

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Detecting gene-environment interactions in genome-wide association data.
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The Group 10 contributions to the Genetic Analysis Workshop 16 (GAW16) used both the Framingham Heart Study (FHS) and the North American Rheumatoid Arthritis Consortium (NARAC) data to develop and/or test methods for detecting G×E interactions in GWAS data. The methods used include regression models, latent components (factor) analysis, and machine learning approaches.