4.7 Article

Association screening of common and rare genetic variants by penalized regression

期刊

BIOINFORMATICS
卷 26, 期 19, 页码 2375-2382

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btq448

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资金

  1. USPHS [GM53275, MH59490, CA87949, CA16042]
  2. Breast Cancer Research Foundation
  3. American Society of Clinical Oncology

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Motivation: This article extends our recent research on penalized estimation methods in genome-wide association studies to the realm of rare variants. Results: The new strategy is tested on both simulated and real data. Our findings on breast cancer data replicate previous results and shed light on variant effects within genes.

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