Association screening of common and rare genetic variants by penalized regression
Association screening of common and rare genetic variants by penalized regression
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DOI：
10.1093/bioinformatics/btq448
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发表时间：
2010-10-01
期刊：
影响因子：
5.8
通讯作者：
Lange, Kenneth
中科院分区：
文献类型：
--
作者：
Zhou, Hua;Sehl, Mary E.;Lange, Kenneth
动机：本文扩展了我们最近的研究惩罚估计方法在全基因组关联studies领域的罕见variants.Results：新的策略进行了测试，模拟和真实的数据。我们对乳腺癌数据的发现重复了以前的结果，并揭示了基因内的变异效应。
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.