https://scholars.lib.ntu.edu.tw/handle/123456789/521732
標題: | A triple combination strategy corrects population stratification bias and saves genotyping cost | 作者: | Huang H.-Y. WEN-CHUNG LEE |
公開日期: | 2011 | 出版社: | Elsevier USA | 卷: | 64 | 期: | 5 | 起(迄)頁: | 517-524 | 來源出版物: | Journal of Clinical Epidemiology | 摘要: | Objective: The case-control association study has gained popularity for mapping disease-susceptibility gene(s) of complex human diseases. However, the study is prone to population stratification bias. Study Design and Setting: The authors proposed a triple combination strategy of stratum matching, genomic control, and multiple DNA pooling for population-based case-control association studies. Monte Carlo simulation showed that the type I error rates are well controlled using this strategy. Results: As for power, it increases under the following situations: (1) more accurate stratum matching, (2) more null markers for genomic control, (3) more DNA pooling sets, and (4) more accurate DNA pooling measurement. Conclusion: The triple combination strategy corrects population stratification bias and saves genotyping cost. ? 2011 Elsevier Inc. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-79953285651&doi=10.1016%2fj.jclinepi.2010.07.004&partnerID=40&md5=8ddae92bad5f41ac6a635c50f7930c68 https://scholars.lib.ntu.edu.tw/handle/123456789/521732 |
ISSN: | 0895-4356 | DOI: | 10.1016/j.jclinepi.2010.07.004 | SDG/關鍵字: | accuracy; base mispairing; control; cost; DNA screening; genome; genotype; human; population based case control study; priority journal; review; stratified sample; study design; systematic error; triple combination strategy |
顯示於: | 流行病學與預防醫學研究所 |
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