Literature DB >> 15824170

A DNA pooling strategy for family-based association studies.

Wen-Chung Lee1.   

Abstract

Genome-wide association scans for disease susceptibility genes of complex diseases require genotyping on a massive scale. A DNA pooling strategy for family-based association studies is described, which is robust to population stratification biases and to errors in pooling. It can achieve a statistical efficiency of 0.95 with approximately 1 of 8 or fewer genotyping efforts, and an efficiency of 0.90 with approximately 1 of 16 or fewer efforts compared with individual genotyping. The pooling method described in this article provides a tradeoff between genotyping efforts and subject recruitment efforts.

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Year:  2005        PMID: 15824170     DOI: 10.1158/1055-9965.EPI-04-0503

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  4 in total

1.  Disentangling pooled triad genotypes for association studies.

Authors:  Min Shi; David M Umbach; Clarice R Weinberg
Journal:  Ann Hum Genet       Date:  2014-06-24       Impact factor: 1.670

2.  An optimal DNA pooling strategy for progressive fine mapping.

Authors:  Xiao-Fei Chi; Xiang-Yang Lou; Mark C K Yang; Qing-Yao Shu
Journal:  Genetica       Date:  2008-05-28       Impact factor: 1.633

Review 3.  Two-phase and family-based designs for next-generation sequencing studies.

Authors:  Duncan C Thomas; Zhao Yang; Fan Yang
Journal:  Front Genet       Date:  2013-12-13       Impact factor: 4.599

4.  A permutation test for oligoset DNA pooling studies.

Authors:  Hsiao-Yuan Huang; Jui-Hsiang Lin; Wen-Chung Lee
Journal:  PLoS One       Date:  2015-03-12       Impact factor: 3.240

  4 in total

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