Literature DB >> 20718042

Pooled versus individual genotyping in a breast cancer genome-wide association study.

Ying Huang1, David A Hinds, Lihong Qi, Ross L Prentice.   

Abstract

We examine the measurement properties of pooled DNA odds ratio estimates for 7,357 single nucleotide polymorphisms (SNPs) genotyped in a genome-wide association study of postmenopausal breast cancer. This study involved DNA pools formed from 125 cases or 125 matched controls. Individual genotyping for these SNPs subsequently came available for a substantial majority of women included in seven pool pairs, providing the opportunity for a comparison of pooled DNA and individual odds ratio estimates and their variances. We find that the "per minor allele" odds ratio estimates from the pooled DNA comparisons agree fairly well with those from individual genotyping. Furthermore, the log-odds ratio variance estimates support a pooled DNA measurement model that we previously described, although with somewhat greater extra-binomial variation than was hypothesized in project design. Implications for the role of pooled DNA comparisons in the future genetic epidemiology research agenda are discussed. (c) 2010 Wiley-Liss, Inc.

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Year:  2010        PMID: 20718042      PMCID: PMC3045656          DOI: 10.1002/gepi.20517

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  26 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2002-12-13       Impact factor: 11.205

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4.  Streamlined analysis of pooled genotype data in SNP-based association studies.

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Journal:  Genet Epidemiol       Date:  2005-04       Impact factor: 2.135

5.  Rapid inexpensive genome-wide association using pooled whole blood.

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Authors:  Ross L Prentice; Ying Huang; David A Hinds; Ulrike Peters; David R Cox; Erica Beilharz; Rowan T Chlebowski; Jacques E Rossouw; Bette Caan; Dennis G Ballinger
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Journal:  Nature       Date:  2007-06-28       Impact factor: 49.962

10.  Highly cost-efficient genome-wide association studies using DNA pools and dense SNP arrays.

Authors:  Stuart Macgregor; Zhen Zhen Zhao; Anjali Henders; Martin G Nicholas; Grant W Montgomery; Peter M Visscher
Journal:  Nucleic Acids Res       Date:  2008-02-14       Impact factor: 16.971

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  6 in total

1.  Specimen pooling for efficient use of biospecimens in studies of time to a common event.

Authors:  Paramita Saha-Chaudhuri; Clarice R Weinberg
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2.  An evaluation of allele frequency estimation accuracy using pooled sequencing data.

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Journal:  Int J Comput Biol Drug Des       Date:  2013-09-30

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5.  Evaluation of allele frequency estimation using pooled sequencing data simulation.

Authors:  Yan Guo; David C Samuels; Jiang Li; Travis Clark; Chung-I Li; Yu Shyr
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Review 6.  Two-phase and family-based designs for next-generation sequencing studies.

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