Literature DB >> 12508258

On the use of DNA pooling to estimate haplotype frequencies.

Shuang Wang1, Kenneth K Kidd, Hongyu Zhao.   

Abstract

Genome-wide association studies may be necessary to identify genes underlying certain complex diseases. Because such studies can be extremely expensive, DNA pooling has been introduced, as it may greatly reduce the genotyping burden. Parallel to DNA pooling developments, the importance of haplotypes in genetic studies has been amply demonstrated in the literature. However, DNA pooling of a large number of samples may lose haplotype information among tightly linked genetic markers. Here, we examine the cost-effectiveness of DNA pooling in the estimation of haplotype frequencies from population data. When the maximum likelihood estimates of haplotype frequencies are obtained from pooled samples, we compare the overall cost of the study, including both DNA collection and marker genotyping, between the individual genotyping strategy and the DNA pooling strategy. We find that the DNA pooling of two individuals can be more cost-effective than individual genotypings, especially when a large number of haplotype systems are studied. Copyright 2003 Wiley-Liss, Inc.

Mesh:

Year:  2003        PMID: 12508258     DOI: 10.1002/gepi.10195

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


  19 in total

1.  Efficiency of single-nucleotide polymorphism haplotype estimation from pooled DNA.

Authors:  Yaning Yang; Jingshan Zhang; Josephine Hoh; Fumihiko Matsuda; Peng Xu; Mark Lathrop; Jurg Ott
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-30       Impact factor: 11.205

2.  Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies.

Authors:  Kui Zhang; Zhaohui S Qin; Jun S Liu; Ting Chen; Michael S Waterman; Fengzhu Sun
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

3.  Family-based association tests for different family structures using pooled DNA.

Authors:  Guohua Zou; Hongyu Zhao
Journal:  Ann Hum Genet       Date:  2005-07       Impact factor: 1.670

4.  Multimarker analysis and imputation of multiple platform pooling-based genome-wide association studies.

Authors:  Nils Homer; Waibhav D Tembe; Szabolcs Szelinger; Margot Redman; Dietrich A Stephan; John V Pearson; Stanley F Nelson; David Craig
Journal:  Bioinformatics       Date:  2008-07-10       Impact factor: 6.937

5.  Optimal DNA pooling-based two-stage designs in case-control association studies.

Authors:  Yihong Zhao; Shuang Wang
Journal:  Hum Hered       Date:  2008-10-17       Impact factor: 0.444

6.  PDA: Pooled DNA analyzer.

Authors:  Hsin-Chou Yang; Chia-Ching Pan; Chin-Yu Lin; Cathy S J Fann
Journal:  BMC Bioinformatics       Date:  2006-04-28       Impact factor: 3.169

7.  Evaluation of DNA pooling for the estimation of microsatellite allele frequencies: a case study using striped bass (Morone saxatilis).

Authors:  Garrick T Skalski; Charlene R Couch; Amber F Garber; Bruce S Weir; Craig V Sullivan
Journal:  Genetics       Date:  2006-04-02       Impact factor: 4.562

8.  Testing linkage disequilibrium from pooled DNA: a contingency table perspective.

Authors:  Jinfeng Xu; Yaning Yang; Zhiliang Ying; Jurg Ott
Journal:  Stat Med       Date:  2008-12-10       Impact factor: 2.373

9.  A survey on haplotyping algorithms for tightly linked markers.

Authors:  Jing Li; Tao Jiang
Journal:  J Bioinform Comput Biol       Date:  2008-02       Impact factor: 1.122

10.  Two-stage designs for gene-disease association studies with sample size constraints.

Authors:  Jaya M Satagopan; E S Venkatraman; Colin B Begg
Journal:  Biometrics       Date:  2004-09       Impact factor: 2.571

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