Literature DB >> 9477339

Allele frequency distributions in pooled DNA samples: applications to mapping complex disease genes.

S H Shaw1, M M Carrasquillo, C Kashuk, E G Puffenberger, A Chakravarti.   

Abstract

Genetic studies of complex hereditary disorders require for their mapping the determination of genotypes at several hundred polymorphic loci in several hundred families. Because only a minority of markers are expected to show linkage and association in family data, a simple screen of genetic markers to identify those showing linkage in pooled DNA samples can greatly facilitate gene identification. All studies involving pooled DNA samples require the comparison of allele frequencies in appropriate family samples and subsamples. We have tested the accuracy of allele frequency estimates, in various DNA samples, by pooling DNA from multiple individuals prior to PCR amplification. We have used the ABI 377 automated DNA sequencer and GENESCAN software for quantifying total amplification using a 5' fluorescently labeled forward PCR primer and relative peak heights to estimate allele frequencies in pooled DNA samples. In these studies, we have genotyped 11 microsatellite markers in two separate DNA pools, and an additional four markers in a third DNA pool, and compared the estimated allele frequencies with those determined by direct genotyping. In addition, we have evaluated whether pooled DNA samples can be used to accurately assess allele frequencies on transmitted and untransmitted chromosomes, in a collection of families for fine-structure gene mapping using allelic association. Our studies show that accurate, quantitative data on allele frequencies, suitable for identifying markers for complex disorders, can be identified from pooled DNA samples. This approach, being independent of the number of samples comprising a pool, promises to drastically reduce the labor and cost of genotyping in the initial identification of disease loci. Additional applications of DNA pooling are discussed. These developments suggest that new statistical methods for analyzing pooled DNA data are required.

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Year:  1998        PMID: 9477339     DOI: 10.1101/gr.8.2.111

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  34 in total

1.  DNA pooling in mutation detection with reference to sequence analysis.

Authors:  C I Amos; M L Frazier; W Wang
Journal:  Am J Hum Genet       Date:  1999-03-24       Impact factor: 11.025

2.  High-throughput SNP allele-frequency determination in pooled DNA samples by kinetic PCR.

Authors:  S Germer; M J Holland; R Higuchi
Journal:  Genome Res       Date:  2000-02       Impact factor: 9.043

3.  Pooled genotyping of microsatellite markers in parent-offspring trios.

Authors:  G Kirov; N Williams; P Sham; N Craddock; M J Owen
Journal:  Genome Res       Date:  2000-01       Impact factor: 9.043

4.  Precise estimation of allele frequencies of single-nucleotide polymorphisms by a quantitative SSCP analysis of pooled DNA.

Authors:  T Sasaki; T Tahira; A Suzuki; K Higasa; Y Kukita; S Baba; K Hayashi
Journal:  Am J Hum Genet       Date:  2000-11-14       Impact factor: 11.025

5.  Loss of heterozygosity analysis using whole genome amplification, cell sorting, and fluorescence-based PCR.

Authors:  T G Paulson; P C Galipeau; B J Reid
Journal:  Genome Res       Date:  1999-05       Impact factor: 9.043

6.  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

7.  Single nucleotide polymorphism seeking long term association with complex disease.

Authors:  Brian W Kirk; Matthew Feinsod; Reyna Favis; Richard M Kliman; Francis Barany
Journal:  Nucleic Acids Res       Date:  2002-08-01       Impact factor: 16.971

8.  Constructing the parental linkage phase and the genetic map over distances <1 cM using pooled haploid DNA.

Authors:  Dario Gasbarra; Mikko J Sillanpää
Journal:  Genetics       Date:  2005-11-19       Impact factor: 4.562

9.  Overlapping pools for high-throughput targeted resequencing.

Authors:  Snehit Prabhu; Itsik Pe'er
Journal:  Genome Res       Date:  2009-05-15       Impact factor: 9.043

10.  Identification of rare alleles and their carriers using compressed se(que)nsing.

Authors:  Noam Shental; Amnon Amir; Or Zuk
Journal:  Nucleic Acids Res       Date:  2010-08-10       Impact factor: 16.971

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