Literature DB >> 1531472

Identification of clusters of biallelic polymorphic sequence-tagged sites (pSTSs) that generate highly informative and automatable markers for genetic linkage mapping.

D A Nickerson1, C Whitehurst, C Boysen, P Charmley, R Kaiser, L Hood.   

Abstract

Using a combination of denaturing gradient gel electrophoresis and direct DNA sequencing, we have found that multiple (4 to 7) biallelic sequence polymorphisms can be located within short DNA segments, 300 to 2400 bp. Here, we report on the identification of three clusters of DNA polymorphisms, one in each of the constant regions of the human T cell receptor alpha and beta gene complexes on human chromosomes 14 and 7, respectively, and a third among the human t-RNA genes on human chromosome 14. The frequency of these polymorphisms and the extent of linkage disequilibrium between individual polymorphisms have been determined using a semiautomated DNA typing system combining DNA target amplification by the polymerase chain reaction with the analysis of internal sequence polymorphisms by a colorimetric oligonucleotide ligation assay. We have found that individual biallelic polymorphisms in each cluster are often in partial linkage disequilibrium with one another. This partial linkage disequilibrium permits the combined use of three to four markers in a cluster to generate a haplotype with high levels of heterozygosity, 71 to 88%. Therefore, clusters of physically linked biallelic polymorphisms provide an automatable and highly informative type of genetic marker for general linkage analysis as well as an attractive alternative marker system for fine-point mapping of disease-causing genes and phenotypic traits relative to their framework locations in the genome.

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Year:  1992        PMID: 1531472     DOI: 10.1016/0888-7543(92)90388-9

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  14 in total

1.  Linkage disequilibrium and allele-frequency distributions for 114 single-nucleotide polymorphisms in five populations.

Authors:  K A Goddard; P J Hopkins; J M Hall; J S Witte
Journal:  Am J Hum Genet       Date:  2000-01       Impact factor: 11.025

2.  Channel glass-based detection of human short insertion/deletion polymorphisms by tandem hybridization.

Authors:  Gabriel Betanzos-Cabrera; Brent W Harker; Mitchel J Doktycz; James L Weber; Kenneth L Beattie
Journal:  Mol Biotechnol       Date:  2007-10-12       Impact factor: 2.695

3.  Genome screens using linkage disequilibrium tests: optimal marker characteristics and feasibility.

Authors:  N H Chapman; E M Wijsman
Journal:  Am J Hum Genet       Date:  1998-12       Impact factor: 11.025

4.  Multiplex genotype determination at a large number of gene loci.

Authors:  Z Lin; X Cui; H Li
Journal:  Proc Natl Acad Sci U S A       Date:  1996-03-19       Impact factor: 11.205

5.  The use of denaturing gradient gel electrophoresis in mapping the bovine tumor necrosis factor alpha gene locus.

Authors:  D H Lester; G C Russell; W Barendse; J L Williams
Journal:  Mamm Genome       Date:  1996-03       Impact factor: 2.957

6.  Testing the feasibility of DNA typing for human identification by PCR and an oligonucleotide ligation assay.

Authors:  C Delahunty; W Ankener; Q Deng; J Eng; D A Nickerson
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

7.  PolyPhred: automating the detection and genotyping of single nucleotide substitutions using fluorescence-based resequencing.

Authors:  D A Nickerson; V O Tobe; S L Taylor
Journal:  Nucleic Acids Res       Date:  1997-07-15       Impact factor: 16.971

8.  Transmission-disequilibrium tests for quantitative traits.

Authors:  D B Allison
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

9.  Frequent recombination in the human T-cell receptor beta gene complex.

Authors:  C E Day; K Schmitt; M A Robinson
Journal:  Immunogenetics       Date:  1994       Impact factor: 2.846

10.  Polymorphism detection and sequence analysis of human T-cell receptor V alpha-chain-encoding gene segments.

Authors:  P Charmley; D Nickerson; L Hood
Journal:  Immunogenetics       Date:  1994       Impact factor: 2.846

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