Literature DB >> 12844283

A 3.9-centimorgan-resolution human single-nucleotide polymorphism linkage map and screening set.

Tara C Matise1, Ravi Sachidanandam, Andrew G Clark, Leonid Kruglyak, Ellen Wijsman, Jerzy Kakol, Steven Buyske, Buena Chui, Patrick Cohen, Claudia de Toma, Margaret Ehm, Stephen Glanowski, Chunsheng He, Jeremy Heil, Kyriacos Markianos, Ivy McMullen, Margaret A Pericak-Vance, Arkadiy Silbergleit, Lincoln Stein, Michael Wagner, Alexander F Wilson, Jeffrey D Winick, Emily S Winn-Deen, Carl T Yamashiro, Howard M Cann, Eric Lai, Arthur L Holden.   

Abstract

Recent advances in technologies for high-throughout single-nucleotide polymorphism (SNP)-based genotyping have improved efficiency and cost so that it is now becoming reasonable to consider the use of SNPs for genomewide linkage analysis. However, a suitable screening set of SNPs and a corresponding linkage map have yet to be described. The SNP maps described here fill this void and provide a resource for fast genome scanning for disease genes. We have evaluated 6,297 SNPs in a diversity panel composed of European Americans, African Americans, and Asians. The markers were assessed for assay robustness, suitable allele frequencies, and informativeness of multi-SNP clusters. Individuals from 56 Centre d'Etude du Polymorphisme Humain pedigrees, with >770 potentially informative meioses altogether, were genotyped with a subset of 2,988 SNPs, for map construction. Extensive genotyping-error analysis was performed, and the resulting SNP linkage map has an average map resolution of 3.9 cM, with map positions containing either a single SNP or several tightly linked SNPs. The order of markers on this map compares favorably with several other linkage and physical maps. We compared map distances between the SNP linkage map and the interpolated SNP linkage map constructed by the deCode Genetics group. We also evaluated cM/Mb distance ratios in females and males, along each chromosome, showing broadly defined regions of increased and decreased rates of recombination. Evaluations indicate that this SNP screening set is more informative than the Marshfield Clinic's commonly used microsatellite-based screening set.

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Year:  2003        PMID: 12844283      PMCID: PMC1180367          DOI: 10.1086/377137

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  42 in total

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Authors:  A F Wilson; A J Sorant
Journal:  Am J Hum Genet       Date:  2000-04-04       Impact factor: 11.025

2.  Allegro, a new computer program for multipoint linkage analysis.

Authors:  D F Gudbjartsson; K Jonasson; M L Frigge; A Kong
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

3.  Initial sequencing and analysis of the human genome.

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Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

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Authors:  J L Weber; K W Broman
Journal:  Adv Genet       Date:  2001       Impact factor: 1.944

5.  Bias in multipoint linkage analysis arising from map misspecification.

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Journal:  Genet Epidemiol       Date:  2000-12       Impact factor: 2.135

6.  PedCheck: a program for identification of genotype incompatibilities in linkage analysis.

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Journal:  Am J Hum Genet       Date:  1998-07       Impact factor: 11.025

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Journal:  Nature       Date:  2001-02-15       Impact factor: 49.962

8.  Mutation analysis of the spastin gene (SPG4) in patients with hereditary spastic paraparesis.

Authors:  J C Lindsey; M E Lusher; C J McDermott; K D White; E Reid; D C Rubinsztein; R Bashir; J Hazan; P J Shaw; K M Bushby
Journal:  J Med Genet       Date:  2000-10       Impact factor: 6.318

9.  Comprehensive human genetic maps: individual and sex-specific variation in recombination.

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Journal:  Am J Hum Genet       Date:  1998-09       Impact factor: 11.025

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Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

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  50 in total

1.  The SNP Consortium website: past, present and future.

Authors:  Gudmundur A Thorisson; Lincoln D Stein
Journal:  Nucleic Acids Res       Date:  2003-01-01       Impact factor: 16.971

2.  A population-genetic test of founder effects and implications for Ashkenazi Jewish diseases.

Authors:  Montgomery Slatkin
Journal:  Am J Hum Genet       Date:  2004-06-18       Impact factor: 11.025

3.  Guidelines for genotyping in genomewide linkage studies: single-nucleotide-polymorphism maps versus microsatellite maps.

Authors:  David M Evans; Lon R Cardon
Journal:  Am J Hum Genet       Date:  2004-08-13       Impact factor: 11.025

4.  Reconstituting the frequency spectrum of ascertained single-nucleotide polymorphism data.

Authors:  Rasmus Nielsen; Melissa J Hubisz; Andrew G Clark
Journal:  Genetics       Date:  2004-09-15       Impact factor: 4.562

5.  Sequence-based linkage analysis.

Authors:  Itay Furman; Mark J Rieder; Suzanne Da Ponte; Dana P Carrington; Deborah A Nickerson; Leonid Kruglyak; Kyriacos Markianos
Journal:  Am J Hum Genet       Date:  2004-08-25       Impact factor: 11.025

6.  Handling marker-marker linkage disequilibrium: pedigree analysis with clustered markers.

Authors:  Gonçalo R Abecasis; Janis E Wigginton
Journal:  Am J Hum Genet       Date:  2005-09-20       Impact factor: 11.025

7.  A combined linkage-physical map of the human genome.

Authors:  X Kong; K Murphy; T Raj; C He; P S White; T C Matise
Journal:  Am J Hum Genet       Date:  2004-10-14       Impact factor: 11.025

8.  Sex, not genotype, determines recombination levels in mice.

Authors:  Audrey Lynn; Stefanie Schrump; Jonathan Cherry; Terry Hassold; Patricia Hunt
Journal:  Am J Hum Genet       Date:  2005-08-17       Impact factor: 11.025

9.  Polymorphic variation in human meiotic recombination.

Authors:  Vivian G Cheung; Joshua T Burdick; Deborah Hirschmann; Michael Morley
Journal:  Am J Hum Genet       Date:  2007-01-23       Impact factor: 11.025

10.  In silico method for inferring genotypes in pedigrees.

Authors:  Joshua T Burdick; Wei-Min Chen; Gonçalo R Abecasis; Vivian G Cheung
Journal:  Nat Genet       Date:  2006-08-20       Impact factor: 38.330

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