Literature DB >> 9837839

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

N H Chapman1, E M Wijsman.   

Abstract

Linkage disequilibrium (LD) testing has become a popular and effective method of fine-scale disease-gene localization. It has been proposed that LD testing could also be used for genome screening, particularly as dense maps of diallelic markers become available and automation allows inexpensive genotyping of diallelic markers. We compare diallelic markers and multiallelic markers in terms of sample sizes required for detection of LD, by use of a single marker locus in a case-control study, for rare monophyletic diseases with Mendelian inheritance. We extrapolate from our results to discuss the feasibility of single-marker LD screening in more-complex situations. We have used a deterministic population genetic model to calculate the expected power to detect LD as a function of marker density, age of mutation, number of marker alleles, mode of inheritance of a rare disease, and sample size. Our calculations show that multiallelic markers always have more power to detect LD than do diallelic markers (under otherwise equivalent conditions) and that the ratio of the number of diallelic to the number of multiallelic markers needed for equivalent power increases with mutation age and complexity of mode of inheritance. Power equivalent to that achieved by a multiallelic screen can theoretically be achieved by use of a more dense diallelic screen, but mapping panels of the necessary resolution are not currently available and may be difficult to achieve. Genome screening that uses single-marker LD testing may therefore be feasible only for young (<20 generations), rare, monophyletic Mendelian diseases, such as may be found in rapidly growing genetic isolates.

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Year:  1998        PMID: 9837839      PMCID: PMC1377658          DOI: 10.1086/302139

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


  37 in total

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Journal:  Nat Genet       Date:  1996-10       Impact factor: 38.330

2.  Genomics and human disease--variations on variation.

Authors:  P O Brown; L Hartwell
Journal:  Nat Genet       Date:  1998-02       Impact factor: 38.330

3.  Toward localization of the Werner syndrome gene by linkage disequilibrium and ancestral haplotyping: lessons learned from analysis of 35 chromosome 8p11.1-21.1 markers.

Authors:  K A Goddard; C E Yu; J Oshima; T Miki; J Nakura; C Piussan; G M Martin; G D Schellenberg; E M Wijsman
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

4.  Improved set of short-tandem-repeat polymorphisms for screening the human genome.

Authors:  B Yuan; D Vaske; J L Weber; J Beck; V C Sheffield
Journal:  Am J Hum Genet       Date:  1997-02       Impact factor: 11.025

5.  Power studies for the transmission/disequilibrium tests with multiple alleles.

Authors:  N L Kaplan; E R Martin; B S Weir
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

6.  Ethnic-affiliation estimation by use of population-specific DNA markers.

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7.  Familial Alzheimer's disease in American descendants of the Volga Germans: probable genetic founder effect.

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8.  Genome screening by searching for shared segments: mapping a gene for benign recurrent intrahepatic cholestasis.

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9.  Limits of resolution of genetic linkage studies: implications for the positional cloning of human disease genes.

Authors:  M Boehnke
Journal:  Am J Hum Genet       Date:  1994-08       Impact factor: 11.025

10.  High-resolution linkage-disequilibrium mapping of the cartilage-hair hypoplasia gene.

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Journal:  Am J Hum Genet       Date:  1994-11       Impact factor: 11.025

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  36 in total

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Authors:  D Fallin; A Cohen; L Essioux; I Chumakov; M Blumenfeld; D Cohen; N J Schork
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2.  Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

Authors:  P C Sham; S S Cherny; S Purcell; J K Hewitt
Journal:  Am J Hum Genet       Date:  2000-04-12       Impact factor: 11.025

3.  Data mining applied to linkage disequilibrium mapping.

Authors:  H T Toivonen; P Onkamo; K Vasko; V Ollikainen; P Sevon; H Mannila; M Herr; J Kere
Journal:  Am J Hum Genet       Date:  2000-06-09       Impact factor: 11.025

4.  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

5.  Generalized T2 test for genome association studies.

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6.  Extended intermarker linkage disequilibrium in the Afrikaners.

Authors:  Diana Hall; Ellen M Wijsman; J Louw Roos; Joseph A Gogos; Maria Karayiorgou
Journal:  Genome Res       Date:  2002-06       Impact factor: 9.043

7.  Linkage-disequilibrium mapping of disease genes by reconstruction of ancestral haplotypes in founder populations.

Authors:  S K Service; D W Lang; N B Freimer; L A Sandkuijl
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

8.  Power of genome-wide linkage disequilibrium testing by using microsatellite markers.

Authors:  Jun Ohashi; Katsushi Tokunaga
Journal:  J Hum Genet       Date:  2003-08-22       Impact factor: 3.172

9.  Heterozygosities and allelic frequencies of 811 dinucleotide-repeat marker loci in the Taiwanese population.

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10.  Linkage disequilibrium between microsatellite markers in the Swedish Sami relative to a worldwide selection of populations.

Authors:  Asa Johansson; Veronika Vavruch-Nilsson; Anette Edin-Liljegren; Per Sjölander; Ulf Gyllensten
Journal:  Hum Genet       Date:  2004-11-11       Impact factor: 4.132

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