Literature DB >> 12647259

Genome association studies of complex diseases by case-control designs.

Ruzong Fan1, Michael Knapp.   

Abstract

One way to perform linkage-disequilibrium (LD) mapping of genetic traits is to use single markers. Since dense marker maps-such as single-nucleotide polymorphism and high-resolution microsatellite maps-are available, it is natural and practical to generalize single-marker LD mapping to high-resolution haplotype or multiple-marker LD mapping. This article investigates high-resolution LD-mapping methods, for complex diseases, based on haplotype maps or microsatellite marker maps. The objective is to explore test statistics that combine information from haplotype blocks or multiple markers. Based on two coding methods, genotype coding and haplotype coding, Hotelling's T2 statistics TG and TH are proposed to test the association between a disease locus and two haplotype blocks or two markers. The validity of the two T2 statistics is proved by theoretical calculations. A statistic TC, an extension of the traditional chi2 method of comparing haplotype frequencies, is introduced by simply adding the chi2 test statistics of the two haplotype blocks together. The merit of the three methods is explored by calculation and comparison of power and of type I errors. In the presence of LD between the two blocks, the type I error of TC is higher than that of TH and TG, since TC ignores the correlation between the two blocks. For each of the three statistics, the power of using two haplotype blocks is higher than that of using only one haplotype block. By power comparison, we notice that TC has higher power than that of TH, and TH has higher power than that of TG. In the absence of LD between the two blocks, the power of TC is similar to that of TH and higher than that of TG. Hence, we advocate use of TH in the data analysis. In the presence of LD between the two blocks, TH takes into account the correlation between the two haplotype blocks and has a lower type I error and higher power than TG. Besides, the feasibility of the methods is shown by sample-size calculation.

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Year:  2003        PMID: 12647259      PMCID: PMC1180349          DOI: 10.1086/373966

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


  22 in total

1.  Haplotype variation and linkage disequilibrium in 313 human genes.

Authors:  J C Stephens; J A Schneider; D A Tanguay; J Choi; T Acharya; S E Stanley; R Jiang; C J Messer; A Chew; J H Han; J Duan; J L Carr; M S Lee; B Koshy; A M Kumar; G Zhang; W R Newell; A Windemuth; C Xu; T S Kalbfleisch; S L Shaner; K Arnold; V Schulz; C M Drysdale; K Nandabalan; R S Judson; G Ruano; G F Vovis
Journal:  Science       Date:  2001-07-12       Impact factor: 47.728

2.  Islands of linkage disequilibrium.

Authors:  D B Goldstein
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

3.  Linkage disequilibrium in the human genome.

Authors:  D E Reich; M Cargill; S Bolk; J Ireland; P C Sabeti; D J Richter; T Lavery; R Kouyoumjian; S F Farhadian; R Ward; E S Lander
Journal:  Nature       Date:  2001-05-10       Impact factor: 49.962

4.  Issues concerning association studies for fine mapping a susceptibility gene for a complex disease.

Authors:  N Kaplan; R Morris
Journal:  Genet Epidemiol       Date:  2001-05       Impact factor: 2.135

5.  Haplotypes vs single marker linkage disequilibrium tests: what do we gain?

Authors:  J Akey; L Jin; M Xiong
Journal:  Eur J Hum Genet       Date:  2001-04       Impact factor: 4.246

6.  Use of parents, sibs, and unrelated controls for detection of associations between genetic markers and disease.

Authors:  D J Schaid; C Rowland
Journal:  Am J Hum Genet       Date:  1998-11       Impact factor: 11.025

7.  Detecting marker-disease association by testing for Hardy-Weinberg disequilibrium at a marker locus.

Authors:  D M Nielsen; M G Ehm; B S Weir
Journal:  Am J Hum Genet       Date:  1998-11       Impact factor: 11.025

8.  A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms.

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

9.  High-resolution multipoint linkage-disequilibrium mapping in the context of a human genome sequence.

Authors:  B Rannala; J P Reeve
Journal:  Am J Hum Genet       Date:  2001-06-15       Impact factor: 11.025

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

Authors:  K W Broman; J C Murray; V C Sheffield; R L White; J L Weber
Journal:  Am J Hum Genet       Date:  1998-09       Impact factor: 11.025

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  31 in total

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Journal:  Hum Hered       Date:  2010-04-23       Impact factor: 0.444

3.  Power of single- vs. multi-marker tests of association.

Authors:  Xuefeng Wang; Nathan J Morris; Daniel J Schaid; Robert C Elston
Journal:  Genet Epidemiol       Date:  2012-05-30       Impact factor: 2.135

4.  Nonparametric tests of association of multiple genes with human disease.

Authors:  Daniel J Schaid; Shannon K McDonnell; Scott J Hebbring; Julie M Cunningham; Stephen N Thibodeau
Journal:  Am J Hum Genet       Date:  2005-03-22       Impact factor: 11.025

5.  Rapid simulation of P values for product methods and multiple-testing adjustment in association studies.

Authors:  S R Seaman; B Müller-Myhsok
Journal:  Am J Hum Genet       Date:  2005-01-11       Impact factor: 11.025

6.  Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression.

Authors:  Fang Han; Wei Pan
Journal:  Genet Epidemiol       Date:  2010-11       Impact factor: 2.135

7.  A fast multilocus test with adaptive SNP selection for large-scale genetic-association studies.

Authors:  Han Zhang; Jianxin Shi; Faming Liang; William Wheeler; Rachael Stolzenberg-Solomon; Kai Yu
Journal:  Eur J Hum Genet       Date:  2013-09-11       Impact factor: 4.246

8.  Association of candidate genes with antisocial drug dependence in adolescents.

Authors:  Robin P Corley; Joanna S Zeiger; Thomas Crowley; Marissa A Ehringer; John K Hewitt; Christian J Hopfer; Jeffrey Lessem; Matthew B McQueen; Soo Hyun Rhee; Andrew Smolen; Michael C Stallings; Susan E Young; Kenneth Krauter
Journal:  Drug Alcohol Depend       Date:  2008-04-01       Impact factor: 4.492

9.  A unified framework for detecting genetic association with multiple SNPs in a candidate gene or region: contrasting genotype scores and LD patterns between cases and controls.

Authors:  Wei Pan
Journal:  Hum Hered       Date:  2009-10-02       Impact factor: 0.444

10.  Asymptotic tests of association with multiple SNPs in linkage disequilibrium.

Authors:  Wei Pan
Journal:  Genet Epidemiol       Date:  2009-09       Impact factor: 2.135

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