Literature DB >> 12938017

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

Jun Ohashi1,2, Katsushi Tokunaga1.   

Abstract

Linkage disequilibrium (LD) testing is often used in the search for disease genes. In this study, we developed a method for calculating the expected power of genome-wide LD testing by using microsatellite markers under the following assumptions: (1) microsatellite markers have unequally frequent alleles, (2) markers are equally spaced through the human genome, (3) the degree of LD between the disease variant and the marker decays gradually because of recombination and mutation, (4) the population frequency of the disease variant is low (e.g., 0.05), (5) a single-marker test is performed in a case-control study, and (6) the significance level is adjusted by the number of tests to avoid inflation of the type I error. Our calculations revealed a markedly higher power for microsatellite markers than for single nucleotide polymorphism (SNP) markers, even if more SNPs are analyzed, suggesting that the use of microsatellite markers is preferable to the use of SNPs for genome-wide screening under the above assumptions. This method will be helpful to researchers who design genome-wide LD testing with microsatellite markers.

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Year:  2003        PMID: 12938017     DOI: 10.1007/s10038-003-0058-7

Source DB:  PubMed          Journal:  J Hum Genet        ISSN: 1434-5161            Impact factor:   3.172


  7 in total

1.  The power of genome-wide association studies of complex disease genes: statistical limitations of indirect approaches using SNP markers.

Authors:  J Ohashi; K Tokunaga
Journal:  J Hum Genet       Date:  2001       Impact factor: 3.172

2.  High-resolution haplotype structure in the human genome.

Authors:  M J Daly; J D Rioux; S F Schaffner; T J Hudson; E S Lander
Journal:  Nat Genet       Date:  2001-10       Impact factor: 38.330

3.  The expected power of genome-wide linkage disequilibrium testing using single nucleotide polymorphism markers for detecting a low-frequency disease variant.

Authors:  J Ohashi; K Tokunaga
Journal:  Ann Hum Genet       Date:  2002-07       Impact factor: 1.670

4.  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

5.  Comparison of the power and accuracy of biallelic and microsatellite markers in population-based gene-mapping methods.

Authors:  M Xiong; L Jin
Journal:  Am J Hum Genet       Date:  1999-02       Impact factor: 11.025

6.  Mutational mechanisms for generating microsatellite allele-frequency distributions: an analysis of 4,558 markers.

Authors:  M Farrall; D E Weeks
Journal:  Am J Hum Genet       Date:  1998-05       Impact factor: 11.025

7.  CD36 polymorphism is associated with protection from cerebral malaria.

Authors:  Kazuya Omi; Jun Ohashi; Jintana Patarapotikul; Hathairad Hananantachai; Izumi Naka; Sornchai Looareesuwan; Katsushi Tokunaga
Journal:  Am J Hum Genet       Date:  2002-12-27       Impact factor: 11.025

  7 in total
  12 in total

1.  Mapping of susceptibility and protective loci for acute GVHD in unrelated HLA-matched bone marrow transplantation donors and recipients using 155 microsatellite markers on chromosome 22.

Authors:  Tomoki Kikuchi; Taeko K Naruse; Makoto Onizuka; Suyun Li; Tetsuaki Kimura; Akira Oka; Yasuo Morishima; Jerzy K Kulski; Shingo Ichimiya; Noriyuki Sato; Hidetoshi Inoko
Journal:  Immunogenetics       Date:  2007-01-03       Impact factor: 2.846

2.  A genome-wide association scan for asthma in a general Australian population.

Authors:  J Hui; A Oka; A James; L J Palmer; A W Musk; J Beilby; H Inoko
Journal:  Hum Genet       Date:  2008-02-06       Impact factor: 4.132

3.  Genetic and physical mapping of Melampsora rust resistance genes in Populus and characterization of linkage disequilibrium and flanking genomic sequence.

Authors:  T-M Yin; S P DiFazio; L E Gunter; S S Jawdy; W Boerjan; G A Tuskan
Journal:  New Phytol       Date:  2004-10       Impact factor: 10.151

4.  Linkage disequilibrium between STRPs and SNPs across the human genome.

Authors:  Bret A Payseur; Michael Place; James L Weber
Journal:  Am J Hum Genet       Date:  2008-05       Impact factor: 11.025

5.  Genomewide association analysis of human narcolepsy and a new resistance gene.

Authors:  Minae Kawashima; Gen Tamiya; Akira Oka; Hirohiko Hohjoh; Takeo Juji; Takashi Ebisawa; Yutaka Honda; Hidetoshi Inoko; Katsushi Tokunaga
Journal:  Am J Hum Genet       Date:  2006-06-13       Impact factor: 11.025

6.  Linkage disequilibrium and population-structure analysis among Capsicum annuum L. cultivars for use in association mapping.

Authors:  Padma Nimmakayala; Venkata L Abburi; Lavanya Abburi; Suresh Babu Alaparthi; Robert Cantrell; Minkyu Park; Doil Choi; Gerald Hankins; Sridhar Malkaram; Umesh K Reddy
Journal:  Mol Genet Genomics       Date:  2014-03-02       Impact factor: 3.291

7.  Megakaryoblastic leukemia factor-1 gene in the susceptibility to coronary artery disease.

Authors:  Kunihiko Hinohara; Toshiaki Nakajima; Michio Yasunami; Shigeru Houda; Taishi Sasaoka; Ken Yamamoto; Bok-Soo Lee; Hiroki Shibata; Yumiko Tanaka-Takahashi; Megumi Takahashi; Takuro Arimura; Akinori Sato; Taeko Naruse; Jimin Ban; Hidetoshi Inoko; Yoshiji Yamada; Motoji Sawabe; Jeong-Euy Park; Toru Izumi; Akinori Kimura
Journal:  Hum Genet       Date:  2009-06-10       Impact factor: 4.132

8.  Breakdown of phylogenetic signal: a survey of microsatellite densities in 454 shotgun sequences from 154 non model eukaryote species.

Authors:  Emese Meglécz; Gabriel Nève; Ed Biffin; Michael G Gardner
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

9.  Polymorphisms of the tissue inhibitor of metalloproteinase 3 gene are associated with resistance to high-altitude pulmonary edema (HAPE) in a Japanese population: a case control study using polymorphic microsatellite markers.

Authors:  Nobumitsu Kobayashi; Masayuki Hanaoka; Yunden Droma; Michiko Ito; Yoshihiko Katsuyama; Keishi Kubo; Masao Ota
Journal:  PLoS One       Date:  2013-08-22       Impact factor: 3.240

10.  Deciphering Genomic Regions for High Grain Iron and Zinc Content Using Association Mapping in Pearl Millet.

Authors:  N Anuradha; C Tara Satyavathi; C Bharadwaj; T Nepolean; S Mukesh Sankar; Sumer P Singh; Mahesh C Meena; Tripti Singhal; Rakesh K Srivastava
Journal:  Front Plant Sci       Date:  2017-05-01       Impact factor: 5.753

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