Literature DB >> 9399906

Genomewide transmission/disequilibrium testing--consideration of the genotypic relative risks at disease loci.

N J Camp1.   

Abstract

Genomewide association studies are set to become the tool of the future for detection of small-effect genes in complex diseases. It will therefore be necessary to calculate sufficient sample sizes with which to perform them. In this paper I illustrate how to calculate the required number of families for general genotypic relative risks (GRRs). I show the superior sensitivity of the genomewide association study over the standard genomewide affected-sib-pair linkage analysis, for a range of different underlying GRR patterns. I also illustrate the extent of change in the sample sizes that is necessary for a genomewide association analysis depending on the pattern of the GRRs at the disease locus. In many cases, the comparative numbers of families required under different genetic mechanisms vary by several orders of magnitude. These sometimes dramatic differences have important implications for the determination of the size of the collection of samples prior to analysis and for the types of effects that are likely--and unlikely--to be detected by such an analysis.

Mesh:

Year:  1997        PMID: 9399906      PMCID: PMC1716090          DOI: 10.1086/301648

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


  10 in total

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Authors:  R S Spielman; W J Ewens
Journal:  Am J Hum Genet       Date:  1996-11       Impact factor: 11.025

2.  The future of genetic studies of complex human diseases.

Authors:  N Risch; K Merikangas
Journal:  Science       Date:  1996-09-13       Impact factor: 47.728

3.  Genetic analysis of complex diseases.

Authors:  B Müller-Myhsok; L Abel
Journal:  Science       Date:  1997-02-28       Impact factor: 47.728

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Journal:  Genet Epidemiol Suppl       Date:  1986

5.  Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results.

Authors:  E Lander; L Kruglyak
Journal:  Nat Genet       Date:  1995-11       Impact factor: 38.330

6.  The generalized sib pair IBD distribution: its use in the detection of linkage.

Authors:  B K Suarez; J Rice; T Reich
Journal:  Ann Hum Genet       Date:  1978-07       Impact factor: 1.670

7.  Insulin-IGF2 region on chromosome 11p encodes a gene implicated in HLA-DR4-dependent diabetes susceptibility.

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Journal:  Nature       Date:  1991-11-14       Impact factor: 49.962

8.  Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM).

Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

9.  Apolipoprotein E, epsilon 4 allele as a major risk factor for sporadic early and late-onset forms of Alzheimer's disease: analysis of the 19q13.2 chromosomal region.

Authors:  M C Chartier-Harlin; M Parfitt; S Legrain; J Pérez-Tur; T Brousseau; A Evans; C Berr; O Vidal; P Roques; V Gourlet
Journal:  Hum Mol Genet       Date:  1994-04       Impact factor: 6.150

10.  Susceptibility to human type 1 diabetes at IDDM2 is determined by tandem repeat variation at the insulin gene minisatellite locus.

Authors:  S T Bennett; A M Lucassen; S C Gough; E E Powell; D E Undlien; L E Pritchard; M E Merriman; Y Kawaguchi; M J Dronsfield; F Pociot
Journal:  Nat Genet       Date:  1995-03       Impact factor: 38.330

  10 in total
  22 in total

1.  Relative power of linkage and transmission disequilibrium test strategies to detect non-HLA linked coeliac disease susceptibility genes.

Authors:  S Bevan; S Popat; R S Houlston
Journal:  Gut       Date:  1999-11       Impact factor: 23.059

2.  Multipoint linkage-disequilibrium-mapping approach based on the case-parent trio design.

Authors:  K Y Liang; F C Hsu; T H Beaty; K C Barnes
Journal:  Am J Hum Genet       Date:  2001-03-15       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.  Pooled genotyping of microsatellite markers in parent-offspring trios.

Authors:  G Kirov; N Williams; P Sham; N Craddock; M J Owen
Journal:  Genome Res       Date:  2000-01       Impact factor: 9.043

5.  Population structure in admixed populations: effect of admixture dynamics on the pattern of linkage disequilibrium.

Authors:  C L Pfaff; E J Parra; C Bonilla; K Hiester; P M McKeigue; M I Kamboh; R G Hutchinson; R E Ferrell; E Boerwinkle; M D Shriver
Journal:  Am J Hum Genet       Date:  2000-12-07       Impact factor: 11.025

6.  A note on power approximations for the transmission/disequilibrium test.

Authors:  M Knapp
Journal:  Am J Hum Genet       Date:  1999-04       Impact factor: 11.025

7.  Optimized group sequential study designs for tests of genetic linkage and association in complex diseases.

Authors:  I R König; H Schäfer; H H Müller; A Ziegler
Journal:  Am J Hum Genet       Date:  2001-07-26       Impact factor: 11.025

8.  General equations for Pt, Ps, and the power of the TDT and the affected-sib-pair test.

Authors:  R McGinnis
Journal:  Am J Hum Genet       Date:  2000-09-29       Impact factor: 11.025

9.  Power calculations for a general class of family-based association tests: dichotomous traits.

Authors:  Christoph Lange; Nan M Laird
Journal:  Am J Hum Genet       Date:  2002-08-12       Impact factor: 11.025

10.  The power of the Transmission Disequilibrium Test in the presence of population stratification.

Authors:  Ronnie Sebro; John J Rogus
Journal:  Eur J Hum Genet       Date:  2010-05-05       Impact factor: 4.246

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