Literature DB >> 19797908

Program update and novel use of the DESPAIR program to design a genome-wide linkage study using relative pairs.

Heather M Ochs-Balcom1, Xiuqing Guo, Takashi Yonebayashi, Georgia Wiesner, Robert C Elston.   

Abstract

DESPAIR (DESign for PAIRs) is a computer program useful for designing a two-stage linkage study using relative pairs for a dichotomous phenotype. It determines the optimal two-stage study design - i.e., for specified power and significance level, how many pairs of relatives should be studied, how many equally spaced markers should be used initially, and what criterion should be used to specify the markers around which further searching should be done at a second stage. The program will calculate either the number of relative pairs required for a given number of first-stage markers or the number of markers required for a given number of relative pairs. We highlight the use of the latest version of DESPAIR to decide to what extent additional fine mapping in a candidate region of interest can lead to an increase in power in a previous linkage study sample. We also discuss new features of the program, such as the mean difference test for affected and discordant relative pairs and estimation of full sibling pair equivalents to design a study when several types of relative pairs are available. DESPAIR is part of the S.A.G.E. program package and is freely available for use online. Copyright 2009 S. Karger AG, Basel.

Mesh:

Year:  2009        PMID: 19797908      PMCID: PMC2880734          DOI: 10.1159/000243153

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  12 in total

1.  On the total expected study cost in two-stage genome-wide search designs for linkage analysis using the mean test for affected sib pairs.

Authors:  A Ziegler; I Böddeker; F Geller; H H Müller; X Guo
Journal:  Genet Epidemiol       Date:  2001-04       Impact factor: 2.135

2.  Two-stage global search designs for linkage analysis I: use of the mean statistic for affected sib pairs.

Authors:  X Guo; R C Elston
Journal:  Genet Epidemiol       Date:  2000-02       Impact factor: 2.135

3.  Two-stage global search designs for linkage analysis II: including discordant relative pairs in the study.

Authors:  X Guo; R C Elston
Journal:  Genet Epidemiol       Date:  2000-02       Impact factor: 2.135

4.  Linkage information content of polymorphic genetic markers.

Authors:  X Guo; R C Elston
Journal:  Hum Hered       Date:  1999-03       Impact factor: 0.444

5.  The linkage information content value of polymorphism genetic markers in model-free linkage analysis.

Authors:  Xiuqing Guo; Jane M Olson; Robert C Elston; Tianhua Niu
Journal:  Hum Hered       Date:  2002       Impact factor: 0.444

6.  Mathematical assumptions versus biological reality: myths in affected sib pair linkage analysis.

Authors:  Robert C Elston; Danhong Song; Sudha K Iyengar
Journal:  Am J Hum Genet       Date:  2004-11-11       Impact factor: 11.025

7.  Linkage strategies for genetically complex traits. II. The power of affected relative pairs.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1990-02       Impact factor: 11.025

8.  Two-stage global search designs for linkage analysis using pairs of affected relatives.

Authors:  R C Elston; X Guo; L V Williams
Journal:  Genet Epidemiol       Date:  1996       Impact factor: 2.135

9.  A comparison of sib-pair linkage tests for disease susceptibility loci.

Authors:  W C Blackwelder; R C Elston
Journal:  Genet Epidemiol       Date:  1985       Impact factor: 2.135

10.  The CHEK2 1100delC mutation identifies families with a hereditary breast and colorectal cancer phenotype.

Authors:  Hanne Meijers-Heijboer; Juul Wijnen; Hans Vasen; Marijke Wasielewski; Anja Wagner; Antoinette Hollestelle; Fons Elstrodt; Renate van den Bos; Anja de Snoo; Grace Tjon A Fat; Cecile Brekelmans; Shantie Jagmohan; Patrick Franken; Paul Verkuijlen; Ans van den Ouweland; Pamela Chapman; Carli Tops; Gabriela Möslein; John Burn; Henry Lynch; Jan Klijn; Riccardo Fodde; Mieke Schutte
Journal:  Am J Hum Genet       Date:  2003-04-10       Impact factor: 11.025

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