Literature DB >> 9811421

Strategy for mapping minor histocompatibility genes involved in graft-versus-host disease: a novel application of discordant sib pair methodology.

K L Lunetta1, J J Rogus.   

Abstract

We introduce a novel application for linkage analysis: using bone marrow donor-recipient sib pairs to search for genes influential in graft-versus-host disease (GVHD), a major cause of morbidity and mortality following allogeneic bone marrow transplantation. In particular, we show that transplant sib pairs in which the recipient developed severe GVHD can be used to map genes in the same way as traditional discordant (affected/unaffected) sib pairs (DSPs). For a plausible GVHD model, we demonstrate that the transplant/discordant sib pair analog of the "possible triangle test" [Holmans (1993) Am J Hum Genet 52:362-374] has similar power to that of the simpler "restricted test" proposed by Risch [(1990b) Am J Hum Genet 46:229-241; (1992) Am J Hum Genet 51:673-675]. Moreover, we show that the restricted test has superior power in much of the DSP possible triangle and significantly inferior power in only a small region. Thus, we conclude that the restricted test is preferable for localizing genes with transplant/discordant sib pairs. Finally, we examine the effects of heterogeneity on the power to detect GVHD loci and demonstrate the gain in efficiency by dividing the sample into genetically more homogeneous subgroups.

Entities:  

Mesh:

Substances:

Year:  1998        PMID: 9811421     DOI: 10.1002/(SICI)1098-2272(1998)15:6<595::AID-GEPI4>3.0.CO;2-4

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  7 in total

1.  A general conditional-logistic model for affected-relative-pair linkage studies.

Authors:  J M Olson
Journal:  Am J Hum Genet       Date:  1999-12       Impact factor: 11.025

2.  Analysis of affected sib pairs, with covariates--with and without constraints.

Authors:  C M Greenwood; S B Bull
Journal:  Am J Hum Genet       Date:  1999-03       Impact factor: 11.025

3.  A novel framework for sib pair linkage analysis.

Authors:  G David Poznik; Katarzyna Adamska; Xin Xu; Andrzej S Krolewski; John J Rogus
Journal:  Am J Hum Genet       Date:  2005-12-08       Impact factor: 11.025

4.  An extreme-sib-pair genome scan for genes regulating blood pressure.

Authors:  X Xu; J J Rogus; H A Terwedow; J Yang; Z Wang; C Chen; T Niu; B Wang; H Xu; S Weiss; N J Schork; Z Fang
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

5.  Power of association test for detecting minor histocompatibility gene causing graft-versus-host disease following bone marrow transplantation [correction].

Authors:  Jun Ohashi; Etsuko Maruya; Katsushi Tokunaga; Hiroh Saji
Journal:  J Hum Genet       Date:  2003-09-12       Impact factor: 3.172

6.  The null distribution of likelihood-ratio statistics in the conditional-logistic linkage model.

Authors:  Yeunjoo E Song; Robert C Elston
Journal:  Front Genet       Date:  2013-11-19       Impact factor: 4.599

7.  High-density single nucleotide polymorphism genome-wide linkage scan for susceptibility genes for diabetic nephropathy in type 1 diabetes: discordant sibpair approach.

Authors:  John J Rogus; G David Poznik; Marcus G Pezzolesi; Adam M Smiles; Jonathon Dunn; William Walker; Krzysztof Wanic; Dariusz Moczulski; Luis Canani; Shinichi Araki; Yuichiro Makita; James H Warram; Andrzej S Krolewski
Journal:  Diabetes       Date:  2008-06-16       Impact factor: 9.461

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.