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Analysis of binary traits: testing association in the presence of linkage

Most methods for testing association in the presence of linkage, using family-based studies, have been developed for continuous traits. FBAT (family-based association tests) is one of few methods appropriate for discrete outcomes. In this article we describe a new test of association in the presence...

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Detalles Bibliográficos
Autores principales: Jonasdottir, Gudrun, Palmgren, Juni, Humphreys, Keith
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866687/
https://www.ncbi.nlm.nih.gov/pubmed/16451708
http://dx.doi.org/10.1186/1471-2156-6-S1-S92
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author Jonasdottir, Gudrun
Palmgren, Juni
Humphreys, Keith
author_facet Jonasdottir, Gudrun
Palmgren, Juni
Humphreys, Keith
author_sort Jonasdottir, Gudrun
collection PubMed
description Most methods for testing association in the presence of linkage, using family-based studies, have been developed for continuous traits. FBAT (family-based association tests) is one of few methods appropriate for discrete outcomes. In this article we describe a new test of association in the presence of linkage for binary traits. We use a gamma random effects model in which association and linkage are modelled as fixed effects and random effects, respectively. We have compared the gamma random effects model to an FBAT and a generalized estimating equation-based alternative, using two regions in the Genetic Analysis Workshop 14 simulated data. One of these regions contained haplotypes associated with disease, and the other did not.
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spelling pubmed-18666872007-05-11 Analysis of binary traits: testing association in the presence of linkage Jonasdottir, Gudrun Palmgren, Juni Humphreys, Keith BMC Genet Proceedings Most methods for testing association in the presence of linkage, using family-based studies, have been developed for continuous traits. FBAT (family-based association tests) is one of few methods appropriate for discrete outcomes. In this article we describe a new test of association in the presence of linkage for binary traits. We use a gamma random effects model in which association and linkage are modelled as fixed effects and random effects, respectively. We have compared the gamma random effects model to an FBAT and a generalized estimating equation-based alternative, using two regions in the Genetic Analysis Workshop 14 simulated data. One of these regions contained haplotypes associated with disease, and the other did not. BioMed Central 2005-12-30 /pmc/articles/PMC1866687/ /pubmed/16451708 http://dx.doi.org/10.1186/1471-2156-6-S1-S92 Text en Copyright © 2005 Jonasdottir et al; licensee BioMed Central Ltd http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Jonasdottir, Gudrun
Palmgren, Juni
Humphreys, Keith
Analysis of binary traits: testing association in the presence of linkage
title Analysis of binary traits: testing association in the presence of linkage
title_full Analysis of binary traits: testing association in the presence of linkage
title_fullStr Analysis of binary traits: testing association in the presence of linkage
title_full_unstemmed Analysis of binary traits: testing association in the presence of linkage
title_short Analysis of binary traits: testing association in the presence of linkage
title_sort analysis of binary traits: testing association in the presence of linkage
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866687/
https://www.ncbi.nlm.nih.gov/pubmed/16451708
http://dx.doi.org/10.1186/1471-2156-6-S1-S92
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