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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...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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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. |
format | Text |
id | pubmed-1866687 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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