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Robust trend tests for genetic association in case-control studies using family data

We studied a trend test for genetic association between disease and the number of risk alleles using case-control data. When the data are sampled from families, this trend test can be adjusted to take into account the correlations among family members in complex pedigrees. However, the test depends...

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Detalles Bibliográficos
Autores principales: Tian, Xin, Joo, Jungnam, Zheng, Gang, Lin, Jing-Ping
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2005
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866832/
https://www.ncbi.nlm.nih.gov/pubmed/16451563
http://dx.doi.org/10.1186/1471-2156-6-S1-S107
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author Tian, Xin
Joo, Jungnam
Zheng, Gang
Lin, Jing-Ping
author_facet Tian, Xin
Joo, Jungnam
Zheng, Gang
Lin, Jing-Ping
author_sort Tian, Xin
collection PubMed
description We studied a trend test for genetic association between disease and the number of risk alleles using case-control data. When the data are sampled from families, this trend test can be adjusted to take into account the correlations among family members in complex pedigrees. However, the test depends on the scores based on the underlying genetic model and thus it may have substantial loss of power when the model is misspecified. Since the mode of inheritance will be unknown for complex diseases, we have developed two robust trend tests for case-control studies using family data. These robust tests have relatively good power for a class of possible genetic models. The trend tests and robust trend tests were applied to a dataset of Genetic Analysis Workshop 14 from the Collaborative Study on the Genetics of Alcoholism.
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spelling pubmed-18668322007-05-11 Robust trend tests for genetic association in case-control studies using family data Tian, Xin Joo, Jungnam Zheng, Gang Lin, Jing-Ping BMC Genet Proceedings We studied a trend test for genetic association between disease and the number of risk alleles using case-control data. When the data are sampled from families, this trend test can be adjusted to take into account the correlations among family members in complex pedigrees. However, the test depends on the scores based on the underlying genetic model and thus it may have substantial loss of power when the model is misspecified. Since the mode of inheritance will be unknown for complex diseases, we have developed two robust trend tests for case-control studies using family data. These robust tests have relatively good power for a class of possible genetic models. The trend tests and robust trend tests were applied to a dataset of Genetic Analysis Workshop 14 from the Collaborative Study on the Genetics of Alcoholism. BioMed Central 2005-12-30 /pmc/articles/PMC1866832/ /pubmed/16451563 http://dx.doi.org/10.1186/1471-2156-6-S1-S107 Text en Copyright © 2005 Tian 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
Tian, Xin
Joo, Jungnam
Zheng, Gang
Lin, Jing-Ping
Robust trend tests for genetic association in case-control studies using family data
title Robust trend tests for genetic association in case-control studies using family data
title_full Robust trend tests for genetic association in case-control studies using family data
title_fullStr Robust trend tests for genetic association in case-control studies using family data
title_full_unstemmed Robust trend tests for genetic association in case-control studies using family data
title_short Robust trend tests for genetic association in case-control studies using family data
title_sort robust trend tests for genetic association in case-control studies using family data
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866832/
https://www.ncbi.nlm.nih.gov/pubmed/16451563
http://dx.doi.org/10.1186/1471-2156-6-S1-S107
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