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Mixed-effects Cox models of alcohol dependence in extended families
The presence of disease is commonly used in genetic studies; however, the time to onset often provides additional information. To apply the popular Cox model for such data, it is desirable to consider the familial correlation, which involves kinship or identity by descent (IBD) information between f...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866810/ https://www.ncbi.nlm.nih.gov/pubmed/16451585 http://dx.doi.org/10.1186/1471-2156-6-S1-S127 |
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author | Zhao, Jing hua |
author_facet | Zhao, Jing hua |
author_sort | Zhao, Jing hua |
collection | PubMed |
description | The presence of disease is commonly used in genetic studies; however, the time to onset often provides additional information. To apply the popular Cox model for such data, it is desirable to consider the familial correlation, which involves kinship or identity by descent (IBD) information between family members. Recently, such a framework has been developed and implemented in a UNIX-based S-PLUS package called kinship, extending the Cox model with mixed effects and familial relationship. The model is of great potential in joint analysis of family data with genetic and environmental factors. We apply this framework to data from the Collaborative Study on the Genetics of Alcoholism data as part of Genetic Analysis Workshop 14. We use the S-PLUS package, ported into the R environment , for the analysis of microsatellite data on chromosomes 4 and 7. In these analyses, IBD information at those markers is used in addition to the basic Cox model with mixed effects, which provides estimates of the relative contribution of specific genetic markers. D4S1645 had the largest variance and contribution to the log-likelihood on chromosome 4, but the significance of this finding requires further investigation. |
format | Text |
id | pubmed-1866810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18668102007-05-11 Mixed-effects Cox models of alcohol dependence in extended families Zhao, Jing hua BMC Genet Proceedings The presence of disease is commonly used in genetic studies; however, the time to onset often provides additional information. To apply the popular Cox model for such data, it is desirable to consider the familial correlation, which involves kinship or identity by descent (IBD) information between family members. Recently, such a framework has been developed and implemented in a UNIX-based S-PLUS package called kinship, extending the Cox model with mixed effects and familial relationship. The model is of great potential in joint analysis of family data with genetic and environmental factors. We apply this framework to data from the Collaborative Study on the Genetics of Alcoholism data as part of Genetic Analysis Workshop 14. We use the S-PLUS package, ported into the R environment , for the analysis of microsatellite data on chromosomes 4 and 7. In these analyses, IBD information at those markers is used in addition to the basic Cox model with mixed effects, which provides estimates of the relative contribution of specific genetic markers. D4S1645 had the largest variance and contribution to the log-likelihood on chromosome 4, but the significance of this finding requires further investigation. BioMed Central 2005-12-30 /pmc/articles/PMC1866810/ /pubmed/16451585 http://dx.doi.org/10.1186/1471-2156-6-S1-S127 Text en Copyright © 2005 Zhao; 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 Zhao, Jing hua Mixed-effects Cox models of alcohol dependence in extended families |
title | Mixed-effects Cox models of alcohol dependence in extended families |
title_full | Mixed-effects Cox models of alcohol dependence in extended families |
title_fullStr | Mixed-effects Cox models of alcohol dependence in extended families |
title_full_unstemmed | Mixed-effects Cox models of alcohol dependence in extended families |
title_short | Mixed-effects Cox models of alcohol dependence in extended families |
title_sort | mixed-effects cox models of alcohol dependence in extended families |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866810/ https://www.ncbi.nlm.nih.gov/pubmed/16451585 http://dx.doi.org/10.1186/1471-2156-6-S1-S127 |
work_keys_str_mv | AT zhaojinghua mixedeffectscoxmodelsofalcoholdependenceinextendedfamilies |