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A new transmission test for affected sib-pair families
Family-based association approaches such as the transmission-disequilibrium test (TDT) are used extensively in the study of genetic traits because they are generally robust to the presence of population structure. However, these approaches necessarily involve recruitment of families, which is more c...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367567/ https://www.ncbi.nlm.nih.gov/pubmed/18466530 |
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author | Xu, Hongyan George, Varghese |
author_facet | Xu, Hongyan George, Varghese |
author_sort | Xu, Hongyan |
collection | PubMed |
description | Family-based association approaches such as the transmission-disequilibrium test (TDT) are used extensively in the study of genetic traits because they are generally robust to the presence of population structure. However, these approaches necessarily involve recruitment of families, which is more costly and time-consuming than sampling unrelated individuals in the population-based approaches. Therefore, a family-based approach, which has high power, would be appealing because of the gain in time and cost due to the reduced sample size that is required to attain adequate power. Here we introduce a new family-based transmission test using the joint transmission status from affected sib pairs. We show that by including the transmission status of both siblings, our method gives higher power than the TDT design, while maintaining the correct type I error rate. We use the simulated data from affected sib-pair families with rheumatoid arthritis provided by Genetic Analysis Workshop 15 to illustrate our approach. |
format | Text |
id | pubmed-2367567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-23675672008-05-06 A new transmission test for affected sib-pair families Xu, Hongyan George, Varghese BMC Proc Proceedings Family-based association approaches such as the transmission-disequilibrium test (TDT) are used extensively in the study of genetic traits because they are generally robust to the presence of population structure. However, these approaches necessarily involve recruitment of families, which is more costly and time-consuming than sampling unrelated individuals in the population-based approaches. Therefore, a family-based approach, which has high power, would be appealing because of the gain in time and cost due to the reduced sample size that is required to attain adequate power. Here we introduce a new family-based transmission test using the joint transmission status from affected sib pairs. We show that by including the transmission status of both siblings, our method gives higher power than the TDT design, while maintaining the correct type I error rate. We use the simulated data from affected sib-pair families with rheumatoid arthritis provided by Genetic Analysis Workshop 15 to illustrate our approach. BioMed Central 2007-12-18 /pmc/articles/PMC2367567/ /pubmed/18466530 Text en Copyright © 2007 Xu and George; 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 Xu, Hongyan George, Varghese A new transmission test for affected sib-pair families |
title | A new transmission test for affected sib-pair families |
title_full | A new transmission test for affected sib-pair families |
title_fullStr | A new transmission test for affected sib-pair families |
title_full_unstemmed | A new transmission test for affected sib-pair families |
title_short | A new transmission test for affected sib-pair families |
title_sort | new transmission test for affected sib-pair families |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367567/ https://www.ncbi.nlm.nih.gov/pubmed/18466530 |
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