Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study

The Framingham Heart Study is a very successful longitudinal research for cardiovascular diseases. The completion of a 10-cM genome scan in Framingham families provided an opportunity to evaluate linkage using longitudinal data. Several descriptive traits based on simulated longitudinal data from th...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Dai, Li, Xiaohui, Lin, Ying-Chao, Yang, Kai, Guo, Xiuqing, Yang, Huiying
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Proceedings
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866463/
https://www.ncbi.nlm.nih.gov/pubmed/14975096
http://dx.doi.org/10.1186/1471-2156-4-S1-S28
_version_ 1782133275091795968
author Wang, Dai
Li, Xiaohui
Lin, Ying-Chao
Yang, Kai
Guo, Xiuqing
Yang, Huiying
author_facet Wang, Dai
Li, Xiaohui
Lin, Ying-Chao
Yang, Kai
Guo, Xiuqing
Yang, Huiying
author_sort Wang, Dai
collection PubMed
description The Framingham Heart Study is a very successful longitudinal research for cardiovascular diseases. The completion of a 10-cM genome scan in Framingham families provided an opportunity to evaluate linkage using longitudinal data. Several descriptive traits based on simulated longitudinal data from the Genetic Analysis Workshop 13 (GAW13) were generated, and linkage analyses were performed for these traits. We compared the power of detecting linkage for baseline and slope genes in the simulated data of GAW13 using these traits. We found that using longitudinal traits based on multiple follow-ups may not be more powerful than using cross-sectional traits for genetic linkage analysis.
format Text
id pubmed-1866463
institution National Center for Biotechnology Information
language English
publishDate 2003
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-18664632007-05-11 Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study Wang, Dai Li, Xiaohui Lin, Ying-Chao Yang, Kai Guo, Xiuqing Yang, Huiying BMC Genet Proceedings The Framingham Heart Study is a very successful longitudinal research for cardiovascular diseases. The completion of a 10-cM genome scan in Framingham families provided an opportunity to evaluate linkage using longitudinal data. Several descriptive traits based on simulated longitudinal data from the Genetic Analysis Workshop 13 (GAW13) were generated, and linkage analyses were performed for these traits. We compared the power of detecting linkage for baseline and slope genes in the simulated data of GAW13 using these traits. We found that using longitudinal traits based on multiple follow-ups may not be more powerful than using cross-sectional traits for genetic linkage analysis. BioMed Central 2003-12-31 /pmc/articles/PMC1866463/ /pubmed/14975096 http://dx.doi.org/10.1186/1471-2156-4-S1-S28 Text en Copyright © 2003 Wang 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
Wang, Dai
Li, Xiaohui
Lin, Ying-Chao
Yang, Kai
Guo, Xiuqing
Yang, Huiying
Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title_full Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title_fullStr Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title_full_unstemmed Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title_short Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study
title_sort power of linkage analysis using traits generated from simulated longitudinal data of the framingham heart study
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1866463/
https://www.ncbi.nlm.nih.gov/pubmed/14975096
http://dx.doi.org/10.1186/1471-2156-4-S1-S28
work_keys_str_mv AT wangdai poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy
AT lixiaohui poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy
AT linyingchao poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy
AT yangkai poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy
AT guoxiuqing poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy
AT yanghuiying poweroflinkageanalysisusingtraitsgeneratedfromsimulatedlongitudinaldataoftheframinghamheartstudy

Ejemplares similares