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A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic An...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795891/ https://www.ncbi.nlm.nih.gov/pubmed/20017984 |
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author | Zhu, Wensheng Cho, Kelly Chen, Xiang Zhang, Meizhuo Wang, Minghui Zhang, Heping |
author_facet | Zhu, Wensheng Cho, Kelly Chen, Xiang Zhang, Meizhuo Wang, Minghui Zhang, Heping |
author_sort | Zhu, Wensheng |
collection | PubMed |
description | The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. |
format | Text |
id | pubmed-2795891 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27958912009-12-18 A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines Zhu, Wensheng Cho, Kelly Chen, Xiang Zhang, Meizhuo Wang, Minghui Zhang, Heping BMC Proc Proceedings The Framingham Heart Study is a well known longitudinal cohort study. In recent years, the community-based Framingham Heart Study has embarked on genome-wide association studies. In this paper, we present a Framingham Heart Study genome-wide analysis for fasting triglycerides trait in the Genetic Analysis Workshop16 Problem 2 using multivariate adaptive splines for the analysis of longitudinal data (MASAL). With MASAL, we are able to perform analysis of genome-wide data with longitudinal phenotypes and covariates, making it possible to identify genes, gene-gene, and gene-environment (including time) interactions associated with the trait of interest. We conducted a permutation test to assess the associations between MASAL selected markers and triglycerides trait and report significant gene-gene and gene-environment interaction effects on the trait of interest. BioMed Central 2009-12-15 /pmc/articles/PMC2795891/ /pubmed/20017984 Text en Copyright ©2009 Zhu 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 Zhu, Wensheng Cho, Kelly Chen, Xiang Zhang, Meizhuo Wang, Minghui Zhang, Heping A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title | A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title_full | A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title_fullStr | A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title_full_unstemmed | A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title_short | A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines |
title_sort | genome-wide association analysis of framingham heart study longitudinal data using multivariate adaptive splines |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2795891/ https://www.ncbi.nlm.nih.gov/pubmed/20017984 |
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