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A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines.


ABSTRACT: 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.

SUBMITTER: Zhu W 

PROVIDER: S-EPMC2795891 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature

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A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines.

Zhu Wensheng W   Cho Kelly K   Chen Xiang X   Zhang Meizhuo M   Wang Minghui M   Zhang Heping H  

BMC proceedings 20091215


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 phenoty  ...[more]

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