Back to Search
Start Over
A genome-wide association analysis of Framingham Heart Study longitudinal data using multivariate adaptive splines
- Source :
- BMC Proceedings
- Publisher :
- Springer Nature
-
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.
- Subjects :
- 0303 health sciences
Multivariate statistics
Longitudinal data
business.industry
030305 genetics & heredity
General Medicine
Bioinformatics
General Biochemistry, Genetics and Molecular Biology
03 medical and health sciences
Framingham Heart Study
Proceedings
Resampling
Covariate
Genome-Wide Association Analysis
Trait
Medicine
business
030304 developmental biology
Demography
Genetic association
Subjects
Details
- Language :
- English
- ISSN :
- 17536561
- Volume :
- 3
- Issue :
- Suppl 7
- Database :
- OpenAIRE
- Journal :
- BMC Proceedings
- Accession number :
- edsair.doi.dedup.....dedf3856b26d55722d6afda2bde63f2f
- Full Text :
- https://doi.org/10.1186/1753-6561-3-s7-s119