Cargando…
Comparison of two methods for analysis of gene–environment interactions in longitudinal family data: the Framingham heart study
Gene–environment interaction (GEI) analysis can potentially enhance gene discovery for common complex traits. However, genome-wide interaction analysis is computationally intensive. Moreover, analysis of longitudinal data in families is much more challenging due to the two sources of correlations ar...
Autores principales: | Sung, Yun Ju, Simino, Jeannette, Kume, Rezart, Basson, Jacob, Schwander, Karen, Rao, D. C. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3906599/ https://www.ncbi.nlm.nih.gov/pubmed/24523728 http://dx.doi.org/10.3389/fgene.2014.00009 |
Ejemplares similares
-
Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9
por: Simino, Jeannette, et al.
Publicado: (2013) -
Polygenic Scores and Parental Predictors: An Adult Height Study Based on the United Kingdom Biobank and the Framingham Heart Study
por: You, Chong, et al.
Publicado: (2021) -
The role of SNP-loop diuretic interactions in hypertension across ethnic groups in HyperGEN
por: de Las Fuentes, Lisa, et al.
Publicado: (2013) -
Enriching rare variants using family-specific linkage information
por: Shi, Gang, et al.
Publicado: (2011) -
Growth mixture modelling in families of the Framingham Heart Study
por: Kerner, Berit, et al.
Publicado: (2009)