ArticleBritish journal of sports medicine2015
Genomic and transcriptomic predictors of triglyceride response to regular exercise.
Article in British journal of sports medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dose-Response Relationships Between Exercise Modalities and Triglyceride Reduction in Adults: A Systematic Review and Model-Based Network Meta-Analysis.Metabolites · 2026Review
- Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation.Current nutrition reports · 2022Review
- Omics and Exercise: Global Approaches for Mapping Exercise Biological Networks.Cold Spring Harbor perspectives in medicine · 2017Review
- Exercise, Physical Activity, and Cardiometabolic Health: Pathophysiologic Insights.Cardiology in reviewArticle
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9 authors.
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Abstract
aimWe performed genome-wide and transcriptome-wide profiling to identify genes and single nucleotide polymorphisms (SNPs) associated with the response of triglycerides (TG) to exercise training.
methodsPlasma TG levels were measured before and after a 20-week endurance training programme in 478 white participants from the HERITAGE Family Study. Illumina HumanCNV370-Quad v3.0 BeadChips were genotyped using the Illumina BeadStation 500GX platform. Affymetrix HG-U133+2 arrays were used to quantitate gene expression levels from baseline muscle biopsies of a subset of participants (N=52). Genome-wide association study (GWAS) analysis was performed using MERLIN, while transcriptomic predictor models were developed using the R-package GALGO.
resultsThe GWAS results showed that eight SNPs were associated with TG training-response (ΔTG) at p<9.9×10(-6), while another 31 SNPs showed p values <1×10(-4). In multivariate regression models, the top 10 SNPs explained 32.0% of the variance in ΔTG, while conditional heritability analysis showed that four SNPs statistically accounted for all of the heritability of ΔTG. A molecular signature based on the baseline expression of 11 genes predicted 27% of ΔTG in HERITAGE, which was validated in an independent study. A composite SNP score based on the top four SNPs, each from the genomic and transcriptomic analyses, was the strongest predictor of ΔTG (R(2)=0.14, p=3.0×10(-68)).
conclusionsOur results indicate that skeletal muscle transcript abundance at 11 genes and SNPs at a number of loci contribute to TG response to exercise training. Combining data from genomics and transcriptomics analyses identified a SNP-based gene signature that should be further tested in independent samples.
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