3.8 Article

Do Genetic Factors Modify the Relationship Between Obesity and Hypertriglyceridemia?: Findings From the GLACIER and the MDC Studies

Journal

CIRCULATION-CARDIOVASCULAR GENETICS
Volume 9, Issue 2, Pages 162-171

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCGENETICS.115.001218

Keywords

bioinformatics; genetic epidemiology; genetics; obesity; triglycerides

Funding

  1. Swedish Heart Lung Foundation
  2. Swedish Research Council
  3. Novo Nordisk Foundation
  4. European Research Council
  5. EXODIAB
  6. IMI DIRECT Consortium
  7. Basque Government
  8. Heart and Lung foundation
  9. Swedish Diabetes Foundation
  10. Pahlsson Foundation
  11. Region Skane
  12. Knut and Alice Wallenberg Foundation
  13. Linneus Foundation
  14. Wellcome Trust [098051]
  15. United Kingdom NIHR Cambridge Biomedical Research Centre
  16. MRC Centre for Obesity and Related Metabolic Diseases
  17. Novo Nordisk Fonden [NNF12OC1016167, NNF14OC0011049, NNF14OC0011039, NNF16OC0021370, NNF13OC0005781, NNF11OC1014855, NNF15OC0016320] Funding Source: researchfish

Ask authors/readers for more resources

Background Obesity is a major risk factor for dyslipidemia, but this relationship is highly variable. Recently published data from 2 Danish cohorts suggest that genetic factors may underlie some of this variability. Methods and Results We tested whether established triglyceride-associated loci modify the relationship of body mass index (BMI) and triglyceride concentrations in 2 Swedish cohorts (the Gene-Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk [GLACIER Study; N=4312] and the Malmo Diet and Cancer Study [N=5352]). The genetic loci were amalgamated into a weighted genetic risk score (WGRS(TG)) by summing the triglyceride-elevating alleles (weighted by their established marginal effects) for all loci. Both BMI and the WGRS(TG) were strongly associated with triglyceride concentrations in GLACIER, with each additional BMI unit (kg/m(2)) associated with 2.8% (P=8.4x10(-84)) higher triglyceride concentration and each additional WGRS(TG) unit with 2% (P=7.6x10(-48)) higher triglyceride concentration. Each unit of the WGRS(TG) was associated with 1.5% higher triglyceride concentrations in normal weight and 2.4% higher concentrations in overweight/obese participants (P-interaction=0.056). Meta-analyses of results from the Swedish cohorts yielded a statistically significant WGRS(TG)xBMI interaction effect (P-interaction=6.0x10(-4)), which was strengthened by including data from the Danish cohorts (P-interaction=6.5x10(-7)). In the meta-analysis of the Swedish cohorts, nominal evidence of a 3-way interaction (WGRS(TG)xBMIxsex) was observed (P-interaction=0.03), where the WGRS(TG)xBMI interaction was only statistically significant in females. Using protein-protein interaction network analyses, we identified molecular interactions and pathways elucidating the metabolic relationships between BMI and triglyceride-associated loci. Conclusions Our findings provide evidence that body fatness accentuates the effects of genetic susceptibility variants in hypertriglyceridemia, effects that are most evident in females.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

3.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available