DNA methylation correlation networks in overweight and normal-weight adolescents reveal differential coordination
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Multiple health issues are associated with obesity and numerous factors are causative of the disease. The role of genetic factors is well established, as is the knowledge that dietary and sedentary behavior promotes weight gain. Although there is strong suspicion towards the role of epigenetics as a driving force toward disease, this field remains l in the context of obesity. DNA methylation correlation networks were profiled from blood samples of 69 adolescents of two distinct weight-classes; obese (n=35) and normal-weight (n=34). The network analysis revealed major differences in the organization of the networks where the network of the obese had less modularity compared to normal-weight. This is manifested by more and smaller clusters in the obese, pertaining to genes of related functions and pathways, than the network of the normal-weight. Consequently, this suggests that biological pathways have a lower order of coordination between each other in means of DNA methylation in obese than normal-weight. Analysis of highly connected genes, hubs, in the two networks suggests that the difference in coordination between biological pathways may be derived by changes of the methylation pattern of these hubs; highly connected genes in one network had an intriguingly low connectivity in the other. In conclusion, the results suggest differential regulation of transcription through changes in the coordination of DNA methylation in overweight and normal weighted individuals. The findings of this study are a major step towards understanding the role of DNA methylation in obesity and provide potential biomarkers for diagnosing and predicting obesity.
Place, publisher, year, edition, pages
2013. , 51 p.
UPTEC X, 12025
DNA methylation, network, DNA methylation network, methylation network, correlation network, coordination, differential coordination, overweight, obese, obesity, normal-weight, lean, adolescents, children, methylome, complex disease, comorbidities, enrichment analysis
Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:uu:diva-202863OAI: oai:DiVA.org:uu-202863DiVA: diva2:634125
Subject / course
Molecular Biotechnology Engineering Programme
Sällman Almén, Markus, Dr.
Josefsson, Lars-Göran, Fil. Dr.