Integrating epigenetic, genetic, and phenotypic data to uncover gene-region associations with triglycerides in the GOLDN study

Autor: Razvan G. Romanescu, Osvaldo Espin-Garcia, Jin Ma, Shelley B. Bull
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: BMC Proceedings, Vol 12, Iss S9, Pp 181-186 (2018)
Druh dokumentu: article
ISSN: 1753-6561
DOI: 10.1186/s12919-018-0142-9
Popis: Abstract Background There has been significant interest in investigating genome-wide and epigenome-wide associations with lipids. Testing at the gene or region level may improve power in such studies. Methods We analyze chromosome 11 cytosine-phosphate-guanine (CpG) methylation levels and single-nucleotide polymorphism (SNP) genotypes from the original Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study, aiming to explore the association between triglyceride levels and genetic/epigenetic factors. We apply region-based tests of association to methylation and genotype data, in turn, which seek to increase power by reducing the dimension of the gene-region variables. We also investigate whether integrating 2 omics data sets (methylation and genotype) into the triglyceride association analysis helps or hinders detection of candidate gene regions. Results Gene-region testing identified 1 CpG region that had been previously reported in the GOLDN study data and another 2 gene regions that are also associated with triglyceride levels. Testing on the combined genetic and epigenetic data detected the same genes as using epigenetic or genetic data alone. Conclusions Region-based testing can uncover additional association signals beyond those detected using single-variant testing.
Databáze: Directory of Open Access Journals
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