Journal
TRENDS IN ENDOCRINOLOGY AND METABOLISM
Volume 26, Issue 12, Pages 722-732Publisher
ELSEVIER SCIENCE LONDON
DOI: 10.1016/j.tem.2015.10.004
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Funding
- European Research Council [2012-322698]
- European Commission Seventh Framework Program (FP7) TANDEM project [HEALTH-F3-2012-305279]
- Netherlands Organization for Scientific Research [NWO-VIDI 864.13.013]
- Systems Biology Centre for Metabolism and Ageing (SBC-EMA), Groningen, The Netherlands
- CardioVasculair Onderzoek Nederland [CVON 2012-03]
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Cardiometabolic diseases represent a common complex disorder with a strong genetic component. Currently, genome-wide association studies (GWAS) have yielded some 755 single-nucleotide polymorphisms (SNPs) encompassing 366 independent loci that may help to decipher the molecular basis of cardiometabolic diseases. Going from a disease SNP to the underlying disease mechanisms is a huge challenge because the associated SNPs rarely disrupt protein function. Many disease SNPs are located in noncoding regions, and therefore attention is now focused on linking genetic SNP variation to effects on gene expression levels. By integrating genetic information with large-scale gene expression data, and with data from epigenetic roadmaps revealing gene regulatory regions, we expect to be able to identify candidate disease genes and the regulatory potential of disease SNPs.
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