Based on extensive genotypic data from CARDIoGRAM we started a large-scale integrative genomic analyses together with colleagues from USA, Australia, Canada, UK, Singapore, and Germany.
More precisely, we conducted an analysis where we used the information of gene-gene interactions to capture groups of genes that are most likely to increase heart disease risk. In the end, we not only confirmed the importance of several known CAD risk processes such as the metabolism and transport of cholesterol, immune response, and blood coagulation, but also revealed many novel processes such as neuroprotection, cell cycle, and proteolysis that were not previously implicated in CAD. These results published in PLOS Genetics highlight the value of integrating population genetic data with diverse resources that functionally annotate the human genome.
Link: http://www.plosgenetics.org/article/info%3Adoi%2F10.1371%2Fjournal.pgen.1004502