Our aim is to compile a large database of publicly available GWAS data related to the genetic architecture of obesity, type-II diabetes and kidney function. This dataset will include imminent BMI and diabetes GWAS results from Polynesians. From this reference dataset, we aim to delimit the boundaries of the most associated loci and identify particular squences of functional importance which we will specifically target in a resequencing study of Polynesian populations.
- Phase 1: identify the most recent large scale meta-analyses from the literature.
- Phase 2: from these studies, obtain the relevant data sets.
- Phase 3: extract the top 20 loci by population (emphasis on European and Asian populations).
- Phase 4: This will require clear criteria for selection of the genes (proximity-based).
- Phase 5: compile appropriate exons, promoters, 3' / 5' UTR sequences.
- Phase 6: where appropriate also target regulatory regions.
Diabetes
Mahajan, A., Go, M. J., Zhang, W., Below, J. E., ... & Chidambaram, M. (2014). Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility. Nature genetics, 46(3), 234-244.
Obesity
Locke, A. E., Kahali, B., Berndt, S. I., Justice, A. E., Pers, T. H., Day, F. R., ... & Kristiansson, K. (2015). Genetic studies of body mass index yield new insights for obesity biology. Nature, 518(7538), 197-206.
Shungin, D., Winkler, T. W., Croteau-Chonka, D. C., Ferreira, T., Locke, A. E., Mägi, R., ... & Medina-Gomez, C. (2015). New genetic loci link adipose and insulin biology to body fat distribution. Nature, 518(7538), 187-196.
Kidney
Okada, Y., Sim, X., Go, M. J., Wu, J. Y., Gu, D., Takeuchi, F., ... & CKDGen Consortium. (2012). Meta-analysis identifies multiple loci associated with kidney function-related traits in east Asian populations. Nature genetics, 44(8), 904-909.