Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data

ConclusionsThese analyses reveal a pattern of non-random functional connectivity between candidate causal genes at T2D GWAS loci and highlight the products of genes includingYWHAG,SMAD4 orCDK2 as potential contributors to T2D-relevant islet dysfunction. The approach we describe can be applied to other complex genetic and genomic datasets, facilitating integration of diverse data types into disease-associated networks.

http://link.springer.com/10.1186/s13073-019-0628-8

Source: Genome Medicine - March 25, 2019 Category: Genetics & Stem Cells Source Type: research