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Many variants in the human genome are related to type 2 diabetes, but since most variants are not present in the genes that code for proteins, it is not clear how they cause the disease
.
Now, an international team including researchers from the Massachusetts General Hospital (MGH) has developed a resource to help uncover the effects of these genetic variants
"Cell Reports" (Cell Reports) described this work, which is based on the knowledge that abnormal pancreatic islet cell population will produce and release hormones that regulate blood sugar levels, thereby promoting the development of type 2 diabetes
.
Unfortunately, it is very difficult to obtain samples of human islets
This research needs to collect and check a large amount of information, which is achieved through the use of supercomputing resources and new statistical methods
.
TIGER's analysis showed that certain genetic variants in pancreatic islets in type 2 diabetes control the expression of specific genes
.
So far, 32 new genes that may contribute to the risk of type 2 diabetes have been identified
Dr.
Josep M.
Mercader, a research scientist at the MGH Diabetes Department and Center for Genomic Medicine, said: “This resource is very useful
for identifying genes that may be associated with the genetic variants that we have discovered that are associated with type 2 diabetes .
Understanding the genes behind specific gene associations is The first step to identify potential drug targets, or to better understand the physiological mechanisms of different types of diabetes
TIGER's data is public, and the diabetes research community can easily obtain it through TIGER's website portal ( tiger.
"We are proud that we are now able to share this rich data with the scientific community in a convenient way, providing convenience to all researchers in the field of type 2 diabetes, without the need for computing or bioinformatics expertise," TIGER Portal Said Lorena Alonso from the Barcelona Supercomputing Center, one of the developers of the website
https://doi.
Article Title
TIGER: The gene expression regulatory variation landscape of human pancreatic islets