The discovery of 145 genetic brands that increase the risk of type 2 diabetes
A team of international researchers at the University of MassachTustts Amarst have managed to discover 145 genetic brands that increase the risk of developing type 2 diabetes, according to Nature. In the largest genome level on type 2 diabetes, the researchers have identified the 1289 genetic sign that can increase the risk levels of complications of diabetes. Genetic signs are specific DNA or genetic rows that can be used to detect unique chromosomes. Scientists use these signs to detect genetic heredity within families, study genetic diversity within population groups, or to identify the genome areas associated with specific characteristics or diseases. The study, arising from the genome genome initiative for type 2 diabetes, contains a variety of data that includes more than 2.5 million individuals, of which about 428,000 has this disease. The genetic variables, according to nature, have used scientists advanced mathematical methods to identify 8 groups of genetic variables associated with the disease, and they have also discovered the relationship between individual groups and complications of diabetes. The researchers found that 8 groups of variables are associated with other risk factors for diabetes, such as obesity and liver metabolism, which are an indication of mechanisms of how variables work to cause diabetes. They pointed out that many of them are also associated with the complications of blood vessels, such as coronary artery diseases and diabetic nephropathy in the last phase. The researcher who participated in the study told Cassandra Spriklin, an assistant professor of biology and epidemics at the Faculty of Public Health to the American University, that the team managed to identify some of the mechanisms of how these genetic variables work. The second type of diabetes contains an important genetic component, which means that genetic factors play a role in determining the extent of the individual’s ability to develop the condition. Although effective treatments are available for type 2 diabetes, the treatment strategies are still dependent on experiment and errors for many people with this disease. Scientists believe that the ability to better understand the disease mechanisms will help predict the risk of individuals with type 2 diabetes and allow early intervention.