Volume 21 Issue 8
Aug.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(8): 1383-1387
CAO Huiying, FENG Lei, TANG Lingtong, LIU Yanmei, BI Qianye, LUO Beibei, SHI Rui, ZHANG Yanbi. Progress of genetic risk scores in predicting type 2 diabetes[J]. Chinese Journal of General Practice, 2023, 21(8): 1383-1387. doi: 10.16766/j.cnki.issn.1674-4152.003128
Citation: CAO Huiying, FENG Lei, TANG Lingtong, LIU Yanmei, BI Qianye, LUO Beibei, SHI Rui, ZHANG Yanbi. Progress of genetic risk scores in predicting type 2 diabetes[J]. Chinese Journal of General Practice, 2023, 21(8): 1383-1387. doi: 10.16766/j.cnki.issn.1674-4152.003128
shu

Progress of genetic risk scores in predicting type 2 diabetes

doi: 10.16766/j.cnki.issn.1674-4152.003128
  • 1.

    Department of Clinical Laboratory, the Sixth Affiliated Hospital of Kunming Medical University, Yuxi, Yunnan 653100, China

Funds:

 82160402

 L-2019022

 202001AY070001-096

 2019J1309

  • Received Date: 2023-02-15
    Available Online: 2023-09-13
    Abstract
  • It is reported that there are about 537 million diabetes patients aged 20-79 years around the world, and about 6.7 million adults die of diabetes or diabetes complications. China has become the country with the largest number of diabetes patients in the world. Type 2 diabetes mellitus (T2DM) is the result of environmental and genetic factors. In recent years, the incidence rate of T2DM continues to rise, so it is very important to prevent and control the occurrence and development of T2DM. To address this situation, the T2DM research team has established a T2DM risk prediction model. Currently, the mechanisms included in the T2DM prediction model are mostly lipid metabolism, pancreatic function, glucose metabolism, dietary habits, etc., which are basically traditional risk factors. This has led to the phenomenon of "homogenization" in domestic and foreign T2DM prediction models. The prediction effect of existing models in different populations is not ideal, and there is an urgent need for new ideas and methods to be added. With the completion of the Human Genome Project, more and more studies have been carried out on the establishment of T2DM prediction models based on the joint application of susceptibility genes and traditional risk factors. Therefore, this paper plans to jointly apply susceptibility genes and traditional risk factors to establish T2DM prediction models incorporating new mechanisms, integrate "congenital" genetic factors and "acquired" physiological and biochemical indicators, and aim to accurately predict T2DM. At the same time, genetic factors are represented by the genetic risk score (GRS), and exploring how GRS can be applied to prediction models is also one of the purposes of this article. This paper reviewed the calculation of genetic risk score for type 2 diabetes mellitus, the combination of genetic risk score and traditional clinical risk factors in predicting type 2 diabetes mellitus, and how to apply genetic risk score through searching domestic and foreign literature, providing ideas and basis for the improvement of prediction model for type 2 diabetes mellitus in the future.

     

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