Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach
The method of Genome-Wide Association Studies (GWAS) steadily becomes the basis for searching for candidate genes of monogenic and multifactorial diseases, including type 1 and 2 diabetes mellitus, coronary heart disease, obesity, vascular diseases, and others. To date, approximately 40 loci associa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Endocrinology Research Centre
2014-07-01
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| Series: | Сахарный диабет |
| Subjects: | |
| Online Access: | https://www.dia-endojournals.ru/jour/article/view/6495 |
| _version_ | 1797255214123712512 |
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| author | Ivan Ivanovich Dedov Olga Mikhailovna Smirnova Irina Vladimirovna Kononenko |
| author_facet | Ivan Ivanovich Dedov Olga Mikhailovna Smirnova Irina Vladimirovna Kononenko |
| author_sort | Ivan Ivanovich Dedov |
| collection | DOAJ |
| description | The method of Genome-Wide Association Studies (GWAS) steadily becomes the basis for searching for candidate genes of monogenic and multifactorial diseases, including type 1 and 2 diabetes mellitus, coronary heart disease, obesity, vascular diseases, and others. To date, approximately 40 loci associated with type 2 diabetes mellitus (T2DM) have been identified and genetic predisposition factors for cardiovascular diseases have been determined. In some cases, the GWAS results not only enable understanding of the pathophysiologic basis for diseases, but also may give rise to new drugs. However, the question naturally arises about the possibility of implementing the accumulated knowledge to predict the development of diseases, including T2DM and its vascular complications. This review summarises the literature data on the possibilities to use the GWAS results to calculate the risk of developing diabetes and cardiovascular diseases. Determination of the individual genetic risk will allow for the primary prevention of diseases and will apparently be the basis of personalised predictive medicine in the near future. |
| first_indexed | 2024-03-08T15:21:22Z |
| format | Article |
| id | doaj.art-76a2399ee8764c37ba55656791232ce4 |
| institution | Directory Open Access Journal |
| issn | 2072-0351 2072-0378 |
| language | English |
| last_indexed | 2024-04-24T22:02:17Z |
| publishDate | 2014-07-01 |
| publisher | Endocrinology Research Centre |
| record_format | Article |
| series | Сахарный диабет |
| spelling | doaj.art-76a2399ee8764c37ba55656791232ce42024-03-20T11:47:59ZengEndocrinology Research CentreСахарный диабет2072-03512072-03782014-07-01172101910.14341/DM2014210-196414Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approachIvan Ivanovich Dedov0Olga Mikhailovna Smirnova1Irina Vladimirovna Kononenko2Endocrinology Research Centre, MoscowEndocrinology Research Centre, MoscowEndocrinology Research Centre, MoscowThe method of Genome-Wide Association Studies (GWAS) steadily becomes the basis for searching for candidate genes of monogenic and multifactorial diseases, including type 1 and 2 diabetes mellitus, coronary heart disease, obesity, vascular diseases, and others. To date, approximately 40 loci associated with type 2 diabetes mellitus (T2DM) have been identified and genetic predisposition factors for cardiovascular diseases have been determined. In some cases, the GWAS results not only enable understanding of the pathophysiologic basis for diseases, but also may give rise to new drugs. However, the question naturally arises about the possibility of implementing the accumulated knowledge to predict the development of diseases, including T2DM and its vascular complications. This review summarises the literature data on the possibilities to use the GWAS results to calculate the risk of developing diabetes and cardiovascular diseases. Determination of the individual genetic risk will allow for the primary prevention of diseases and will apparently be the basis of personalised predictive medicine in the near future.https://www.dia-endojournals.ru/jour/article/view/6495diabetes mellituscardiovascular diseasesgenome-wide association studiesrisk of developmentprediction |
| spellingShingle | Ivan Ivanovich Dedov Olga Mikhailovna Smirnova Irina Vladimirovna Kononenko Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach Сахарный диабет diabetes mellitus cardiovascular diseases genome-wide association studies risk of development prediction |
| title | Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach |
| title_full | Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach |
| title_fullStr | Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach |
| title_full_unstemmed | Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach |
| title_short | Significance of the results of genome-wide association studies for primary prevention of type 2 diabetes mellitus and its complications. Personalised approach |
| title_sort | significance of the results of genome wide association studies for primary prevention of type 2 diabetes mellitus and its complications personalised approach |
| topic | diabetes mellitus cardiovascular diseases genome-wide association studies risk of development prediction |
| url | https://www.dia-endojournals.ru/jour/article/view/6495 |
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