New insights on genetic background of major diabetic vascular complications
Abstract Background By 2045, it is expected that 693 million individuals worldwide will have diabetes and with greater risk of morbidity, mortality, loss of vision, renal failure, and a decreased quality of life due to the devastating effects of macro- and microvascular complications. As such, clini...
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| Format: | Article |
| Language: | English |
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BMC
2024-10-01
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| Series: | Diabetology & Metabolic Syndrome |
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| Online Access: | https://doi.org/10.1186/s13098-024-01473-y |
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| author | Zuira Tariq Salah Abusnana Bashair M. Mussa Hala Zakaria |
| author_facet | Zuira Tariq Salah Abusnana Bashair M. Mussa Hala Zakaria |
| author_sort | Zuira Tariq |
| collection | DOAJ |
| description | Abstract Background By 2045, it is expected that 693 million individuals worldwide will have diabetes and with greater risk of morbidity, mortality, loss of vision, renal failure, and a decreased quality of life due to the devastating effects of macro- and microvascular complications. As such, clinical variables and glycemic control alone cannot predict the onset of vascular problems. An increasing body of research points to the importance of genetic predisposition in the onset of both diabetes and diabetic vascular complications. Objectives Purpose of this article is to review these approaches and narrow down genetic findings for Diabetic Mellitus and its consequences, highlighting the gaps in the literature necessary to further genomic discovery. Material and methods In the past, studies looking for genetic risk factors for diabetes complications relied on methods such as candidate gene studies, which were rife with false positives, and underpowered genome-wide association studies, which were constrained by small sample sizes. Results The number of genetic findings for diabetes and diabetic complications has over doubled due to the discovery of novel genomics data, including bioinformatics and the aggregation of global cohort studies. Using genetic analysis to determine whether diabetes individuals are at the most risk for developing diabetic vascular complications (DVC) might lead to the development of more accurate early diagnostic biomarkers and the customization of care plans. Conclusions A newer method that uses extensive evaluation of single nucleotide polymorphisms (SNP) in big datasets is Genome-Wide Association Studies (GWAS). |
| format | Article |
| id | doaj-art-4745ab5c30ba458992ee94b97f8b0610 |
| institution | Kabale University |
| issn | 1758-5996 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | BMC |
| record_format | Article |
| series | Diabetology & Metabolic Syndrome |
| spelling | doaj-art-4745ab5c30ba458992ee94b97f8b06102025-01-05T12:41:56ZengBMCDiabetology & Metabolic Syndrome1758-59962024-10-0116111710.1186/s13098-024-01473-yNew insights on genetic background of major diabetic vascular complicationsZuira Tariq0Salah Abusnana1Bashair M. Mussa2Hala Zakaria3Diabetes and Endocrinology Department, University Hospital SharjahDiabetes and Endocrinology Department, University Hospital SharjahCollege of Medicine, University of SharjahCollege of Medicine, University of SharjahAbstract Background By 2045, it is expected that 693 million individuals worldwide will have diabetes and with greater risk of morbidity, mortality, loss of vision, renal failure, and a decreased quality of life due to the devastating effects of macro- and microvascular complications. As such, clinical variables and glycemic control alone cannot predict the onset of vascular problems. An increasing body of research points to the importance of genetic predisposition in the onset of both diabetes and diabetic vascular complications. Objectives Purpose of this article is to review these approaches and narrow down genetic findings for Diabetic Mellitus and its consequences, highlighting the gaps in the literature necessary to further genomic discovery. Material and methods In the past, studies looking for genetic risk factors for diabetes complications relied on methods such as candidate gene studies, which were rife with false positives, and underpowered genome-wide association studies, which were constrained by small sample sizes. Results The number of genetic findings for diabetes and diabetic complications has over doubled due to the discovery of novel genomics data, including bioinformatics and the aggregation of global cohort studies. Using genetic analysis to determine whether diabetes individuals are at the most risk for developing diabetic vascular complications (DVC) might lead to the development of more accurate early diagnostic biomarkers and the customization of care plans. Conclusions A newer method that uses extensive evaluation of single nucleotide polymorphisms (SNP) in big datasets is Genome-Wide Association Studies (GWAS).https://doi.org/10.1186/s13098-024-01473-yType 2 diabetes mellitusVascular complicationsGenetic risk factorsGenome-wide association studiesSingle nucleotide polymorphisms |
| spellingShingle | Zuira Tariq Salah Abusnana Bashair M. Mussa Hala Zakaria New insights on genetic background of major diabetic vascular complications Diabetology & Metabolic Syndrome Type 2 diabetes mellitus Vascular complications Genetic risk factors Genome-wide association studies Single nucleotide polymorphisms |
| title | New insights on genetic background of major diabetic vascular complications |
| title_full | New insights on genetic background of major diabetic vascular complications |
| title_fullStr | New insights on genetic background of major diabetic vascular complications |
| title_full_unstemmed | New insights on genetic background of major diabetic vascular complications |
| title_short | New insights on genetic background of major diabetic vascular complications |
| title_sort | new insights on genetic background of major diabetic vascular complications |
| topic | Type 2 diabetes mellitus Vascular complications Genetic risk factors Genome-wide association studies Single nucleotide polymorphisms |
| url | https://doi.org/10.1186/s13098-024-01473-y |
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