The Role of Genomic Sequencing in Diabetes Mellitus

Authors

  • Yanne Pradwi Efendi Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia
  • Alexander Kam Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia
  • Eva Decroli Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia
  • Dinda Aprilia Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia
  • Syafril Syahbuddin Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

DOI:

https://doi.org/10.56260/sciena.v4i5.279

Keywords:

Genomic sequencing, diabetes Mellitus, diagnosis, therapy

Abstract

Diabetes Mellitus is a chronic metabolic disorder caused by impaired insulin secretion and/or insulin resistance. Genetic testing through genomic sequencing is one of the modalities available for diabetes mellitus. Genomic sequencing is the process of analysing DNA obtained from a blood sample (or alternatively from tissue samples). Broadly, genomic sequencing plays two major roles in diabetes mellitus: supporting diagnosis and guiding therapeutic approaches. In its development, genomic sequencing has proven valuable for diagnostic investigation in type 1 diabetes and maturity-onset diabetes of the young (MODY), as well as for assessing the polygenic risk score (PRS) in type 2 diabetes. Establishing a definitive diagnosis allows for the selection of individualised therapy. Several randomised controlled trials have demonstrated that the risk of developing diabetes can be reduced by up to half if detected at an earlier stage. Moreover, genomic sequencing can identify genetic variants that influence responsiveness to antidiabetic treatments. At present, several potential antidiabetic agents targeting novel pathways are under development and in various stages of clinical trials. The application of genomic sequencing thus facilitates the implementation of individualised therapy, ultimately contributing to the realisation of precision medicine.

Author Biographies

Yanne Pradwi Efendi, Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Metabolic Endocrinology and Diabetes Division, Internal Medicine Department, Medical Faculty/ Metabolic Endocrinology and Diabetes Division, Internal Medicine Department

Alexander Kam , Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Metabolic Endocrinology and Diabetes Division, Internal Medicine Department, Medical Faculty/ Metabolic Endocrinology and Diabetes Division, Internal Medicine Department

Eva Decroli, Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Metabolic Endocrinology and Diabetes Division, Internal Medicine Department, Medical Faculty/ Metabolic Endocrinology and Diabetes Division, Internal Medicine Department

Dinda Aprilia, Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Metabolic Endocrinology and Diabetes Division, Internal Medicine Department, Medical Faculty/ Metabolic Endocrinology and Diabetes Division, Internal Medicine Department

Syafril Syahbuddin , Universitas Andalas, Padang, West Sumatera, Indonesia/ M. Djamil General Hospital, Padang, West Sumatera, Indonesia

Metabolic Endocrinology and Diabetes Division, Internal Medicine Department, Medical Faculty/ Metabolic Endocrinology and Diabetes Division, Internal Medicine Department

References

. Maruthur N, Gribble M, Bennet W, Bolen S, Wilson L, Balakrishnan P, et.al. 2014. The Pharmacogenetics of Type 2 Diabetes: Systematic Review. Diabetes Care; 37: 876-86.

. Zeng Z, Huang S, Sun T. 2020. Pharmacogenomic Studies of Current Antidiabetic Agents and Potential New Drug Targets for Precision Medicine of Diabetes. Diabetes Ther;11: 2521-38.

. Venkatachalapthy P, Padhilahouse S, Sellappan M, Subramaniam T, Kurian S, Miraj S, et. al. 2021. Pharmacogenomics and Personalized Medicine in Type 2 Diabetes Mellitus: Potential Implications for Clinical Practice;14: 1441-55

. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2025;48: 527-44.

. Al-Beshri A. Genomic Sequencing. 2024. In: Comprehensive Precision Medicine (First Edition).

. http://mayocl.in/2lj8hmL. 2018.

. Eren K, Taktakoglu N, Pirim I. 2022. DNA Sequencing Methods: From Past to Present. Faculty of Medicine. Eurasian J Med; 54(Suppl. 1): S47-S56

. Bagger F, Borgwardt L, Jespersen A, Hansen A. Whole Genomic Sequencing in Clinical Practice. 2024. BMC Medical Genomics 17(1).

. Polygenic Risk Scores In: National Human Genome Research Institute. 2024.

. Bgsi.kemkes.go.id

. Eren K, Taktakoglu N, Pirim I. 2022. DNA Sequencing Methods: From Past to Present. Faculty of Medicine. Eurasian J Med; 54(Suppl. 1): S47-S56.

. Brunetti A, Brunetti F, Chiefari E. 2014. Pharmacogenetics of Type 2 Diabetes Mellitus: An Example of Success in Clinical and Translational Medicine. WJTM;3(3); 141-9.

. Kim D, Gloyn A, Knowles J. 2021. Genetics of Type 2 Diabetes: Opportunities for Precision Medicine. JACC Focus Seminar. Journal of American College of Cardiology; 78; 496-507.

. Imamura M, Maeda S. 2024. Perpective on Genetic Studies of Type 2 Diabetes from the Genome-Wide Association Studies Era to Precision Medicine. JDI;15: 410-22.

. Fareed M, Chauchan W, Fatma R, Afzal M, Ahmed Z. 2022. Diabetes Epidemiology and Management. Elsevier.1-5.

. Singh S, Usman K, Banerjee M. 2016. Pharmacogenetic Studies Update in Type 2 Diabetes Mellitus;15: 302-15.

. Huang C, Florez J. 2011. Pharmacogenetics in Type 2 Diabetes: Potential Implications for Clinical Practice;13:1-9.

. Carrillo E, Valadez R, Huerta S. 2022. Pharmacogenetics of Metformin in Type 2 Diabetes: Perspectives for Latin America. Intechopen. 1-18.

. Florez J. 2017. Pharmacogenetics in Type 2 Diabetes: Precision Medicine or Discovery Tool?. Diabetologia;60: 800-7.

. Damanhouri Z, Alkreathy H, Alharbi F, Abualhamail H, Ahmad M. 2023. A review of the Impact of Pharmacogenetics and Metabolomics on the Efficacy of Metformin in Type 2 Diabetes. Ivspring;20(1): 142-150.

. Nasykhova Y, Tonyan Z, Mikhailova A, Danilova M, Glotov A. 2020. Pharmacogenetics of Type 2 Diabetes-Progress and Prospects. MDPI. 1-26.

. Floyd J, Psaty B. The Application of Genomics in Diabetes: Barriers to Discovery and Implementation. Diabetes Care;39: 1858-65.

. Pollastro C, Ziviello C, Costa V, Ciccodicola A. 2015. Pharmacogenomics of Drug Response in Type 2 Diabetes: Toward the Definition of Tailored Therapies?. Hindawi. 1-7.

. Nasykhova Y, Barbitoff Y, Serebryakova E, Katserov D, Glotov A. 2019. Recent Advances and Perpectives in Next Generation Sequencing Application to the Genetic Research of Type 2 Diabetes;10(7): 376-396.

. Mannino G, Andreozzi F, Sesti G. 2018. Pharmacogenetics of Type 2 Diabetes Mellitus, the Route Toward Tailored Medicine. Wiley.1-20.

. Qian Y, Lu F, Dong M, Lin Y, Li Huizhang, Chen J, et. al. 2012. Genetic Variants of IDE-KIF11-HHEX at 10q23.33 Associated with Type 2 Diabetes Risk: A Fine-Mapping Study in Chinese Population. Plos One.

. KIF11 kinesin family member 11 [ Homo sapiens (human). 2025. National Library Medicine.

. Maqbool M, Hoda N. 2017. GSK3 Inhibitors in the Therapeutic Development of Diabetes, Cancer and Neurodegeneration: Past, Present and Future; 23(29):4332-4350.

. Teli D, Gajjar A. 2023. Glycogen synthase kinase-3: A potential target for diabetes. Elsevier;9.

. Anggraini, D., Oktora, M. Z., & Hasni, D. (2025). Peran Indeks Aterogenik sebagai Penanda Komplikasi pada Diabetes Melitus Tipe 2: Tinjauan Pustaka. Scientific Journal, 4(2), 91-99.

. Anggraini, D., Haiga, Y., & Adelin, P. (2025). SKRINING KADAR GLUKOSA DAN KOLESTEROL DARAH PADA CALON JEMAAH HAJI SEBAGAI UPAYA DETEKSI DINI PENYAKIT METABOLIK. Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS, 3(2), 489-493.

. Putri, C. M. P., Mahatma, G., Oktora, M. Z., & Anggraini, D. (2025). Karakteristik Penderita Diabetes Melitus Tipe 2 Dengan Komplikasi Nefropati Diabetik di RSUP Dr. M. Djamil Padang. Scientific Journal, 4(3), 218-226.

. Khan A, Aziz M, Sourris K, Lee M, Dai A, Watson A, et.al. 2024. The Role of Activator Protein-1 Complex in Diabetes-Associated Atherosclerosis: Insights from Single-Cell RNA Sequencing;73(9):1495-1512.

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Published

2025-09-02

How to Cite

Pradwi Efendi, Y., Kam, A., Decroli, E., Aprilia, D., & Syahbuddin, S. (2025). The Role of Genomic Sequencing in Diabetes Mellitus. Scientific Journal, 4(5), 389–399. https://doi.org/10.56260/sciena.v4i5.279

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Section

Systematic Literature Review

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