Jahnavi S, Poovazhagi V, Mohan V, et al. Clinical and molecular characterization of neonatal diabetes and monogenic syndromic diabetes in Asian Indian children. Clin Genet. 2013;83:439–45. https://doi.org/10.1111/j.1399-0004.2012.01939.x.
Article PubMed CAS Google Scholar
Shoaib M, Ye Q, IglayReger H, et al. Evaluation of polygenic risk scores to differentiate between type 1 and type 2 diabetes. Genet Epidemiol. 2023;47:303–13.
Article PubMed PubMed Central CAS Google Scholar
Hodgson S, Huang QQ, Sallah N, et al. Integrating polygenic risk scores in the prediction of type 2 diabetes risk and subtypes in British Pakistanis and Bangladeshis: a population-based cohort study. PLOS Med. 2022;19:e1003981. https://doi.org/10.1371/journal.pmed.1003981.
Article PubMed PubMed Central CAS Google Scholar
Anjana RM, Unnikrishnan R, Deepa M, et al. Metabolic non-communicable disease health report of India: the ICMR-INDIAB national cross-sectional study (ICMR-INDIAB-17). Lancet Diabetes Endocrinol. 2023;11:474–89.
Joshi SR. Diabetes care in India. Ann Glob Health. 2016;81:830. https://doi.org/10.1016/j.aogh.2016.01.002.
Siddiqui MK, Anjana RM, Dawed AY, et al. Young-onset diabetes in Asian Indians is associated with lower measured and genetically determined beta cell function. Diabetologia. 2022;65:973–83.
Article PubMed PubMed Central CAS Google Scholar
Joseph A, Thirupathamma M, Mathews E, Alagu M. Genetics of type 2 diabetes mellitus in Indian and global population: a review. Egypt J Med Hum Genet. 2022;23:135.
Article PubMed PubMed Central Google Scholar
Kim J, Jensen A, Ko S, et al. Systematic heritability and heritability enrichment analysis for diabetes complications in UK biobank and ACCORD studies. Diabetes. 2022;71:1137–48.
Article PubMed PubMed Central CAS Google Scholar
Maloney KA, Mizerik E, King RH, et al. Genetic counseling in diabetes mellitus: a practice resource of the National Society of Genetic Counselors. J Genet Couns. 2023. https://doi.org/10.1002/jgc4.1744.
Timasheva Y, Balkhiyarova Z, Avzaletdinova D, et al. Integrating common risk factors with polygenic scores improves the prediction of type 2 diabetes. Int J Mol Sci. 2023;24:984.
Article PubMed PubMed Central CAS Google Scholar
Perišić MM, Vladimir K, Karpov S, Štorga M, Mostashari A, Khanin R. Polygenic risk score and risk factors for gestational diabetes. J Pers Med. 2022;12:1381.
Article PubMed PubMed Central Google Scholar
Leslie RD, Ma RCW, Franks PW, Nadeau KJ, Pearson ER, Redondo MJ. Understanding diabetes heterogeneity: key steps towards precision medicine in diabetes. Lancet Diabetes Endocrinol. 2023;11:848–60.
Marucci A, Rutigliano I, Fini G, et al. Role of actionable genes in pursuing a true approach of precision medicine in monogenic diabetes. Genes (Basel). 2022;13:117.
Article PubMed CAS Google Scholar
Chung WK, Erion K, Florez JC, et al. Precision medicine in diabetes: a consensus report from the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD). Diabetes Care. 2020;43:1617–35.
Article PubMed PubMed Central CAS Google Scholar
Mameli C, Triolo TM, Chiarelli F, Rewers M, Zuccotti G, Simmons KM. Lessons and gaps in the prediction and prevention of type 1 diabetes. Pharmacol Res. 2023;193:106792.
Klak M, Gomółka M, Kowalska P, et al. Type 1 diabetes: genes associated with disease development. Cent J Immunol. 2020;45:439–53.
Kirk RL. Genetic counselling in insulin-dependent diabetes. J Paediatr Child Health. 1981;17:165–165. https://doi.org/10.1111/j.1440-1754.1981.tb01929.x.
Lee HS, Hwang JS. Genetic aspects of type 1 diabetes. Ann Pediatr Endocrinol Metab. 2019;24:143–8.
Article PubMed PubMed Central Google Scholar
Wu G-C, Pan H-F, Leng R-X, et al. Emerging role of long noncoding RNAs in autoimmune diseases. Autoimmun Rev. 2015;14:798–805.
Article PubMed CAS Google Scholar
Golan D, Lander ES, Rosset S. Measuring missing heritability: inferring the contribution of common variants. Proc Natl Acad Sci USA. 2014;111:E5272–81.
Article PubMed PubMed Central CAS Google Scholar
Wu Y, Ding Y, Tanaka Y, Zhang W. Risk factors contributing to type 2 diabetes and recent advances in the treatment and prevention. Int J Med Sci. 2014;11(11):1185.
Article PubMed PubMed Central Google Scholar
Vujkovic M, Keaton JM, Lynch JA, et al. Discovery of 318 new risk loci for type 2 diabetes and related vascular outcomes among 14 million participants in a multi-ancestry meta-analysis. Nat Genet. 2020;52:680–91.
Article PubMed PubMed Central CAS Google Scholar
Bešević J, Lacey B, Conroy M, et al. New horizons: the value of UK Biobank to research on endocrine and metabolic disorders. J Clin Endocrinol Metab. 2022;107:2403–10.
Article PubMed PubMed Central Google Scholar
Pemmasani SK, Atmakuri S, Acharya A. Genome-wide polygenic risk score for type 2 diabetes in Indian population. Sci Rep. 2023;13:11568.
Article PubMed PubMed Central CAS Google Scholar
Yajnik CS, Wagh R, Kunte P, et al. Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study. Lancet Reg Health Southeast Asia. 2023;14:100182.
Article PubMed PubMed Central Google Scholar
Mahajan A, Spracklen CN, Zhang W, et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022;54:560–72.
Article PubMed PubMed Central CAS Google Scholar
Cai L, Wheeler E, Kerrison ND, et al. Genome-wide association analysis of type 2 diabetes in the EPIC-InterAct study. Sci Data. 2020;7:393.
Article PubMed PubMed Central Google Scholar
Shoily SS, Ahsan T, Fatema K, Sajib AA. Common genetic variants and pathways in diabetes and associated complications and vulnerability of populations with different ethnic origins. Sci Rep. 2021;11:7504.
Article PubMed PubMed Central CAS Google Scholar
Cole JB, Florez JC. Genetics of diabetes mellitus and diabetes complications. Nat Rev Nephrol. 2020;16:377–90.
Article PubMed PubMed Central Google Scholar
Hahn S-J, Kim S, Choi YS, Lee J, Kang J. Prediction of type 2 diabetes using genome-wide polygenic risk score and metabolic profiles: a machine learning analysis of population-based 10-year prospective cohort study. EBioMedicine. 2022;86:104383.
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