1) Al-Muammar, M. N., Aljuraiban, G. S., AlFaris, N. A., & Alghamdi, A. S. (2025). Interaction between
the TCF7L2 gene and dietary intake on metabolic syndrome risk factors among Saudi Arabian adults.
Genes, 16(2), 198–211.
2) Azhar, S., Khan, M. A., Ahmed, R., & Hussain, M. (2026). Risk stratification and dyslipidemia in
Pakistani patients with Type 2 Diabetes Mellitus carrying TCF7L2 polymorphisms. Journal of Diabetes
Research, 2026, 1–11.
3) Ding, W., Xu, Y., & Zhang, M. (2021). Genetic susceptibility of Type 2 Diabetes Mellitus in Asian
populations: Current evidence and future directions. Frontiers in Genetics, 12, 732512.
https://doi.org/10.3389/fgene.2021.732512
4) Gholami, M., Rahimi, F., Hosseini, S. M., & Karimi, M. (2023). Impact of TCF7L2 intronic mutations
on long-term microvascular outcomes in Iranian patients with Type 2 Diabetes Mellitus. Diabetes &
Metabolic Syndrome: Clinical Research & Reviews, 17(4), 102705.
5) Higgins, J. P. T., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M. J., & Welch, V. A. (Eds.).
(2022). Cochrane handbook for systematic reviews of interventions (Version 6.3). John Wiley & Sons.
6) International Diabetes Federation. (2025). IDF Diabetes Atlas (11th ed.). International Diabetes
Federation.
7) Islam, M. R., Rahman, M. A., Chowdhury, M. S., & Karim, M. (2024). TCF7L2 polymorphisms and
serum adiponectin levels: Unraveling gene–adipose interdependence in Bangladeshi patients with Type
2 Diabetes Mellitus. BMC Endocrine Disorders, 24, 112.
8) Joanna Briggs Institute. (2020). JBI Manual for Evidence Synthesis. Joanna Briggs Institute.
https://doi.org/10.46658/JBIMES-20-01
9) Kim, H. J., Lee, S. H., Park, J. H., & Choi, K. (2023). Distinct pathophysiological contribution of
TCF7L2 variants to early-onset Type 2 Diabetes Mellitus in a Korean population. Diabetes Research
and Clinical Practice, 201, 110721.
10) Kitiyakara, C., Pongsathorn, S., Chaiyasit, N., & Boonsawat, W. (2022). TCF7L2 genetic variants predict
primary metformin treatment failure in Thai patients with Type 2 Diabetes Mellitus. Pharmacogenomics
Journal, 22(5), 356–365.
11) Madhu, S. V., Sharma, P., Tandon, N., & Gupta, R. (2022). Novel postprandial lipid mechanisms
associated with TCF7L2 polymorphisms in Asian Indians. Diabetes Research and Clinical Practice,
190, 109981.
12) Mahajan, A., Spracklen, C. N., Zhang, W., et al. (2022). Multi-ancestry genetic study of Type 2 Diabetes
highlights the role of TCF7L2 and other susceptibility loci. Nature Genetics, 54(5), 560–571.
https://doi.org/10.1038/s41588-022-01058-3
13) Nguyen, T. H., Tran, H. T., Le, P. N., & Vo, T. T. (2024). Gene–environment interaction of TCF7L2
rs7903146 and physical activity levels in urbanizing Vietnamese communities. BMC Public Health, 24,
1783.
14) Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021).
The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.
https://doi.org/10.1136/bmj.n71
15) Piao, L., Wang, X., Kim, J., & Li, Y. (2019). Association of transcription factor 7-like 2 (TCF7L2) gene
polymorphism with Type 2 Diabetes Mellitus in Chinese Korean ethnicity population. Diabetes &
Metabolism Journal, 43(6), 821–830.
16) Rajan, R., Nair, A. K., Joseph, S., & Menon, V. (2023). Evaluation of TCF7L2 gene polymorphisms and
their impact on glycemic control and treatment response in patients with Type 2 Diabetes Mellitus.
Journal of Diabetes Investigation, 14(9), 1374–1384.
17) Rahman, N. A., Lim, C. Y., Tan, S. Y., & Abdullah, N. (2025). TCF7L2 multi-locus profiling and longterm risk of overt Type 2 Diabetes Mellitus following gestational diabetes in Malaysian women. Diabetes
Therapy, 16(1), 85–98.
18) Sato, Y., Nakamura, K., Ito, H., & Yamamoto, T. (2021). Evaluation of core intronic TCF7L2 single
nucleotide polymorphisms in a large Japanese case–control cohort. Human Genetics, 140(11), 1545–
1557.
19) Sharma, R., Verma, A., Singh, P., & Kumar, N. (2025). Identification and association of TCF7L2 gene
polymorphisms with Type 2 Diabetes risk in a North Indian population. Molecular Biology Reports,
52(3), 1845–1857.
20) Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., et al. (2019). RoB
2: A revised tool for assessing risk of bias in randomized trials. BMJ, 366, l4898.
https://doi.org/10.1136/bmj.l4898
21) Sun, X., Yu, W., Hu, C., & Jia, W. (2021). Advances in understanding the genetic architecture of Type
2 Diabetes Mellitus in Asian populations. Journal of Diabetes Investigation, 12(8), 1329–1340.
https://doi.org/10.1111/jdi.13562
22) Wang, J., Li, Y., Zhang, X., & Chen, H. (2025). Association of TCF7L2 rs7903146 (C/T) polymorphism
with Type 2 Diabetes Mellitus in a Chinese population: Clinical characteristics and ethnic context. BMC
Endocrine Disorders, 25, 97.
23) World Health Organization. (2025). Diabetes.
https://www.who.int/news-room/factsheets/detail/diabetes
24) Xie, W., Zhang, Y., Liu, J., & Wang, Q. (2020). TCF7L2 polymorphisms and susceptibility to Type 2
Diabetes Mellitus: A comprehensive review of molecular mechanisms. Frontiers in Endocrinology, 11,
613.
https://doi.org/10.3389/fendo.2020.00613
25) Zhang, P., Li, H., Wang, Y., & Liu, Z. (2022). Multi-SNP cumulative risk associated with TCF7L2
polymorphisms in central Chinese populations. BMC Medical Genomics, 15, 182.
26) American Diabetes Association. (2025). Classification and diagnosis of diabetes: Standards of care in
diabetes—2025. Diabetes Care, 48(Supplement_1), S20–S39.
https://doi.org/10.2337/dc25-S002
27) Florez, J. C. (2007). The new Type 2 Diabetes gene TCF7L2. Current Opinion in Clinical Nutrition and
Metabolic Care, 10(4), 391–396.
https://doi.org/10.1097/MCO.0b013e3281e72e7e
28) Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., et al. (2006). Variant of transcription factor 7-like 2
(TCF7L2) gene confers risk of Type 2 Diabetes. Nature Genetics, 38(3), 320–323.
https://doi.org/10.1038/ng1732
29) Lyssenko, V., Lupi, R., Marchetti, P., et al. (2007). Mechanisms by which common variants in the
TCF7L2 gene increase risk of Type 2 Diabetes. Journal of Clinical Investigation, 117(8), 2155–2163.
https://doi.org/10.1172/JCI30706
30) McCarthy, M. I. (2017). Painting a new picture of personalised medicine for diabetes. Diabetologia,
60(5), 793–799.
https://doi.org/10.1007/s00125-017-4210-x
31) Pearson, E. R. (2019). Type 2 Diabetes: A multifaceted disease. Diabetologia, 62(7), 1107–1112.
https://doi.org/10.1007/s00125-019-4909-y
32) Prasad, R. B., & Groop, L. (2015). Genetics of Type 2 Diabetes—Pitfalls and possibilities. Genes, 6(1),
87–123.
https://doi.org/10.3390/genes6010087
33) Sladek, R., Rocheleau, G., Rung, J., et al. (2007). A genome-wide association study identifies novel risk
loci for Type 2 Diabetes. Nature, 445(7130), 881–885.
https://doi.org/10.1038/nature05616
34) Tong, Y., Lin, Y., Zhang, Y., Yang, J., Liu, H., Zhang, B., & Zhao, Y. (2009). Association between
TCF7L2 gene polymorphisms and susceptibility to Type 2 Diabetes Mellitus: A large Human Genome
Epidemiology (HuGE) review and meta-analysis. BMC Medical Genetics, 10, 15.
https://doi.org/10.1186/1471-2350-10-15
35) Voight, B. F., Scott, L. J., Steinthorsdottir, V., et al. (2010). Twelve Type 2 Diabetes susceptibility loci
identified through large-scale association analysis. Nature Genetics, 42(7), 579–589.
https://doi.org/10.1038/ng.609
36) Wheeler, E., Leong, A., Liu, C. T., et al. (2017). Impact of common genetic determinants of Hemoglobin
A1c on Type 2 Diabetes risk and diagnosis across ancestries. PLoS Medicine, 14(9), e1002383.
https://doi.org/10.1371/journal.pmed.1002383
37) Wray, N. R., Lin, T., Austin, J., et al. (2021). From basic science to clinical application: Polygenic risk
scores for common diseases. Nature Reviews Genetics, 22(9), 533–548.
https://doi.org/10.1038/s41576-
021-00365-5
38) Yabe, D., Seino, Y., Fukushima, M., & Seino, S. (2015). β-cell dysfunction versus insulin resistance in
the pathogenesis of Type 2 Diabetes in East Asians. Current Diabetes Reports, 15(6), 602.
https://doi.org/10.1007/s11892-015-0602-9
39) Zheng, Y., Ley, S. H., & Hu, F. B. (2018). Global aetiology and epidemiology of Type 2 Diabetes
Mellitus and its complications. Nature Reviews Endocrinology, 14(2), 88–98.
https://doi.org/10.1038/nrendo.2017.151
40) Zimmet, P., Alberti, K. G. M. M., Magliano, D. J., & Bennett, P. H. (2016). Diabetes mellitus statistics
on prevalence and prevention: A global perspective. Nature Reviews Endocrinology, 12(10), 616–622.
https://doi.org/10.1038/nrendo.2016.107