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2. Genome‐wide association and polygenic risk score estimation of type 2 diabetes mellitus in Kinh Vietnamese—A pilot study.

Author

Mai, Thao Phuong, Luong, Bac An, Ma, Phat Tung, Tran, Thang Viet, Dinh Ngo, Tat Thang, Hoang, Chi Khanh, Van Tran, Luong, Le, Bao Hoang, Vu, Hoang Anh, Le, Linh Hoang Gia, Le, Khuong Thai, Truong, Steven, Tran, Nam Quang, and Do, Minh Duc

Subjects
GENETIC risk score, TYPE 2 diabetes, GENOME-wide association studies, VIETNAMESE people, QUALITY control standards
Abstract

A genome‐wide association study (GWAS) is a powerful tool in investigating genetic contribution, which is a crucial factor in the development of complex multifactorial diseases, such as type 2 diabetes mellitus. Type 2 diabetes mellitus is a major healthcare burden in the Western Pacific region; however, there is limited availability of genetic‐associated data for type 2 diabetes in Southeast Asia, especially among the Kinh Vietnamese population. This lack of information exacerbates global healthcare disparities. In this study, 997 Kinh Vietnamese individuals (503 with type 2 diabetes and 494 controls) were prospectively recruited and their clinical and paraclinical information was recorded. DNA samples were collected and whole genome genotyping was performed. Standard quality control and genetic imputation using the 1000 Genomes database were executed. A polygenic risk score for type 2 diabetes was generated in different models using East Asian, European, and mix ancestry GWAS summary statistics as training datasets. After quality control and genetic imputation, 107 polymorphisms reached suggestive statistical significance for GWAS (≤5 × 10−6) and rs11079784 was one of the potential markers strongly associated with type 2 diabetes in the studied population. The best polygenic risk score model predicting type 2 diabetes mellitus had AUC = 0.70 (95% confidence interval = 0.62–0.77) based on a mix of ancestral GWAS summary statistics. These data show promising results for genetic association with a polygenic risk score estimation in the Kinh Vietnamese population; the results also highlight the essential role of population diversity in a GWAS of type 2 diabetes mellitus. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Association of ADIPOQ Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndromein a Kinh Vietnamese Population [Corrigendum]

Author

Truong,Steven, Tran,Nam Quang, Ma,Phat Tung, Hoang,Chi Khanh, Le,Bao Hoang, Dinh,Thang, Tran,Luong, Tran,Thang Viet, Gia Le,Linh Hoang, Vu,Hoang Anh, Mai,Thao Phuong, Do,Minh Duc, Truong,Steven, Tran,Nam Quang, Ma,Phat Tung, Hoang,Chi Khanh, Le,Bao Hoang, Dinh,Thang, Tran,Luong, Tran,Thang Viet, Gia Le,Linh Hoang, Vu,Hoang Anh, Mai,Thao Phuong, and Do,Minh Duc

Abstract

Truong S, Tran NQ, Ma PT, et al. Diabetes Metab Syndr Obes. 2022;15:307–319. The authors have advised that the funding statement on page 316 is incorrect. The text “This work was supported by the MIT UROP Program’s Peter J. Eloranta Research Fellowship and the National Foundation for Science & Technology Development (NAFOSTED), grant number 108.01-2019.319. We thank Christine Mendonca and the Joslin Diabetes Center DRC Core for their assistance in genotyping samples” should read “This research is funded by Vietnam National Foundation for Science and Technology Development (NAFOSTED) under grant number 108.01-2019.319 and the MIT UROP Program’s Peter J. Eloranta Research Fellowship. We thank Christine Mendonca and the Joslin Diabetes Center DRC Core for their assistance in genotyping samples”. Read the original article

Published
2022

8. Association of ADIPOQ Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndrome in a Kinh Vietnamese Population

Author

Truong,Steven, Tran,Nam Quang, Ma,Phat Tung, Hoang,Chi Khanh, Le,Bao Hoang, Dinh,Thang, Tran,Luong, Tran,Thang Viet, Gia Le,Linh Hoang, Vu,Hoang Anh, Mai,Thao Phuong, Do,Minh Duc, Truong,Steven, Tran,Nam Quang, Ma,Phat Tung, Hoang,Chi Khanh, Le,Bao Hoang, Dinh,Thang, Tran,Luong, Tran,Thang Viet, Gia Le,Linh Hoang, Vu,Hoang Anh, Mai,Thao Phuong, and Do,Minh Duc

Abstract

Steven Truong,1,* Nam Quang Tran,2,3,* Phat Tung Ma,2,3 Chi Khanh Hoang,3 Bao Hoang Le,3 Thang Dinh,3 Luong Tran,3 Thang Viet Tran,2,3 Linh Hoang Gia Le,4 Hoang Anh Vu,4 Thao Phuong Mai,5 Minh Duc Do4 1Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA; 2Department of Endocrinology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam; 3Department of Endocrinology, University Medical Center, Ho Chi Minh City, Vietnam; 4Center for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam; 5Department of Physiology-Pathophysiology-Immunology, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam*These authors contributed equally to this workCorrespondence: Minh Duc DoCenter for Molecular Biomedicine, University of Medicine and Pharmacy at Ho Chi Minh City, 217 Hong Bang, District 5, Ho Chi Minh City, 700000, Vietnam, Tel +84 932999989, Email ducminh@ump.edu.vnPurpose: Genetic factors play an important role in the development of type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS). However, few genetic association studies related to these disorders have been performed with Vietnamese subjects. In this study, the potential associations of ADIPOQ single nucleotide polymorphisms (SNPs) with T2DM and MetS in a Kinh Vietnamese population were investigated.Patients and Methods: A study with 768 subjects was conducted to examine the associations of four ADIPOQ SNPs (rs266729, rs1501299, rs3774261, and rs822393) primarily with T2DM and secondarily with MetS. The TaqMan SNP genotyping assay was used to determine genotypes from subjects’ DNA samples.Results: After statistical adjustment for age, sex, and body mass index, the ADIPOQ SNP rs266729 was found to be associated with increased risk of T2DM under multiple inheritance models: codominant (OR = 2.30, 95% CI = 1.16– 4.58), recessive (OR = 2.17, 95

Published
2022

9. Association of ADIPOQ Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndromein a Kinh Vietnamese Population [Corrigendum]

Author

Truong, Steven, primary, Tran, Nam Quang, additional, Ma, Phat Tung, additional, Hoang, Chi Khanh, additional, Le, Bao Hoang, additional, Dinh, Thang, additional, Tran, Luong, additional, Tran, Thang Viet, additional, Gia Le, Linh Hoang, additional, Vu, Hoang Anh, additional, Mai, Thao Phuong, additional, and Do, Minh Duc, additional

Published
2022
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10. Association of ADIPOQ Single-Nucleotide Polymorphisms with the Two Clinical Phenotypes Type 2 Diabetes Mellitus and Metabolic Syndrome in a Kinh Vietnamese Population

Author

Truong, Steven, primary, Tran, Nam Quang, additional, Ma, Phat Tung, additional, Hoang, Chi Khanh, additional, Le, Bao Hoang, additional, Dinh, Thang, additional, Tran, Luong, additional, Tran, Thang Viet, additional, Gia Le, Linh Hoang, additional, Vu, Hoang Anh, additional, Mai, Thao Phuong, additional, and Do, Minh Duc, additional

Published
2022
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14. Association of KCNJ11and ABCC8single-nucleotide polymorphisms with type 2 diabetes mellitus in a Kinh Vietnamese population

Author

Tran, Nam Quang, Truong, Steven D., Ma, Phat Tung, Hoang, Chi Khanh, Le, Bao Hoang, Dinh, Thang Tat Ngo, Van Tran, Luong, Tran, Thang Viet, Le, Linh Hoang Gia, Le, Khuong Thai, Nguyen, Hien Thanh, Vu, Hoang Anh, Mai, Thao Phuong, and Do, Minh Duc

Abstract

Type 2 diabetes mellitus (T2DM) is a genetically influenced disease, but few studies have been performed to investigate the genetic basis of T2DM in Vietnamese subjects. Thus, the potential associations of KCNJ11and ABCC8single nucleotide polymorphisms (SNPs) with T2DM were investigated in a Kinh Vietnamese population. A cross-sectional study consisting of 404 subjects including 202 T2DM cases and 202 non-T2DM controls was designed to examine the potential associations of 4 KCNJ11and ABCC8SNPs (rs5219, rs2285676, rs1799859, and rs757110) with T2DM. Genotypes were identified based on restriction fragment length polymorphism and tetra-primer amplification refractory mutation system polymerase chain reaction. After statistically adjusting for age, sex, and BMI, rs5219 was found to be associated with an increased risk of T2DM under 2 inheritance models: codominant (OR = 2.15, 95% confidence intervals [CI] = 1.09–4.22) and recessive (OR = 2.08, 95%CI = 1.09–3.94). On the other hand, rs2285676, rs1799859, and rs757110 were not associated with an increased risk of T2DM. Haplotype analysis elucidated a strong linkage disequilibrium between the 3 SNPs, rs5219, rs2285676, and rs757110. The haplotype rs5219(A)/rs2285676(T)/rs757110(G) was associated with an increased risk of T2DM (OR = 1.42, 95%CI = 1.01–1.99). The results show that rs5219 is a lead candidate SNP associated with an increased risk of developing T2DM in the Kinh Vietnamese population. Further functional characterization is needed to uncover the mechanism underlying the potential genotype-phenotype associations.

Published
2022
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