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Genetics
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SLC30A8 Rare Variant Modify Contribution of Common Genetic and Lifestyle Factors toward Type 2 Diabetes Mellitus
Hye-Mi Jang, Mi Yeong Hwang, Yi Seul Park, Bong-Jo Kim, Young Jin Kim
Diabetes Metab J. 2026;50(2):385-395.   Published online August 13, 2025
DOI: https://doi.org/10.4093/dmj.2024.0830
  • 2,634 View
  • 93 Download
  • 1 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study aimed to investigate the modifying effects of rare genetic variants on the risk of type 2 diabetes mellitus (T2DM) in the context of common genetic and lifestyle factors.
Methods
We conducted a comprehensive analysis of genetic and lifestyle factors associated with T2DM in a cohort of 146,284 Korean individuals. Among them, 4,603 individuals developed T2DM during the follow-up period of up to 17 years. We calculated a polygenic risk score (PRS) for T2DM and identified carriers of the rare allele I349F at SLC30A8. A Healthy Lifestyle Score (HLS) was also derived from physical activity, obesity, smoking, diet, and sodium intake levels. Using Cox proportional hazards models, we analyzed how PRS, HLS, and I349F influenced T2DM incidence.
Results
Results showed that high PRS and poor lifestyle were associated with increased risk. Remarkably, I349F carriers exhibited a lower T2DM prevalence (5.7% compared to 11.7% in non-carriers) and reduced the impact of high PRS from 23.18% to 12.70%. This trend was consistent across different HLS categories, with I349F carriers displaying a lower risk of T2DM.
Conclusion
The integration of common and rare genetic variants with lifestyle factors enhanced T2DM predictability in the Korean population. Our findings highlight the critical role of rare genetic variants in risk assessments and suggest that standard PRS and HLS metrics alone may be inadequate for predicting T2DM risk among carriers of such variants.

Citations

Citations to this article as recorded by  
  • Personalised Nutrition in Obesity and Prediabetes: Do Genotypes Matter?
    Magdalena Bossowska, Filip Bossowski, Edyta Adamska-Patruno, Katarzyna Maliszewska, Adam Krętowski
    Nutrients.2026; 18(5): 815.     CrossRef
  • Differential contributions of cardiovascular health-related lifestyle factors to epigenetic ageing: implications for healthy longevity
    Da-eun Lee, Yi Seul Park, Hye-Mi Jang, Bong-Jo Kim, Young Jin Kim, Sung-il Cho, Kyeezu Kim
    BMC Medicine.2025;[Epub]     CrossRef
Response
Original Article
Genome-Wide Association Study Identifies Two Novel Loci with Sex-Specific Effects for Type 2 Diabetes Mellitus and Glycemic Traits in a Korean Population
Min Jin Go, Joo-Yeon Hwang, Tae-Joon Park, Young Jin Kim, Ji Hee Oh, Yeon-Jung Kim, Bok-Ghee Han, Bong-Jo Kim
Diabetes Metab J. 2014;38(5):375-387.   Published online October 17, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.5.375
  • 10,497 View
  • 55 Download
  • 29 Web of Science
  • 26 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

Until recently, genome-wide association study (GWAS)-based findings have provided a substantial genetic contribution to type 2 diabetes mellitus (T2DM) or related glycemic traits. However, identification of allelic heterogeneity and population-specific genetic variants under consideration of potential confounding factors will be very valuable for clinical applicability. To identify novel susceptibility loci for T2DM and glycemic traits, we performed a two-stage genetic association study in a Korean population.

Methods

We performed a logistic analysis for T2DM, and the first discovery GWAS was analyzed for 1,042 cases and 2,943 controls recruited from a population-based cohort (KARE, n=8,842). The second stage, de novo replication analysis, was performed in 1,216 cases and 1,352 controls selected from an independent population-based cohort (Health 2, n=8,500). A multiple linear regression analysis for glycemic traits was further performed in a total of 14,232 nondiabetic individuals consisting of 7,696 GWAS and 6,536 replication study participants. A meta-analysis was performed on the combined results using effect size and standard errors estimated for stage 1 and 2, respectively.

Results

A combined meta-analysis for T2DM identified two new (rs11065756 and rs2074356) loci reaching genome-wide significance in CCDC63 and C12orf51 on the 12q24 region. In addition, these variants were significantly associated with fasting plasma glucose and homeostasis model assessment of β-cell function. Interestingly, two independent single nucleotide polymorphisms were associated with sex-specific stratification in this study.

Conclusion

Our study showed a strong association between T2DM and glycemic traits. We further observed that two novel loci with multiple diverse effects were highly specific to males. Taken together, these findings may provide additional insights into the clinical assessment or subclassification of disease risk in a Korean population.

Citations

Citations to this article as recorded by  
  • Family history of type 2 diabetes and the risk of type 2 diabetes among young and middle‐aged adults
    Ken R. Smith, Huong Meeks, David Curtis, Barbara B. Brown, Kyle Kole, Lori Kowaleski‐Jones
    Chronic Diseases and Translational Medicine.2025; 11(1): 46.     CrossRef
  • Relationship between HECTD4 gene variants, obesity, and coffee consumption
    Min-Jeong Kim, Hyun-Seok Jin, Yong-Bin Eom
    European Journal of Clinical Nutrition.2025; 79(3): 200.     CrossRef
  • Interactions between Bitter Taste Receptor Gene Variants and Dietary Intake Are Associated with the Incidence of Type 2 Diabetes Mellitus in Middle-Aged and Older Korean Adults
    Kyung Won Lee, Dayeon Shin
    International Journal of Molecular Sciences.2023; 24(3): 2199.     CrossRef
  • Evaluating machine learning-powered classification algorithms which utilize variants in the GCKR gene to predict metabolic syndrome: Tehran Cardio-metabolic Genetics Study
    Mahdi Akbarzadeh, Nadia Alipour, Hamed Moheimani, Asieh Sadat Zahedi, Firoozeh Hosseini-Esfahani, Hossein Lanjanian, Fereidoun Azizi, Maryam S. Daneshpour
    Journal of Translational Medicine.2022;[Epub]     CrossRef
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    Yoo Jeong Lee, Hansongyi Lee, Han Byul Jang, Min-Gyu Yoo, Sumin Im, Soo Kyung Koo, Hye-Ja Lee
    Archives of Toxicology.2022; 96(9): 2487.     CrossRef
  • Impaired fasting glucose and development of chronic kidney disease in non-diabetic population: a Mendelian randomization study
    Hyoungnae Kim, Suyeon Park, Soon Hyo Kwon, Jin Seok Jeon, Dong Cheol Han, Hyunjin Noh
    BMJ Open Diabetes Research & Care.2020; 8(1): e001395.     CrossRef
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    Taiyue Jin, Jiyoung Youn, An Na Kim, Moonil Kang, Kyunga Kim, Joohon Sung, Jung Eun Lee
    Nutrients.2020; 12(8): 2228.     CrossRef
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    Mahmoud M. Sirdah, N. Scott Reading
    Clinical Genetics.2020; 98(6): 525.     CrossRef
  • Association of transcription factor 7-like 2 (TCF7L2) gene polymorphism with type 2 diabetes mellitus in Chinese Korean ethnicity population
    Kui-Chen Zhou, Hong-Wei Liu, Chen Wang, Yan-Jun Fu, Feng Jin
    Medicine.2019; 98(5): e14288.     CrossRef
  • Association of Fasting Glucose Level with Neutrophil-Lymphocyte Ratio Compared to Leukocyte Count and Serum C-Reactive Protein
    Jin-Kyu Kim, Ah-Young Lee, Jee-Hyun Kang, Byung-Yeon Yu, Seong-Ju Kim
    Korean Journal of Family Medicine.2018; 39(1): 42.     CrossRef
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    Scientific Reports.2018;[Epub]     CrossRef
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    Yong He Chong, Qiao Fan, Yih Chung Tham, Alfred Gan, Shu Pei Tan, Gavin Tan, Jie Jin Wang, Paul Mitchell, Tien Yin Wong, Ching-Yu Cheng
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    Juan De Toro-Martín, Benoit Arsenault, Jean-Pierre Després, Marie-Claude Vohl
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    Jung Hun Ohn, Soo Heon Kwak, Young Min Cho, Soo Lim, Hak Chul Jang, Kyong Soo Park, Nam H Cho
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  • No Interaction with Alcohol Consumption, but Independent Effect of C12orf51 (HECTD4) on Type 2 Diabetes Mellitus in Korean Adults Aged 40-69 Years: The KoGES_Ansan and Ansung Study
    Jihye Kim, Bermseok Oh, Ji Eun Lim, Mi Kyung Kim, C. Mary Schooling
    PLOS ONE.2016; 11(2): e0149321.     CrossRef
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    Sungkyoung Choi, Sunghwan Bae, Taesung Park
    Genomics & Informatics.2016; 14(4): 138.     CrossRef
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    Sohee Oh, Iksoo Huh, Seung Yeoun Lee, Taesung Park
    Journal of Bioinformatics and Computational Biology.2016; 14(05): 1644005.     CrossRef
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    Soo Heon Kwak, Kyong Soo Park
    Experimental & Molecular Medicine.2016; 48(3): e220.     CrossRef
  • Statistical power considerations in genotype-based recall randomized controlled trials
    Naeimeh Atabaki-Pasdar, Mattias Ohlsson, Dmitry Shungin, Azra Kurbasic, Erik Ingelsson, Ewan R. Pearson, Ashfaq Ali, Paul W. Franks
    Scientific Reports.2016;[Epub]     CrossRef
  • The role of vitamin D, obesity and physical exercise in regulation of glycemia in Type 2 Diabetes Mellitus patients
    Abdulbari Bener, Abdulla O.A.A. Al-Hamaq, Eda Merve Kurtulus, Waleed K. Abdullatef, Mahmoud Zirie
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    Karen L. Mohlke, Michael Boehnke
    Human Molecular Genetics.2015; 24(R1): R85.     CrossRef
  • Letter: Genome-Wide Association Study Identifies Two Novel Loci with Sex-Specific Effects for Type 2 Diabetes Mellitus and Glycemic Traits in a Korean Population (Diabetes Metab J2014;38:375-87)
    Soo Heon Kwak
    Diabetes & Metabolism Journal.2014; 38(6): 484.     CrossRef
  • Response: Genome-Wide Association Study Identifies Two Novel Loci with Sex-Specific Effects for Type 2 Diabetes Mellitus and Glycemic Traits in a Korean Population (Diabetes Metab J2014;38:375-87)
    Min Jin Go, Bong-Jo Kim
    Diabetes & Metabolism Journal.2014; 38(6): 487.     CrossRef

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