{"title":"将GWAS转化为临床实践:糖尿病风险分层的多基因风险评分的实际应用","authors":"Inhwa Jeong","doi":"10.1093/clinchem/hvaf086.613","DOIUrl":null,"url":null,"abstract":"Background Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder which arises from a complex interplay of genetic, environmental and behavioral factors. We evaluated the clinical utility of polygenic risk score (PRS)-based multigene panel test for predicting diabetes mellitus (DM) in a healthy population. Methods Overall, 302 individuals underwent genetic testing using the HelloGene™ DM panel, which comprises four DM-related SNPs (CDKAL1, HHEX, KCNQ1, TCF7L2). Each genotype was analyzed using a PRS algorithm based on a dataset of 70,000 Koreans, classifying participants into four risk groups (low, moderate, high, and very high). Fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and body mass index were measured at baseline and after at least 3 years of follow-up. Smoking status, alcohol use, and exercise status were recorded. Results No significant differences in age, sex, or lifestyle habits were observed among the PRS groups. The ‘very high risk’ group had significantly higher 3-year follow-up FBG (p=0.001) and baseline/3-year follow-up HbA1c (p=0.025 and 0.001, respectively) levels (Table 1). The ‘very high risk’ group had a 4.5-fold higher risk of developing DM compared to other groups (Table 2A). Smoking was a significant modifier of genetic risk; smokers in the ‘very high-risk’ group had a 25% greater likelihood of developing DM. CDKAL1, HHEX, and TCF7L2 genotype carriers were prevalent in the individuals diagnosed with DM, while HHEX carriers in the ‘high risk’ group showed the greatest susceptibility, especially among current smokers (Table 2B). Conclusion PRS-based genetic testing demonstrated clinical utility in DM risk prediction. Elevated FBG and HbA1c levels in the high PRS group emphasize the importance of early identification. Smoking significantly increases genetic risk, underscoring the need for targeted interventions in genetically susceptible individuals.","PeriodicalId":10690,"journal":{"name":"Clinical chemistry","volume":"62 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2025-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"B-225 Translating GWAS into Clinical Practice: Real-World Utility of a Polygenic Risk Score for Diabetes Risk Stratification\",\"authors\":\"Inhwa Jeong\",\"doi\":\"10.1093/clinchem/hvaf086.613\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder which arises from a complex interplay of genetic, environmental and behavioral factors. We evaluated the clinical utility of polygenic risk score (PRS)-based multigene panel test for predicting diabetes mellitus (DM) in a healthy population. Methods Overall, 302 individuals underwent genetic testing using the HelloGene™ DM panel, which comprises four DM-related SNPs (CDKAL1, HHEX, KCNQ1, TCF7L2). Each genotype was analyzed using a PRS algorithm based on a dataset of 70,000 Koreans, classifying participants into four risk groups (low, moderate, high, and very high). Fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and body mass index were measured at baseline and after at least 3 years of follow-up. Smoking status, alcohol use, and exercise status were recorded. Results No significant differences in age, sex, or lifestyle habits were observed among the PRS groups. The ‘very high risk’ group had significantly higher 3-year follow-up FBG (p=0.001) and baseline/3-year follow-up HbA1c (p=0.025 and 0.001, respectively) levels (Table 1). The ‘very high risk’ group had a 4.5-fold higher risk of developing DM compared to other groups (Table 2A). Smoking was a significant modifier of genetic risk; smokers in the ‘very high-risk’ group had a 25% greater likelihood of developing DM. CDKAL1, HHEX, and TCF7L2 genotype carriers were prevalent in the individuals diagnosed with DM, while HHEX carriers in the ‘high risk’ group showed the greatest susceptibility, especially among current smokers (Table 2B). Conclusion PRS-based genetic testing demonstrated clinical utility in DM risk prediction. Elevated FBG and HbA1c levels in the high PRS group emphasize the importance of early identification. Smoking significantly increases genetic risk, underscoring the need for targeted interventions in genetically susceptible individuals.\",\"PeriodicalId\":10690,\"journal\":{\"name\":\"Clinical chemistry\",\"volume\":\"62 1\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical chemistry\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/clinchem/hvaf086.613\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical chemistry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/clinchem/hvaf086.613","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
B-225 Translating GWAS into Clinical Practice: Real-World Utility of a Polygenic Risk Score for Diabetes Risk Stratification
Background Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder which arises from a complex interplay of genetic, environmental and behavioral factors. We evaluated the clinical utility of polygenic risk score (PRS)-based multigene panel test for predicting diabetes mellitus (DM) in a healthy population. Methods Overall, 302 individuals underwent genetic testing using the HelloGene™ DM panel, which comprises four DM-related SNPs (CDKAL1, HHEX, KCNQ1, TCF7L2). Each genotype was analyzed using a PRS algorithm based on a dataset of 70,000 Koreans, classifying participants into four risk groups (low, moderate, high, and very high). Fasting blood glucose (FBG), glycated hemoglobin (HbA1c), and body mass index were measured at baseline and after at least 3 years of follow-up. Smoking status, alcohol use, and exercise status were recorded. Results No significant differences in age, sex, or lifestyle habits were observed among the PRS groups. The ‘very high risk’ group had significantly higher 3-year follow-up FBG (p=0.001) and baseline/3-year follow-up HbA1c (p=0.025 and 0.001, respectively) levels (Table 1). The ‘very high risk’ group had a 4.5-fold higher risk of developing DM compared to other groups (Table 2A). Smoking was a significant modifier of genetic risk; smokers in the ‘very high-risk’ group had a 25% greater likelihood of developing DM. CDKAL1, HHEX, and TCF7L2 genotype carriers were prevalent in the individuals diagnosed with DM, while HHEX carriers in the ‘high risk’ group showed the greatest susceptibility, especially among current smokers (Table 2B). Conclusion PRS-based genetic testing demonstrated clinical utility in DM risk prediction. Elevated FBG and HbA1c levels in the high PRS group emphasize the importance of early identification. Smoking significantly increases genetic risk, underscoring the need for targeted interventions in genetically susceptible individuals.
期刊介绍:
Clinical Chemistry is a peer-reviewed scientific journal that is the premier publication for the science and practice of clinical laboratory medicine. It was established in 1955 and is associated with the Association for Diagnostics & Laboratory Medicine (ADLM).
The journal focuses on laboratory diagnosis and management of patients, and has expanded to include other clinical laboratory disciplines such as genomics, hematology, microbiology, and toxicology. It also publishes articles relevant to clinical specialties including cardiology, endocrinology, gastroenterology, genetics, immunology, infectious diseases, maternal-fetal medicine, neurology, nutrition, oncology, and pediatrics.
In addition to original research, editorials, and reviews, Clinical Chemistry features recurring sections such as clinical case studies, perspectives, podcasts, and Q&A articles. It has the highest impact factor among journals of clinical chemistry, laboratory medicine, pathology, analytical chemistry, transfusion medicine, and clinical microbiology.
The journal is indexed in databases such as MEDLINE and Web of Science.