{"title":"在巴西南部人群中识别遗传易感的1型糖尿病个体:遗传风险评分的构建","authors":"Felipe Mateus Pellenz, Mayara Souza de Oliveira, Guilherme Coutinho Kullmann Duarte, Natália Emerim Lemos, Cristine Dieter, Luís Henrique Canani, Taís Silveira Assmann, Daisy Crispim","doi":"10.1590/1678-4685-GMB-2023-0308","DOIUrl":null,"url":null,"abstract":"<p><p>Single nucleotide polymorphisms (SNPs) in the HLA DR/DQ region have the greatest impact on susceptibility to type 1 diabetes mellitus (T1DM). Non-HLA SNPs interact with the HLA, influencing the risk for T1DM. The aim of this study was to develop a genetic risk score (GRS) based on HLA DR/DQ and non-HLA SNPs to discriminate patients with T1DM. The sample comprised 466 patients with T1DM and 469 controls. The rs689/INS, rs2476601/PTPN22, rs231775/CTLA-4, rs2304256/TYK2, rs2292239/ERBB3, and HLA DR/DQ SNPs were genotyped using real-time PCR. The unweighted GRS (uGRS) was calculated by summing the risk alleles of each SNP and the weighted GRS (wGRS) by multiplying the risk alleles by their odds ratios. The uGRS was higher in T1DM patients than in non-diabetic controls (0.34 ± 0.14 vs. 0.26 ± 0.13, P <0.0001), being positively correlated with HbA1c levels (P <0.0001). wGRSs exhibited higher AUCs than uGRSs. The wGRS containing only HLA DR/DQ SNPs showed an AUC of 0.75 (95% CI 0.72 - 0.78). The wGRS containing both HLA DR/DQ and non-HLA SNPs, adjusted for race, demonstrated the best discriminative power [AUC 0.91 (95% CI 0.89 - 0.93)]. The race adjusted-wGRS, including all SNPs, seems to be a useful genetic tool for assessing individual's predisposition to T1DM.</p>","PeriodicalId":12557,"journal":{"name":"Genetics and Molecular Biology","volume":"48 2","pages":"e20230308"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999062/pdf/","citationCount":"0","resultStr":"{\"title\":\"Identifying genetically predisposed type 1 diabetes mellitus individuals in a Southern Brazilian population: The construction of a genetic risk score.\",\"authors\":\"Felipe Mateus Pellenz, Mayara Souza de Oliveira, Guilherme Coutinho Kullmann Duarte, Natália Emerim Lemos, Cristine Dieter, Luís Henrique Canani, Taís Silveira Assmann, Daisy Crispim\",\"doi\":\"10.1590/1678-4685-GMB-2023-0308\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Single nucleotide polymorphisms (SNPs) in the HLA DR/DQ region have the greatest impact on susceptibility to type 1 diabetes mellitus (T1DM). Non-HLA SNPs interact with the HLA, influencing the risk for T1DM. The aim of this study was to develop a genetic risk score (GRS) based on HLA DR/DQ and non-HLA SNPs to discriminate patients with T1DM. The sample comprised 466 patients with T1DM and 469 controls. The rs689/INS, rs2476601/PTPN22, rs231775/CTLA-4, rs2304256/TYK2, rs2292239/ERBB3, and HLA DR/DQ SNPs were genotyped using real-time PCR. The unweighted GRS (uGRS) was calculated by summing the risk alleles of each SNP and the weighted GRS (wGRS) by multiplying the risk alleles by their odds ratios. The uGRS was higher in T1DM patients than in non-diabetic controls (0.34 ± 0.14 vs. 0.26 ± 0.13, P <0.0001), being positively correlated with HbA1c levels (P <0.0001). wGRSs exhibited higher AUCs than uGRSs. The wGRS containing only HLA DR/DQ SNPs showed an AUC of 0.75 (95% CI 0.72 - 0.78). The wGRS containing both HLA DR/DQ and non-HLA SNPs, adjusted for race, demonstrated the best discriminative power [AUC 0.91 (95% CI 0.89 - 0.93)]. The race adjusted-wGRS, including all SNPs, seems to be a useful genetic tool for assessing individual's predisposition to T1DM.</p>\",\"PeriodicalId\":12557,\"journal\":{\"name\":\"Genetics and Molecular Biology\",\"volume\":\"48 2\",\"pages\":\"e20230308\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11999062/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Genetics and Molecular Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1590/1678-4685-GMB-2023-0308\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genetics and Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1590/1678-4685-GMB-2023-0308","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Identifying genetically predisposed type 1 diabetes mellitus individuals in a Southern Brazilian population: The construction of a genetic risk score.
Single nucleotide polymorphisms (SNPs) in the HLA DR/DQ region have the greatest impact on susceptibility to type 1 diabetes mellitus (T1DM). Non-HLA SNPs interact with the HLA, influencing the risk for T1DM. The aim of this study was to develop a genetic risk score (GRS) based on HLA DR/DQ and non-HLA SNPs to discriminate patients with T1DM. The sample comprised 466 patients with T1DM and 469 controls. The rs689/INS, rs2476601/PTPN22, rs231775/CTLA-4, rs2304256/TYK2, rs2292239/ERBB3, and HLA DR/DQ SNPs were genotyped using real-time PCR. The unweighted GRS (uGRS) was calculated by summing the risk alleles of each SNP and the weighted GRS (wGRS) by multiplying the risk alleles by their odds ratios. The uGRS was higher in T1DM patients than in non-diabetic controls (0.34 ± 0.14 vs. 0.26 ± 0.13, P <0.0001), being positively correlated with HbA1c levels (P <0.0001). wGRSs exhibited higher AUCs than uGRSs. The wGRS containing only HLA DR/DQ SNPs showed an AUC of 0.75 (95% CI 0.72 - 0.78). The wGRS containing both HLA DR/DQ and non-HLA SNPs, adjusted for race, demonstrated the best discriminative power [AUC 0.91 (95% CI 0.89 - 0.93)]. The race adjusted-wGRS, including all SNPs, seems to be a useful genetic tool for assessing individual's predisposition to T1DM.
期刊介绍:
Genetics and Molecular Biology (formerly named Revista Brasileira de Genética/Brazilian Journal of Genetics - ISSN 0100-8455) is published by the Sociedade Brasileira de Genética (Brazilian Society of Genetics).
The Journal considers contributions that present the results of original research in genetics, evolution and related scientific disciplines. Manuscripts presenting methods and applications only, without an analysis of genetic data, will not be considered.