12505 Prevalence Of Mody Diabetes Polymorphism Of Thai Urban Families By Targeted Next Generation Sequencing Of Diabetes Polymorphism

Abstract Disclosure: S. Niramitmahapanya: None. Prevalence of MODY diabetes polymorphism of Thai Urban families by targeted next-generation sequencing in diabetes polymorphismObjective: To study the prevalence between single nucleotide polymorphism of urban diabetes (UD) and non-diabetes (noD) in Thai population. Method: Cross-sectional study was collected 240 participant samples; 60 from UD, 60 from RnoD, 60 from non-relative, non-diabetes (noRnoD) and 60 diabetes, non-relatives (noRD). And generated diabetes variant frequency in Thai population by targeted next-generation sequencing. Result; Among group of UD and RnoD found that age, fasting blood glucose (FBG), HbA1c and LDL level were statistic significant all parameter by p<0.001. Age in UD was 64.15±10.74 vs. 43.43±12.46 in RnoD, FBs in UD was 129.39±44.91 vs. 99.74±39.75 in RnoD, A1c in UD was 8.26±4.76 vs. 6.17±1.35 in RnoD and LDL level in UD was 98.28±38.52 vs. 129.35±39.75 in RnoD.In subgroup analysis of diabetes variant, we designed Ion AmpliSeq On-Demand Panels (25 genes related diabetes) for targeted sequencing. We didn’t found statistic significant between UD and RnoD group by p-value =0.998 (23 genes; ABCC8, FGA, SELE, PAX4, HNF1A, BLK, LOC10028732, NEUROD1, KCNJ11, MMP2, APPL1, LPL, CAT, CEL, HNF1A, HNF1B, ICAM1, INSR, SOD, GCK, INS and UCP3). We identified 12 mutations of MODY in UD, the most polymorphism was HNF1a and ABCC8 that found 16.4%, PAX4 found 13.1%, APPL1 found 11.5%, KCNJ11 and NEUROD1 found 8.2%, BLK 6.6% and other less polymorphism that found <5% (HNF1B, HNF4a, CEL, GCK, INS). Conclusion; From the study, we analyzed genetic data from 12 genes that involved pathogenesis for diabetes polymorphism between UD and noD groups. We focus on diabetes variant frequency. We found that 5 pathogenic polymorphism such as HNF1a, GCK, CEL, INS and APPL1. Further study needs to evaluate correlation diabetes polymorphism and their treatment protocols. Keywords; Thai urban diabetes, first degree relatives and MODY diabetes polymorphism Presentation: 6/1/2024

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Journal
Journal of the Endocrine Society
Published
2024-10-01
DOI
https://doi.org/10.1210/jendso/bvae163.896
Primary Topic
Global Public Health Policies and Epidemiology
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article
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article

12505 Prevalence Of Mody Diabetes Polymorphism Of Thai Urban Families By Targeted Next Generation Sequencing Of Diabetes Polymorphism

Sathit Niramitmahapanya
Journal of the Endocrine Society
Global Public Health Policies and Epidemiology
article

12505 Prevalence Of Mody Diabetes Polymorphism Of Thai Urban Families By Targeted Next Generation Sequencing Of Diabetes Polymorphism

Sathit Niramitmahapanya
article en

Abstract

Abstract Disclosure: S. Niramitmahapanya: None. Prevalence of MODY diabetes polymorphism of Thai Urban families by targeted next-generation sequencing in diabetes polymorphismObjective: To study the prevalence between single nucleotide polymorphism of urban diabetes (UD) and non-diabetes (noD) in Thai population. Method: Cross-sectional study was collected 240 participant samples; 60 from UD, 60 from RnoD, 60 from non-relative, non-diabetes (noRnoD) and 60 diabetes, non-relatives (noRD). And generated diabetes variant frequency in Thai population by targeted next-generation sequencing. Result; Among group of UD and RnoD found that age, fasting blood glucose (FBG), HbA1c and LDL level were statistic significant all parameter by p<0.001. Age in UD was 64.15±10.74 vs. 43.43±12.46 in RnoD, FBs in UD was 129.39±44.91 vs. 99.74±39.75 in RnoD, A1c in UD was 8.26±4.76 vs. 6.17±1.35 in RnoD and LDL level in UD was 98.28±38.52 vs. 129.35±39.75 in RnoD.In subgroup analysis of diabetes variant, we designed Ion AmpliSeq On-Demand Panels (25 genes related diabetes) for targeted sequencing. We didn’t found statistic significant between UD and RnoD group by p-value =0.998 (23 genes; ABCC8, FGA, SELE, PAX4, HNF1A, BLK, LOC10028732, NEUROD1, KCNJ11, MMP2, APPL1, LPL, CAT, CEL, HNF1A, HNF1B, ICAM1, INSR, SOD, GCK, INS and UCP3). We identified 12 mutations of MODY in UD, the most polymorphism was HNF1a and ABCC8 that found 16.4%, PAX4 found 13.1%, APPL1 found 11.5%, KCNJ11 and NEUROD1 found 8.2%, BLK 6.6% and other less polymorphism that found <5% (HNF1B, HNF4a, CEL, GCK, INS). Conclusion; From the study, we analyzed genetic data from 12 genes that involved pathogenesis for diabetes polymorphism between UD and noD groups. We focus on diabetes variant frequency. We found that 5 pathogenic polymorphism such as HNF1a, GCK, CEL, INS and APPL1. Further study needs to evaluate correlation diabetes polymorphism and their treatment protocols. Keywords; Thai urban diabetes, first degree relatives and MODY diabetes polymorphism Presentation: 6/1/2024

Journal of the Endocrine SocietyVol. 8(Supplement_1)
Health Intervention and Technology Assessment Program (TH)
Sustainable cities and communities
Openalex Percentile: Top 76%
Global Public Health Policies and Epidemiology
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