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SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus

Background: In a previous survey, an elevated fasting glucose level (FG) and/or known type 2 diabetes mellitus (T2DM) were significantly more frequent in the Roma population than in the Hungarian general population. We assessed whether the distribution of 16 single nucleotide polymorphisms (SNPs) wi...

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Autores principales: Werissa, Nardos Abebe, Piko, Peter, Fiatal, Szilvia, Kosa, Zsigmond, Sandor, Janos, Adany, Roza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896051/
https://www.ncbi.nlm.nih.gov/pubmed/31752367
http://dx.doi.org/10.3390/genes10110942
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author Werissa, Nardos Abebe
Piko, Peter
Fiatal, Szilvia
Kosa, Zsigmond
Sandor, Janos
Adany, Roza
author_facet Werissa, Nardos Abebe
Piko, Peter
Fiatal, Szilvia
Kosa, Zsigmond
Sandor, Janos
Adany, Roza
author_sort Werissa, Nardos Abebe
collection PubMed
description Background: In a previous survey, an elevated fasting glucose level (FG) and/or known type 2 diabetes mellitus (T2DM) were significantly more frequent in the Roma population than in the Hungarian general population. We assessed whether the distribution of 16 single nucleotide polymorphisms (SNPs) with unequivocal effects on the development of T2DM contributes to this higher prevalence. Methods: Genetic risk scores, unweighted (GRS) and weighted (wGRS), were computed and compared between the study populations. Associations between GRSs and FG levels and T2DM status were investigated in separate and combined study populations. Results: The Hungarian general population carried a greater genetic risk for the development of T2DM (GRS(General) = 15.38 ± 2.70 vs. GRS(Roma) = 14.80 ± 2.68, p < 0.001; wGRS(General) = 1.41 ± 0.32 vs. wGRS(Roma) = 1.36 ± 0.31, p < 0.001). In the combined population models, GRSs and wGRSs showed significant associations with elevated FG (p < 0.001) and T2DM (p < 0.001) after adjusting for ethnicity, age, sex, body mass index (BMI), high-density Lipoprotein Cholesterol (HDL-C), and triglyceride (TG). In these models, the effect of ethnicity was relatively strong on both outcomes (FG levels: βethnicity = 0.918, p < 0.001; T2DM status: OR(ethnicity) = 2.484, p < 0.001). Conclusions: The higher prevalence of elevated FG and/or T2DM among Roma does not seem to be directly linked to their increased genetic load but rather to their environmental/cultural attributes. Interventions targeting T2DM prevention among Roma should focus on harmful environmental exposures related to their unhealthy lifestyle.
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spelling pubmed-68960512019-12-23 SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus Werissa, Nardos Abebe Piko, Peter Fiatal, Szilvia Kosa, Zsigmond Sandor, Janos Adany, Roza Genes (Basel) Article Background: In a previous survey, an elevated fasting glucose level (FG) and/or known type 2 diabetes mellitus (T2DM) were significantly more frequent in the Roma population than in the Hungarian general population. We assessed whether the distribution of 16 single nucleotide polymorphisms (SNPs) with unequivocal effects on the development of T2DM contributes to this higher prevalence. Methods: Genetic risk scores, unweighted (GRS) and weighted (wGRS), were computed and compared between the study populations. Associations between GRSs and FG levels and T2DM status were investigated in separate and combined study populations. Results: The Hungarian general population carried a greater genetic risk for the development of T2DM (GRS(General) = 15.38 ± 2.70 vs. GRS(Roma) = 14.80 ± 2.68, p < 0.001; wGRS(General) = 1.41 ± 0.32 vs. wGRS(Roma) = 1.36 ± 0.31, p < 0.001). In the combined population models, GRSs and wGRSs showed significant associations with elevated FG (p < 0.001) and T2DM (p < 0.001) after adjusting for ethnicity, age, sex, body mass index (BMI), high-density Lipoprotein Cholesterol (HDL-C), and triglyceride (TG). In these models, the effect of ethnicity was relatively strong on both outcomes (FG levels: βethnicity = 0.918, p < 0.001; T2DM status: OR(ethnicity) = 2.484, p < 0.001). Conclusions: The higher prevalence of elevated FG and/or T2DM among Roma does not seem to be directly linked to their increased genetic load but rather to their environmental/cultural attributes. Interventions targeting T2DM prevention among Roma should focus on harmful environmental exposures related to their unhealthy lifestyle. MDPI 2019-11-19 /pmc/articles/PMC6896051/ /pubmed/31752367 http://dx.doi.org/10.3390/genes10110942 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Werissa, Nardos Abebe
Piko, Peter
Fiatal, Szilvia
Kosa, Zsigmond
Sandor, Janos
Adany, Roza
SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title_full SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title_fullStr SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title_full_unstemmed SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title_short SNP-Based Genetic Risk Score Modeling Suggests No Increased Genetic Susceptibility of the Roma Population to Type 2 Diabetes Mellitus
title_sort snp-based genetic risk score modeling suggests no increased genetic susceptibility of the roma population to type 2 diabetes mellitus
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6896051/
https://www.ncbi.nlm.nih.gov/pubmed/31752367
http://dx.doi.org/10.3390/genes10110942
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