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

Comparative Study

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

Nardos Abebe Werissa et al. Genes (Basel). 2019.

Abstract

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 (GRSGeneral = 15.38 ± 2.70 vs. GRSRoma = 14.80 ± 2.68, p < 0.001; wGRSGeneral = 1.41 ± 0.32 vs. wGRSRoma = 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: ORethnicity = 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.

Keywords: Roma; genetic risk score; single nucleotide polymorphism; targeted intervention; type 2 diabetes.

PubMed Disclaimer

Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1

Linkage disequilibrium (LD) map of SNPs related to prediabetes/type 2 diabetes mellitus (T2DM) for the Hungarian general (A) and Roma (B) populations. Linkage analysis was performed separately in both populations, and none of the SNPs were found to be in LD. The numbers above the map show the reference SNP (rs) numbers of SNPs. Alternative coefficient of linkage disequilibrium (D′)/logarithm of odds (LOD) color scheme is used to display LD (white D′ < 1 and LOD < 2; and black D′ < 1 and LOD ≥ 2). Numbers in squares are _r_2 values.

Figure 2

Distribution of unweighted genetic risk scores based on 16 SNPs by study population samples.

Figure 3

Distribution curves of weighted genetic risk scores by study population.

Cited by

Low prevalence of spectacle use in the Hungarian Roma population indicates unmet health needs.
Losonczy G, Piko P, Klevering BJ, Kosa Z, Sandor J, Adany R. Losonczy G, et al. Sci Rep. 2022 Mar 9;12(1):3873. doi: 10.1038/s41598-022-07880-3. Sci Rep. 2022. PMID: 35264669 Free PMC article.
Polygenic risk for coronary artery disease in the Scottish and English population.
Yang C, Starnecker F, Pang S, Chen Z, Güldener U, Li L, Heinig M, Schunkert H. Yang C, et al. BMC Cardiovasc Disord. 2021 Dec 7;21(1):586. doi: 10.1186/s12872-021-02398-4. BMC Cardiovasc Disord. 2021. PMID: 34876023 Free PMC article.
Comparative risk assessment for the development of cardiovascular diseases in the Hungarian general and Roma population.
Piko P, Kosa Z, Sandor J, Adany R. Piko P, et al. Sci Rep. 2021 Feb 4;11(1):3085. doi: 10.1038/s41598-021-82689-0. Sci Rep. 2021. PMID: 33542357 Free PMC article.
Genetics of Cardiovascular Disease: How Far Are We from Personalized CVD Risk Prediction and Management?
Vrablik M, Dlouha D, Todorovova V, Stefler D, Hubacek JA. Vrablik M, et al. Int J Mol Sci. 2021 Apr 17;22(8):4182. doi: 10.3390/ijms22084182. Int J Mol Sci. 2021. PMID: 33920733 Free PMC article. Review.
Genetic Background of Metabolically Healthy and Unhealthy Obesity Phenotypes in Hungarian Adult Sample Population.
Piko P, Llanaj E, Nagy K, Adany R. Piko P, et al. Int J Mol Sci. 2023 Mar 8;24(6):5209. doi: 10.3390/ijms24065209. Int J Mol Sci. 2023. PMID: 36982283 Free PMC article.

References

1. European Union . European Union Agency for Fundamental Rights (FRA) EU; Brussel, Belgium: 2019. European Union Agency for Fundamental Rights on Roma.
1. An EU Framework for National Roma Integration Strategies up to 2020. European Commission; Brussel, Belgium: 2011. Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Commttee of the Regions.
1. Ádány R. Roma Health is Global Ill Health. Oxford University Press; Oxford, UK: 2014. - PubMed
1. Kósa K., Daragó L., Ádány R. Environmental survey of segregated habitats of Roma in Hungary: A way to be empowering and reliable in minority research. Eur. J. Public Health. 2009;21:463–468. doi: 10.1093/eurpub/ckp097. - DOI - PubMed
1. Sepkowitz K.A. Health of the world’s Roma population. Lancet. 2006;367:1707–1708. doi: 10.1016/S0140-6736(06)68746-1. - DOI - PubMed

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