Dataset Information

Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.

ABSTRACT:

Background

The Czech governmental study suggests up to a 25% higher prevalence of type 2 diabetes mellitus (T2DM) in the Roma population than within the majority population. It is not known whether and to what extent these differences have a genetic background.

Methods

To analyze whether the frequencies of the alleles/genotypes of the FTO, TCF7L2, CDKN2A/2B, MAEA, TLE4, IGF2BP2, ARAP1, and KCNJ11 genes differ between the two major ethnic groups in the Czech Republic, we examined them in DNA samples from 302 Roma individuals and 298 Czech individuals.

Results

Compared to the majority population, Roma are more likely to carry risk alleles in the FTO (26% vs. 16% GG homozygotes, p < .01), IGF2BP2 (22% vs. 10% TT homozygotes, p < .0001), ARAP1 (98% vs. 95% of A allele carriers, p < .005), and CDKN2A/2B (81% vs. 66% of TT homozygotes, p < .001) genes; however, less frequently they are carriers of the TCF7L2 risk allele (34% vs. 48% of the T allele p < .0005). Finally, we found significant accumulation of T2DM-associated alleles between the Roma population in comparison with the majority population (25.4% vs. 15.2% of the carriers of at least 12 risk alleles; p < .0001).

Conclusion

The increased prevalence of T2DM in the Roma population may have a background in different frequencies of the risk alleles of genes associated with T2DM development.

SUBMITTER: Hubacek JA

PROVIDER: S-EPMC7507457 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Publications

Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.

Hubáček Jaroslav A JA Šedová Lenka L Olišarová Věra V Adámková Věra V Tóthová Valérie V

Molecular genetics & genomic medicine 20200624 9

<h4>Background</h4>The Czech governmental study suggests up to a 25% higher prevalence of type 2 diabetes mellitus (T2DM) in the Roma population than within the majority population. It is not known whether and to what extent these differences have a genetic background.<h4>Methods</h4>To analyze whether the frequencies of the alleles/genotypes of the FTO, TCF7L2, CDKN2A/2B, MAEA, TLE4, IGF2BP2, ARAP1, and KCNJ11 genes differ between the two major ethnic groups in the Czech Republic, we examined t ...[more]

PMID: 32578971

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Project description:BackgroundThe 'Taking the screening tests close to the people' program offers cardiovascular screening to the inhabitants of underprivileged settlements. This study aimed to evaluate the cardiovascular risk factors of underprivileged populations, including individuals who described themselves as belonging to the Roma population.MethodsDuring the program, we collected information about demographic features, lifestyle and current illnesses. A general health assessment (body weight, height, blood pressure and fasting blood glucose) and cardiovascular examination were performed. We analysed data on both Roma and non-Roma groups and used Pearson's chi-squared test and multiple logistic regression models to analyse the factors that contribute to the onset of comorbidities, with a special focus on ethnicity.ResultsData from 6211 participants were processed. Based on self-reports, the non-Roma population consisted of 5352 respondents (1364 men (25.5%) and 3988 women (74.5%)), and the Roma population comprised 859 respondents (200 men (23.3%) and 659 women (76.7%)). A total of 91.2% (4849) of the non-Roma population and 92.5% (788) of the Roma population exercised less than 3 h per week (p < 0.001). Of the non-Roma population, 71.7% (3512) had a body mass index above 25 kg/m2, while the corresponding figure was 72.4% (609) in the Roma population (p = 0.709). The median body mass index was 28.0 (24.6-31.9) in the non-Roma population and 28.8 (24.5-33.0) in the Roma population (p < 0.001). The prevalence of active smokers was 28.7% (1531) in the non-Roma population and 60.3% (516) in the Roma population (p < 0.001). The prevalence of hypertension was 54.9% (2824) in the non-Roma population and 49.8% (412) in the Roma population (p < 0.001). The prevalence of diabetes was 11.5% (95) in the Roma population and 12.2% (619) in the non-Roma population (p < 0.001).ConclusionWe found a high prevalence of overweight and obesity, a lack of physical activity and an remarkably high smoking rate in the studied underprivileged population. Both type 2 diabetes and hypertension were more common among people living in underprivileged settlements than in the general Hungarian population. People living in underprivileged settlements need more attention in primary care.

Project description:BackgroundMetabolic syndrome (MetS) is a public health problem in Europe, affecting all age groups. Several MetS definitions are available. The aim of this study was to compare four different MetS definitions in the Finnish adult population, to assess their agreement and to evaluate the impact of the choice of the definition on the prevalence of MetS.MethodsData from FinHealth 2017, a cross-sectional national population health survey, focusing on adults aged 25 years or older were used in the analysis (n=5687). Measured data on anthropometrics, blood pressure and biomarkers together with questionnaire data were used to classify the participants into the MetS categories according to the four definitions. The definitions chosen for the comparison were those by the World Health Organization (WHO) (1998), National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III) (2004), International Diabetes Federation (IDF) (2005), and Joint Interim Statement (JIS) (2009).ResultsThe four MetS definitions resulted in substantially different MetS prevalence: 17.7% by WHO, 33.3% by NCEP-ATP III, 41.5% by IDF, and 43.0% by JIS. Regardless of the definition used, the prevalence of MetS increased with age. The prevalence of the different components varied between the definitions, depending on the different cut-off points adopted. Out of all participants, only 13.6% were identified to have MetS according to all four definitions. Agreement between participants recognised by different MetS definitions, estimated through kappa coefficients, was almost perfect for IDF vs. JIS (0.97), strong for JIS vs. NCEP-ATP III (0.80), moderate for IDF vs. NCEP-ATP III (0.76) and weak for WHO vs. NCEP-ATP III (0.42), WHO vs. IDF (0.41) and WHO vs. JIS (0.40).ConclusionsDifferences between observed prevalence of MetS in Finnish men and women using different MetS definitions were large. For cross-country comparisons, as well as for trend analyses within a country, it is essential to use the same MetS definition to avoid discrepancies in classification due to differences in used definitions.

Dataset Information

Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.

Background

Methods

Results

Conclusion

Publications

Different prevalence of T2DM risk alleles in Roma population in comparison with the majority Czech population.

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