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

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          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.

          Abstract

          The frequency of most T2DM‐associated genotypes differed significantly between the Czech majority population and Roma. Roma subjects have in mean increased numbers of risky alleles. Likely, genes are in background of the increased T2DM incidence in this ethnic group.

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          Most cited references35

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          Sixty-Five Common Genetic Variants and Prediction of Type 2 Diabetes

          We developed a 65 type 2 diabetes (T2D) variant–weighted gene score to examine the impact on T2D risk assessment in a U.K.-based consortium of prospective studies, with subjects initially free from T2D (N = 13,294; 37.3% women; mean age 58.5 [38–99] years). We compared the performance of the gene score with the phenotypically derived Framingham Offspring Study T2D risk model and then the two in combination. Over the median 10 years of follow-up, 804 participants developed T2D. The odds ratio for T2D (top vs. bottom quintiles of gene score) was 2.70 (95% CI 2.12–3.43). With a 10% false-positive rate, the genetic score alone detected 19.9% incident cases, the Framingham risk model 30.7%, and together 37.3%. The respective area under the receiver operator characteristic curves were 0.60 (95% CI 0.58–0.62), 0.75 (95% CI 0.73 to 0.77), and 0.76 (95% CI 0.75 to 0.78). The combined risk score net reclassification improvement (NRI) was 8.1% (5.0 to 11.2; P = 3.31 × 10−7). While BMI stratification into tertiles influenced the NRI (BMI ≤24.5 kg/m2, 27.6% [95% CI 17.7–37.5], P = 4.82 × 10−8; 24.5–27.5 kg/m2, 11.6% [95% CI 5.8–17.4], P = 9.88 × 10−5; >27.5 kg/m2, 2.6% [95% CI −1.4 to 6.6], P = 0.20), age categories did not. The addition of the gene score to a phenotypic risk model leads to a potentially clinically important improvement in discrimination of incident T2D.
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            Post Genome-Wide Association Studies of Novel Genes Associated with Type 2 Diabetes Show Gene-Gene Interaction and High Predictive Value

            Background Recently, several Genome Wide Association (GWA) studies in populations of European descent have identified and validated novel single nucleotide polymorphisms (SNPs), highly associated with type 2 diabetes (T2D). Our aims were to validate these markers in other European and non-European populations, then to assess their combined effect in a large French study comparing T2D and normal glucose tolerant (NGT) individuals. Methodology/Principal Findings In the same French population analyzed in our previous GWA study (3,295 T2D and 3,595 NGT), strong associations with T2D were found for CDKAL1 (ORrs7756992 = 1.30[1.19–1.42], P = 2.3×10−9), CDKN2A/2B (ORrs10811661 = 0.74[0.66–0.82], P = 3.5×10−8) and more modestly for IGFBP2 (ORrs1470579 = 1.17[1.07–1.27], P = 0.0003) SNPs. These results were replicated in both Israeli Ashkenazi (577 T2D and 552 NGT) and Austrian (504 T2D and 753 NGT) populations (except for CDKAL1) but not in the Moroccan population (521 T2D and 423 NGT). In the overall group of French subjects (4,232 T2D and 4,595 NGT), IGFBP2 and CXCR4 synergistically interacted with (LOC38776, SLC30A8, HHEX) and (NGN3, CDKN2A/2B), respectively, encoding for proteins presumably regulating pancreatic endocrine cell development and function. The T2D risk increased strongly when risk alleles, including the previously discovered T2D-associated TCF7L2 rs7903146 SNP, were combined (8.68-fold for the 14% of French individuals carrying 18 to 30 risk alleles with an allelic OR of 1.24). With an area under the ROC curve of 0.86, only 15 novel loci were necessary to discriminate French individuals susceptible to develop T2D. Conclusions/Significance In addition to TCF7L2, SLC30A8 and HHEX, initially identified by the French GWA scan, CDKAL1, IGFBP2 and CDKN2A/2B strongly associate with T2D in French individuals, and mostly in populations of Central European descent but not in Moroccan subjects. Genes expressed in the pancreas interact together and their combined effect dramatically increases the risk for T2D, opening avenues for the development of genetic prediction tests.
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              Prevalence of Type 2 Diabetes in the States of The Co-Operation Council for the Arab States of the Gulf: A Systematic Review

              Aims The recent and ongoing worldwide expansion in prevalence of Type 2 Diabetes (T2DM) is a considerable risk to individuals, health systems and economies. The increase in prevalence has been particularly marked in the states of the Co-operation Council for the Arab States of the Gulf (GCC), and these trends are set to continue. We aimed to systematically review the current prevalence of T2DM within these states, and also within particular sub-populations. Methods We identified 27 published studies for review. Studies were identified by systematic database searches. Medline and Embase were searched using terms such as diabetes mellitus, non-insulin-dependent, hyperglycemia, prevalence, epidemiology and Gulf States. Our search also included scanning reference lists, contacting experts and hand-searching key journals. Studies were judged against pre-determined inclusion and exclusion criteria, and where suitable for inclusion, data extraction and quality assessment was achieved using a specifically-designed tool. All studies where prevalence of diabetes was investigated were eligible for inclusion. The inclusion criteria required that the study population be of a GCC country, but otherwise all ages, sexes and ethnicities were included, resident and migrant populations, urban and rural, of all socioeconomic and educational backgrounds. No limitations on publication type, publication status, study design or language of publication were imposed. However, we did not include secondary reports of data, such as review articles without novel data synthesis. Conclusions The prevalence ofT2DM is an increasing problem for all GCC states. They may therefore benefit to a relatively high degree from co-ordinated implementation of broadly consistent management strategies. Further study of prevalence in children and in national versus expatriate populations would also be useful.
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                Author and article information

                Contributors
                jahb@ikem.cz
                Journal
                Mol Genet Genomic Med
                Mol Genet Genomic Med
                10.1002/(ISSN)2324-9269
                MGG3
                Molecular Genetics & Genomic Medicine
                John Wiley and Sons Inc. (Hoboken )
                2324-9269
                24 June 2020
                September 2020
                : 8
                : 9 ( doiID: 10.1002/mgg3.v8.9 )
                : e1361
                Affiliations
                [ 1 ] Centre for Experimental Medicine Institute for Clinical and Experimental Medicine Prague Czech Republic
                [ 2 ] Faculty of Health and Social Sciences University of South Bohemia České Budějovice Czech Republic
                [ 3 ] Department of Preventive Cardiology Institute for Clinical and Experimental Medicine Prague Czech Republic
                Author notes
                [*] [* ] Correspondence

                Jaroslav A. Hubacek, IKEM‐DEM‐LMG, Videnska 1958/9, 140 21 Prague 4, Czech Republic.

                Email: jahb@ 123456ikem.cz

                Author information
                https://orcid.org/0000-0001-6537-1353
                https://orcid.org/0000-0001-6295-457X
                https://orcid.org/0000-0001-8409-585X
                https://orcid.org/0000-0001-8679-3184
                https://orcid.org/0000-0002-7119-8419
                Article
                MGG31361
                10.1002/mgg3.1361
                7507457
                32578971
                01eaf096-432f-4447-9ef8-cb2804378733
                © 2020 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 26 March 2020
                : 11 May 2020
                : 19 May 2020
                Page count
                Figures: 1, Tables: 4, Pages: 9, Words: 15582
                Funding
                Funded by: Ministry of Health of the Czech Republic , open-funder-registry 10.13039/501100003243;
                Award ID: NV18‐01‐00046
                Funded by: Ministry of Education, Youth and Sports , open-funder-registry 10.13039/501100001823;
                Award ID: LD14114
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                September 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.1 mode:remove_FC converted:22.09.2020

                czech population,gene score,polymorphism,roma population,t2dm

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