Distinct Penetrance of Obesity-Associated Susceptibility Alleles in the Hungarian General and Roma Populations

Nagy, Károly; Fiatal, Szilvia; Sándor, J; Ádány, Róza

doi:10.1159/000478094

Cited by 20 publications

(21 citation statements)

References 40 publications

(32 reference statements)

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“…Our previous studies confirmed that in the case of obesity [39,41] and T2DM [40], in addition to environmental and lifestyle factors, genetic susceptibility is also very significant in the Hungarian general population. T2DM is developing earlier for individuals with a higher genetic risk, in comparison with people with the same lifestyle and environmental characteristics but with a lower genetic risk [42].…”

Section: Introductionsupporting

confidence: 83%

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors

Pikó

Werissa

Fiatal

et al. 2020

JPM

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It is generally accepted that the early detection of type 2 diabetes mellitus (T2DM) is important to prevent the development of complications and comorbidities, as well as premature death. The onset of type 2 diabetes mellitus results from a complex interplay between genetic, environmental, and lifestyle risk factors. Our study aims to evaluate the joint effect of T2DM associated single nucleotide polymorphisms (SNPs) on the age of onset for T2DM in combination with conventional risk factors (such as sex, body mass index (BMI), and TG/HDL-C ratio) in the Hungarian population. This study includes 881 T2DM patients (Case population) and 1415 samples from the Hungarian general population (HG). Twenty-three SNPs were tested on how they are associated with the age of onset for T2DM in the Case population and 12 of them with a certified effect on the age of T2DM onset were chosen for an optimized genetic risk score (GRS) analysis. Testing the validity of the GRS model developed was carried out on the HG population. The GRS showed a significant association with the age of onset for T2DM (β = −0.454, p = 0.001) in the Case population, as well as among T2DM patients in the HG one (β = −0.999, p = 0.003) in the replication study. The higher the GRS, the earlier was the T2DM onset. Individuals with more than eight risk alleles will presumably be diabetic six and a half years earlier than those with less than four risk alleles. Our results suggest that there is a considerable genetic predisposition for the early onset of T2DM; therefore, in addition to conventional risk factors, GRS can be used as a tool for estimating the risk of the earlier onset of T2DM and stratifying populations at risk in order to define preventive interventions.

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Section: Introductionsupporting

confidence: 83%

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors

Pikó

Werissa

Fiatal

et al. 2020

JPM

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“…In addition, the access of Roma people to health care is also impaired, resulting in a broad spectrum of unmet health needs [ 68 , 69 , 70 , 71 ]. Although our previous studies strongly suggest increased genetic susceptibility to certain cardiometabolic diseases through leading to high prevalence of decreased HDL-C level and increased risk of thrombosis among Roma [ 19 , 20 ], we have found no difference between the Hungarian general and Roma populations in genetic risk for diabetes and obesity [ 72 , 73 ]. The admixture of Roma with West Eurasians before their exodus and during their migration period besides their admixture with Europeans is a well-known fact, but using identity-by-descent segment (IDS) analysis Melegh et al [ 74 ] demonstrated that Roma are closer related to European populations.…”

Section: Discussioncontrasting

confidence: 59%

Prevalence of Insulin Resistance in the Hungarian General and Roma Populations as Defined by Using Data Generated in a Complex Health (Interview and Examination) Survey

Ádány

Pikó

Fiatal

et al. 2020

IJERPH

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Data mainly from one-off surveys clearly show that the health of Roma, the largest ethnic minority of Europe, is much worse than that of the general population. However, results from comprehensive exploratory studies are missing. The aim of our study was to create a complex database for comparative and association studies to better understand the background of the very unfavourable health of Roma, especially the high burden of cardiometabolic diseases. A three-pillar (questionnaire-based, physical and laboratory examinations) health survey was carried out on randomly selected samples of the Hungarian general (HG, n = 417) and Roma (HR, n = 415) populations, and a database consisting of more than half a million datapoints was created. Using selected data, the prevalence rates of metabolic syndrome (MetS) and of its components were determined, and to estimate the risk of insulin resistance (IR), surrogate measures (the homeostasis model assessment of insulin resistance index, quantitative insulin sensitivity check index, McAuley and TyG indices and the TG/HDL-C ratio) were calculated. Receiver operating characteristic curve analysis and Youden’s method were used to define the optimal cut-off values of each IR index. The prevalence of MetS was very high in both study populations (HG: 39.8%, HR: 44.0%) with no statistically significant difference between the two groups in females or males. The prevalence of MetS showed a very marked increase in the HR 35–49 years age group. Among surrogate measures, the TyG index showed the greatest power for predicting IR/MetS at a cut-off value of 4.69 (77% sensitivity, 84% specificity) and indicated a 42.3% (HG) and 40.5% (HR) prevalence of IR. The prevalence of MetS and IR is almost equally very unfavourable in both groups; thus, the factors underlying the high premature mortality burden of Roma should be further clarified by investigating the full spectrum of risk factors available in the database, with a special focus on the access of Roma people to preventive and curative health services.

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“…Therefore, a major challenge for health care professionals facing an epidemic of people who are overweight and have a sedentary lifestyle, should be the early identification, treatment, and prevention of metabolic syndrome [ 16 ]. Ethnic minorities are known to have more increased medical risks than the majority populations [ 1 , 17 , 18 ]. In the Slovak Republic, the Roma are the second-largest minority group [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Serum Uric Acid in Roma and Non-Roma—Its Correlation with Metabolic Syndrome and Other Variables

Petríková

Janíčko

Fedačko

et al. 2018

IJERPH

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Background: The Roma population is one of the major marginalized groups in Europe, having higher incidence of all spectrums of disease and a shorter life expectancy. Yet, the reasons for higher morbidity and its exact prevalence were not properly studied. Objectives: The objective of our study was to compare the frequency of metabolic syndrome (MetS) in Roma people to the non-Roma population in Slovakia, and to compare levels of uric acid and its correlation with components of metabolic syndrome. Methods: A group of 452 Roma people aged 18–55 years, was compared to a control group of 403 non-Roma people. The data were obtained by questionnaire, anthropometric measures, and analyzed blood and urine samples Results: The prevalence of MetS was significantly higher among Roma participants (131; 29.6%) compared with non-Roma participants (80; 20.1%), p = 0.001. Roma people significantly more often fulfilled obesity and low high-density lipoprotein (HDL) criteria of MetS (257, 58.9% vs. 180, 45.8%, p < 0.0001, and 312, 70.0% vs. 140, 34.9%, p < 0.0001). There was no difference in the triacylglycerols (TG), glycemia or blood pressure (BP) criteria of MetS. The Roma also presented with greater levels of high sensitivity C-reactive protein (hs-CRP). Baseline levels of uric acid (UA) among the Roma population were significantly lower compared with the majority population (226.54 ± 79.8 vs. 259.11 ± 84.53) (p < 0.001). The levels of UA significantly correlated with fulfilled criteria of MetS. Univariate regression showed that UA is a significant predictor of MetS in the whole cohort (unadjusted odds ratio (OR) 1.005; 95% CI 1.004–1.007; p < 0.0001) also after the adjustment for age, sex, and ethnicity (adjusted OR 1.008; 95% CI 1.005–1.010; p < 0.0001). Conclusions: We were able to show that prevalence of MetS among the Roma is higher than in the majority population. Moreover, the uric acid levels are significantly lower in the Roma group as well as when it comes to a cohort with MetS. Levels of UA, besides others, depend on ethnicity, age, and sex.

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Distinct Penetrance of Obesity-Associated Susceptibility Alleles in the Hungarian General and Roma Populations

Cited by 20 publications

References 40 publications

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors

Impact of Genetic Factors on the Age of Onset for Type 2 Diabetes Mellitus in Addition to the Conventional Risk Factors

Prevalence of Insulin Resistance in the Hungarian General and Roma Populations as Defined by Using Data Generated in a Complex Health (Interview and Examination) Survey

Serum Uric Acid in Roma and Non-Roma—Its Correlation with Metabolic Syndrome and Other Variables

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