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Data to genetic risk assessment on high-density cholesterol level associated polymorphisms in Hungarian general and Roma populations.

ABSTRACT: Data obtained by genotyping single nucleotide polymorphisms (SNPs) related to high-density lipoprotein cholesterol (HDL-C) levels were utilized in Genetic Risk Score [unweighted (GRS) and weighted (wGRS)] computation on Hungarian general and Roma populations. The selection process of the SNPs as well as the results obtained are published in our research article (Piko et al., 2017) [1]. Linkage analyses were performed by study groups. Study populations were stratified by quintiles of weighted Genetic Risk Score. Multivariate linear regression analyses were performed using Genetic Risk Scores and HDL-C levels as dependent variables; and ethnicity, sex and age as independent variables. The study subjects were categorized into quintiles according their wGRS values. Associations of Genetic Risk Scores with plasma HDL-C levels (as a continuous variable) were observed in both populations. Finally, the two populations were merged and analyzed together by multivariate logistic regression where reduced plasma HDL-C level was the dependent variable; while ethnicity, age and sex were the independent ones.

SUBMITTER: Piko P

PROVIDER: S-EPMC5545818 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Data to genetic risk assessment on high-density cholesterol level associated polymorphisms in Hungarian general and Roma populations.

Pikó Péter P Fiatal Szilvia S Kósa Zsigmond Z Sándor János J Ádány Róza R

Data in brief 20170726

Data obtained by genotyping single nucleotide polymorphisms (SNPs) related to high-density lipoprotein cholesterol (HDL-C) levels were utilized in Genetic Risk Score [unweighted (GRS) and weighted (wGRS)] computation on Hungarian general and Roma populations. The selection process of the SNPs as well as the results obtained are published in our research article (Piko et al., 2017) [1]. Linkage analyses were performed by study groups. Study populations were stratified by quintiles of weighted Gen ...[more]

PMID: 28795114

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Project description:Diabetes mellitus is a major public health problem with a wide range of prevalence among different ethnic groups. Early recognition of pre-diabetes is important to prevent the development of the disease, its complications, co-morbidities, and consequently early death. Insulin resistance (IR) is considered a condition that precedes type 2 diabetes; thus, understanding its underlying causes (genetic and non-genetic factors) will bring us closer to preventing it. The present study aimed to investigate the genetic susceptibility to IR and its impact on estimated longevity in populations with different ethnic origins using randomly selected samples of 372 Hungarian general (HG, as a reference with Caucasian origin) and 334 Roma participants (largest ethnic minority in Europe, with a northern India origin). In the present study, we used the Homeostasis Model Assessment—Insulin Resistance (HOMA—IR) to identify people with IR (>3.63) at the population level. To investigate the genetic predisposition to IR, 29 single nucleotide polymorphisms (SNPs) identified in a systematic literature search were selected and genotyped in sample populations. In the analyses, the adjusted p < 0.0033 was considered significant. Of these 29 SNPs, the commutative effects of 15 SNPs showing the strongest association with HOMA—IR were used to calculate an optimized genetic risk score (oGRS). The oGRS was found nominally significantly (p = 0.019) higher in the Roma population compared to HG one, and it was more strongly correlated with HOMA—IR. Therefore, it can be considered as a stronger predictor of the presence of IR among the Roma (AUCRoma = 0.673 vs. AUCHG = 0.528). Furthermore, oGRS also showed a significant correlation with reduced estimated longevity in the Roma population (β = −0.724, 95% CI: −1.230−−0.218; p = 0.005), but not in the HG one (β = 0.065, 95% CI: −0.388−0.518; p = 0.779). Overall, IR shows a strong correlation with a genetic predisposition among Roma, but not in the HG population. Furthermore, the increased genetic risk of Roma is associated with shorter estimated longevity, whereas this association is not observed in the HG one. Increased genetic susceptibility of Roma to IR should be considered in preventive programs targeting the development of type 2 diabetes, which may also reduce the risk of preventable premature death among them.

Project description:The Roma populations in Central and Eastern Europe are two to three times more likely to have unmet health needs compared to non-Roma residents. The aim of the present study was to investigate the disparity in screening attendance between Hungarian-speaking Roma (R) and non-Roma (nR) women in Hungary (HU-R:322; nR:294), Romania (RO-R:258; nR:183), and Slovakia (SK-R:146; nR:163), while also identifying the factors that influence attendance at any kind of screening tests in both populations. In order to examine these factors, a multiple binary logistic regression was conducted. The findings revealed significant associations between attendance at any kind of screening tests and certain factors among different groups. Among Hungarian Roma women, it was found that having a chronic disease and smoking were linked to attendance at any kind of screening tests (p = 0.009). Specifically, having a chronic disease increased the odds of attendance (OR = 1.71 [1.01, 2.90]), while smoking decreased the odds (OR = 0.57[0.365, 0.91]). In Romania, the study found that not having health insurance decreased the odds of attendance among Roma women (OR = 0.50 [0.27, 0.91]), whereas having a chronic disease increased the odds (OR = 2.87 [1.44, 5.72]) (p = 0.006). Among non-Roma women in Romania, physical inactivity was associated with a decreased likelihood of attendance at any kind of screening tests (OR = 0.48 [0.25, 0.95]). Among Slovakian Roma women, not having health insurance (OR = 0.09[0.02, 0.36]) and smoking (OR = 0.25[0.11, 0.61]) were found to decrease the odds of attendance (p < 0.001). On the other hand, non-Roma women in Slovakia with chronic diseases were more likely to attend at any kind of screening tests (OR = 2.52[1.12, 5.66]). Our research emphasizes the impact of lacking health insurance on screening attendance, particularly among the Roma population. It also highlights the significance of health-related behaviours such as smoking and physical inactivity in relation to missed screening tests, which in turn contribute to the development of non-communicable diseases. Therefore, promoting targeted screening programs for the Roma community is crucial to ensure their access to screening tests, especially in cases of chronic illnesses.

Dataset Information

Data to genetic risk assessment on high-density cholesterol level associated polymorphisms in Hungarian general and Roma populations.

Publications

Data to genetic risk assessment on high-density cholesterol level associated polymorphisms in Hungarian general and Roma populations.

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