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

Péter Pikó; Szilvia Fiatal; Zsigmond Kósa; János Sándor; Róza Ádány

doi:10.1016/j.dib.2017.07.053

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

Data Brief. 2017 Jul 26:14:354-359. doi: 10.1016/j.dib.2017.07.053. eCollection 2017 Oct.

Authors

Péter Pikó^{1

2}, Szilvia Fiatal^{2

3}, Zsigmond Kósa⁴, János Sándor^{2

3}, Róza Ádány^{1

2

3}

Affiliations

¹ MTA-DE Public Health Research Group of the Hungarian Academy of Sciences, Faculty of Public Health, University of Debrecen, Debrecen 4028, Hungary.
² Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen 4028, Hungary.
³ WHO Collaborating Centre on Vulnerability and Health, Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen 4028, Hungary.
⁴ Department of Health Visitor Methodology and Public Health, Faculty of Health, University of Debrecen, Nyíregyháza 4400, Hungary.

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.

Keywords: Genetic risk score; Genetic susceptibility; High-density lipoprotein cholesterol; Roma population; Single nucleotide polymorphism.