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

Péter Pikó, Szilvia Fiatal, Zsigmond Kósa, J. Sándor, R. Ádány

Research output: Contribution to journalArticle

3 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)354-359
Number of pages6
JournalData in Brief
Volume14
DOIs
Publication statusPublished - Oct 1 2017

Keywords

  • Genetic risk score
  • Genetic susceptibility
  • High-density lipoprotein cholesterol
  • Roma population
  • Single nucleotide polymorphism

ASJC Scopus subject areas

  • Education
  • General

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