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001-es BibID:	BIBFORM070422
Első szerző:	Pikó Péter (biológus)
Cím:	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
Dátum:	2017
Megjegyzések:	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 (Pikoetal., 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.
Tárgyszavak:	Orvostudományok Elméleti orvostudományok idegen nyelvű folyóiratközlemény külföldi lapban Single nucleotide polymorphism Genetic susceptibility Genetic risk score High-density lipoprotein cholesterol Roma population
Megjelenés:	Data Brief. - 14 (2017), p. 354-359. -
További szerzők:	Fiatal Szilvia (1978-) (epidemiológus, népegészségügyi szakember) Kósa Zsigmond (1953-) (orvos) Sándor János (1966-) (orvos-epidemiológus) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos)
Pályázati támogatás:	TÁMOP-4.2.1. B-09/1/KONV-2010-0007 TÁMOP TÁMOP-4.2.2.A-11/1/KONV-2012-0031 TÁMOP GINOP-2.3.2-15-2016-00005 GINOP MTA11010andTK2016-78 MTA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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