Author/Editor     Selič, Polona; Klemenc-Ketiš, Zalika; Zelko, Erika; Kravos, Andrej; Rifel, Janez; Makivić, Irena; Poplas-Susič, Tonka; Tevžič, Špela; Cerovič, Metka; Peterlin, Borut; Kopčavar Guček, Nena
Title     Development of an algorithm for determining of genetic risk at the primary healthcare level - a new tool for primary prevention
Translated title     Razvoj algoritma za določanje genetskega tveganja na primarni ravni zdravstvenega varstva - novo orodje v primarni preventivi
Type     članek
Vol. and No.     Letnik 59, št. 1
Publication year     2020
Volume     str. str. 27-32
ISSN     0351-0026 - Zdravstveno varstvo : Slovenian journal of public health
Language     eng
Abstract     Introduction: Family history (FH) is an important part of the patients' medical history during preventive management at model family medicine practices (MFMP). It currently includes a one (or two) generational inquiry, predominately in terms of cardiovascular diseases, arterial hypertension, and diabetes, but not of other diseases with a probable genetic aetiology. Beside family history, no application-based algorithm is available to determine the risk level for specific chronic diseases in Slovenia. Methods: A web application-based algorithm aimed at determining the risk level for selected monogenic and polygenic diseases will be developed. The data will be collected in MFMP; approximately 40 overall with a sample including healthy preventive examination attendees (approximately 1,000). Demographic data, a threegenerational FH, a medical history of acquired and congenital risk factors for the selected diseases, and other important clinical factors will be documented. Results: The results will be validated by a clinical genetic approach based on family pedigrees and the nextgeneration genetic sequencing method. After the risk of genetic diseases in the Slovenian population has been determined, clinical pathways for acting according to the assessed risk level will be prepared. Conclusion: By means of a public health tool providing an assessment of family predisposition, a contribution to the effective identification of people at increased risk of the selected monogenic and polygenic diseases is expected, lessening a significant public health burden.
Keywords     družinska medicina
rodovniki
družinska anamneza
family medicine
pedigree
family history
Slovenia