文章基本信息

标题：Development of an Algorithm for Determining of Genetic Risk at the Primary Healthcare Level – A New Tool for Primary Prevention: A Study Protocol
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作者：Polona Selič ; Zalika Klemenc-Ketiš ; Erika Zelko 等
期刊名称：Slovenian Journal of Public Health
印刷版ISSN：0351-0026
电子版ISSN：1854-2476
出版年度：2019
卷号：59
期号：1
页码：27-32
DOI：10.2478/sjph-2020-0004
出版社：Walter de Gruyter GmbH
摘要：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 three-generational 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 next-generation 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.
关键词：family medicine ; pedigree ; family history ; genetic predisposition ; population at risk ; družinska medicina ; rodovniki ; družinska anamneza ; genetska predispozicija ; tveganju izpostavljena populacija