دورية أكاديمية
The necessity of incorporating non-genetic risk factors into polygenic risk score models.
| العنوان: | The necessity of incorporating non-genetic risk factors into polygenic risk score models. |
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| المؤلفون: | van Dam S; Department of Endocrinology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands. Sipkovandam@gmail.com.; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands. Sipkovandam@gmail.com., Folkertsma P; Department of Endocrinology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands.; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands., Castela Forte J; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands.; Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands., de Vries DH; Department of Endocrinology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands.; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands., Herrera Cunillera C; Department of Endocrinology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands.; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands., Gannamani R; Ancora Health B.V., Herestraat 106, 9711 LM, Groningen, The Netherlands.; Department of Neurology, University of Groningen, University Medical Center Groningen, P.O. Box 31000, 9700 RB, Groningen, The Netherlands., Wolffenbuttel BHR; Department of Endocrinology, University of Groningen, University Medical Center Groningen, P.O. Box 30001, 9700 RB, Groningen, The Netherlands. |
| المصدر: | Scientific reports [Sci Rep] 2023 Feb 20; Vol. 13 (1), pp. 1351. Date of Electronic Publication: 2023 Feb 20. |
| نوع المنشور: | Journal Article; Research Support, Non-U.S. Gov't |
| اللغة: | English |
| بيانات الدورية: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: London : Nature Publishing Group, copyright 2011- |
| مواضيع طبية MeSH: | Diabetes Mellitus, Type 2*/genetics , Coronary Artery Disease*/genetics, Humans ; Genetic Predisposition to Disease ; Risk Factors ; Genetic Testing |
| مستخلص: | The growing public interest in genetic risk scores for various health conditions can be harnessed to inspire preventive health action. However, current commercially available genetic risk scores can be deceiving as they do not consider other, easily attainable risk factors, such as sex, BMI, age, smoking habits, parental disease status and physical activity. Recent scientific literature shows that adding these factors can improve PGS based predictions significantly. However, implementation of existing PGS based models that also consider these factors requires reference data based on a specific genotyping chip, which is not always available. In this paper, we offer a method naïve to the genotyping chip used. We train these models using the UK Biobank data and test these externally in the Lifelines cohort. We show improved performance at identifying the 10% most at-risk individuals for type 2 diabetes (T2D) and coronary artery disease (CAD) by including common risk factors. Incidence in the highest risk group increases from 3.0- and 4.0-fold to 5.8 for T2D, when comparing the genetics-based model, common risk factor-based model and combined model, respectively. Similarly, we observe an increase from 2.4- and 3.0-fold to 4.7-fold risk for CAD. As such, we conclude that it is paramount that these additional variables are considered when reporting risk, unlike current practice with current available genetic tests. (© 2023. The Author(s).) |
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| تواريخ الأحداث: | Date Created: 20230222 Date Completed: 20230224 Latest Revision: 20230316 |
| رمز التحديث: | 20240628 |
| مُعرف محوري في PubMed: | PMC9941118 |
| DOI: | 10.1038/s41598-023-27637-w |
| PMID: | 36807592 |
| قاعدة البيانات: | MEDLINE |
Find this article in full text from Springer Verlag. 
Full Text Finder | تدمد: | 2045-2322 |
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| DOI: | 10.1038/s41598-023-27637-w |