Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology
Introduction Classical risk factors such as hypertension, hypercholesterolemia, pre-diabetes, diabetes and obesity can predict adverse cardiovascular events, but they are less prognostic in patients aged < 60 years. Polygenic risk scores (PRS) can be effective in predicting adverse coronary event...
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Termedia Publishing House
2024-08-01
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| Series: | Archives of Medical Science |
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| Online Access: | https://www.archivesofmedicalscience.com/Risk-of-adverse-cardiovascular-events-based-on-common-genetic-variants-in-8-year,192147,0,2.html |
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| author | Maciej Banach Martyna Fronczek Tadeusz Osadnik Agnieszka Gach Dominik Strapagiel Marcin Słomka Mateusz Lejawa Anna Goc Ewa Boniewska-Bernacka Anna Pańczyszyn Gregory Y.H. Lip Dimitri P. Mikhailidis Peter P. Toth Peter E. Penson Jacek Jóźwiak |
| author_facet | Maciej Banach Martyna Fronczek Tadeusz Osadnik Agnieszka Gach Dominik Strapagiel Marcin Słomka Mateusz Lejawa Anna Goc Ewa Boniewska-Bernacka Anna Pańczyszyn Gregory Y.H. Lip Dimitri P. Mikhailidis Peter P. Toth Peter E. Penson Jacek Jóźwiak |
| author_sort | Maciej Banach |
| collection | DOAJ |
| description | Introduction
Classical risk factors such as hypertension, hypercholesterolemia, pre-diabetes, diabetes and obesity can predict adverse cardiovascular events, but they are less prognostic in patients aged < 60 years. Polygenic risk scores (PRS) can be effective in predicting adverse coronary events in younger and middle-aged patients. Our main aim is to assess the utility of a new PRS created for the Polish population in predicting mortality during an 8-year follow-up in the nationwide LIPIDOGEN2015 population.
Material and methods
All DNA samples of 1779 patients were genotyped using Infinium Global Screening Array-24+ v3.0 Kit microarrays. The samples were amplified, fragmented, and hybridized to BeadChips. The BeadChips were scanned using iScan and converted to genotypes using Genome Studio 2.0.
Results
We will develop a PRS based on the identified single nucleotide polymorphisms (SNPs) in the LIPIDOGEN2015 project’s studied population and determine the analyzed group’s risk of death due to cardiovascular diseases (CVD) based on data obtained from 8 years of patient-follow-up. Using the developed PRS scale and biochemical analyses, we will assess the effectiveness of lipid-lowering therapy with statins in patients with high and low genetic risk of sudden CVD events (secondary endpoints).
Conclusions
The developed PRS scale, combined with clinical covariates, will facilitate the creation of an algorithm to predict long-term mortality. This will enable us to stratify CVD risk more precisely, which may result in earlier implementation of lifestyle changes and dietary adjustments and potentially initiate earlier pharmacotherapy for at-risk individuals. |
| format | Article |
| id | doaj-art-99a825b634c844258fa5b96d48898fe6 |
| institution | Kabale University |
| issn | 1734-1922 1896-9151 |
| language | English |
| publishDate | 2024-08-01 |
| publisher | Termedia Publishing House |
| record_format | Article |
| series | Archives of Medical Science |
| spelling | doaj-art-99a825b634c844258fa5b96d48898fe62025-01-27T10:44:30ZengTermedia Publishing HouseArchives of Medical Science1734-19221896-91512024-08-012051452146010.5114/aoms/192147192147Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodologyMaciej Banach0https://orcid.org/0000-0001-6690-6874Martyna Fronczek1https://orcid.org/0000-0003-3669-1416Tadeusz Osadnik2https://orcid.org/0000-0002-3202-6972Agnieszka Gach3https://orcid.org/0000-0002-6590-5797Dominik Strapagiel4https://orcid.org/0000-0001-9752-4270Marcin Słomka5https://orcid.org/0000-0002-7906-5549Mateusz Lejawa6https://orcid.org/0000-0002-1228-7534Anna Goc7https://orcid.org/0000-0003-4271-1954Ewa Boniewska-Bernacka8https://orcid.org/0000-0002-4424-8409Anna Pańczyszyn9https://orcid.org/0000-0003-1580-3925Gregory Y.H. Lip10https://orcid.org/0000-0002-7566-1626Dimitri P. Mikhailidis11Peter P. Toth12https://orcid.org/0000-0001-5810-5460Peter E. Penson13https://orcid.org/0000-0001-6763-1489Jacek Jóźwiak14https://orcid.org/0000-0002-2645-7274Department of Cardiology and Adult Congenital Heart Diseases, Polish Mother’s Memorial Hospital Research Institute (PMMHRI), Lodz, PolandDepartment of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, PolandDepartment of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, PolandDepartment of Genetics, Polish Mother’s Memorial Hospital-Research Institute (PMMHRI), Lodz, PolandBiobank Lab, Department of Oncobiology and Epigenetics, Faculty of Biology and Environmental Protection, University of Lodz, PolandBiobank Lab, Department of Oncobiology and Epigenetics, Faculty of Biology and Environmental Protection, University of Lodz, PolandDepartment of Pharmacology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, Katowice, PolandInstitute of Medical Sciences, Department of Biology and Genetics, Faculty of Medicine, University of Opole, PolandInstitute of Medical Sciences, Department of Biology and Genetics, Faculty of Medicine, University of Opole, PolandInstitute of Medical Sciences, Department of Biology and Genetics, Faculty of Medicine, University of Opole, PolandLiverpool Centre for Cardiovascular Science at University of Liverpool, Liverpool John Moores University, and Liverpool Heart and Chest Hospital, Liverpool, UKDepartment of Clinical Biochemistry, Royal Free Hospital Campus, University College London Medical School, University College London (UCL), London, UKCiccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, USALiverpool Centre for Cardiovascular Science (LCCS), Liverpool, UKDepartment of Family Medicine and Public Health, Faculty of Medicine, University of Opole, PolandIntroduction Classical risk factors such as hypertension, hypercholesterolemia, pre-diabetes, diabetes and obesity can predict adverse cardiovascular events, but they are less prognostic in patients aged < 60 years. Polygenic risk scores (PRS) can be effective in predicting adverse coronary events in younger and middle-aged patients. Our main aim is to assess the utility of a new PRS created for the Polish population in predicting mortality during an 8-year follow-up in the nationwide LIPIDOGEN2015 population. Material and methods All DNA samples of 1779 patients were genotyped using Infinium Global Screening Array-24+ v3.0 Kit microarrays. The samples were amplified, fragmented, and hybridized to BeadChips. The BeadChips were scanned using iScan and converted to genotypes using Genome Studio 2.0. Results We will develop a PRS based on the identified single nucleotide polymorphisms (SNPs) in the LIPIDOGEN2015 project’s studied population and determine the analyzed group’s risk of death due to cardiovascular diseases (CVD) based on data obtained from 8 years of patient-follow-up. Using the developed PRS scale and biochemical analyses, we will assess the effectiveness of lipid-lowering therapy with statins in patients with high and low genetic risk of sudden CVD events (secondary endpoints). Conclusions The developed PRS scale, combined with clinical covariates, will facilitate the creation of an algorithm to predict long-term mortality. This will enable us to stratify CVD risk more precisely, which may result in earlier implementation of lifestyle changes and dietary adjustments and potentially initiate earlier pharmacotherapy for at-risk individuals.https://www.archivesofmedicalscience.com/Risk-of-adverse-cardiovascular-events-based-on-common-genetic-variants-in-8-year,192147,0,2.htmlpolygenic risk scorecardiovascular diseaserisk factors |
| spellingShingle | Maciej Banach Martyna Fronczek Tadeusz Osadnik Agnieszka Gach Dominik Strapagiel Marcin Słomka Mateusz Lejawa Anna Goc Ewa Boniewska-Bernacka Anna Pańczyszyn Gregory Y.H. Lip Dimitri P. Mikhailidis Peter P. Toth Peter E. Penson Jacek Jóźwiak Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology Archives of Medical Science polygenic risk score cardiovascular disease risk factors |
| title | Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology |
| title_full | Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology |
| title_fullStr | Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology |
| title_full_unstemmed | Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology |
| title_short | Risk of adverse cardiovascular events based on common genetic variants in 8-year follow-up of the LIPIDOGEN2015 population using the polygenic risk score (PRS): study design and methodology |
| title_sort | risk of adverse cardiovascular events based on common genetic variants in 8 year follow up of the lipidogen2015 population using the polygenic risk score prs study design and methodology |
| topic | polygenic risk score cardiovascular disease risk factors |
| url | https://www.archivesofmedicalscience.com/Risk-of-adverse-cardiovascular-events-based-on-common-genetic-variants-in-8-year,192147,0,2.html |
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