Polygenic Risk Score

DEL-DIP is a prospective observational study employing a Delphi methodology (at least two online rounds) to elicit and consolidate the views of an expert panel within the INNOPREV project. The study aims to develop operational recommendations to support the coordinated implementation of Polygenic Risk Scores (PRS) and wearable devices in cardiovascular prevention. Specifically, it addresses the following research question: which recommendations and requirements-genomic, digital, and clinical/organizational-are necessary to integrate PRS and wearable technologies into routine practice and healthcare services, and for which of these elements do experts achieve consensus (defined as a Content Validity Index, CVI, \> 79%)

The goal of this clinical trial is to evaluate a screening method to detect clinically relevant prostate cancer. This clinical trial is using genetic data to determine a man's risk of cancer, together with multiparametric magnetic resonance imaging (mpMRI) to identify men with higher grade cancer. The main questions it aims to answer are: * If genetic data related to prostate cancer used with MRI can identify higher-grade, potentially fatal prostate cancer * What age a MRI is useful clinically for prostate cancer screening * If deep learning methods used with MRI when the genetic risk of the man is known can more accurately predict significant cancers Participants will: * Get a prostate specific antigen (PSA) blood test * Get an mpMRI * Get the results of their genetic data to determine if they are considered high-, intermediate-, or low-risk for prostate cancer based on the trials genetic testing * Follow-up for this trial based on the participants risk and findings from the PSA test and mpMRI