11 Clinical Trials for Various Conditions
In a multi-ethnic population, a genome-wide polygenic risk score (PRS) for systolic blood pressure (SBP), incorporating over one million common genetic variants, predicts blood pressure (BP) traits and the risk of adverse cardiovascular events beyond traditional risk factors. Delivering SBP PRS information to young and middle-aged adults with hypertension (HTN) and poor cardiovascular health (CVH) may enhance their motivation to adopt healthier lifestyles, improve blood pressure control, and ultimately reduce the risk of future cardiovascular disease (CVD). This randomized controlled trial will assess the impact of SBP PRS disclosure and theory-based genomic counseling on systolic blood pressure and health behaviors. A total of 300 adults aged 18-55 years will be enrolled and randomized to receive either routine clinical care or SBP PRS results with structured genomic counseling based on the Health Belief Model (HBM). Participants will be followed for 12 months. The primary outcome is change in 24-hour mean SBP from baseline to one year. Secondary outcomes include changes in physical activity, diet, medication adherence, smoking, lipid and glucose levels, and body composition. The study will also evaluate how behavior change is influenced by health beliefs, including perceived risk and self-efficacy. This study aims to advance the use of genomic tools in hypertension management and cardiovascular disease prevention.
The overall goal of the Polygenic Risk Scores and Multi-cancer Early Detection for Ovarian Cancer (PROMISE) study is to better understand how women may incorporate both polygenic risk score (PRS) and novel early detection strategies in their decisions regarding cancer screening and risk reducing surgery. This study will conduct qualitative interviews to better understand women's attitudes regarding polygenic risk score (PRS) and early detection assays.
This study aims to assess how a polygenic risk score (PRS) reported with the results of multi-gene panel testing affects the breast cancer risk management recommendations healthcare providers make to their patients. The PRS is a score based on small genetic changes, clinical history, and family history. The PRS is used to estimate remaining lifetime risk of developing breast cancer for patients with no personal history of breast cancer and an overall negative result from MGPT.
The goal of this study is to assess the benefit to physicians and patients of adding an integrated risk score (IRS) to existing coronary artery risk tools by conducting a randomized prospective study. IRS combines both an individual's coronary artery disease (CAD) polygenic risk score (PRS) and clinical risk factors, like cholesterol levels and age. This study will examine to what extent IRS knowledge impacts physician/provider behavior as well as clinical outcomes including cholesterol levels and incident heart disease.
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
Prostate cancer is the most common non-skin cancer among Veterans and the second leading cause of male cancer death. Current methods of screening men for prostate cancer are inaccurate and cannot identify which men do not have prostate cancer or have low-grade cases that will not cause harm and which men have significant prostate cancer needing treatment. False-positive screening tests can result in unnecessary prostate biopsies for men who do not need them. However, new genetic testing might help identify which men are at highest risk for prostate cancer. This study will examine whether a genetic test helps identify men at risk for significant prostate cancer while helping men who are at low risk for prostate cancer avoid unnecessary biopsies. If this genetic test proves beneficial, it will improve the way that healthcare providers screen male Veterans for prostate cancer.
The goal of this randomized controlled trial is to assess the impact of disclosing a high polygenic risk result for coronary artery disease on change in cardiovascular health over one year.
The purpose of this study is to evaluate an online educational tool that will help individuals better understand alcohol use disorder, risk factors, and genetic risk information and to better understand participant's beliefs regarding alcohol use disorder. This study does not involve genetic testing. Investigators will not be giving participants any personalized genetic feedback as part of the study; however, investigators will ask participants to imagine that they receive different hypothetical genetic risk scores and respond to survey items.
The objective of the Gestational Diabetes Genetic Socioeconomic Risk Study is to generate genome wide association study data (GWAS) to calculate polygenic risk scores (PRS) for the development of gestational diabetes in pregnant women. Oshun Medical's GWAS study will be conducted by collecting DNA samples alongside medical and socioeconomic data and applying data science methodology to generate a polygenic risk score algorithm for gestational diabetes. Our hypothesis is that key genetic variants linked to gestational diabetes will be identified, and sociodemographic characteristics may impact epigenetic factors which further contribute to this risk of gestational diabetes. The PRS generated through our study will be combined with an analysis of epigenetic factors to produce a new method for predicting risk of developing gestational diabetes during pregnancy.
This trial will determine the clinical effectiveness of polygenic risk score testing among patients at high genetic risk for at least one of six diseases (coronary artery disease, atrial fibrillation, type 2 diabetes mellitus, colorectal cancer, breast cancer, or prostate cancer), measured by time-to-diagnosis of prevalent or incident disease over 24 months.
The goal of this double-blind randomized controlled trial is to determine how treatment with high intensity statin, low-dose colchicine, and their combination modulates progression and composition of coronary atherosclerosis in individuals with high polygenic risk for coronary artery disease.