Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices.
Tony ChenGiang PhamLouis FoxNina AdlerXiaoyu WangJingning ZhangJinyoung ByunYounghun HanGretchen R B SaundersDajiang LiuMichael J BrayAlex T RamseyJames McKayLaura BierutChristopher Ian AmosRayjean J HungXihong LinHaoyu ZhangLi-Shiun ChenPublished in: medRxiv : the preprint server for health sciences (2024)
Our PRS-based intervention model leverages large-scale genetic data for robust risk assessment across populations. This model will be evaluated in two cluster-randomized clinical trials aimed at motivating health behavior changes in high-risk patients of diverse ancestry. This pioneering approach integrates genomic insights into primary care, promising improved outcomes in cancer prevention and tobacco treatment.
Keyphrases
- healthcare
- primary care
- risk assessment
- public health
- end stage renal disease
- copy number
- newly diagnosed
- mental health
- randomized controlled trial
- ejection fraction
- human health
- chronic kidney disease
- health information
- palliative care
- electronic health record
- prognostic factors
- papillary thyroid
- peritoneal dialysis
- heavy metals
- type diabetes
- clinical trial
- adipose tissue
- machine learning
- metabolic syndrome
- patient reported outcomes
- squamous cell
- climate change
- quality improvement
- combination therapy
- genome wide association study