Genomic Insights for Personalized Care: Motivating At-Risk Individuals Toward Evidence-Based Health Practices.
Tony ChenGiang PhamLouis FoxJingning 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)
Lung cancer and tobacco use pose significant global health challenges and require a comprehensive translational roadmap for improved prevention strategies. We propose the GREAT care paradigm ( G enomic Informed Care for Motivating High R isk Individuals E ligible for Evidence-b a sed Prevention), which employs polygenic risk scores (PRSs) to stratify disease risk and personalize interventions, such as lung cancer screening and tobacco treatment. We developed PRSs using large-scale multi-ancestry genome-wide association studies and adjusted for genetic ancestry for standardized risk stratification across diverse populations. We applied our PRSs to over 340,000 individuals of diverse ethnic background and found significant odds ratios for lung cancer and difficulty quitting smoking. These findings enable the evaluation of PRS-based interventions in ongoing trials aimed at motivating health behavior changes in high-risk patients. This pioneering approach enhances primary care with genomic insights, promising improved outcomes in cancer prevention and tobacco treatment, and is currently under assessment in clinical trials.
Keyphrases
- healthcare
- primary care
- public health
- global health
- palliative care
- clinical trial
- quality improvement
- mental health
- genome wide association
- smoking cessation
- ejection fraction
- health information
- type diabetes
- newly diagnosed
- prognostic factors
- squamous cell carcinoma
- pain management
- combination therapy
- gene expression
- metabolic syndrome
- chronic kidney disease
- papillary thyroid