MSGene: a multistate model using genetic risk and the electronic health record applied to lifetime risk of coronary artery disease
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.A new multistate model (MSGene) offers improved coronary artery disease (CAD) risk prediction by integrating genetic and clinical data over a lifetime. This approach enhances early detection and prevention strategies for cardiovascular disease.
Area Of Science
- Cardiovascular Disease Research
- Biostatistics
- Genetics
Background
- Coronary artery disease (CAD) remains a leading global cause of adult mortality.
- Current risk stratification methods for CAD have limitations in integrating longitudinal data and combining genetic with acquired risk factors.
- There is a need for advanced models to provide accurate lifetime risk assessment for personalized prevention.
Purpose Of The Study
- To develop and validate a general multistate model (MSGene) for estimating age-specific transitions across cardiometabolic states.
- To incorporate clinical covariates and a coronary artery disease polygenic risk score into a lifetime risk prediction model.
- To improve upon existing risk prediction tools by handling longitudinal data and combining diverse risk factors.
Main Methods
- Designed a general multistate model (MSGene) to estimate transitions across 10 cardiometabolic states.
- Utilized longitudinal data from 480,638 UK Biobank participants.
- Compared MSGene's predictive performance against the 30-year Framingham risk score using held-out data.
Main Results
- MSGene demonstrated superior discrimination (C-index 0.71 vs 0.66) and earlier detection of high-risk individuals (C-index 0.73 vs 0.52) compared to Framingham.
- The model achieved significantly better overall prediction accuracy (RMSE 1.1% vs 10.9%).
- MSGene was used to refine estimates of lifetime risk reduction from statin initiation.
Conclusions
- The developed multistate model (MSGene) offers enhanced accuracy for lifetime coronary artery disease risk estimation.
- Integrating clinical factors and polygenic risk scores provides a more comprehensive approach to cardiovascular risk assessment.
- MSGene holds significant public health value for enabling earlier and more effective CAD prevention strategies.
These videos have been matched automatically. Contact us if they are not relevant.
These videos have been matched automatically. Contact us if they are not relevant.
Related Concept Videos
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...