Comparison of genetic risk prediction models to improve prediction of coronary heart disease in two large cohorts of the MONICA/KORA study

Clicks: 211
ID: 268460
2021
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
It is still unclear how genetic information, provided as single-nucleotide polymorphisms (SNPs), can be most effectively integrated into risk prediction models for coronary heart disease (CHD) to add significant predictive value beyond clinical risk models. For the present study, a population-based …
Reference Key
a2021geneticcomparison Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Bauer A;Zierer A;Gieger C;Büyüközkan M;Müller-Nurasyid M;Grallert H;Meisinger C;Strauch K;Prokisch H;Roden M;Peters A;Krumsiek J;Herder C;Koenig W;Thorand B;Huth C;;
Journal genetic epidemiology
Year 2021
DOI
DOI not found
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.