The Central Dogma of molecular biology, which holds that DNA makes protein and not the other way around, is as influential as it is controversial. Some believe the Dogma has outlived its usefulness, either because it fails to fully capture the ins-and-outs of protein synthesis (Griffiths and Stotz in Genetics and philosophy Cambridge introductions to philosophy and biology,
Diabetes is a high-burden non-communicable disease affecting more than 532 million people worldwide and resulting in a range of life-threatening comorbidities. Pre-identifying high-risk individuals and applying preventive actions will likely reduce the prevalence and health consequences of diabetes. Under this context, we developed and evaluated the first predictive model of diabetes risk that combines both electrocardiography (ECG) and exposome predictors. A comprehensive list of ECG signals and exposome variables were extracted from the UK Biobank, then used to build and compare a set of machine learning models for diabetes risk prediction. Random Forest combining ECGs and exposome variables achieved an 0.82 ± 0.03 AUC when predicting diabetes risk. This integrative model outperformed separate models based on exposome factors or ECG signals alone. These preliminary results indicate the potential of low-cost machine learning models trained from ECG and exposome data to predict diabetes years before its onset.
Roughly, the Central Dogma of molecular biology states that DNA codes for protein, not the other way around. This principle, which is still heralded in biology as an important element of contemporary biological theory (
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.