A machine learning algorithm trained using 500,000 genetic profiles can predict the height of an individual within about one inch based solely on their genes. Such an algorithm shows great promise for accurate risk assessment of complex diseases and identifying targets for therapy. However, further validation is required to evaluate how the tool will extend to more genetically diverse populations, and standardized methods for assessing genetic variation are necessary. Continue reading A Tall Order: Using Machine Learning to Predict Height from Genetic Variation