For most of the health-related causes of morbidity and mortality, environmental risks and genetic vulnerability or proclivity are tightly intertwined, defying simplistic efforts to focus on one or the other. The application of epidemiological and machine learning techniques to nationally-scaled databases presents rich opportunities to understand how genetics and environmental factors influence our health.


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