Data-Science for Metabolic and Population Health
Common metabolic conditions such as obesity, insulin resistance and type 2 diabetes have both environmental and genetic causes. For example, we now understand that many genetic regions increase the risk of putting on weight or distributing fat unfavorably, in addition to the important roles played by a lack of physical activity and excessive intake of high-calorie foods. Little is known about how identified genes influence disease or which mechanisms are the best targets for intervention. Hundreds and thousands of molecules (such as the human metabolome or proteome) can now be detected and measured on a massive scale in blood and other tissues. Our team integrates genomic and other biological and ‘omic’ data in large-scale population and clinical studies to characterize the genetic architecture of human metabolism and its influence on health and disease.
For recent results and studies please visit www.omicscience.org