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Social scientists have been interested in studying the interactive process between social and genetic factors in shaping health outcomes. With technological developments in collecting and measuring biological information, biomarkers are increasingly included in large-scale population-based social surveys. This presentation will provide an overview of various strategies of incorporating biomarkers in modeling health outcomes. The development of modeling strategies is driven by both theoretical development, and data availability. In summary, including biomarkers in health outcome studies has greatly expanded our understanding of how social factors influence health outcomes. However, these modeling strategies are just the beginning with the rapid development of the genetics research.
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