Integration of Sociology with Genomic Data in Studies of Social Stratification and Delinquency
Public Deposited- Last Modified
- March 20, 2019
- Creator
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Liu, Hexuan
- Affiliation: College of Arts and Sciences, Department of Sociology
- Abstract
- This dissertation demonstrates how social theories and genomics can be integrated to improve our understanding of sociological issues. I conduct the following studies combining genomic data and conventional sociological measures. First, I investigate the interaction of social environment and genetic factors on delinquency and violence. Using data from the National Longitudinal Study of Adolescent to Adult (Add Health), I find that adverse social environments are associated with greater genetic risk of delinquency and violence, while favorable social environments are associated with smaller genetic risk of delinquency and violence. Second, I assess genetic and environmental contributions to socioeconomic stability and mobility over the life course. I examine genetic and environmental influences on socioeconomic achievement at different life stages, taking advantage of the genome-wide data in HRS. I provide evidence that both genetic and environment factors make significant contributions to stability and mobility of socioeconomic achievement over the life span. Third, I investigate genetic and environmental influences on educational attainment across generations. In this study, I conceptualize a model of multigenerational influences and test the model using educational measures from three generations in conjunction with genome-wide data in HRS. I find significant genetic correlations in educational attainment across three generations. This suggests genetic factors play an important role in stabilizing intergenerational educational attainment in the U.S. Also, I provide evidence that about half of parent’s genetic influence on children’s education can be ascribed to genetic transmission and the other half is medicated by parents’ own education.
- Date of publication
- December 2016
- Keyword
- DOI
- Resource type
- Rights statement
- In Copyright
- Advisor
- Shanahan, Michael
- Guo, Guang
- Nielsen, Francois
- Yang, Claire
- Harris, Kathleen Mullan
- Degree
- Doctor of Philosophy
- Degree granting institution
- University of North Carolina at Chapel Hill Graduate School
- Graduation year
- 2016
- Language
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This work has no parents.
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