Methodology session: Add Health genetic data and genome wide association study

Citation

Avery, Christy & Domingue, Ben (2016). Methodology session: Add Health genetic data and genome wide association study. 2016 Add Health Users Conference. Bethesda, MD.

Abstract

Previously, Add Health made candidate genes and some limited genome-wide association study (GWAS) data on approximately 2,000 sibling pairs available to researchers. The quantity of genetic data available on Add Health respondents is about to greatly increase, both in variant number and population size, as genome-wide data on roughly thirty million imputed variants in approximately 10,000 participants will be available online via dbGaP. This session will describe the Add Health GWAS data and potential uses to interested researchers. In particular, we introduce users to the GWAS data, describe data access steps, highlight best analytic practices, and present types of population-based research in which the data may be used.

URL

https://addhealth.cpc.unc.edu/wp-content/uploads/docs/events/2016%20Add%20Health%20Users%20Conference%20Abstracts_2016_06_16.pdf

Reference Type

Conference proceeding

Book Title

2016 Add Health Users Conference

Author(s)

Avery, Christy
Domingue, Ben

Year Published

2016

City of Publication

Bethesda, MD

Reference ID

6358