Gene-Environment Interactions Data Mini-Conference - Apr 15

The Columbia Population Research Center is pleased to invite you to a mini-conference: 

"Gene-Environment Interactions in the Era of Genome-Wide Data: Conceptual and Analytic Approaches"

 

WHEN & WHERE
Friday, April 15, 2016
9:00am - 2:00pm
Room C03, Concourse Level
Columbia School of Social Work
1255 Amsterdam Avenue (between 121st and 122nd)

 

REGISTRATION REQUIRED

https://cupop.formstack.com/forms/event_rsvp

ABOUT THE CONFERENCE
The ability to conduct genome wide scans or to assess thousands of SNPs on a single CHIP has become more efficient and less costly. Studying the links between genotypes and phenotypes and the interactions between genes and the environment as influencing health and behavior has become more complex and insightful though use of these technologies. Scientists no longer have to rely on assays of a small number of genes in order to identify sensitive or risky gene variants; they now have access to the whole genome. This conference is dedicated to understanding the analytic challenges that the plethora of genetic information raises for psychologists, epidemiologists, demographers, sociologists, statisticians, and economists. We will hear from scientists who are doing cutting edge research on the genome-phenotype link relevant to behavioral and health outcomes in the era of genome-wide genetic approaches. 

Speakers will include:
Dan Belsky, Assistant Professor of Medicine at Duke University School of Medicine and the Social Science Research Institute and Jacobs Foundation Research Fellow (2016-2018)

Daniel J. Benjamin, Daniel Benjamin, Associate Professor (Research) of Economics, University of Southern California

Dalton Conley, University Professor of the Social Sciences, New York University, and Visiting Professor of Sociology, Princeton University

Additionally, Dan Notterman, Professor of Molecular Biology at Princeton University, a biologist and pediatrician, will discuss genome-phenotype issues related to the collection and analysis of genetic data in the context of the Fragile Families and Child Well-Being Study. A panel discussion will follow. 

Agenda