Home > Research . Search . Country . Browse . Small Grants

PSC In The News

RSS Feed icon

Geronimus: Stress makes black women 7.5 years older in biological age than white counterparts

Frey rethinks trends in Millennial mass urganization

Shaefer on new UN report about America's failing safety net

More News

Highlights

Seefeldt promoted to associate professor of social work, associate professor of public policy

Martha Bailey elected to the Board of Officers of the Society of Labor Economists

Charlie Brown elected to the Board of Officers of the Society of Labor Economists

Former PSC trainee Patrick Kline wins SOLE's Sherwin Rosen Prize for "Outstanding Contributions in the Field of Labor Economics"

More Highlights

Next Brown Bag

More PSC brown bags, Fall 2018

Jessica Faul

Genomic Analysis for Social-Behavioral Scientists

Research Project Description
Jessica Faul, Colter Mitchell, Sharon L. R. Kardia, Jennifer A. Smith, Erin Bakshis Ware

This educational program uses a workshop and series of online modules to build the capacity of social and behavioral scientists to conduct genomic research using NIH-funded data sources such as the Health and Retirement Study (HRS). The program will 1) offer an annual training workshop with a hands-on lab component at the University of Michigan, 2) create a series of online tutorials that can augment the workshop or serve as stand-alone exercises, and 3) link these custom tools with resources already available on the web. The course and supporting materials focus on providing hands-on training for researchers working at the intersection of genetics and social science research, using HRS data as a model, but are broadly applicable to any social science study with genetic data. The program will provide a biological overview of genetics and functional genomics as well as an introduction to current statistical and genetic methods for studying human complex traits. Hands-on analyses are an integral part of the course, and the workshop examinations of the new ways to combine genetic with social science data are intended to facilitate cross-disciplinary collaborations among attendees and project investigators.

Funding: National Institute on Aging (1 R25 AG 053227 01)

Funding Period: 9/15/2016 to 4/30/2021