Statistical Methods for Sociogenomics and Behavioral Epigenomics (Salt Lake City, UT)

Instructor(s):

  • Daniel Adkins, University of Utah
  • Andrey Shabalin, University of Utah

Genomic data is quickly becoming a ubiquitous feature of large social and behavioral datasets, including such mainstays as the Health and Retirement Study, and the National Longitudinal Study of Adolescent to Adult Health. Epigenomic data is following close behind, with methylome-wide data collection efforts underway for several such datasets. This availability of genome-wide data in tandem with comprehensive, longitudinal, social and behavioral data presents an unprecedented opportunity for social scientists. And epigenome-wide data on large cohort studies will open even more research avenues, including providing a powerful metric, in methylation age, to assess the impacts of various social disadvantages on accelerated aging. The purpose of this course is to provide social and behavioral scientists with the methodological training necessary to capitalize on this opportunity, offering instruction in the computational and statistical methods essential to incorporating epi/genomic data in social research.

The course begins by examining the structure and characteristics of epi/genome-wide data, and the software tools required to handle it (e.g., R, Plink). Next, we explore the fundamental statistical techniques of epi/genomics — epi/genome-wide association studies (GWAS/EWAS), and related methods for quality control, population stratification, and multiple testing. We then discuss advanced methods currently popular at the cutting edge of sociogenomics and behavioral epigenomics — polygenic risk scoring, methylation age (i.e., "epigenetic clock"), and molecular approaches to gene-environment interaction analyses. At the conclusion of the course, students will be able to handle and analyze epi/genomic data, as well as integrate it in analyses of social and behavioral survey data.

Prerequisites: The workshop assumes that participants have basic proficiency in R (or general high-level programming skills).

Fee: Members = $1500; Non-members = $2800

Tags: sociogenomics, behavioral epigenomics

sociogenomics; epigenomics; behavioral epigenomics

Course Sections

Section 1

Location: University of Utah -- Salt Lake City, Utah

Date(s): July 1 - July 3

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Daniel Adkins, University of Utah
  • Andrey Shabalin, University of Utah

Syllabus: