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

William G. Axinn

Understanding the Connections among Genes, Environment, Family Processes, and Mental Health

Affiliated Research Program

Psychiatric disorders are the leading source of disability worldwide, affecting 53% of the U.S. population and having substantial consequences in terms of individual suffering and family and health outcomes. Dissecting the relationship among community, family, and psychiatric factors is complex because of the high potential for reciprocal causation, creating a formidable challenge to identifying the role of psychiatric disorders in a range of adverse outcomes. The first step toward disentangling this relationship is to identify the role of causal factors that precede the onset of psychiatric disorders. Successful documentation of causal pathways requires longitudinal data on large cohorts with repeated measures of environmental exposures, assessment of social and family variables, genetic data, and mental health outcomes. Our research uses data from one of the few such cohorts available worldwide, the 20-year Chitwan Valley Family Study (CVFS).

The CVFS panel study collects detailed data on social environment factors, migration histories and demographics, and biospecimens from a cohort residing in a setting of unusually high exposures to risk factors (South Asia). Our demographic analyses identify key predictors of psychiatric disorders - focusing on major depression, PTSD, and alcohol use disorders - while our genome-wide genotyping examines the role of polygenic risk scores and genetic modifiers of environmental risk and resilience factors. The project identifies the role of community and gene-environment interactions in producing common psychiatric disorders and creates a resource for helping to identify the role of psychiatric disorders in shaping later life outcomes.

Funding: National Institute of Mental Health (1 R01 MH 110872 01 A1)

Funding Period: 9/1/2017 to 6/30/2021