Evidence for excess familial clustering of post traumatic stress disorder in the US veterans genealogy resource
Cannon-Albright, L. A., Romesser, J., Teerlink, C. C., Thomas, A., & Meyer, L. J. (2022). Evidence for excess familial
clustering of post traumatic stress disorder in the US Veterans genealogy resource. Journal of Psychiatric Research,
150, 332-337. https://doi.org/10.1016/j.jpsychires.2021.12.018
Abstract Created by REACH
A genealogy of the United States (US) was created by combining public data on over
70 million individuals’ ancestors and descendants, representing 20-25% of the population. The US Veterans
Genealogy Project linked the US genealogy data with demographic and medical record data from the Veterans
Health Administration (VHA) to examine health-related outcomes and family patterns across generations of
Veterans. This current study used these linked records to examine possible familial clustering (i.e., the presence
of a disease within a family beyond what is expected) of posttraumatic stress disorder (PTSD) diagnoses. The
Veteran data included 284,382 VHA patients and their more than 3 million ancestors. Analyses compared
observed, or actual, relatedness among individuals with PTSD with the expected relatedness among similar
individuals in the same population to identify excess relatedness and increased familial risk of PTSD. Results
provided emerging evidence indicating a heritable component to PTSD predisposition; that evidence included
systematic clustering of individuals with PTSD in the same family line, elevated risk of PTSD for first-, second-,
and third-degree relatives, and the identification of multiple high-risk family lines.
Research summaries convey terminology used by the scientists who authored the original research article; some terminology may not align with the federal government's mandated language for certain constructs.
Cookie Preferences
We use cookies to enhance your browsing experience. Please review our Privacy Statement for more information.
Necessary cookies: Essential for the website to function properly.
Analytics cookies: Help us understand how visitors interact with our website.