TY - JOUR
T1 - Genomics of posttraumatic stress disorder in veterans
T2 - Methods and rationale for Veterans Affairs Cooperative Study #575B
AU - Radhakrishnan, Krishnan
AU - Aslan, Mihaela
AU - Harrington, Kelly M.
AU - Pietrzak, Robert H.
AU - Huang, Grant
AU - Muralidhar, Sumitra
AU - Cho, Kelly
AU - Quaden, Rachel
AU - Gagnon, David
AU - Pyarajan, Saiju
AU - Sun, Ning
AU - Zhao, Hongyu
AU - Gaziano, Michael
AU - Concato, John
AU - Stein, Murray B.
AU - Gelernter, Joel
N1 - Funding Information:
This research is funded by the Department of Veterans Affairs Cooperative Studies Program.
Funding Information:
CSP#575B Planning Committee: M. Aslan, C. Brandt, J. Concato, J. M. Gaziano, J. Gelernter, T. Gleason, K. Koenen, C. Marx, N. Schork, M. Stein, J. Turner, H. Zhao. CSP#575B Executive Committee: C. Brandt, J. Concato, J. M. Gaziano, J. Gelernter, T. Gleason, G. Huang, K. Koenen, C. Marx, J. Moser, K. Radhakrishnan, N. Schork, M. Stein, H. Zhao. CSP#575B Study Chairs' Offices: VA Connecticut Healthcare System, West Haven, CT, J. Gelernter (Study Co-Chair), J. Kaufman, Y. Nunez, R. Pietrzak. VA San Diego Healthcare System, San Diego, CA, M. Stein (Study Co-Chair), D. Beck, M. R. Behrooznia, S. Cissell, J. A. Nance, T. R. Smith. CSP Epidemiology Centers: VA Clinical Epidemiology Research Center (CERC), VA Connecticut Healthcare System, West Haven, CT, J. Concato (Director), M. Aslan, Q. Chen, K-H Cheung, P. Crutchfield, W. Lance, Y. Li, K. Radhakrishnan, N. Rajeevan, F. Sayward, N. Sun; the Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, J. M. Gaziano (Director), K. Cho, D. Gagnon, K. Harrington, J. Honerlaw, R. Quaden, D. Pratt, S. Pyarajan, S. Whitbourne. VA Office of Research and Development: T. Gleason (Clinical Science Research and Development Service), G. Huang (Cooperative Studies Program), J. Moser (Program Manager, Million Veteran Program), S. Muralidhar (Million Veteran Program), T. O'Leary and R. Ramoni (Chief Research and Development Officers). The authors thank the reviewers for helpful comments. This research is funded by the Department of Veterans Affairs Cooperative Studies Program. The contents do not represent the views of the U.S. Department of Veterans Affairs or the United States Government.
Publisher Copyright:
© 2019 John Wiley & Sons, Ltd.
PY - 2019/3
Y1 - 2019/3
N2 - Objectives: Heritability in the risk for developing posttraumatic stress disorder (PTSD) has been established, but most genome-wide association studies (GWASs) of PTSD involve relatively small sample sizes and limited identification of associated genetic loci. This report describes the methodology of a Veterans Affairs (VA) Cooperative Studies Program GWAS of PTSD among combat-exposed U.S. veterans. Methods: Probable cases (with PTSD) and probable controls (without PTSD) were identified from among veterans enrolled in the VA Million Veteran Program (MVP) with an algorithm developed using questionnaire responses and electronic health record information. This algorithm, based on a statistical model, relied on medical chart reviews as a reference standard and was refined using telephone interviews. Subsequently, to evaluate the impact of probabilistic phenotyping on statistical power, the threshold probability for case–control selection was varied in simulations. Results: As of September 2018, >695,000 veterans have enrolled in MVP. For current analyses, genotyping data were available for >353,000 participants, including >83,000 combat-exposed veterans. A threshold probability of 0.7 for case and control designation yielded an interim >16,000 cases and >33,000 controls. Conclusions: A formal methodological approach was used to identify cases and controls for subsequent GWAS analyses to identify genetic risk loci for PTSD.
AB - Objectives: Heritability in the risk for developing posttraumatic stress disorder (PTSD) has been established, but most genome-wide association studies (GWASs) of PTSD involve relatively small sample sizes and limited identification of associated genetic loci. This report describes the methodology of a Veterans Affairs (VA) Cooperative Studies Program GWAS of PTSD among combat-exposed U.S. veterans. Methods: Probable cases (with PTSD) and probable controls (without PTSD) were identified from among veterans enrolled in the VA Million Veteran Program (MVP) with an algorithm developed using questionnaire responses and electronic health record information. This algorithm, based on a statistical model, relied on medical chart reviews as a reference standard and was refined using telephone interviews. Subsequently, to evaluate the impact of probabilistic phenotyping on statistical power, the threshold probability for case–control selection was varied in simulations. Results: As of September 2018, >695,000 veterans have enrolled in MVP. For current analyses, genotyping data were available for >353,000 participants, including >83,000 combat-exposed veterans. A threshold probability of 0.7 for case and control designation yielded an interim >16,000 cases and >33,000 controls. Conclusions: A formal methodological approach was used to identify cases and controls for subsequent GWAS analyses to identify genetic risk loci for PTSD.
KW - Clinician-Administered PTSD Scale
KW - combat-exposed veterans
KW - genomics
KW - medical record review
KW - posttraumatic stress disorder (PTSD)
UR - http://www.scopus.com/inward/record.url?scp=85061580948&partnerID=8YFLogxK
U2 - 10.1002/mpr.1767
DO - 10.1002/mpr.1767
M3 - Article
C2 - 30767326
AN - SCOPUS:85061580948
SN - 1049-8931
VL - 28
JO - International Journal of Methods in Psychiatric Research
JF - International Journal of Methods in Psychiatric Research
IS - 1
M1 - e1767
ER -