1. Fulton, J. J. et al. The prevalence of posttraumatic stress disorder in operation enduring freedom/operation iraqi freedom (OEF/OIF) veterans: a meta-analysis. J. Anxiety Disord. 31, 98–107 (2015).

2. Logue, M. W. et al. A genome-wide association study of post-traumatic stress disorder identifies the retinoid-related orphan receptor alpha (RORA) gene as a significant risk locus. Mol. Psychiatry 18, 937–942 (2013).

3. Stein, M. B. et al. Genome-wide association studies of posttraumatic stress disorder in 2 cohorts of US army soldiers. JAMA Psychiatry 73, 695–704 (2016).

4. Xie, P. et al. Genome-wide association study identifies new susceptibility loci for posttraumatic stress disorder. Biol. Psychiatry 74, 656–663 (2013).

5. Duncan, L. E. et al. Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability. Mol. Psychiatry 23, 666–673 (2018).

6. Blanchard, E. B., Jones-Alexander, J., Buckley, T. C. & Forneris, C. A. Psychometric properties of the PTSD Checklist (PCL). Behav. Res. Ther. 34, 669–673 (1996).

7. Battle, A., Brown, C. D., Engelhardt, B. E. & Montgomery, S. B. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017).

8. GTEx Consortium. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017).

9. Skene, N. G. et al. Genetic identification of brain cell types underlying schizophrenia. Nat. Genet. 50, 825–833 (2018).

10. Barbano, A. C. et al. Clinical implications of the proposed ICD-11 PTSD diagnostic criteria. Psychol. Med. 49, 483–490 (2019).

11. Stefansson, H. et al. A common inversion under selection in Europeans. Nat. Genet. 37, 129–137 (2005).

12. Cáceres, A., Sindi, S. S., Raphael, B. J., Cáceres, M. & González, J. R. Identification of polymorphic inversions from genotypes. BMC Bioinformatics 13, 28 (2012).

13. Amstadter, A. B. et al. Corticotrophin-releasing hormone type 1 receptor gene (CRHR1) variants predict posttraumatic stress disorder onset and course in pediatric injury patients. Dis. Markers 30, 89–99 (2011).

14. Kasckow, J. W., Baker, D. & Geracioti, T. D. Jr. Corticotropin-releasing hormone in depression and post-traumatic stress disorder. Peptides 22, 845–851 (2001).

15. McFarlane, A. C., Barton, C. A., Yehuda, R. & Wittert, G. Cortisol response to acute trauma and risk of posttraumatic stress disorder. Psychoneuroendocrinology 36, 720–727 (2011).

16. Smith, D. J. et al. Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci. Mol. Psychiatry 21, 749–757 (2016).

17. Stefansson, H. et al. Common variants conferring risk of schizophrenia. Nature 460, 744–747 (2009).

18. Cross-Disorder Group of the Psychiatric Genomics Consortium. Identification of risk loci with shared effects on five major psychiatric disorders: a genome-wide analysis. Lancet 381, 1371–1379 (2013).

19. Ruderfer, D. M.et al. Polygenic dissection of diagnosis and clinical dimensions of bipolar disorder and schizophrenia. Mol. Psychiatry 19, 1017–1024 (2014).

20. McGrath, J. J. et al. Trauma and psychotic experiences: transnational data from the world mental health survey. Br. J. Psychiatry 211, 373–380 (2017).

21. Waters, F., Blom, J. D., Jardri, R., Hugdahl, K. & Sommer, I. E. C. Auditory hallucinations, not necessarily a hallmark of psychotic disorder. Psychol. Med. 48, 529–536 (2018).

22. Ravindran, L. N. & Stein, M. B. The pharmacologic treatment of anxiety disorders: a review of progress. J. Clin. Psychiatry 71, 839–854 (2010).

23. Krystal, J. H. et al. Adjunctive risperidone treatment for antidepressant-resistant symptoms of chronic military service-related PTSD: a randomized trial. JAMA 306, 493–502 (2011).

24. Gelernter, J. et al. Genome-wide association study of opioid dependence: multiple associations mapped to calcium and potassium pathways. Biol. Psychiatry 76, 66–74 (2014).

25. Okbay, A. et al. Genome-wide association study identifies 74 loci associated with educational attainment. Nature 533, 539–542 (2016).

26. Alexander, M. et al. Rab27-dependent exosome production inhibits chronic inflammation and enables acute responses to inflammatory stimuli. J. Immunol. 199, 3559–3570 (2017).

27. Michopoulos, V., Powers, A., Gillespie, C. F., Ressler, K. J. & Jovanovic, T. Inflammation in fear- and anxiety-based disorders: PTSD, GAD, and beyond. Neuropsychopharmacology 42, 254–270 (2017).

28. Howard, D. M. et al. Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions. Nat. Neurosci. 22, 343–352 (2019).

29. Sumner, J. A. et al. Post-traumatic stress disorder symptoms and risk of hypertension over 22 years in a large cohort of younger and middle-aged women. Psychol. Med. 46, 3105–3116 (2016).

30. Roy, S. S., Foraker, R. E., Girton, R. A. & Mansfield, A. J. Posttraumatic stress disorder and incident heart failure among a community-based sample of US veterans. Am. J. Public Health 105, 757–763 (2015).

31. Raskind, M. A. et al. Trial of prazosin for post-traumatic stress disorder in military veterans. N. Engl. J. Med. 378, 507–517 (2018).

32. Gaziano, J. M. et al. Million Veteran Program: a mega-biobank to study genetic influences on health and disease. J. Clin. Epidemiol. 70, 214–223 (2016).

33. Wilkins, K. C., Lang, A. J. & Norman, S. B. Synthesis of the psychometric properties of the PTSD checklist (PCL) military, civilian, and specific versions. Depress. Anxiety 28, 596–606 (2011).

34. Das, S. et al. Next-generation genotype imputation service and methods. Nat. Genet. 48, 1284–1287 (2016).

35. Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007).

36. Abraham, G. & Inouye, M. Fast principal component analysis of large-scale genome-wide data. PLoS ONE 9, e93766 (2014).

37. Auton, A. et al. A global reference for human genetic variation. Nature 526, 68–74 (2015).

38. Zhan, X., Hu, Y., Li, B., Abecasis, G. R. & Liu, D. J. RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data. Bioinformatics 32, 1423–1426 (2016).

39. de Leeuw, C. A., Mooij, J. M., Heskes, T. & Posthuma, D. MAGMA: generalized gene-set analysis of GWAS data. PLoS Comput. Biol. 11, e1004219 (2015).

40. Watanabe, K., Taskesen, E., van Bochoven, A. & Posthuma, D. FUMA: functional mapping and annotation of genetic associations. Preprint at: https://doi.org/10.1101/110023 (2017).

41. Bulik-Sullivan, B. et al. An atlas of genetic correlations across human diseases and traits. Nat. Genet. 47, 1236–1241 (2015).

42. Bulik-Sullivan, B. K., Loh, P. R., Finucane, H. K., Ripke, S. & Yang, J. LD score regression distinguishes confounding from polygenicity in genome-wide association studies. Nat. Genet. 47, 291–295 (2015).

43. Zheng, J. et al. HAPRAP: a haplotype-based iterative method for statistical fine mapping using GWAS summary statistics. Bioinformatics 33, 79–86 (2017).

44. Zheng, J. et al. LD hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis. Bioinformatics 33, 272–279 (2017).

45. Bycroft, C. et al. Genome-wide genetic data on ~500,000 UK Biobank participants. Preprint at https://doi.org/10.1101/166298 (2017).

46. Aulchenko, Y. S., Ripke, S., Isaacs, A. & van Duijn, C. M. GenABEL: an R library for genome-wide association analysis. Bioinformatics 23, 1294–1296 (2007).

47. Finucane, H. K. et al. Partitioning heritability by functional annotation using genome-wide association summary statistics. Nat. Genet. 47, 1228–1235 (2015).

48. Finucane, H. K. et al. Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types. Nat. Genet. 50, 621–629 (2018).

49. Szklarczyk, D. et al. The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible. Nucleic Acids Res. 45, D362–D368 (2017).