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Meta-Analysis
. 2018 Mar;23(3):666-673.
doi: 10.1038/mp.2017.77. Epub 2017 Apr 25.

Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability

Affiliations
Meta-Analysis

Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability

L E Duncan et al. Mol Psychiatry. 2018 Mar.

Abstract

The Psychiatric Genomics Consortium-Posttraumatic Stress Disorder group (PGC-PTSD) combined genome-wide case-control molecular genetic data across 11 multiethnic studies to quantify PTSD heritability, to examine potential shared genetic risk with schizophrenia, bipolar disorder, and major depressive disorder and to identify risk loci for PTSD. Examining 20 730 individuals, we report a molecular genetics-based heritability estimate (h2SNP) for European-American females of 29% that is similar to h2SNP for schizophrenia and is substantially higher than h2SNP in European-American males (estimate not distinguishable from zero). We found strong evidence of overlapping genetic risk between PTSD and schizophrenia along with more modest evidence of overlap with bipolar and major depressive disorder. No single-nucleotide polymorphisms (SNPs) exceeded genome-wide significance in the transethnic (overall) meta-analysis and we do not replicate previously reported associations. Still, SNP-level summary statistics made available here afford the best-available molecular genetic index of PTSD-for both European- and African-American individuals-and can be used in polygenic risk prediction and genetic correlation studies of diverse phenotypes. Publication of summary statistics for ∼10 000 African Americans contributes to the broader goal of increased ancestral diversity in genomic data resources. In sum, the results demonstrate genetic influences on the development of PTSD, identify shared genetic risk between PTSD and other psychiatric disorders and highlight the importance of multiethnic/racial samples. As has been the case with schizophrenia and other complex genetic disorders, larger sample sizes are needed to identify specific risk loci.

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Conflict of interest statement

Dr Kranzler has been an advisory board member, consultant or CME speaker for Indivior, Lundbeck and Otsuka. He is also a member of the American Society of Clinical Psychopharmacology’s Alcohol Clinical Trials Initiative that is supported by AbbVie, Alkermes, Ethypharm, Indivior, Lilly, Lundbeck, Otsuka, Pfizer and XenoPort. Dr Ressler is a founding member of Extinction Pharmaceuticals to develop D-Cycloserine to augment the effectiveness of psychotherapy. He has received no equity or income from this relationship within the past 3 years. Dr Ressler is also on the Scientific Advisory Boards for Resilience Therapeutics, Sheppard Pratt-Lieber Research Institute, Laureate Institute for Brain Research, The Army STARRS Project and the Anxiety and Depression Association of America. He holds patents for use of D-cycloserine and psychotherapy, targeting PAC1 receptor for extinction, targeting tachykinin 2 for prevention of fear and targeting angiotensin to improve extinction of fear. He receives or has received research funding from NIMH, HHMI, NARSAD, and the Burroughs Wellcome Foundation. In the past 3 years, Dr Dan J Stein has received research grants and/or consultancy honoraria from AMBRF, Biocodex, Cipla, Lundbeck, National Responsible Gambling Foundation, Novartis, Servier and Sun. Dr Murray Stein reports receiving in the past 3 years consultant fees from Actelion, Janssen, Dart Neuroscience, Healthcare Management Technologies and Pfizer. He also has an equity interest in Resilience Therapeutics and Oxeia Biopharmaceuticals. He has also received editorial honoraria from Biological Psychiatry and Up-To-Date. Dr Bierut is listed as an inventor on Issued US Patent 8,080,371, ‘Markers for Addiction’ covering the use of certain SNPs in determining the diagnosis, prognosis and treatment of addiction. In the past 3 years, Dr Kessler received support for his epidemiological studies from Sanofi Aventis; was a consultant for Johnson & Johnson Wellness and Prevention, Shire and Takeda; and has served on an advisory board for the Johnson & Johnson Services Lake Nona Life Project. Kessler is a co-owner of DataStat, a market research firm that carries out health-care research. In the past 3 years, Dr Liberzon has been a consultant for ARMGO Pharmaceutical, Sunovion Pharmaceutical and Trimaran Pharma. The remaining authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Study design for phase 1 PGC-PTSD: (a) single variant GWAS and meta-analyses (b) polygenic analyses. (a) Each of the 19 gray boxes represents one ancestry-assigned data set/GWAS. Within-ancestry meta-analyses were followed by the transethnic meta-analysis. (b) Blue boxes denote polygenic analyses. LDSC could not be applied to the African-American (AA) subsample. Latino/Hispanic (LA) and South African samples were deemed too small for polygenic analyses. GWAS, genome-wide association study; LDSC, linkage disequilibrium score regression; PGC-PTSD, Psychiatric Genomics Consortium-Posttraumatic Stress Disorder group.
Figure 2
Figure 2
Ancestral composition for phase 1 of PGC-PTSD and principal components (PC) plot of individuals’ data. (a) PGC-PTSD (left) compared with the largest psychiatric meta-analyses (center) and estimated world ancestry (right). (b) Plot of first two principal components and assigned ancestry according to the protocol described in the text. Each dot is one individual. GWAS, genome-wide association study; PGC-PTSD, Psychiatric Genomics Consortium-Posttraumatic Stress Disorder group.
Figure 3
Figure 3
PTSD SNP-chip heritability (h2SNP) overall and for males and females separately and comparison with other psychiatric disorders. Gray bars denote PTSD heritability estimates. Slashed bars reflect SCZ, BIP and MDD heritability estimates calculated using LDSC as applied to published data., , Red lines denote twin study heritability estimates, see Discussion. European-American (EA) samples only per description in text; error bars reflect s.e. BIP, bipolar disorder; LDSC, linkage disequilibrium score regression; MDD, major depressive disorder; PTSD, posttraumatic stress disorder; SCZ, schizophrenia; SNP, single-nucleotide polymorphism.

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