Exposure to childhood adversity is coded 0 for no reported abuse (521 in the discovery cohort and 1370 in the replication cohort), 1 for 1 category reported (101 in the discovery cohort and 516 in the replication cohort), or 2 for 2 or more forms of child abuse reported (93 in the discovery cohort and 197 in the replication cohort). The PTSD Checklist (PCL) and PTSD Symptom Scale (PSS) scores are continuous measures of posttraumatic stress disorder. A, Discovery cohort (n = 715, P = 1.02 × 10−5 for interaction). B, Replication cohort (n = 2083, P = .0009 for interaction).
A, ADRB2 locus linkage disequilibrium map demonstrating the physical location (lines) and linkage disequilibrium pattern of the selected ADRB2 single-nucleotide polymorphisms within the region in proximity to the most significant SNP (rs2400707), a 47-kilobase region in chromosome 5. The x-axis shows the position on chromosome 5. The lower part shows a linkage disequilibrium plot generated with Haploview (http://www.broadinstitute.org/scientific-community/science/programs/medical-and-population-genetics/haploview/haploview) using R2 as the measure of linkage disequilibrium. B, Three common haplotypes in the ADRB2 promoter region and the observed frequency in the discovery cohort.
eTable 1. Association of SNP?×?ACE and SNP?×?adult trauma linear model interaction terms with PTSD symptoms in the Discovery sample (n?=?715)
eTable 2. Linear regression analyses of PTSD symptoms by rs2400707 and environmental factors in Replication sample N?=?2083
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Liberzon I, King AP, Ressler KJ, et al. Interaction of the ADRB2 Gene Polymorphism With Childhood Trauma in Predicting Adult Symptoms of Posttraumatic Stress Disorder. JAMA Psychiatry. 2014;71(10):1174–1182. doi:10.1001/jamapsychiatry.2014.999
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Posttraumatic stress disorder (PTSD), while highly prevalent (7.6% over a lifetime), develops only in a subset of trauma-exposed individuals. Genetic risk factors in interaction with trauma exposure have been implicated in PTSD vulnerability.
To examine the association of 3755 candidate gene single-nucleotide polymorphisms with PTSD development in interaction with a history of childhood trauma.
Design, Setting, and Participants
Genetic association study in an Ohio National Guard longitudinal cohort (n = 810) of predominantly male soldiers of European ancestry, with replication in an independent Grady Trauma Project (Atlanta, Georgia) cohort (n = 2083) of predominantly female African American civilians.
Main Outcomes and Measures
Continuous measures of PTSD severity, with a modified (interview) PTSD checklist in the discovery cohort and the PTSD Symptom Scale in the replication cohort.
Controlling for the level of lifetime adult trauma exposure, we identified the novel association of a single-nucleotide polymorphism within the promoter region of the ADRB2 (Online Mendelian Inheritance in Man 109690) gene with PTSD symptoms in interaction with childhood trauma (rs2400707, P = 1.02 × 10−5, significant after correction for multiple comparisons). The rs2400707 A allele was associated with relative resilience to childhood adversity. An rs2400707 × childhood trauma interaction predicting adult PTSD symptoms was replicated in the independent predominantly female African American cohort.
Conclusions and Relevance
Altered adrenergic and noradrenergic function has been long believed to have a key etiologic role in PTSD development; however, direct evidence of this link has been missing. The rs2400707 polymorphism has been linked to function of the adrenergic system, but, to our knowledge, this is the first study to date linking the ADRB2 gene to PTSD or any psychiatric disorders. These findings have important implications for PTSD etiology, chronic pain, and stress-related comorbidity, as well as for both primary prevention and treatment strategies.
Posttraumatic stress disorder (PTSD) is a debilitating and highly prevalent (7.6% over a lifetime) consequence of trauma exposure.1,2 Recent large-scale military deployments and high-profile traumatic events have contributed to greater recognition of the PTSD burden both among health professionals3 and the general public.4 Trauma exposure is presumed to constitute a key etiologic factor in PTSD5; however, only a subset of trauma-exposed individuals develops PTSD,2 suggesting that vulnerability and resilience factors might have an important role in PTSD development.
Heritable factors and trauma exposure have been implicated in PTSD by twin and family studies,6-8 suggesting that both genetic and environmental factors are involved; however, larger-scale efforts to identify specific genetic factors are relatively nascent. A recent review of the candidate gene studies of PTSD (approximately 40 to date) addressed 18 gene variants9; however, the majority (10 of 18) were based on a single, relatively small discovery cohort each. Only a few (eg, the FKBP5 gene10-14 and the SLC6A4 gene15,16) had more than 1 positive association, showed no reported negative findings, and involved relatively large cohorts. Beyond candidate gene studies, a small genome-wide association study17 (GWAS) identified a single-nucleotide polymorphism (SNP) within the retinoid-related orphan receptor alpha gene (RORA) as associated with PTSD, and a larger GWAS18 identified SNPs near the Tolloid-like 1 gene (TLL1) as associated with PTSD. Given that expected variance contributed by any single genetic factor is small19 and that the likelihood of pleiotropic and polygenic effects in psychiatric disorders is high,20 major effort is required to both replicate the reported findings and to identify novel risk genes if the goal of identifying genetic risk factors for PTSD is to be accomplished.
Given the centrality of trauma exposure to the etiology of PTSD, a broad range of environmental exposures has been examined in this context, with early childhood trauma emerging as a risk factor linked to both the incident PTSD and the course of PTSD over time.21,22 Importantly, childhood trauma has been shown to act in interaction with the 2 most consistently replicated PTSD risk alleles in the SLC6A4 and FKBP5 genes,10,13,15,16 suggesting that gene × environment (G × E) approaches utilizing continuous measures of adult PTSD severity might be particularly useful in the study of PTSD pathogenesis.
Finally, on the physiological level, while adrenergic and noradrenergic abnormalities have long been believed to have a key etiologic role in PTSD development,23,24 contributing to exaggerated physiological reactivity and hyperarousal symptoms,25-27 direct evidence of genetic variance in noradrenergic and adrenergic function in PTSD has been missing. The PTSD genetic findings so far have mainly implicated serotonin, dopamine, and hypothalamic-pituitary-adrenal axis genes. To address key open questions listed above, we have conducted a candidate gene study in PTSD-relevant pathways, including the adrenergic and noradrenergic systems, using independent discovery and confirmation cohorts and G × E models.
All participants provided written informed consent for genetic association analyses approved by the institutional review boards of Veterans Affairs Ann Arbor Health System, Emory University, or Case Western University. Table 1 lists the demographics of the discovery and replication cohorts. The discovery cohort included 810 active duty Ohio National Guard soldiers. Participants of non-European ancestry by principal components analysis (PCA) (n = 38) or with no lifetime trauma exposure (n = 57) were excluded, leaving 715 trauma-exposed soldiers. Soldiers were from the Ohio National Guard Study of Risk and Resilience,28 a prospective longitudinal study of postdeployment psychological health (n = 2616), recruited from 6514 randomly selected Ohio National Guard members during predeployment training and assessed over 3 annual follow-ups. Demographics, military history, details of deployments, exposures, and psychiatric symptoms were assessed using computer-aided telephone interviews. In total, 72.1% of soldiers had been deployed (≤4 deployments) to combat zones, including Iraq (61.1%), Afghanistan (13.1%), and other combat zones, such as Bosnia and Somalia (8.0%), and 42% of soldiers had been exposed to military combat. Some soldiers had more than 1 deployment. The replication cohort included 2083 trauma-exposed persons, primarily African American women with low levels of income and education, enrolled in the Grady Trauma Project at Emory University.29-31
The discovery cohort was assessed for exposures to 16 categories of deployment-related and 17 nondeployment adult traumatic events and to 4 categories of adverse childhood events (ACEs), including physical abuse, sexual abuse, emotional abuse, and witnessing violence between parents. Their PTSD symptoms were assessed using a 17-item Structured Interview Scale derived from the PTSD Checklist (PCL)32 (score range, 17-85) performed as structured telephone interviews by lay interviewers using epidemiological methods (forced choice symptom severity range, 1-5). Reliability of the telephone interview was validated against the criterion standard, in-person Clinician-Administered PTSD Scale33 interview in a clinical subsample (n = 500), demonstrating high specificity (0.92). Separate PTSD severity assessments were performed for adult lifetime deployment-related and nondeployment-related traumatic exposures. Because the discovery cohort came from a longitudinal study with up to 3 assessments per individual, the highest severity score from any available assessment was used for the highest lifetime PTSD symptom severity.
The replication cohort was assessed for exposures to 14 categories of lifetime traumatic events and ACEs, including childhood sexual, physical, and emotional abuse, using the Traumatic Events Inventory.34,35 Their PTSD symptoms were assessed with the 17-item PTSD Symptom Scale, a self-report instrument (score range, 0-51).36
In the discovery cohort, DNA was obtained from saliva samples (Oragene; DNA Genotek Inc) and was extracted using a machine for rapid isolation (QuickGene-810; Autogen Inc), quantified using a kit (Picogreen; Thermo Fisher Scientific Inc) and gel electrophoresis, and normalized to 600 ng. Genotyping was performed at the University of Michigan DNA Sequencing Core using a custom array (Infinium; Illumina) of 3755 candidate gene SNPs covering haplotype tagging and previously reported SNPs in 295 candidate genes for PTSD (neurotransmitter, neuroendocrine, and other systems associated with PTSD) and 319 SNPs from psychiatric GWAS studies over the past 7 years.
Genome-wide genotyping of the replication cohort was performed at Emory University using a microarray (Human Omni1-Quad BeadChip; Illumina). DNA was obtained from saliva samples (Oragene) or from whole blood, extracted using a kit (Blood DNA Midi; Omega Biotek), quantified by gel electrophoresis, and normalized to 400 ng. The rs2400707 SNP in the replication cohort was imputed from the Human Omni1-Quad BeadChip using unrelated individuals from HapMap37 phase 3 reference samples (reference data set range of chr5:143185574-153183640 and replication cohort data set range of chr5:143192222-153181562). Imputed SNPs with an estimated r2 < 0.30 between imputed and true genotypes and those with posterior probabilities less than 0.90 for the most likely genotype were excluded from subsequent analysis. The SNP rs2400707 had a posterior probability of 0.99.
Data were analyzed with PLINK38 and R.39 Standard data cleaning and quality control were performed before analysis. Some SNPs were excluded owing to a genotyping call rate less than 0.95, minor allele frequency less than 0.05, or Hardy-Weinberg equilibrium deviations. Ten samples with a call rate less than 0.95 were excluded. To assess population substructure, PCA was conducted on genotype data (Eigensoft 3.0; http://helix.nih.gov/Applications/README.eigensoft), and principal components (PCs) were included in the association analyses to guard against potential bias due to population stratification. In the discovery cohort, 88 ancestry-informative SNPs and 1472 SNPs in equilibrium (linkage disequilibrium R2 < .30) from data pruning (Structure; http://pritchardlab.stanford.edu/structure.html) were utilized for PCA, and the top 4 PCs were used in analyses. In the discovery cohort, the entire GWAS data were used for PCA, and 10 PCs were included in the association analysis.
Associations between SNPs and PTSD phenotype (highest reported PCL score) were evaluated using linear regression models in PLINK. Similar to previous work in PTSD examining G × E interactions,10,29 we used a quantitative trait approach (ie, continuous measures of PTSD symptom severity) to increase sensitivity to detect potential genetic influences on the development of PTSD symptoms. Given the strong effect of environmental factors on PTSD symptoms, we tested linear models controlling for sex, lifetime adult trauma, and childhood adversity (ACEs), including interaction terms for SNP × adult trauma and SNP × ACE. The numbers of categories of childhood and adult trauma exposures were used as predictors, as previously reported in both epidemiological22,40 and genetic association10 studies. Because we had an a priori hypothesis regarding gene × early life environment interaction in PTSD, we focused primarily on the SNP × ACE term in analyses of the discovery cohort. Inflation factors in the discovery cohort analyses were calculated for each of the model terms of main effects of SNPs, SNP × ACE, and SNP × adult trauma interactions using ordinary least squares standard errors and with robust (heteroscedasticity consistent) standard errors using the R GWAtoolbox41 robust function.42 To control for multiple comparisons, we used 10 000 permutation analyses permuting the PTSD symptom severity score in the full model (containing main effects and interaction terms)10 using the most significant P value of the SNP × ACE term from each permuted model as the null distribution.
Table 1 lists the characteristics of the primary (Ohio National Guard) and replication (Grady Trauma Project) cohorts. Interview data suggested that 15.1% of the discovery cohort had a lifetime diagnosis of PTSD, with a PTSD symptom severity mean (SD) PCL score of 30.4 (12.5) and a range of 17 (no symptoms endorsed) to 77. As expected, both lifetime adult trauma load (number of categories of exposures endorsed, P < 10−5) and childhood adversity (number of categories of ACE exposures endorsed, P < 10−5) influenced the level of PTSD symptoms, with no significant interaction between these factors (interaction term F1,809 = 1.2, P = .25) and a small correlation between ACEs and adult trauma exposures (r = 0.12).
No significant main effects of SNPs on PTSD symptoms that survived Bonferroni correction threshold for 3755 SNPs (P = 1.33 × 10−5, data available on request) were detected. Because we had an a priori hypothesis regarding interaction with childhood adversity, we tested SNP × ACE interactions in a linear regression model controlling for adult trauma exposure. Associations were detected for the SNP × ACE interaction term in rs2400707 (mean [SD] unstandardized estimate [B] = 3.07 [0.69], β = 0.243, t = 4.48, P = 1.02 × 10−5) and 6 other SNPs in the ADRB2 locus in high linkage disequilibrium with rs2400707 (Table 2). Permutation analysis of the SNP × ACE interaction term further confirmed a significant association with rs2400707 (P < .05 corrected for multiple comparisons). As shown in Figure 1A, rs2400707 AA homozygotes demonstrated lower levels of PTSD symptoms in the presence of 2 or more categories of reported childhood adversity in the discovery cohort. Stratification of the sample by ACEs showed an effect of rs2400707 only in persons with 2 or more reported categories of ACEs (n = 93, mean [SD] B = −6.44 [2.08], t = −3.10, P = .003). Although our primary focus was on continuous measures of PTSD severity, a secondary analysis of binary logistic regression of PTSD caseness confirmed an rs2400707 × ACE interaction (odds ratio, 0.54; P = 5.16 × 10−4), indicating that the A allele is protective in terms of adult PTSD symptoms on categorical PTSD diagnosis.
To control for potential effects of population stratification, we examined the association with the top 4 PCs from the PCA. The PCs were not significantly associated with PTSD symptom severity in a linear model (P > .25 for all), and addition of PCs did not alter the significant association of rs2400707 (P = 1.11 × 10−5). As previously discussed,43 linear regression interaction terms (eg, SNP × ACE and SNP × adult trauma) showed apparent evidence of inflation using ordinary least squares (λ = 1.51 and λ = 1.53, respectively). This was not diminished by the inclusion of PCs (λ = 1.50 and λ = 1.52, respectively) but was substantially diminished by the use of robust standard errors (λ = 0.99 and λ = 0.99, respectively), suggesting that the apparent inflation in the ordinary least squares models is not due to population substructure.43
The 7 ADRB2 SNPs associated with PTSD phenotype in interaction with childhood adversity were in strong linkage disequilibrium within a single haploblock (Figure 2A). Haplotype analysis in the discovery cohort showed 3 major haplotypes accounting for greater than 98% of those observed, H1 (43.6%), H2 (37.4%), and H3 (17.4%) (Figure 2B), consistent with previous findings.44 H1 is tagged by the rs2400707 A allele, which was 99.7% concordant with the H1 haplotype (resolved by the MaCH 1.0 program45) in the discovery cohort. Loading of the H1 haplotype demonstrated a similar interaction of H1 × childhood adversity in linear regression of PTSD symptoms (mean [SD] B = 3.08 [0.71], t = 4.343, P = 1.61 × 10−5) and in logistic regression of PTSD caseness (odds ratio, 0.53; P = 6.1 × 10−4). The next-highest SNP × ACE interactions were in SNPs in the ANK3 and GRIK1 genes (Table 2); however, these effects were not significant (P > .05) after controlling for multiple comparisons. Parameter estimates and raw and corrected P values of ACE × SNP interaction terms for all SNPs tested are listed in eTable 1 in the Supplement.
We confirmed the association of ADRB2 SNP rs2400707 with PTSD symptom level (modified PTSD Symptom Scale score) and interaction with childhood adversity in our replication cohort. In total, 31.5% of the replication cohort had a lifetime diagnosis of PTSD, with a mean (SD) PTSD Symptom Scale score of 12.5 (12.2) and a range of 0 to 45. The observed frequency of the A allele in the replication cohort was 0.43, and the observed AA genotype was found in 417 (20.0%). As shown in Figure 1B, rs2400707 AA homozygotes showed lower levels of PTSD symptoms in the presence of 2 or more categories of reported childhood adversity in the replication cohort. The rs2407007 × ACE interaction in the association with PTSD symptoms in the Grady Trauma Project (mean [SD] B = 1.80 [0.54], t = 3.328, P = .0009) remained significant when using robust standard errors (mean [SD] B = 1.81 [0.60], t = 3.02, P = .0026) after controlling for sex and adult trauma exposure (mean [SD] B = 1.58 [0.50], t = 3.15, P = .0017) and after controlling for the 10 PCs (mean [SD] B = 1.55 [0.51], t = 3.06, P = .0022) (eTable 2 in the Supplement). Again, an effect of rs2400707 was found only in persons with 2 or more reported ACEs (n = 197, mean [SD] B = −5.34 [1.35], t = 3.95, P = .00011). All 3 subscales of PTSD symptoms showed rs2400707 × ACE interaction, including intrusive (mean [SD] B = 0.47 [0.17], t = 2.79, P = .005) and hyperarousal (mean [SD] B = 0.61 [0.20], t = 3.07, P = .002); however, the subscale for avoidance symptoms had the most robust interaction (mean [SD] B = 0.82 [0.24], t = 3.43, P = .0006).
Finally, we tested the same model (linear regression of SNP, ACEs, adult trauma, and SNP × ACE and SNP × adult trauma interaction terms) in the combined data set (adjusting symptom severity measures to the same scale) of both the discovery and replication cohorts. We found that the rs2400707 × ACE interaction term had a mean (SD) B = 0.77 (0.15) (β = 0.19, t = 5.08, P = 3.97 × 10−7).
Our data provide strong evidence that ADRB2 SNPs are associated with PTSD in male soldiers of European American ancestry and in civilian women of African American ancestry who were exposed to trauma and adverse events during childhood. To our knowledge, to date, this is the first direct evidence of the role of genetic variance in the noradrenergic system in PTSD. The association between PTSD symptom severity and rs2400707 in interaction with childhood adversity in the discovery cohort was found using robust standard errors and correction for multiple testing with permutation analyses. The same finding of rs2400707 genotype × childhood adversity interaction was confirmed in the replication cohort, and the combined data set revealed a similar effect (unadjusted P = 3.97 × 10−7). In concert, an association was also found for several other SNPs in the same region of the ADRB2 gene, all in strong linkage disequilibrium with rs2400707, and haplotype analyses suggested that the H1 haplotype is protective. The genetic associations were demonstrated using a G × E model, such that individuals with different rs2400707 genotypes show differential levels of PTSD symptoms as a function of the number of types of adverse childhood exposure (Figure 1A). We found an essentially identical interaction in the replication cohort (Figure 1B). Together, these findings suggest that the ADRB2 gene interacts with childhood adversity, constituting a vulnerability and resilience factor to the development of PTSD symptoms following adult trauma. The rs2400707 A homozygotes (from populations of approximately 19% of European ancestry and 20% of African ancestry [Yoruba from Ibadan, Nigeria] based on International HapMap Project37 data) represent the most resilient group, with no increase in PTSD symptoms despite the exposure to more types of childhood adversity, while the G homozygotes show the greatest vulnerability, and the heterozygotes demonstrate intermediate vulnerability.
The rs2400707 SNP is located in the promoter region of the intronless ADRB2 gene, approximately 1 kilobase (kb) upstream of the start site. It is in strong linkage disequilibrium with several other SNPs in an approximately 2-kb region spanning the promoter and part of the coding region of the ADRB2 gene, which form a single haploblock. We found 3 major haplotypes accounting for greater than 98% of those observed in our discovery cohort, consistent with previous work.44 The A allele of rs2400707 (associated with resilience) tags H1 (HapMap37 tool TagSNP picker), whereas H2 and H3 are differentiated by rs1042713 and rs1042717. ADRB2 haplotypes, including nonsynonymous SNPs in the coding region (rs1042713, Arg16Gly and rs1042714, Gln27Glu), have been linked to altered agonist-induced internalization of the receptor.46 Diatchenko and colleagues44 argued that these haplotypes are associated with altered transcription efficiency, with H1 (tagged by rs2400707 A) coding for low-efficiency transcription. We hypothesize that the AA genotype/H1H1 diplotype (resilient in the face of childhood adversity in both cohorts) represents a low-transcription variant of ADRB2, the gene for the β2-adrenergic receptor. Decreased β2-adrenergic receptor levels are believed to be associated with decreased sympathetic responsiveness, which could be protective against PTSD despite trauma exposure.
Physiologically, the β2-adrenergic receptor is a major transducer of the sympathetic nervous system and the fight-or-flight response. Increased adrenergic and noradrenergic function had been repeatedly invoked to explain exaggerated arousal, hypervigilance, enhanced autonomic responses, and even persistent trauma memories in PTSD,23,26,47-49 and adrenergic β-blockers have been tried as potential early intervention and secondary prevention strategies,50,51 with mixed results. A deletion variant in a different adrenergic system gene (ADRA2B), leading to decreased agonist-promoted phosphorylation and receptor desensitization, has been associated with altered memory for emotionally arousing events47 and increased amygdala activity.52 Molecularly, the β2-adrenergic receptor is a member of the G protein–coupled receptor superfamily and associates intracellularly with the class C L-type calcium channel Cav1.2 encoded by the CACNA1C gene.53CACNA1C is one of the most replicated and strongest signals for psychiatric vulnerability identified to date53 and is associated with risk for both bipolar disorder and schizophrenia in large GWAS studies.54-59 The fact that ADRB2 and CACNA1C are within the same gene network supports the idea that genetic variation within this network could affect psychiatric vulnerability. The next most significant association in interaction with ACEs in the discovery cohort was an SNP in the ANK3 gene. While this finding did not survive multiple comparisons correction, it is intriguing in light of the recent association of ANK3 with PTSD.60
To our knowledge, this is the first report of genetic risk factors for PTSD in National Guard soldiers. The question as to whether the genetic risks for PTSD development are similar in different populations that are exposed to different traumas at different periods in their lives remains to be empirically tested. While some genetic variants (eg, ADCYAP1R1) have been identified as risk factors for women only,31 our findings suggest that ADRB2 factor might be shared by men and women, African Americans and European Americans, and military and civilians. This is consistent with the idea that some genetic risk factors for PTSD might be common across populations and even shared by other stress-related disorders, such as depression.61-63 In this context, the same ADRB2 SNPs have been linked to risk for the development of chronic pain,64,65 and it was previously suggested based on epidemiology and shared physiology66 that common vulnerability factors for stress-related disorders and chronic pain must exist. More recently, evidence was also reported of shared vulnerability for pain and posttrauma psychological symptoms in the COMT gene.67 Further studies will be required to examine both shared and unique genetic vulnerability factors, especially in military cohorts exposed to unique sets of traumas and stressors.
Lifetime trauma exposure was a strong predictor of PTSD symptoms, regardless of the ADRB2 diplotype. This is expected because the severity of trauma exposure had been identified as a major risk factor for PTSD in epidemiological studies.2,21,22 We did not observe significant interaction between genetic variance and lifetime adult trauma exposure, suggesting that genetic variance in interaction with childhood trauma alone can influence adult PTSD symptom severity. However, exposure to 2 or more different childhood traumas predicted PTSD symptoms in rs2400707 G carriers but not in A homozygotes, consistent with findings of interaction with childhood adversity in FKBP5 (which regulates glucocorticoid regulator sensitivity).10 Exposure to 2 or more types of childhood trauma or adversity is likely to signify a qualitatively different type of parental supervision and thus different childhood experience during critical developmental periods. Lower-efficiency transcription and thus lower expression of ADRB2 could protect against negative biological consequences of chronic or repeated activation of adrenergic and noradrenergic systems in childhood adversity exposure.
Certain limitations should be kept in mind when considering these findings. While we have used discovery and replication cohorts and the total number of participants included in the analyses is substantial (n = 2798), it is still relatively modest compared with large-scale genetic projects involving tens of thousands. Thus, further confirmation in large cohorts of participants will be very useful. On the other hand, the G × E analyses used herein require detailed data collection with regard to PTSD symptoms and lifetime and childhood trauma exposure, the collection of which is seldom feasible in very large genetic studies. With respect to generalizability, our cohorts included both sexes, European-ancestry soldiers, and African American civilians. Still, whether the same risk factors are shared by other racial/ethnic groups, various ages, or members of different branches of the military will have to await future confirmation. Finally, physiological data will help to confirm the functional effects of ADRB2 polymorphisms on adrenergic system function.
In summary, we provide evidence that ADRB2 SNPs are strongly associated with the development of PTSD symptoms in persons with a history of childhood adversity. While additional investigations (including deep sequencing) are clearly needed to confirm the existing findings and to identify new ones, these data provide an important lead for both examining the pathogenesis of PTSD and developing specific and effective prevention and intervention strategies.
Submitted for Publication: August 14, 2013; final revision received May 1, 2014; accepted May 8, 2014.
Corresponding Author: Israel Liberzon, MD, Department of Psychiatry, University of Michigan, 4250 Plymouth Rd, Ann Arbor, MI 48105 (email@example.com).
Published Online: August 27, 2014. doi:10.1001/jamapsychiatry.2014.999.
Author Contributions: Drs King and Liberzon contributed equally to this work. Drs King and Liberzon had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Liberzon, King, Tamburrino, Calabrese, Galea.
Acquisition, analysis, or interpretation of data: Liberzon, King, Ressler, Almli, Zhang, Ma, Cohen, Calabrese.
Drafting of the manuscript: Liberzon, King, Ressler, Almli, Tamburrino.
Critical revision of the manuscript for important intellectual content: Liberzon, King, Ressler, Zhang, Ma, Cohen, Calabrese, Galea.
Statistical analysis: King, Ressler, Almli, Zhang, Ma.
Obtained funding: Liberzon, King, Tamburrino, Calabrese, Galea.
Administrative, technical, or material support: Liberzon, King, Ressler, Cohen, Tamburrino, Calabrese, Galea.
Study supervision: Liberzon, King, Calabrese, Galea.
Conflict of Interest Disclosures: None reported.
Funding/Support: This study was supported by grant W81XWH-10-1-0579 from the Congressionally Directed Medical Research Programs, Department of Defense (Calabrese).
Role of the Funder/Sponsor: The funding source had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.