DBT-enhanced cognitive-behavioral treatment for trichotillomania: A randomized controlled trial

Background and aims: Limited treatment options are available for trichotillomania (TTM) and most have modest outcomes. Suboptimal treatment results may be due to the failure of existing approaches to address all TTM styles. Methods: Thirty-eight DSM-IV TTM participants were randomly assigned across two study sites to Dialectical Behavior Therapy (DBT) -enhanced cognitive-behavioral treatment (consisting of an 11-week acute treatment and 3-month maintenance treatment) or a minimal attention control (MAC) condition. MAC participants had active treatment after the 11-week control condition. Follow-up study assessments were conducted three and six months after the maintenance period. Results: Open trial treatment resulted in significant improvement in TTM severity, emotion regulation (ER) capacity, experiential avoidance, anxiety and depression with changes generally maintained over time. In the randomized controlled trial, those with active treatment had greater improvement than those in the MAC condition for both TTM severity and ER capacity. Correlations between changes in TTM severity and ER capacity were not reported at post-treatment but did occur in maintenance and follow-up indicating reduced TTM severity with improved ER capacity. Conclusions: DBT-enhanced cognitive-behavioral treatment is a promising treatment for TTM. Future studies should compare this approach to other credible treatment interventions and investigate the efficacy of this approach in more naturalistic samples with greater comorbidity

Automated assembly scaffolding using RagTag elevates a new tomato system for high-throughput genome editing

Advancing crop genomics requires efficient genetic systems enabled by high-quality personalized genome assemblies. Here, we introduce RagTag, a toolset for automating assembly scaffolding and patching, and we establish chromosome-scale reference genomes for the widely used tomato genotype M82 along with Sweet-100, a new rapid-cycling genotype that we developed to accelerate functional genomics and genome editing in tomato. This work outlines strategies to rapidly expand genetic systems and genomic resources in other plant species

Open-Label Study of Duloxetine for the Treatment of Obsessive-Compulsive Disorder

Background: This study sought to investigate the efficacy of duloxetine for the treatment of obsessive-compulsive disorder (DSM-IV). Methods: Twenty individuals were enrolled in a 17-week, open-label trial of duloxetine at Massachusetts General Hospital. Data were collected between March 2007 and September 2012. Study measures assessing obsessive-compulsive disorder symptoms, quality of life, depression, and anxiety were administered at baseline and weeks 1, 5, 9, 13, and 17. The primary outcome measures were the Yale-Brown Obsessive Compulsive Scale and Clinical Global Improvement scale. Results: For the 12 study completers, pre- and posttreatment analyses revealed significant improvements (P<.05) on clinician- and self-rated measures of obsessive-compulsive disorder symptoms and quality of life. Among the 12 completers, more than one-half (n=7) satisfied full medication response criteria. Intention-to-treat analyses (n=20) showed similar improvements (P<.05) on primary and secondary study outcome measures. Conclusion: The results of this study suggest that duloxetine may provide a significant reduction in symptoms for patients with obsessive-compulsive disorder. ClinicalTrials.gov NCT00464698; http://clinicaltrials.gov/ct2/show/NCT00464698?term=NCT00464698&rank=1

Symptom Dimensions in OCD: Item-Level Factor Analysis and Heritability Estimates

To reduce the phenotypic heterogeneity of obsessive-compulsive disorder (OCD) for genetic, clinical and translational studies, numerous factor analyses of the Yale-Brown Obsessive Compulsive Scale checklist (YBOCS-CL) have been conducted. Results of these analyses have been inconsistent, likely as a consequence of small sample sizes and variable methodologies. Furthermore, data concerning the heritability of the factors are limited. Item and category-level factor analyses of YBOCS-CL items from 1224 OCD subjects were followed by heritability analyses in 52 OCD-affected multigenerational families. Item-level analyses indicated that a five factor model: (1) taboo, (2) contamination/cleaning, (3) doubts, (4) superstitions/rituals, and (5) symmetry/hoarding provided the best fit, followed by a one-factor solution. All 5 factors as well as the one-factor solution were found to be heritable. Bivariate analyses indicated that the taboo and doubts factor, and the contamination and symmetry/hoarding factor share genetic influences. Contamination and symmetry/hoarding show shared genetic variance with symptom severity. Nearly all factors showed shared environmental variance with each other and with symptom severity. These results support the utility of both OCD diagnosis and symptom dimensions in genetic research and clinical contexts. Both shared and unique genetic influences underlie susceptibility to OCD and its symptom dimensions.Obsessive Compulsive FoundationTourette Syndrome AssociationAnxiety Disorders Association of AmericaAmerican Academy of Child and Adolescent Psychiatr

Analysis of shared heritability in common disorders of the brain

ience, this issue p. eaap8757 Structured Abstract INTRODUCTION Brain disorders may exhibit shared symptoms and substantial epidemiological comorbidity, inciting debate about their etiologic overlap. However, detailed study of phenotypes with different ages of onset, severity, and presentation poses a considerable challenge. Recently developed heritability methods allow us to accurately measure correlation of genome-wide common variant risk between two phenotypes from pools of different individuals and assess how connected they, or at least their genetic risks, are on the genomic level. We used genome-wide association data for 265,218 patients and 784,643 control participants, as well as 17 phenotypes from a total of 1,191,588 individuals, to quantify the degree of overlap for genetic risk factors of 25 common brain disorders. RATIONALE Over the past century, the classification of brain disorders has evolved to reflect the medical and scientific communities' assessments of the presumed root causes of clinical phenomena such as behavioral change, loss of motor function, or alterations of consciousness. Directly observable phenomena (such as the presence of emboli, protein tangles, or unusual electrical activity patterns) generally define and separate neurological disorders from psychiatric disorders. Understanding the genetic underpinnings and categorical distinctions for brain disorders and related phenotypes may inform the search for their biological mechanisms. RESULTS Common variant risk for psychiatric disorders was shown to correlate significantly, especially among attention deficit hyperactivity disorder (ADHD), bipolar disorder, major depressive disorder (MDD), and schizophrenia. By contrast, neurological disorders appear more distinct from one another and from the psychiatric disorders, except for migraine, which was significantly correlated to ADHD, MDD, and Tourette syndrome. We demonstrate that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine. We also identify significant genetic sharing between disorders and early life cognitive measures (e.g., years of education and college attainment) in the general population, demonstrating positive correlation with several psychiatric disorders (e.g., anorexia nervosa and bipolar disorder) and negative correlation with several neurological phenotypes (e.g., Alzheimer's disease and ischemic stroke), even though the latter are considered to result from specific processes that occur later in life. Extensive simulations were also performed to inform how statistical power, diagnostic misclassification, and phenotypic heterogeneity influence genetic correlations. CONCLUSION The high degree of genetic correlation among many of the psychiatric disorders adds further evidence that their current clinical boundaries do not reflect distinct underlying pathogenic processes, at least on the genetic level. This suggests a deeply interconnected nature for psychiatric disorders, in contrast to neurological disorders, and underscores the need to refine psychiatric diagnostics. Genetically informed analyses may provide important "scaffolding" to support such restructuring of psychiatric nosology, which likely requires incorporating many levels of information. By contrast, we find limited evidence for widespread common genetic risk sharing among neurological disorders or across neurological and psychiatric disorders. We show that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures. Further study is needed to evaluate whether overlapping genetic contributions to psychiatric pathology may influence treatment choices. Ultimately, such developments may pave the way toward reduced heterogeneity and improved diagnosis and treatment of psychiatric disorders

Partitioning the Heritability of Tourette Syndrome and Obsessive Compulsive Disorder Reveals Differences in Genetic Architecture

The direct estimation of heritability from genome-wide common variant data as implemented in the program Genome-wide Complex Trait Analysis (GCTA) has provided a means to quantify heritability attributable to all interrogated variants. We have quantified the variance in liability to disease explained