Multi-ancestral genome-wide association study of clinically defined nicotine dependence reveals strong genetic correlations with other substance use disorders and health-related traits.

Background: Genetic research on nicotine dependence has utilized multiple assessments that are in weak agreement.

Methods: We conducted a genome-wide association study (GWAS) of nicotine dependence defined using the Diagnostic and Statistical Manual of Mental Disorders (DSM-NicDep) in 61,861 individuals (47,884 of European ancestry [EUR], 10,231 of African ancestry, and 3,746 of East Asian ancestry) and compared the results to other nicotine-related phenotypes.

Results: We replicated the well-known association at the locus (lead single-nucleotide polymorphism [SNP]: rs147144681,  = 1.

Equitable Collaboration Between LMIC and HIC Researchers, Part I: A Preliminary Framework for Capacity Building in Psychiatric Genetics Research.

International collaborations between high-income countries (HICs) and low- and middle-income countries (LMICs) have become increasingly essential in advancing global health, particularly within psychiatric research. These partnerships not only accelerate scientific discovery and enhance public health, but they also bring to light significant challenges in equity and fairness. Specifically, research partnerships often suffer from imbalances, such as "helicopter" research approaches or the exploitation and marginalization of LMIC researchers.

Prescription Opioid Medication Survey: A Tool to Collect Deep Phenotypic Data on the Multifactorial Pathways to Opioid Use Disorder in Clinical and Population-Based Cohorts.

Introduction: We are in the midst of an opioid epidemic. In the USA, more than a third of the country knows someone who has died from an opioid overdose. Prescription opioids (e.

The Psychiatric Genomics Consortium: discoveries and directions.

Research by the Psychiatric Genomics Consortium (PGC) has advanced the discovery of common and rare genetic variations that contribute to the susceptibility to many psychiatric disorders and neurodevelopmental conditions. This Review reflects on major findings from the past 5 years of research by the PGC in five priority areas: discovery of common variants using genome-wide association studies; rare variation and its interplay with polygenic risk; using genetics to go beyond diagnostic boundaries; ascribing functional attributes to genomic discoveries; and developing and implementing processes for data sharing, outreach to various communities, and training. The insights gained in these domains frame the agenda for the next phase of PGC research.

Additive Contributions of Polygenic Risk Scores and Interpersonal Stressors to Adolescent Body Mass Index.

Objective: Genetics contributes to elevated body mass index (BMI) in youth. Adolescents experiencing interpersonal stressors (eg, peer victimization or parental criticism) may additionally be at a heightened risk for developing high BMI. However, few studies have examined the additive contributions of genetic factors and interpersonal stressors to BMI.

Robust inference and widespread genetic correlates from a large-scale genetic association study of human personality.

Personality traits describe stable differences in how individuals think, feel, and behave and how they interact with and experience their social and physical environments. We assemble data from 46 cohorts including 611K-1.14M participants with European-like and African-like genomes for genome-wide association studies (GWAS) of the Big Five personality traits (extraversion, agreeableness, conscientiousness, neuroticism, and openness to experience), and data from 51K participants for within-family GWAS.

An Updated Polygenic Index Repository: Expanded Phenotypes, New Cohorts, and Improved Causal Inference.

Polygenic indexes (PGIs) - DNA-based phenotype predictors for individual phenotypes - have become essential tools across the biomedical and social sciences. We introduce Version 2 of the Polygenic Index Repository, which expands the number of phenotypes from 47 to 61, increases the number of participating datasets from 11 to 20, and adopts a more consistent and improved methodology for PGI construction. For 16 phenotypes, we leverage summary statistics from an updated GWAS meta-analysis with greater statistical power compared to the original release, thereby improving the PGI's predictive power.

Developing a Treatment-Resistant Depression Consultation Program, Part II: Assessment.

To provide recommendations regarding the critical elements of the assessment package in treatment-resistant depression (TRD) consultation programs. This is a complementary manuscript to Part I, which discusses practical and logistical considerations for developing and sustaining a subspecialized TRD consultation program. A group of 12 clinicians, researchers, administrators, and patient advocates from the National Network of Depression Centers (NNDC) TRD Task Group.

Developing a Treatment-Resistant Depression Consultation Program, Part I: Practical and Logistical Considerations.

To provide recommendations for creating and sustaining a treatment-resistant depression (TRD) consultation program at an academic health center. This is a complementary manuscript to Part II, which discusses critical elements of the assessment package for such subspecialized consultations. Participants were a working group of 12 clinicians, researchers, administrators, and patient advocates from the National Network of Depression Centers (NNDC) TRD Task Group.

Associations between polygenic risk scores for cardiometabolic phenotypes and adolescent depression and body dissatisfaction.

Background: Adolescents with elevated body mass index (BMI) are at an increased risk for depression and body dissatisfaction. Type 2 diabetes (T2D) is an established risk factor for depression. However, shared genetic risk between cardiometabolic conditions and mental health outcomes remains understudied in youth.

Psychosis superspectrum I: Nosology, etiology, and lifespan development.

This review describes the Hierarchical Taxonomy of Psychopathology (HiTOP) model of psychosis-related psychopathology, the psychosis superspectrum. The HiTOP psychosis superspectrum was developed to address shortcomings of traditional diagnoses for psychotic disorders and related conditions including low reliability, arbitrary boundaries between psychopathology and normality, high symptom co-occurrence, and heterogeneity within diagnostic categories. The psychosis superspectrum is a transdiagnostic dimensional model comprising two spectra-psychoticism and detachment-which are in turn broken down into fourteen narrow components, and two auxiliary domains-cognition and functional impairment.