Examining Differences in the Genetic and Functional Architecture of Attention-Deficit/Hyperactivity Disorder Diagnosed in Childhood and Adulthood.

Background: Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder with diagnostic criteria requiring symptoms to begin in childhood. We investigated whether individuals diagnosed as children differ from those diagnosed in adulthood with respect to shared and unique architecture at the genome-wide and gene expression level of analysis. Methods: We used genomic structural equation modeling (SEM) to investigate differences in genetic correlations (rg) of childhood-diagnosed (ncases = 14,878) and adulthood-diagnosed (ncases = 6961) ADHD with 98 behavioral, psychiatric, cognitive, and health outcomes. We went on to apply transcriptome-wide SEM to identify functional annotations and patterns of gene expression associated with genetic risk sharing or divergence across the ADHD subgroups. Results: Compared with the childhood subgroup, adulthood-diagnosed ADHD exhibited a significantly larger negative rg with educational attainment, the noncognitive skills of educational attainment, and age at first sexual intercourse. We observed a larger positive rg for adulthood-diagnosed ADHD with major depression, suicidal ideation, and a latent internalizing factor. At the gene expression level, transcriptome-wide SEM analyses revealed 22 genes that were significantly associated with shared genetic risk across the subtypes that reflected a mixture of coding and noncoding genes and included 15 novel genes relative to the ADHD subgroups. Conclusions: This study demonstrated that ADHD diagnosed later in life shows much stronger genetic overlap with internalizing disorders and related traits. This may indicate the potential clinical relevance of distinguishing these subgroups or increased misdiagnosis for those diagnosed later in life. Top transcriptome-wide SEM results implicated genes related to neuronal function and clinical characteristics (e.g., sleep).

It is unclear whether individuals who are diagnosed with attention-deficit/hyperactivity disorder (ADHD) as children differ from those who are diagnosed in adulthood with respect to their genetic architecture. We found that adulthood-diagnosed ADHD is much more genetically similar than ADHD diagnosed in childhood to disorders in the internalizing space, such as depression and suicidality. Differences between the distinct age groups at diagnosis highlight the importance of distinguishing these subgroups in a clinical and treatment setting.

Consumer attitudes and preferences toward psychiatric genetic counselling and educational resources: A scoping review.

INTRODUCTION: The etiology of psychiatric disorders is multifactorial including genomic and environmental risk factors. Psychiatric genetic counseling is an emerging field that may promote processes of adaptation to, and the management of, psychiatric disorders. Many countries lack dedicated services leading to a gap in care. This scoping review will inform the development of psychiatric genetics-based educational resources. OBJECTIVES: To explore individuals with a psychiatric disorder and their relatives' attitudes and beliefs toward psychiatric genetics, genetic counseling, and genetics-based education. To evaluate how best to convey education to consumers. METHOD: Database literature searches occurred on May 2nd, 2023, using PubMed, Medline, and PsycINFO. Reviews, letters to the editor, case reports, and publications before 2003 were excluded. RESULTS: Twenty-four papers met the inclusion criteria. Results suggest individuals with a psychiatric disorder and their relatives tended to overestimate risk, and express concern about reproductive decision- making. Genetic counseling and educational resources were perceived to be useful and empowering. CONCLUSION: Affected individuals and relatives are interested in gaining greater insight into their own and/or their relative's psychiatric disorder, management strategies, and understanding familial risks. PRACTICE IMPLICATIONS: The evidence from this review may inform the development of genetics-based educational resources or guide future research.

Open Science Practices in Psychiatric Genetics: A Primer.

Open science ensures that research is transparently reported and freely accessible for all to assess and collaboratively build on. Psychiatric genetics has led among the health sciences in implementing some open science practices in common study designs, such as replication as part of genome-wide association studies. However, thorough open science implementation guidelines are limited and largely not specific to data, privacy, and research conduct challenges in psychiatric genetics. Here, we present a primer of open science practices, including selection of a research topic with patients/nonacademic collaborators, equitable authorship and citation practices, design of replicable, reproducible studies, preregistrations, open data, and privacy issues. We provide tips for informative figures and inclusive, precise reporting. We discuss considerations in working with nonacademic collaborators and distributing research through preprints, blogs, social media, and accessible lecture materials. Finally, we provide extra resources to support every step of the research process.

Ryssia Wolfsohn's 1907 dissertation on "the heredity of dementia praecox".

In the 19th century, psychiatric genetic studies typically utilized a generic category of "insanity." This began to change after 1899, with the publication of Kraepelin's 6th edition containing, among other disorders, his mature concept of dementia praecox (DP). We here review an article published by Ryssia Wolfsohn in 1907 from her dissertation at the University of Zurich entitled "Die Heredität bei Dementia praecox" (The Heredity of Dementia Praecox). This work, performed under the supervision of E. Bleuler, was to our knowledge the first formal genetic study of the then new diagnosis of DP. She investigated 550 DP probands admitted to the Burghölzli hospital with known information about their "heredity burden." For most probands, she had information on parents, siblings, grandparents, and aunts/uncles. Of these patients, only 10% had no psychiatric illness in their families. In the remaining probands, she found rates of the four major categories of psychopathology she investigated: mental illness-56%, nervous disorders-19%, peculiar personalities 12% and alcoholism 13%. Her most novel analyses compared either total familial burden or burden of her four forms of mental disorders on her DP probands divided by subtype and outcome. In neither of these analyses, did she find significant differences.

SETD1A variant-associated psychosis: A systematic review of the clinical literature and description of two new cases.

OBJECTIVE: SETD1A encodes a histone methyltransferase involved in various cell cycle regulatory processes. Loss-of-function SETD1A variants have been associated with numerous neurodevelopmental phenotypes, including intellectual disability and schizophrenia. While the association between rare coding variants in SETD1A and schizophrenia has achieved genome-wide significance by rare variant burden testing, only a few studies have described the psychiatric phenomenology of such individuals in detail. This systematic review and case report aims to characterize the neurodevelopmental and psychiatric phenotypes of SETD1A variant-associated schizophrenia. METHODS: A PubMed search was completed in July 2022 and updated in May 2023. Only studies that reported individuals with a SETD1A variant as well as a primary psychotic disorder were ultimately included. Additionally, another two previously unpublished cases of SETD1A variant-associated psychosis from our own sequencing cohort are described. RESULTS: The search yielded 32 articles. While 15 articles met inclusion criteria, only five provided case descriptions. In total, phenotypic information was available for 11 individuals, in addition to our own two unpublished cases. Our findings suggest that although individuals with SETD1A variant-associated schizophrenia may share a number of common features, phenotypic variability nonetheless exists. Moreover, although such individuals may exhibit numerous other neurodevelopmental features suggestive of the syndrome, their psychiatric presentations appear to be similar to those of general schizophrenia populations. CONCLUSIONS: Loss-of-function SETD1A variants may underlie the development of psychosis in a small percentage of individuals with schizophrenia. Identifying such individuals may become increasingly important, given the potential for advances in precision medicine treatment approaches.

ARFID Genes and Environment (ARFID-GEN): study protocol.

BACKGROUND: The Avoidant Restrictive Food Intake Disorder - Genes and Environment (ARFID-GEN) study is a study of genetic and environmental factors that contribute to risk for developing ARFID in children and adults. METHODS: A total of 3,000 children and adults with ARFID from the United States will be included. Parents/guardians and their children with ARFID (ages 7 to 17) and adults with ARFID (ages 18 +) will complete comprehensive online consent, parent verification of child assent (when applicable), and phenotyping. Enrolled participants with ARFID will submit a saliva sample for genotyping. A genome-wide association study of ARFID will be conducted. DISCUSSION: ARFID-GEN, a large-scale genetic study of ARFID, is designed to rapidly advance the study of the genetics of eating disorders. We will explicate the genetic architecture of ARFID relative to other eating disorders and to other psychiatric, neurodevelopmental, and metabolic disorders and traits. Our goal is for ARFID to deliver "actionable" findings that can be transformed into clinically meaningful insights. TRIAL REGISTRATION: ARFID-GEN is a registered clinical trial: clinicaltrials.gov NCT05605067.

Arfid Genes and Environment (ARFID-GEN): Study Protocol.

Background: The Avoidant Restrictive Food Intake Disorder Genes and Environment (ARFID-GEN) study is a study of genetic and environmental factors that contribute to risk for developing ARFID in children and adults. Methods: A total of 3,000 children and adults with ARFID from the United States will be included. Parents/guardians and their children with ARFID (ages 7 to 17) and adults with ARFID (ages 18+) will complete comprehensive online consent, parent verification of child assent (when applicable), and phenotyping. Enrolled participants with ARFID will submit a saliva sample for genotyping. A genome-wide association study of ARFID will be conducted. Discussion: ARFID-GEN, a large-scale genetic study of ARFID, is designed to rapidly advance the study of the genetics of eating disorders. We will explicate the genetic architecture of ARFID relative to other eating disorders and to other psychiatric, neurodevelopmental, and metabolic disorders and traits. Our goal is for ARFID to deliver "actionable" findings that can be transformed into clinically meaningful insights. Trial registration: ARFID-GEN is a registered clinical trial: clinicaltrials.gov NCT05605067.

The United Kingdom Eating Disorders Genetics Initiative.

OBJECTIVE: The United Kingdom Eating Disorders Genetics Initiative (EDGI UK), part of the National Institute for Health and Care Research (NIHR) Mental Health BioResource, aims to deepen our understanding of the environmental and genetic etiology of eating disorders. EDGI UK launched in February 2020 and is partnered with the UK eating disorders charity, Beat. Multiple EDGI branches exist worldwide. This article serves the dual function of providing an in-depth description of our study protocol and of describing our initial sample including demographics, diagnoses, and physical and psychiatric comorbidities. METHOD: EDGI UK recruits via media and clinical services. Anyone living in England, at least 16 years old, with a lifetime probable or clinical eating disorder is eligible to sign up online: edgiuk.org. Participants complete online questionnaires, donate a saliva sample for genetic analysis, and consent to medical record linkage and recontact for future studies. RESULTS: As of September 2022, EDGI UK recruited 7435 survey participants: 98% female, 93.1% white, 97.8% cisgender, 65.9% heterosexual, and 52.1% have a university degree. Over half (57.8%) of these participants have returned their saliva DNA kit. The most common diagnoses are anorexia nervosa (48.3%), purging disorder (37.8%), bulimia nervosa (37.5%), binge-eating disorder (15.8%), and atypical anorexia nervosa (7.8%). CONCLUSION: EDGI UK is the largest UK eating disorders study and efforts to increase its diversity are underway. It offers a unique opportunity to accelerate eating disorder research. Researchers and participants with lived experience can collaborate on projects with unparalleled sample size. PUBLIC SIGNIFICANCE STATEMENT: Eating disorders are debilitating and costly for society but are under-researched due to underfunding. EDGI UK is one of the largest eating disorder studies worldwide with ongoing recruitment. The collected data constitute a resource for secondary analysis. We will combine data from all international EDGI branches and the NIHR BioResource to facilitate research that improves our understanding of eating disorders and their comorbidities.

Specificity of Psychiatric Polygenic Risk Scores and Their Effects on Associated Risk Phenotypes.

Background: Polygenic risk scores (PRSs) are indices of genetic liability for illness, but their clinical utility for predicting risk for a specific psychiatric disorder is limited. Genetic overlap among disorders and their effects on allied phenotypes may be a possible explanation, but this has been difficult to quantify given focus on singular disorders and/or allied phenotypes. Methods: We constructed PRSs for 5 psychiatric disorders (schizophrenia, bipolar disorder, major depressive disorder, autism spectrum disorder, attention-deficit/hyperactivity disorder) and 3 nonpsychiatric control traits (height, type II diabetes, irritable bowel disease) in the UK Biobank (N = 31,616) and quantified associations between PRSs and phenotypes allied with mental illness: behavioral (symptoms, cognition, trauma) and brain measures from magnetic resonance imaging. We then evaluated the extent of specificity among PRSs and their effects on these allied phenotypes. Results: Correlations among psychiatric PRSs replicated previous work, with overlap between schizophrenia and bipolar disorder, which was distinct from overlap between autism spectrum disorder and attention-deficit/hyperactivity disorder; overlap between psychiatric and control PRSs was minimal. There was, however, substantial overlap of PRS effects on allied phenotypes among psychiatric disorders and among psychiatric disorders and control traits, where the extent and pattern of overlap was phenotype specific. Conclusions: Results show that genetic distinctions between psychiatric disorders and between psychiatric disorders and control traits exist, but this does not extend to their effects on allied phenotypes. Although overlap can be informative, work is needed to construct PRSs that will function at the level of specificity needed for clinical application.

New directions in psychiatric drug development: promising therapeutics in the pipeline.

INTRODUCTION: Psychiatric disorders are a leading cause of disability worldwide, calling for an urgent need for new treatments, early detection, early intervention, and precision medicine. Drug discovery and development in psychiatry continues to expand in new and exciting areas, with several new medications approved for psychiatric indications by the U.S. Food and Drug Administration (FDA) in the last 5 years. AREAS COVERED: In this review, the authors summarize recent new drug approvals and new molecular mechanisms in Phase 1-3 clinical development for psychiatric disorders. Advances in human genetics-driven target identification, emergent technologies such as artificial intelligence-enabled drug discovery, digital health technologies, and biomarker tools and strategies for testing novel mechanisms are highlighted. EXPERT OPINION: There continues to be a need for research focused on understanding the natural history, developmental trajectory, and pathophysiology of psychiatric disorders to identify new molecular and circuit-based targets. Looking to the future, a vision of precision psychiatry is emerging, taking advantage of advances in genetics, digital technology, and multimodal biomarkers to accelerate the development of next-generation therapies for individuals living with mental illnesses.

Polygenic overlap with body-mass index improves prediction of treatment-resistant schizophrenia.

Treatment resistant schizophrenia (TRS) is characterized by repeated treatment failure with antipsychotics. A recent genome-wide association study (GWAS) of TRS showed a polygenic architecture, but no significant loci were identified. Clozapine is shown to be the superior drug in terms of clinical effect in TRS; at the same time it has a serious side effect profile, including weight gain. Here, we sought to increase power for genetic discovery and improve polygenic prediction of TRS, by leveraging genetic overlap with Body Mass Index (BMI). We analysed GWAS summary statistics for TRS and BMI applying the conditional false discovery rate (cFDR) framework. We observed cross-trait polygenic enrichment for TRS conditioned on associations with BMI. Leveraging this cross-trait enrichment, we identified 2 novel loci for TRS at cFDR <0.01, suggesting a role of MAP2K1 and ZDBF2. Further, polygenic prediction based on the cFDR analysis explained more variance in TRS when compared to the standard TRS GWAS. These findings highlight putative molecular pathways which may distinguish TRS patients from treatment responsive patients. Moreover, these findings confirm that shared genetic mechanisms influence both TRS and BMI and provide new insights into the biological underpinnings of metabolic dysfunction and antipsychotic treatment.

Applications of Polygenic Risk Scores in Psychiatric Genetics.

Polygenic risk score (PRS) is a powerful tool for studying the genetic architecture of complex diseases, including psychiatric disorders. This review highlights the use of PRS in psychiatric genetics, including its application in identifying high-risk individuals, estimating heritability, assessing shared etiology between phenotypes, and personalizing treatment plans. It also explains the methodology for calculating PRS, the challenges associated with their use in clinical settings, and future research directions. The main limitation of PRS is that the current models only account for a small fraction of the heritability of psychiatric disorders. Despite this limitation, PRS represents a valuable tool that has already yielded important insights into the genetic architecture of psychiatric disorders.

Study protocol of the Berlin Research Initiative for Diagnostics, Genetics and Environmental Factors in Schizophrenia (BRIDGE-S).

BACKGROUND: Large-scale collaborative efforts in the field of psychiatric genetics have made substantial progress in unraveling the biological architecture of schizophrenia (SCZ). Although both genetic and environmental factors are known to play a role in schizophrenia etiology our mechanistic understanding of how they shape risk, resilience and disease trajectories remains limited. METHODS: Here, we present the study protocol of the Berlin Research Initiative for Diagnostics, Genetic and Environmental Factors of Schizophrenia (BRIDGE-S), which aims to collect a densely phenotyped genetic cohort of 1,000 schizophrenia cases and 1,000 controls. The study's main objectives are to build a resource for i) promoting genetic discoveries and ii) genotype-phenotype associations to infer specific disease subtypes, and iii) exploring gene-environment interactions using polyrisk models. All subjects provide a biological sample for genotyping and complete a core questionnaire capturing a variety of environmental exposures, demographic, psychological and health data. Approximately 50% of individuals in the sample will further undergo a comprehensive clinical and neurocognitive assessment. DISCUSSION: With BRIDGE-S we created a valuable database to study genomic and environmental contributions to schizophrenia risk, onset, and outcomes. Results of the BRIDGE-S study could yield insights into the etiological mechanisms of schizophrenia that could ultimately inform risk prediction, and early intervention and treatment strategies.

Examining the shared etiology of psychopathology with genome-wide association studies.

Genome-wide association studies (GWASs) have ushered in a new era of reproducible discovery in psychiatric genetics. The field has now identified hundreds of common genetic variants that are associated with mental disorders, and many of them influence more than one disorder. By advancing the understanding of causal biology underlying psychopathology, GWAS results are poised to inform the development of novel therapeutics, stratification of at-risk patients, and perhaps even the revision of top-down classification systems in psychiatry. Here, we provide a concise review of GWAS findings with an emphasis on findings that have elucidated the shared genetic etiology of psychopathology, summarizing insights at three levels of analysis: 1) genome-wide architecture; 2) networks, pathways, and gene sets; and 3) individual variants/genes. Three themes emerge from these efforts. First, all psychiatric phenotypes are heritable, highly polygenic, and influenced by many pleiotropic variants with incomplete penetrance. Second, GWAS results highlight the broad etiological roles of neuronal biology, system-wide effects over localized effects, and early neurodevelopment as a critical period. Third, many loci that are robustly associated with multiple forms of psychopathology harbor genes that are involved in synaptic structure and function. Finally, we conclude our review by discussing the implications that GWAS results hold for the field of psychiatry, as well as expected challenges and future directions in the next stage of psychiatric genetics.

Psychopathology in adults with copy number variants.

BACKGROUND: Copy number variants (CNVs) have been associated with the risk of schizophrenia, autism and intellectual disability. However, little is known about their spectrum of psychopathology in adulthood. METHODS: We investigated the psychiatric phenotypes of adult CNV carriers and compared probands, who were ascertained through clinical genetics services, with carriers who were not. One hundred twenty-four adult participants (age 18-76), each bearing one of 15 rare CNVs, were recruited through a variety of sources including clinical genetics services, charities for carriers of genetic variants, and online advertising. A battery of psychiatric assessments was used to determine psychopathology. RESULTS: The frequencies of psychopathology were consistently higher for the CNV group compared to general population rates. We found particularly high rates of neurodevelopmental disorders (NDDs) (48%), mood disorders (42%), anxiety disorders (47%) and personality disorders (73%) as well as high rates of psychiatric multimorbidity (median number of diagnoses: 2 in non-probands, 3 in probands). NDDs [odds ratio (OR) = 4.67, 95% confidence interval (CI) 1.32-16.51; p = 0.017) and psychotic disorders (OR = 6.8, 95% CI 1.3-36.3; p = 0.025) occurred significantly more frequently in probands (N = 45; NDD: 39[87%]; psychosis: 8[18%]) than non-probands (N = 79; NDD: 20 [25%]; psychosis: 3[4%]). Participants also had somatic diagnoses pertaining to all organ systems, particularly conotruncal cardiac malformations (in individuals with 22q11.2 deletion syndrome specifically), musculoskeletal, immunological, and endocrine diseases. CONCLUSIONS: Adult CNV carriers had a markedly increased rate of anxiety and personality disorders not previously reported and high rates of psychiatric multimorbidity. Our findings support in-depth psychiatric and medical assessments of carriers of CNVs and the establishment of multidisciplinary clinical services.

Comparison of Demographic and Clinical Features of Bipolar Disorder in Persons of African and European Ancestry.

AIM: This study quantified and compared demographic and clinical features of bipolar disorder (BD) in persons of African ancestry (AA) and European ancestry (EUR). METHODS: Participants enrolled in the Mayo Clinic Bipolar Biobank from 2009 to 2015. The structured clinical interview for DSM-IV was used to confirm the diagnosis of BD, and a questionnaire was developed to collect data on the clinical course of illness. Descriptive statistics and bivariate analyses were completed to compare AA versus EUR participants. Subsequently, clinical outcomes were compared between AA and EUR participants using linear regression for continuous outcomes or logistic regression for binary outcomes while controlling for differences in age, sex, and recruitment site. RESULTS: Of 1865 participants enrolled in the bipolar biobank, 65 (3.5%) self-identified as AA. The clinical phenotype for AA participants, in comparison to EUR participants, was more likely to include a history of PTSD (39.7% vs. 26.2%), cocaine use disorder (24.2% vs. 11.9%), and tardive dyskinesia (7.1% vs. 3%). CONCLUSION: The low rate of AA enrollment is consistent with other genetic studies. While clinical features of bipolar disorder are largely similar, this study identified differences in rates of trauma, substance use, and tardive dyskinesia that may represent health disparities in bipolar patients of African ancestry. Future bipolar biomarker studies with larger sample sizes focused on underrepresented populations will provide greater ancestry diversity in genomic medicine with greater applicability to diverse patient populations, serving to inform health care policies to address disparities in bipolar disorder.

Karl Grassmann's 1896 paper "critical overview of contemporary theories of the heredity of the psychoses".

Four years before the rediscovery of Mendel's work in 1900, Karl Grassmann published a detailed, scholarly review of the heredity of psychosis which we here review. A full translation is in the appendix. We emphasize seven major conclusions from this review. First, while recognizing the key importance of heredity in the etiology of psychosis. Grassmann was critical of many of the highly speculative extant theories. Second, he reviewed most of the major methodologic concerns in the literature from what kinds of heredity to investigate to the problems with the global use of insanity as a diagnostic category. Third, he discussed in detail genetic theories associated with Degeneration theory, maintaining considerable skepticism. Fourth, he recognized nongenetic contribution to familial transmission. Fifth, he reviewed evidence for both homogeneous and heterogeneous transmission of forms of mental illness in families, suggesting that both were important. Sixth, while he noted that mania, melancholia, and cyclothymia commonly replaced each other in families, Verrücktheit (delusional psychoses) rarely co-segregated in families with these mood disorders. Seventh, Grassmann, like other 19th century writers, saw relatives to be of value only in assessing the level of hereditary predisposition in patients and had limited appreciation of the need for controlled studies.

Psychiatric genetic counseling: A survey of Australian genetic counselors' practice and attitudes.

Genetic counseling plays a critical role in supporting individuals and their families' adaption to psychiatric conditions, addressing the multifactorial nature of these conditions in a personally meaningful and empowering way. Yet data related to the practice and attitudes of Australian genetic counselors about psychiatric genetic counseling (PGC) is limited. This survey investigated the practice of Australian genetic counselors, and their attitudes toward PGC. Genetic counselors (N = 393) were invited to participate in an anonymous online survey between March and May 2022. Forty-four genetic counselors (response rate = 11%) from Australia and New Zealand responded. No respondents practice in psychiatric genetics as their speciality area; most respondents do not see any patients where the primary indication is a personal and/or family history of psychiatric disorders (91%). Greater than half of respondents (56%) believed there was sufficient evidence to support PGC, and 64% enquire about personal and/or family history of psychiatric disorders, but only 25% provide genetic counseling on this topic. Most respondents do not feel confident providing risk assessments for psychiatric disorders (72%), while the majority expressed interest in attending specialist training (95%), and in incorporating PGC into future practice (77%). Australian genetic counselors would benefit from psychiatric genetic education and training, and establishment of specialized PGC services would address this gap in patient care, while providing opportunities for genetic counselors to gain skills and experience in PGC.