2500 vibronic eigenstates of the NO3 radical.

The nitrate radical NO3 plays an important role in atmospheric chemistry, yet many aspects of its coupled and anharmonic vibronic structure remain elusive. Here, using an accurate, coupled full-dimensional diabatic potential that includes five electronic states, we revisit the vibronic spectrum associated with the electronic state. Using recently developed tensor network state methods, we are able to compute more than 2500 vibronic states, thereby increasing the number of computed full-dimensional states by a factor of 50, compared to previous work. While we obtain good agreement with experiment for most of the assigned vibronic levels, for several others, we observe striking disagreement. Further, for the antisymmetric bending motion we find remarkably large symmetry-induced level splittings that are larger than the zero-order reference. We discuss non-negligible nonadiabatic effects and show that the Born-Oppenheimer approximation leads to significant errors in the spectrum.

Risk of relationship separation in men with Peyronie's disease in a matched Swedish cohort.

Peyronie's disease (PD) has detrimental effects on the quality of life, mental health, sexual functioning and several other aspects that increase the risk of relationship problems. However, no study to date has assessed the risk of relationship separation in med with PD. Herein, we utilized data from Swedish national registers to examine the risk of relationship separation in men with PD. We conducted a matched cohort study on men born 1933-1992, followed from 1997 to 2013. PD was defined as a physician-assigned diagnosis according to the International Classification of Diseases, Tenth version. Each man with PD (n = 8020) was matched with 10 comparison men. We defined relationship separation as (1) ever separated, and (2) separation rate. We used log-linear regression to estimate the risk ratio, and rate ratio of relationship separation. We adjusted for matching variables (birth year and country of birth), and an indicator of each follow-up year. We found that men with PD had a 13% increased risk of relationship separation (risk ratio 1.13, 95% confidence interval [CI] 1.08-1.17). The rate of relationship separation events, measured on a yearly basis, was increased by 18% (rate ratio 1.18, CI 1.12-1.24), and remained similar when adjusting for follow-up year and socio-economic status.

Risk factors, prevention and treatment of weight gain associated with the use of antidepressants and antipsychotics: a state-of-the-art clinical review.

INTRODUCTION: People with severe mental illness have poor cardiometabolic health. Commonly used antidepressants and antipsychotics frequently lead to weight gain, which may further contribute to adverse cardiovascular outcomes. AREAS COVERED: We searched MEDLINE up to April 2023 for umbrella reviews, (network-)meta-analyses, trials and cohort studies on risk factors, prevention and treatment strategies of weight gain associated with antidepressants/antipsychotics. We developed 10 clinical recommendations. EXPERT OPINION: To prevent, manage, and treat antidepressant/antipsychotic-related weight gain, we recommend i) assessing risk factors for obesity before treatment, ii) monitoring metabolic health at baseline and regularly during follow-up, iii) offering lifestyle interventions including regular exercise and healthy diet based on patient preference to optimize motivation, iv) considering first-line psychotherapy for mild-moderate depression and anxiety disorders, v)choosing medications based on medications' and patient's weight gain risk, vi) choosing medications based on acute vs long-term treatment, vii) using effective, tolerated medications, viii) switching to less weight-inducing antipsychotics/antidepressants where possible, ix) using early weight gain as a predictor of further weight gain to inform the timing of intervention/switch options, and x) considering adding metformin or glucagon-like peptide-1 receptor agonists, or topiramate(second-line due to potential adverse cognitive effects) to antipsychotics, or aripiprazole to clozapine or olanzapine.

Trends in Body Mass Index Among Individuals With Neurodevelopmental Disorders.

Importance: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) are increasingly common. Individuals with NDDs have heightened obesity risks, but long-term data on body mass index (BMI) trends over time in this population are lacking. Objective: To assess secular BMI changes from 2004 to 2020 among children with NDDs compared with those without NDDs. Design, Setting, and Participants: This repeated cross-sectional study used data from the Child and Adolescent Twin Study in Sweden. Children born between January 1, 1992, and December 31, 2010, were screened for neurodevelopmental symptoms using the Autism-Tics, ADHD, and Other Comorbidities inventory between July 2004 and April 2020 when they were 9 or 12 years of age. Data analysis was conducted between September 27, 2023, and January 30, 2024. Main Outcomes and Measures: BMI percentiles (15th, 50th, and 85th) were modeled using quantile regression and compared between youths with and without NDDs. Secular changes in BMI percentiles over time spanning 2004 to 2020 were evaluated and stratified by NDD subtype. Results: The cohort included 24 969 Swedish twins (12 681 [51%] boys) born between 1992 and 2010, with mean (SD) age of 9 (0.6) years. Of these, 1103 (4%) screened positive for 1 or more NDDs, including ADHD, ASD, and/or learning disability. Results indicated that at the 85th BMI percentile, there was a greater increase in BMI from 2004 to 2020 among youths with NDDs compared with those without NDDs (ß for interaction [ßint] between NDD status and time, 1.67; 95% CI, 0.39-2.90). The greatest divergence was seen for ASD (ßint, 2.12; 95% CI, 1.26-3.70) and learning disability (ßint, 1.92; 95% CI, 0.65-3.82). Within the latest cohort (2016-2020), the 85th BMI percentile was 1.99 (95% CI, 1.08-2.89) points higher among children with NDDs compared with those without NDDs. Conclusions and Relevance: In this repeated cross-sectional study, at the higher end of the BMI distribution, children with NDDs had significantly greater increases in BMI compared with peers without NDDs over a 16-year period, highlighting an increasing risk of overweight over time in youths with NDDs compared with those without NDDs. Targeted obesity prevention efforts for this high-risk population are needed.

Cumulative ADHD medication use and risk of type 2 diabetes in adults: a Swedish Register study.

BACKGROUND: Little is known about the impact of cumulative attention-deficit/hyperactivity disorder (ADHD) medication use on the risk of type 2 diabetes (T2D). OBJECTIVE: The objective is to examine the association between cumulative use of ADHD medication and risk of incident T2D. METHODS: A nested case-control study was conducted in a national cohort of individuals aged 18-70 years with incident ADHD (n=138 778) between 2007 and 2020 through Swedish registers. Individuals with incident T2D after ADHD were selected as cases (n=2355) and matched with up to five controls (n=11 681) on age at baseline, sex and birth year. Conditional logistic regression models examined the association between cumulative duration of ADHD medication use and T2D. FINDINGS: Compared with no use, a decreased risk of T2D was observed for those on cumulative use of ADHD medications up to 3 years (ORs: 03 years, 0.97 (95% CI, 0.84 to 1.12)). When investigating medication types separately, methylphenidate showed results similar to main analyses, lisdexamfetamine showed no association with T2D, whereas long-term (>3 years) use of atomoxetine was associated with an increased risk of T2D (OR: 1.44 (95% CI, 1.01 to 2.04)). CONCLUSION: Cumulative use of ADHD medication does not increase the risk for T2D, with the exception of long-term use of atomoxetine. CLINICAL IMPLICATIONS: Findings suggest that clinicians should be aware of the potential risk of T2D associated with the cumulative use of atomoxetine among patients with ADHD; however, further replication is strongly needed.

Vascular disease and risk of fall-related injuries in Parkinson's disease: A nationwide cohort study in Sweden.

INTRODUCTION: Parkinson's disease (PD) patients are prone to fall and fall-related injuries (FI). Vascular disease is common in PD and is positively associated with falls in elderly. We aimed to evaluate the association of vascular disease with FI risk in PD. METHODS: A nationwide cohort study of patients with primary PD diagnosis in Sweden was performed using Swedish national registers. Patients with and without vascular disease were followed from PD diagnosis until subsequent FI or 2013-12-31. The association of vascular disease with FI risk was estimated as hazard ratio (HR) and 95 % confidence interval (CI) by Cox regression using attained age as underlying timescale. RESULTS: We identified 2734 and 6979 incident FI from 8025 PD patients with and 20,543 without vascular disease, respectively. Overall, vascular disease associated positively with subsequent FI, which was mainly driven by the significant risk elevation within the first 6 months following vascular disease (HR < 0.5year [95 % CI] for PD diagnosed ≤75 years is 1.61 [1.39-1.87] and for PD diagnosed >75 years is 1.48 [1.32-1.65]). Thereafter, the association attenuated to null before it rebounded five years after exposure in PD diagnosed ≤75 years (HR > 5year = 1.26, 95 % CI: 1.10-1.45); whereas for PD diagnosed >75 years, it dropped remarkably and remained non-significant 6 months after exposure. When vascular disease was restricted to stroke, we saw a similar temporal pattern except that the short-term HRs among younger patients were stronger, lasted longer, and declined continuously without rebound. CONCLUSIONS: Fall prevention is crucial to PD patients immediately after a vascular event.

Changes in Sex Related Mortality after Revascularisation for Chronic Limb Threatening Ischaemia: A National Observational Study 1994 - 2018.

OBJECTIVE: The aim of this study was compare all cause mortality across three time periods with a focus on sex differences after revascularisation for chronic limb threatening ischaemia between 1994 and 2013 in Sweden. METHODS: In this observational registry study, patients registered in the Swedish vascular registry (Swedvasc), revascularised between 1994 and 2013 with open or endovascular infra-inguinal procedures, were divided into three time periods: 1994 - 1999, 2000 - 2006, and 2007 - 2013. Patients were followed for five years. Poisson regression was used to compare 30 day mortality, presented as adjusted relative risk ratio (aRR). Adjusted restricted mean survival time (aRMST) differences at five years were compared with a generalised linear model. The analyses were adjusted for age, comorbidities, and endovascular or open surgery. Comparison with the general Swedish population was also conducted with age adjusted standardised mortality ratios. Results are presented with the 95% confidence intervals (CI). RESULTS: The study showed increasing 30 day mortality, with an aRR of 1.47 (95% CI 1.31 - 1.65) for women and aRR of 1.20 (95% CI 1.06 - 1.35) for men, per time period. In women, the five year RMST decreased from the first to the third period, with an aRMST of -45 (95% CI -59 - -32) days per period. In men, the aRMST increased 32 (95% CI 18 - 47) days per period. When comparing sexes, women showed lower 30 day mortality and higher five year survival than men in the first time period, but a significantly worse development over time periods than for men. Corresponding findings were observed in comparison with the general Swedish population. CONCLUSION: This study showed an increased 30 day mortality in women and men across the periods, most evident in women. Men showed an increased five year survival across the periods, whereas opposite findings were recorded for women. The dismal trend over time for women could not be explained by increased age or a higher prevalence of comorbidities.

A population-based multigenerational family co-aggregation study of severe infections and obsessive-compulsive disorder.

BACKGROUND: Postinfectious autoimmune processes have been proposed as potential causal factors for obsessive-compulsive disorder (OCD). This large population-based study aimed to clarify the co-aggregation pattern between severe infections and OCD across clusters of relatives with varying degrees of relatedness. METHODS: We identified 4,916,898 individuals born in Sweden between 1960 and 2008 and followed them until 2020. Each individual was linked to their first- and second-degree relatives, including monozygotic (MZ) and dizygotic (DZ) twins, mothers, fathers, full siblings, maternal and paternal half siblings, aunts, uncles, and cousins. OCD and infection diagnoses from inpatient and specialized outpatient units were retrieved from the Swedish National Patient Register. We compared the risk of OCD in relatives of probands with severe infections to those of probands without severe infections. Cox proportional hazard regression models, incorporating time-varying exposures, were used to estimate hazard ratios (HRs). Dose-response associations were examined using logistic regression models. RESULTS: Relatives of probands with severe infections exhibited a higher risk of OCD, increasing with genetic relatedness, with HRs (95% CI) ranging from 1.46 (1.07-1.98) in MZ twins to 1.10 (1.09-1.11) in cousins. The results remained robust after adjusting for severe infections among relatives, OCD in probands, and comorbid autoimmune disorders in both probands and relatives. A dose-response association was observed between the number of infections in the probands and their odds of OCD, as well as in their relatives. CONCLUSIONS: The results strongly suggest that the association between severe infections and OCD may be largely driven by shared genetic factors.

Increased risk of cardiac arrhythmia in Hailey-Hailey disease patients.

BACKGROUND: Hailey-Hailey disease (HHD) is a rare autosomal dominant skin disease caused by mutations in the ATP2C1 gene, which encodes the secretory Ca2+/Mn2+-ATPase (SPCA1) pump in the Golgi apparatus. Although ATP2C1 is ubiquitously expressed in the body, possible extracutaneous manifestations of HHD are unknown. However, dysfunction of the Golgi apparatus not specifically coupled to ATP2C1 has been associated with heart disease. OBJECTIVE: To investigate the association between HHD and common heart disease in a Swedish, population-based cohort. METHODS: We conducted a population-based cohort study based on a linkage of Swedish nationwide registers to investigate the relationship between HHD and heart disease. We have been granted ethical approval from the Swedish Ethical Review Authority to conduct this study. The patients in this manuscript have given written informed consent to the publication of their case details. A total of 342 individuals with an ICD-10 diagnosis of HHD (Q82.8E) were identified and matched with randomly selected comparison individuals without HHD on a 1:100 ratio. Furthermore, in a separate clinical cohort we matched 23 HHD patients for age, sex, and BMI with control subjects to examine electrocardiogram parameters, electrolytes, and cardiovascular biomarkers. RESULTS: Compared with individuals without HHD, individuals with HHD had an excess risk of arrhythmia (RR 1.4, CI 1.0-2.0), whereas no increased risks of myocardial infarction (RR 1.1, CI 0.6-1.7) or heart failure (RR 1.0, CI 0.6-1.6; Table 1) were found. We found no difference in ECG parameters, cardiovascular biomarkers, and electrolytes in the clinical subset. CONCLUSION: This study reveals that HHD is associated with an increased risk of arrhythmia and represents the first data of any extracutaneous comorbidity in HHD. Thus, HHD may be a systemic disease. Our findings also shed light on the importance of the Golgi apparatus' Ca2+/Mn2+ homeostasis in common heart disease.

Effects of antipsychotic treatment on cardio-cerebrovascular related mortality in schizophrenia: A subanalysis of a systematic review and meta-analysis with meta-regression of moderators.

To further explore the role of different antipsychotic treatments for cardio-cerebrovascular mortality, we performed several subgroup, sensitivity and meta-regression analyses based on a large previous meta-analysis focusing on cohort studies assessing mortality relative risk (RR) for cardio-cerebrovascular disorders in people with schizophrenia, comparing antipsychotic treatment versus no antipsychotic. Quality assessment through the Newcastle-Ottawa Scale (NOS) and publication bias was measured. We meta-analyzed 53 different studies (schizophrenia patients: n = 2,513,359; controls: n = 360,504,484) to highlight the differential effects of antipsychotic treatment regimens on cardio-cerebrovascular-related mortality in incident and prevalent samples of patients with schizophrenia. We found first generation antipsychotics (FGA) to be associated with higher mortality in incident samples of schizophrenia (oral FGA [RR=2.20, 95 %CI=1.29-3.77, k = 1] and any FGA [RR=1.70, 95 %CI=1.20-2.41, k = 1]). Conversely, second generation antipsychotics (SGAs) and clozapine were associated with reduced cardio-cerebrovascular-related mortality, in prevalent samples of schizophrenia. Subgroup analyses with NOS score ≥7 (higher quality) demonstrated a significantly increased cardio-cerebrovascular disorder-related mortality, among those exposed to FGAs vs SGAs. Meta-regression analyses demonstrated a larger association between antipsychotics and decreased risk of mortality with longer follow-up, recent study year, and higher number of adjustment variables. Overall, this subanalysis of a systematic review contributes to the evolving understanding of the complex role of antipsychotic treatment for cardio-cerebrovascular mortality in schizophrenia, paving the way for more targeted interventions and improved patient outcomes.

Psychiatric Diagnoses in Parents and Psychiatric, Behavioral, and Psychosocial Outcomes in Their Offspring: A Swedish Population-Based Register Study.

OBJECTIVE: Associations were examined between six psychiatric diagnoses in parents and a broad range of psychiatric and nonpsychiatric outcomes in their offspring. METHODS: All individuals born in Sweden between 1970 and 2000 were linked to their biological parents (N=3,286,293) through Swedish national registers. A matched cohort design, with stratified Cox regression and conditional logistic regression analyses, was used examine associations between six psychiatric diagnoses in the parents and 32 outcomes in their offspring. All children, including those exposed and those not exposed to parents with psychiatric diagnoses, were followed from their date of birth to the date of emigration from Sweden, death, or December 31, 2013, when the offspring were 14-44 years old. RESULTS: In terms of absolute risk, most children who had parents with psychiatric diagnoses were not diagnosed in specialist care themselves, and the proportion of offspring having any of the 16 types of psychiatric conditions ranged from 22.17% (of offspring exposed to parental depression) to 25.05% (of offspring exposed to parental drug-related disorder) at the end of follow-up. Nevertheless, in terms of relative risk, exposure to any of the six parental psychiatric diagnoses increased probabilities of the 32 outcomes among the offspring, with hazard ratios that ranged from 1.03 to 8.46 for time-to-event outcomes and odds ratios that ranged from 1.29 to 3.36 for binary outcomes. Some specificities were observed for parental diagnoses of psychosis and substance-related disorders, which more strongly predicted psychotic-like and externalizing-related outcomes, respectively, in the offspring. CONCLUSIONS: The intergenerational transmission of parental psychiatric conditions appeared largely transdiagnostic and extended to nonpsychiatric outcomes in offspring. Given the broad spectrum of associations with the outcomes, service providers (e.g., psychiatrists, teachers, and social workers) should consider clients' broader psychiatric family history when predicting prognosis and planning interventions or treatment.

Automated Quantitative Image-Derived Input Function for the Estimation of Cerebral Blood Flow Using Oxygen-15-Labelled Water on a Long-Axial Field-of-View PET/CT Scanner.

The accurate estimation of the tracer arterial blood concentration is crucial for reliable quantitative kinetic analysis in PET. In the current work, we demonstrate the automatic extraction of an image-derived input function (IDIF) from a CT AI-based aorta segmentation subsequently resliced to a dynamic PET series acquired on a Siemens Vision Quadra long-axial field of view scanner in 10 human subjects scanned with [15O]H2O. We demonstrate that the extracted IDIF is quantitative and in excellent agreement with a delay- and dispersion-corrected sampled arterial input function (AIF). Perfusion maps in the brain are calculated and compared from the IDIF and AIF, respectively, showed a high degree of correlation. The results demonstrate the possibility of defining a quantitatively correct IDIF compared with AIFs from the new-generation high-sensitivity and high-time-resolution long-axial field-of-view PET/CT scanners.

Substance use-related problems in mild intellectual disability: A Swedish nationwide population-based cohort study with sibling comparison.

Background: Evidence for substance use-related problems in individuals with mild intellectual disability is sparse and mainly limited to selected psychiatric populations. We evaluated the risk of substance use-related problems in individuals with mild intellectual disability compared to the general population. Additionally, we have performed secondary sibling comparison analyses to account for familial confounding. Methods: We conducted a population-based cohort study of individuals born in Sweden between 1973 and 2003. A total of 18,307 individuals with mild intellectual disability were compared to 915,350 reference individuals from the general population and 18,996 full siblings of individuals with mild intellectual disability. Information on mild intellectual disability and substance use-related problems was obtained from several Swedish national and regional school and healthcare registers. Substance use-related problems were measured via corresponding diagnostic and legal codes and included alcohol use disorder, drug use disorder, alcohol-related somatic disease, conviction for a substance-related crime, and substance-related death. Results: Individuals with mild intellectual disability had a higher risk of any substance use-related problem compared to the general population (HR, 1.81; 95% CI, 1.72-1.91), both in males (HR, 1.76; 95% CI, 1.65-1.89) and females (HR, 1.89; 95% CI, 1.74-2.05). The risks of substance use-related problems were particularly elevated among individuals with mild intellectual disability and psychiatric comorbidities (HR, 2.21-8.24). The associations were attenuated in the sibling comparison models. Conclusions: Individuals with mild intellectual disability, especially those with psychiatric comorbidity, are at an elevated risk of substance use-related problems. Familial factors shared by full siblings contribute considerably to the association between mild intellectual disability and substance use-related problems.

Neurodevelopmental and psychiatric conditions in 600 Swedish Children with the ARFID phenotype.

Objective: Avoidant restrictive food intake disorder (ARFID) is a feeding and eating disorder characterized by extremely restricted dietary variety and/or quantity resulting in serious consequences for physical health and psychosocial functioning. ARFID often co-occurs with neurodevelopmental conditions (NDCs) and psychiatric conditions, but previous data are mostly limited to small clinical samples examining a narrow range of conditions. Here, we examined NDCs and psychiatric conditions in a large, population-based group of children with ARFID. Method: In a sample of 30,795 children born 1992-2008 in Sweden, ARFID was assessed using parent reports and clinical diagnoses from national health registers. Parents further reported symptoms of NDCs and psychiatric conditions at child age 9 or 12 years. We conducted regressions for symptom scores and screening diagnoses (identified using validated cut offs) on ARFID and examined interactions with sex. Results: Children with ARFID had significantly increased odds of all 17 screening diagnoses with odds ratios ranging from 3.3 for visual hallucinations to 13.7 for autism (all p<.0001). The most common NDCs were oppositional defiant disorder (19.4%), ADHD (16.9%), tic disorders (14.8%), and autism (12.1%). Among psychiatric conditions, separation anxiety disorder (29.0%) and sleep problems (20.0%) had the highest prevalence. We did not find any sex-specific differences in co-occurring conditions. Conclusion: This study highlights the co-occurrence of a broad range of NDCs and psychiatric conditions with ARFID in a large, non-clinical cohort. Our findings underscore that children with ARFID face significant burden from multiple co-existing conditions which should be considered during assessment and treatment.

The management of sleep disturbances in children with attention-deficit/hyperactivity disorder (ADHD): an update of the literature.

INTRODUCTION: Sleep disorders represent an important comorbidity in individuals with ADHD. While the links between ADHD and sleep disturbances have been extensively investigated, research on the management of sleep disorders in individuals with ADHD is relatively limited, albeit expanding. AREAS COVERED: The authors searched PubMed, Medline, PsycInfo, Embase+Embase Classic, Web of Sciences databases, and clinicaltrials.gov up to 4 January 2024, for randomized controlled trials (RCTs) of any intervention for sleep disorders associated with ADHD. They retained 16 RCTs (eight on pharmacological and eight on non-pharmacological interventions), supporting behavioral intervention and melatonin, and nine ongoing RCTs registered on clinicaltrials.gov. EXPERT OPINION: The pool of RCTs testing interventions for sleep disorders in individuals with ADHD is expanding. However, to inform clinical guidelines, there is a need for additional research in several areas, including 1) RCTs based on a precise phenotyping of sleep disorders; 2) pragmatic RCTs recruiting neurodevelopmental populations representative of those seen in clinical services; 3) trials testing alternative interventions (e.g. suvorexant or light therapy) or ways to deliver them (e.g. online); 4) sequential and longer-term RCTs; 5) studies testing the impact of sleep interventions on outcomes other than sleep; 6) and implementation of advanced evidence synthesis and precision medicine approaches.

Individualized prediction models in ADHD: a systematic review and meta-regression.

There have been increasing efforts to develop prediction models supporting personalised detection, prediction, or treatment of ADHD. We overviewed the current status of prediction science in ADHD by: (1) systematically reviewing and appraising available prediction models; (2) quantitatively assessing factors impacting the performance of published models. We did a PRISMA/CHARMS/TRIPOD-compliant systematic review (PROSPERO: CRD42023387502), searching, until 20/12/2023, studies reporting internally and/or externally validated diagnostic/prognostic/treatment-response prediction models in ADHD. Using meta-regressions, we explored the impact of factors affecting the area under the curve (AUC) of the models. We assessed the study risk of bias with the Prediction Model Risk of Bias Assessment Tool (PROBAST). From 7764 identified records, 100 prediction models were included (88% diagnostic, 5% prognostic, and 7% treatment-response). Of these, 96% and 7% were internally and externally validated, respectively. None was implemented in clinical practice. Only 8% of the models were deemed at low risk of bias; 67% were considered at high risk of bias. Clinical, neuroimaging, and cognitive predictors were used in 35%, 31%, and 27% of the studies, respectively. The performance of ADHD prediction models was increased in those models including, compared to those models not including, clinical predictors (ß = 6.54, p = 0.007). Type of validation, age range, type of model, number of predictors, study quality, and other type of predictors did not alter the AUC. Several prediction models have been developed to support the diagnosis of ADHD. However, efforts to predict outcomes or treatment response have been limited, and none of the available models is ready for implementation into clinical practice. The use of clinical predictors, which may be combined with other type of predictors, seems to improve the performance of the models. A new generation of research should address these gaps by conducting high quality, replicable, and externally validated models, followed by implementation research.

Genetics of environmental sensitivity to psychiatric and neurodevelopmental phenotypes: evidence from GWAS of monozygotic twins.

Individual sensitivity to environmental exposures may be genetically influenced. This genotype-by-environment interplay implies differences in phenotypic variance across genotypes. However, environmental sensitivity genetic variants have proven challenging to detect. GWAS of monozygotic twin differences is a family-based variance analysis method, which is more robust to systemic biases that impact population-based methods. We combined data from up to 21,792 monozygotic twins (10,896 pairs) from 11 studies to conduct the largest GWAS meta-analysis of monozygotic phenotypic differences in children and adolescents/adults for seven psychiatric and neurodevelopmental phenotypes: attention deficit hyperactivity disorder (ADHD) symptoms, autistic traits, anxiety and depression symptoms, psychotic-like experiences, neuroticism, and wellbeing. The SNP-heritability of variance in these phenotypes were estimated (h2: 0% to 18%), but were imprecise. We identified a total of 13 genome-wide significant associations (SNP, gene, and gene-set), including genes related to stress-reactivity for depression, growth factor-related genes for autistic traits and catecholamine uptake-related genes for psychotic-like experiences. Monozygotic twins are an important new source of evidence about the genetics of environmental sensitivity.

Intentional Self-Harm and Death by Suicide in Body Dysmorphic Disorder: A Nationwide Cohort Study.

BACKGROUND: Body dysmorphic disorder (BDD) is thought to be associated with considerable suicide risk. This nationwide cohort study quantified the risks of intentional self-harm-including nonsuicidal self-injuries and suicide attempts-and death by suicide in BDD. METHODS: Individuals with a validated ICD-10 diagnosis of BDD in the Swedish National Patient Register, registered between January 1, 1997, and December 31, 2020, were matched with 10 unexposed individuals (i.e., without BDD) from the general population on birth year, sex, and county of residence. Conditional Poisson regression models estimated incidence rate ratios and 95% CIs for intentional self-harm. Stratified Cox proportional hazards models estimated hazard ratios and 95% CIs for death by suicide. Models adjusted for sociodemographic variables and lifetime psychiatric comorbidities. RESULTS: Among 2833 individuals with BDD and 28,330 unexposed matched individuals, 466 (16.45%) and 1071 (3.78%), respectively, had at least 1 record of intentional self-harm during the study period (incidence rate ratio = 3.37; 95% CI, 3.02-3.76). In the BDD group, about two-thirds (n = 314; 67%) had their first recorded self-harm event before their first BDD diagnosis. A total of 17 (0.60%) individuals with BDD and 27 (0.10%) unexposed individuals died by suicide (hazard ratio = 3.47; 95% CI, 1.76-6.85). All results remained robust to additional adjustment for lifetime psychiatric comorbidities. A higher proportion of individuals with BDD who died by suicide had at least 1 previous record of intentional self-harm compared with unexposed individuals (52.94% vs. 22.22%; p = .036). CONCLUSIONS: BDD was associated with a 3-fold increased risk of intentional self-harm and death by suicide.