Interplay of polygenic liability with birth-related, somatic, and psychosocial factors in anorexia nervosa risk: a nationwide study.

BACKGROUND: Although several types of risk factors for anorexia nervosa (AN) have been identified, including birth-related factors, somatic, and psychosocial risk factors, their interplay with genetic susceptibility remains unclear. Genetic and epidemiological interplay in AN risk were examined using data from Danish nationwide registers. AN polygenic risk score (PRS) and risk factor associations, confounding from AN PRS and/or parental psychiatric history on the association between the risk factors and AN risk, and interactions between AN PRS and each level of target risk factor on AN risk were estimated. METHODS: Participants were individuals born in Denmark between 1981 and 2008 including nationwide-representative data from the iPSYCH2015, and Danish AN cases from the Anorexia Nervosa Genetics Initiative and Eating Disorder Genetics Initiative cohorts. A total of 7003 individuals with AN and 45 229 individuals without a registered AN diagnosis were included. We included 22 AN risk factors from Danish registers. RESULTS: Risk factors showing association with PRS for AN included urbanicity, parental ages, genitourinary tract infection, and parental socioeconomic factors. Risk factors showed the expected association to AN risk, and this association was only slightly attenuated when adjusted for parental history of psychiatric disorders or/and for the AN PRS. The interaction analyses revealed a differential effect of AN PRS according to the level of the following risk factors: sex, maternal age, genitourinary tract infection, C-section, parental socioeconomic factors and psychiatric history. CONCLUSIONS: Our findings provide evidence for interactions between AN PRS and certain risk-factors, illustrating potential diverse risk pathways to AN diagnosis.

Shared familial risk for type 2 diabetes mellitus and psychiatric disorders: a nationwide multigenerational genetics study.

BACKGROUND: Psychiatric disorders and type 2 diabetes mellitus (T2DM) are heritable, polygenic, and often comorbid conditions, yet knowledge about their potential shared familial risk is lacking. We used family designs and T2DM polygenic risk score (T2DM-PRS) to investigate the genetic associations between psychiatric disorders and T2DM. METHODS: We linked 659 906 individuals born in Denmark 1990-2000 to their parents, grandparents, and aunts/uncles using population-based registers. We compared rates of T2DM in relatives of children with and without a diagnosis of any or one of 11 specific psychiatric disorders, including neuropsychiatric and neurodevelopmental disorders, using Cox regression. In a genotyped sample (iPSYCH2015) of individuals born 1981-2008 (n = 134 403), we used logistic regression to estimate associations between a T2DM-PRS and these psychiatric disorders. RESULTS: Among 5 235 300 relative pairs, relatives of individuals with a psychiatric disorder had an increased risk for T2DM with stronger associations for closer relatives (parents:hazard ratio = 1.38, 95% confidence interval 1.35-1.42; grandparents: 1.14, 1.13-1.15; and aunts/uncles: 1.19, 1.16-1.22). In the genetic sample, one standard deviation increase in T2DM-PRS was associated with an increased risk for any psychiatric disorder (odds ratio = 1.11, 1.08-1.14). Both familial T2DM and T2DM-PRS were significantly associated with seven of 11 psychiatric disorders, most strongly with attention-deficit/hyperactivity disorder and conduct disorder, and inversely with anorexia nervosa. CONCLUSIONS: Our findings of familial co-aggregation and higher T2DM polygenic liability associated with psychiatric disorders point toward shared familial risk. This suggests that part of the comorbidity is explained by shared familial risks. The underlying mechanisms still remain largely unknown and the contributions of genetics and environment need further investigation.

Association between Mental Disorders and Subsequent Medical Conditions.

BACKGROUND: Persons with mental disorders are at a higher risk than the general population for the subsequent development of certain medical conditions. METHODS: We used a population-based cohort from Danish national registries that included data on more than 5.9 million persons born in Denmark from 1900 through 2015 and followed them from 2000 through 2016, for a total of 83.9 million person-years. We assessed 10 broad types of mental disorders and 9 broad categories of medical conditions (which encompassed 31 specific conditions). We used Cox regression models to calculate overall hazard ratios and time-dependent hazard ratios for pairs of mental disorders and medical conditions, after adjustment for age, sex, calendar time, and previous mental disorders. Absolute risks were estimated with the use of competing-risks survival analyses. RESULTS: A total of 698,874 of 5,940,299 persons (11.8%) were identified as having a mental disorder. The median age of the total population was 32.1 years at entry into the cohort and 48.7 years at the time of the last follow-up. Persons with a mental disorder had a higher risk than those without such disorders with respect to 76 of 90 pairs of mental disorders and medical conditions. The median hazard ratio for an association between a mental disorder and a medical condition was 1.37. The lowest hazard ratio was 0.82 for organic mental disorders and the broad category of cancer (95% confidence interval [CI], 0.80 to 0.84), and the highest was 3.62 for eating disorders and urogenital conditions (95% CI, 3.11 to 4.22). Several specific pairs showed a reduced risk (e.g., schizophrenia and musculoskeletal conditions). Risks varied according to the time since the diagnosis of a mental disorder. The absolute risk of a medical condition within 15 years after a mental disorder was diagnosed varied from 0.6% for a urogenital condition among persons with a developmental disorder to 54.1% for a circulatory disorder among those with an organic mental disorder. CONCLUSIONS: Most mental disorders were associated with an increased risk of a subsequent medical condition; hazard ratios ranged from 0.82 to 3.62 and varied according to the time since the diagnosis of the mental disorder. (Funded by the Danish National Research Foundation and others; COMO-GMC ClinicalTrials.gov number, NCT03847753.).

Involuntary treatment in patients with anorexia nervosa: utilization patterns and associated factors.

BACKGROUND: A subgroup of patients with anorexia nervosa (AN) undergoing involuntary treatment (IT) seems to account for most of the IT events. Little is known about these patients and their treatment including the temporal distribution of IT events and factors associated with subsequent utilization of IT. Hence, this study explores (1) utilization patterns of IT events, and (2) factors associated with subsequent utilization of IT in patients with AN. METHODS: In this nationwide Danish register-based retrospective exploratory cohort study patients were identified from their first (index) hospital admission with an AN diagnosis and followed up for 5 years. We explored data on IT events including estimated yearly and total 5-year rates, and factors associated with subsequent increased IT rates and restraint, using regression analyses and descriptive statistics. RESULTS: IT utilization peaked in the initial few years starting at or following the index admission. A small percentage (1.0%) of patients accounted for 67% of all IT events. The most frequent measures reported were mechanical and physical restraint. Factors associated with subsequent increased IT utilization were female sex, lower age, previous admissions with psychiatric disorders before index admission, and IT related to those admissions. Factors associated with subsequent restraint were lower age, previous admissions with psychiatric disorders, and IT related to these. CONCLUSIONS: High IT utilization in a small percentage of individuals with AN is concerning and can lead to adverse treatment experiences. Exploring alternative approaches to treatment that reduce the need for IT is an important focus for future research.

Vagotomy and the risk of mental disorders: A nationwide population-based study.

OBJECTIVE: To investigate vagotomy, the severance of the vagus nerve, and its association with mental disorders, as gut-brain communication partly mediated by the vagus nerve have been suggested as a risk factor. METHODS: Nationwide population-based Danish register study of all individuals alive and living in Denmark during the study period 1977-2016 and who had a hospital contact for ulcer with or without vagotomy. Follow-up was until any diagnosis of mental disorders requiring hospital contact, emigration, death, or end of follow-up on December 31, 2016, whichever came first. Data were analyzed using survival analysis and adjusted for sex, age, calendar year, ulcer type, and Charlson comorbidity index score. RESULTS: During the study period, 113,086 individuals had a hospital contact for ulcer. Of these, 5,408 were exposed to vagotomy where 375 (6.9%) subsequently developed a mental disorder. Vagotomy overall was not associated with mental disorders (HR: 1.10; 95%CI: 0.99-1.23), compared to individuals with ulcer not exposed to vagotomy. However, truncal vagotomy was associated with an increased HR of 1.22 (95%CI: 1.06-1.41) for mental disorders, whereas highly selective vagotomy was not associated with mental disorders (HR: 0.98; 95%CI: 0.84-1.15). Truncal vagotomy was also associated with higher risk of mental disorders when compared to highly selective vagotomy (p = 0.034). CONCLUSIONS: Overall, vagotomy did not increase the risk of mental disorders; however, truncal vagotomy specifically was associated with a small risk increase in mental disorders, whereas no association was found for highly selective vagotomy. Thus, the vagus nerve does not seem to have a major impact on the development of mental disorders.

Influence of eating disorder psychopathology and general psychopathology on the risk of involuntary treatment in anorexia nervosa.

PURPOSE: We explored associations between clinical factors, including eating disorder psychopathology and more general psychopathology, and involuntary treatment in patients with anorexia nervosa. Our intention was to inform identification of patients at risk of involuntary treatment. METHODS: This was a retrospective cohort study combining clinical data from a specialized eating disorder hospital unit in Denmark with nationwide Danish register-based data. A sequential methodology yielding two samples (212 and 278 patients, respectively) was adopted. Descriptive statistics and regression analyses were used to explore associations between involuntary treatment and clinical factors including previous involuntary treatment, patient cooperation, and symptom-level psychopathology (Eating Disorder Inventory-2 (EDI-2) and Symptom Checklist-90-Revised (SCL-90-R)). RESULTS: Somatization (SCL-90-R) (OR = 2.60, 95% CI 1.16-5.81) and phobic anxiety (SCL-90-R) (OR = 0.43, 95% CI 0.19-0.97) were positively and negatively, respectively, associated with the likelihood of involuntary treatment. Furthermore, somatization (HR = 1.77, 95% CI 1.05-2.99), previous involuntary treatment (HR = 5.0, 95% CI 2.68-9.32), and neutral (HR = 2.92, 95% CI 1.20-7.13) or poor (HR = 3.97, 95% CI 1.49-10.59) patient cooperation were associated with decreased time to involuntary treatment. Eating disorder psychopathology measured by the EDI-2 was not significantly associated with involuntary treatment. CONCLUSIONS: Clinical questionnaires of psychopathology appear to capture specific domains relevant to involuntary treatment. Poor patient cooperation and previous involuntary treatment being associated with shorter time to involuntary treatment raise important clinical issues requiring attention. Novel approaches to acute anorexia nervosa care along with unbiased evaluation upon readmission could mitigate the cycle of repeat admissions with involuntary treatment. LEVEL OF EVIDENCE: Level III, cohort study.

Infectious mononucleosis as a risk factor for depression: A nationwide cohort study.

BACKGROUND: Infectious mononucleosis is a clinical diagnosis characterized by fever, sore throat, lymph node enlargement and often prolonged fatigue, most commonly caused by Epstein-Barr virus infection. Previous studies have indicated that infectious mononucleosis can be followed by depression; however, large-scale studies are lacking. We used nationwide registry data to investigate the association between infectious mononucleosis and subsequent depression in this first large-scale study. METHODS: Prospective cohort study using nationwide Danish registers covering all 1,440,590 singletons born (1977-2005) in Denmark by Danish born parents (21,830,542 person-years' follow-up until 2016); where 12,510 individuals had a hospital contact with infectious mononucleosis. The main outcome measures were a diagnosis of major depressive disorder (ICD-8: 296.09, 298.09, 300.4; ICD-10: F32) requiring hospital contact. RESULTS: Infectious mononucleosis was associated with a 40% increased hazard ratio (HR) for a subsequent depression diagnosis in the fully adjusted model (HR: 1.40, 95% CI: 1.26-1.56;n = 358), when compared to unexposed individuals. The increased risk of being diagnosed with depression was significant to the periods one to four years after the infectious mononucleosis diagnosis (HR: 1.40, 95% CI: 1.17-1.67;n = 121) and ≥ five years (HR: 1.40, 95% CI: 1.22-1.61;n = 207). We did not find any differences according to age (p = 0.61) nor sex (p = 0.30). CONCLUSION: In this largest study to date, infectious mononucleosis in childhood or adolescence was associated with an increased risk of a subsequent depression. Our findings have important clinical implications and identifies youth with infectious mononucleosis as a group at high risk of later depression in young adulthood.

The Eating Disorders Genetics Initiative (EDGI): study protocol.

BACKGROUND: The Eating Disorders Genetics Initiative (EDGI) is an international investigation exploring the role of genes and environment in anorexia nervosa, bulimia nervosa, and binge-eating disorder. METHODS: A total of 14,500 individuals with eating disorders and 1500 controls will be included from the United States (US), Australia (AU), New Zealand (NZ), and Denmark (DK). In the US, AU, and NZ, participants will complete comprehensive online phenotyping and will submit a saliva sample for genotyping. In DK, individuals with eating disorders will be identified by the National Patient Register, and genotyping will occur using bloodspots archived from birth. A genome-wide association study will be conducted within EDGI and via meta-analysis with other data from the Eating Disorders Working Group of the Psychiatric Genomics Consortium (PGC-ED). DISCUSSION: EDGI represents the largest genetic study of eating disorders ever to be conducted and is designed to rapidly advance the study of the genetics of the three major eating disorders (anorexia nervosa, bulimia nervosa, and binge-eating disorder). We will explicate the genetic architecture of eating disorders relative to each other and to other psychiatric and metabolic disorders and traits. Our goal is for EDGI to deliver "actionable" findings that can be transformed into clinically meaningful insights. TRIAL REGISTRATION: EDGI is a registered clinical trial: clinicaltrials.gov NCT04378101 .

Premature mortality in persons with epilepsy and schizophrenia: A population-based nationwide cohort study.

OBJECTIVE: To determine the mortality for persons with epilepsy and schizophrenia by absolute and relative measures. METHODS: This is a population-based nationwide cohort study of persons born in Denmark from 1960 to 1987 who were alive and residing in Denmark on their 25th birthday. We identified persons diagnosed with epilepsy and schizophrenia prior to their 25th birthday and followed them to death, emigration, or December 31, 2012, whichever came first. The primary outcome was overall mortality. Data were analyzed using Cox regressions. RESULTS: Persons were followed for 24 167 573 person years; the median was 15 years. The mortality rate ratio was 4.4 (95% confidence interval [CI] = 4.1-4.7) for persons with epilepsy, 6.6 (95% CI = 6.1-7.1) for persons with schizophrenia, and 12.8 (95% CI = 9.1-18.1) for persons with both disorders, compared with persons without these disorders. The estimated cumulative mortality at the age of 50 years was 3.1% (95% CI = 3.0-3.1) for persons without epilepsy and schizophrenia, 10.7% (95% CI = 9.7-11.8) for persons with epilepsy, 17.4% (95% CI = 16.0-18.8) for persons with schizophrenia, and 27.2% (95% CI = 15.7-40.1) for persons with both disorders. SIGNIFICANCE: Persons with epilepsy and schizophrenia have very high mortality; more than one in four persons with both disorders died between the age of 25 and 50 years, indicating that these patients need special clinical attention.

Latent anxiety and depression dimensions differ amongst patients with eating disorders: A Swedish nationwide investigation.

OBJECTIVE: Anxiety and depression symptoms are common in individuals with eating disorders. To study these co-occurrences, we need high-quality self-report questionnaires. The 19-item self-rated Comprehensive Psychopathological Rating Scale for Affective Syndromes (CPRS-S-A) is not validated in patients with eating disorders. We tested its factor structure, invariance, and differences in its latent dimensions. METHOD: Patients were registered by 45 treatment units in the Swedish nationwide Stepwise quality assurance database for specialised eating disorder care (n = 9509). Patients self-reported their anxiety and depression symptoms on the CPRS-S-A. Analyses included exploratory and confirmatory factor analyses (CFA) in split samples, and testing of invariance and differences in subscales across eating disorder types. RESULTS: Results suggested a four-factor solution: Depression, Somatic and fear symptoms, Disinterest, and Worry. Multigroup CFA indicated an invariant factor structure. We detected the following differences: Patients with anorexia nervosa binge-eating/purging subtype scored the highest and patients with unspecified feeding and eating disorders the lowest on all subscales. Patients with anorexia nervosa or purging disorder show more somatic and fear symptoms than individuals with either bulimia nervosa or binge-eating disorder. CONCLUSION: Our four-factor solution of the CPRS-S-A is suitable for patients with eating disorders and may help to identify differences in anxiety and depression dimensions amongst patients with eating disorders.

Pharmacotherapy in anorexia nervosa: A Danish nation-wide register-based study.

OBJECTIVE: No medications have been indicated for the treatment of anorexia nervosa (AN). Nonetheless, individuals with AN are frequently treated pharmacologically. The present study maps nationwide pharmacotherapy two years before to five years after first AN diagnosis. METHODS: We identified all medication prescriptions in a national register-based study of patients with a first diagnosis of AN between 1998 and 2011, and age and gender matched controls (1:10). Medication classes were compared using odds ratios (OR) between patients and controls; between patients below and above 15 years; between patients with and without comorbidity; and between those diagnosed before or after 2005. RESULTS: The odds of pharmacotherapy were increased in patients for all classes of medication except a small residual class. Highest odds were found for alimentary (OR 2.8, p < 0.001) and psychopharmacological (OR 5.5, p < 0.001) medication. The former peaked one year prior to first diagnosis and the latter one year after. Older patients had increased risk of almost all medication classes with cardiovascular medication showing a fivefold OR (p < 0.001). Patients with psychiatric comorbidity had a threefold OR for psychopharmacological medication (p < 0.001) compared to patients without psychiatric comorbidity. Calendar year showed few and small differences. CONCLUSION: The extended use of all medication classes both prior to and after first diagnosis of AN highlights the severe cause and complexity of AN. The results encourage clinical caution of pharmacotherapy, highlight the need for pharmacotherapy guidelines for AN, and emphasize the urgency of research in pharmacotherapy in AN.

Bidirectional Associations Between Asthma and Types of Mental Disorders.

BACKGROUND: Asthma and mental disorders frequently co-occur. Studies of their comorbidity have generally focused on associations related to a subset of mental disorders. OBJECTIVE: To estimate bidirectional associations between asthma and 10 broad types of mental disorders. METHODS: In a population-based cohort study, including all individuals born in Denmark between 1955 and 2011 (N = 5,053,471), we considered diagnoses of comorbid mental disorders among those with asthma, and vice versa, between 2000 and 2016. We used Cox regression models to calculate overall and time-dependent hazard ratios for mental disorder-asthma pairs and competing-risks survival analyses to estimate absolute risks. RESULTS: Altogether, 376,756 individuals were identified as having an incident mental disorder and 364,063 incident asthma during follow-up. An increased risk was seen for all bidirectional mental disorder-asthma pairs. Following an asthma diagnosis, adjusted hazard ratios for different subsequent mental disorders ranged from 1.75 (95% CI, 1.64-1.87) for organic disorders to 2.75 (95% CI, 2.69-2.81) for personality disorders. Following a prior mental disorder diagnosis, hazard ratios for asthma ranged from 1.06 (95% CI, 1.00-1.12) for developmental disorders to 2.33 (95% CI, 2.28-2.39) for substance use disorders. Risks varied with time since prior disorder diagnosis but remained elevated. Cumulative incidence of (1) asthma after a mental disorder and (2) a mental disorder after asthma was higher in those with prior disorders than in matched reference groups. CONCLUSIONS: Our findings provide evidence of bidirectional associations between asthma and each of the mental disorder types, suggesting possible shared etiological factors or pathophysiologic processes.

Multi-PGS enhances polygenic prediction by combining 937 polygenic scores.

The predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and takes time, but this sample size can be effectively increased by using genetically correlated phenotypes. We propose a framework to generate multi-PGS from thousands of publicly available genome-wide association studies (GWAS) with no need to individually select the most relevant ones. In this study, the multi-PGS framework increases prediction accuracy over single PGS for all included psychiatric disorders and other available outcomes, with prediction R2 increases of up to 9-fold for attention-deficit/hyperactivity disorder compared to a single PGS. We also generate multi-PGS for phenotypes without an existing GWAS and for case-case predictions. We benchmark the multi-PGS framework against other methods and highlight its potential application to new emerging biobanks.

Genetic correlates of vitamin D-binding protein and 25-hydroxyvitamin D in neonatal dried blood spots.

The vitamin D binding protein (DBP), encoded by the group-specific component (GC) gene, is a component of the vitamin D system. In a genome-wide association study of DBP concentration in 65,589 neonates we identify 26 independent loci, 17 of which are in or close to the GC gene, with fine-mapping identifying 2 missense variants on chromosomes 12 and 17 (within SH2B3 and GSDMA, respectively). When adjusted for GC haplotypes, we find 15 independent loci distributed over 10 chromosomes. Mendelian randomization analyses identify a unidirectional effect of higher DBP concentration and (a) higher 25-hydroxyvitamin D concentration, and (b) a reduced risk of multiple sclerosis and rheumatoid arthritis. A phenome-wide association study confirms that higher DBP concentration is associated with a reduced risk of vitamin D deficiency. Our findings provide valuable insights into the influence of DBP on vitamin D status and a range of health outcomes.

The correlates of neonatal complement component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders.

Complement components have been linked to schizophrenia and autoimmune disorders. We examined the association between neonatal circulating C3 and C4 protein concentrations in 68,768 neonates and the risk of six mental disorders. We completed genome-wide association studies (GWASs) for C3 and C4 and applied the summary statistics in Mendelian randomization and phenome-wide association studies related to mental and autoimmune disorders. The GWASs for C3 and C4 protein concentrations identified 15 and 36 independent loci, respectively. We found no associations between neonatal C3 and C4 concentrations and mental disorders in the total sample (both sexes combined); however, post-hoc analyses found that a higher C3 concentration was associated with a reduced risk of schizophrenia in females. Mendelian randomization based on C4 summary statistics found an altered risk of five types of autoimmune disorders. Our study adds to our understanding of the associations between C3 and C4 concentrations and subsequent mental and autoimmune disorders.

Polygenic association with severity and long-term outcome in eating disorder cases.

About 20% of individuals with anorexia nervosa (AN) remain chronically ill. Therefore, early identification of poor outcome could improve care. Genetic research has identified regions of the genome associated with AN. Patients with anorexia nervosa were identified via the Swedish eating disorder quality registers Stepwise and Riksät and invited to participate in the Anorexia Nervosa Genetics Initiative. First, we associated genetic information longitudinally with eating disorder severity indexed by scores on the Clinical Impairment Assessment (CIA) in 2843 patients with lifetime AN with or without diagnostic migration to other forms of eating disorders followed for up to 16 years (mean = 5.3 years). Second, we indexed the development of a severe and enduring eating disorder (SEED) by a high CIA score plus a follow-up time ≥5 years. We associated individual polygenic scores (PGSs) indexing polygenic liability for AN, schizophrenia, and body mass index (BMI) with severity and SEED. After multiple testing correction, only the BMI PGS when calculated with traditional clumping and p value thresholding was robustly associated with disorder severity (ßPGS = 1.30; 95% CI: 0.72, 1.88; p = 1.2 × 10-5) across all p value thresholds at which we generated the PGS. However, using the alternative PGS calculation method PRS-CS yielded inconsistent results for all PGS. The positive association stands in contrast to the negative genetic correlation between BMI and AN. Larger discovery GWASs to calculate PGS will increase power, and it is essential to increase sample sizes of the AN GWASs to generate clinically meaningful PGS as adjunct risk prediction variables. Nevertheless, this study provides the first evidence of potential clinical utility of PGSs for eating disorders.

Psychopharmacological treatment patterns prior to a schizophrenia diagnosis: A Danish nationwide study.

BACKGROUND: Many patients with schizophrenia experience psychiatric symptoms long before being diagnosed. We investigated patterns of pre-diagnostic psychopharmacological treatment in individuals diagnosed with first-episode schizophrenia during the last two decades. DESIGN: Using Danish nationwide healthcare registers, we identified all individuals aged ≥10 years registered with their first ICD-10 schizophrenia diagnosis between January 1999 and March 2019. For each calendar year from 1999 to 2019, we calculated the proportion of patients - among those having received their first schizophrenia diagnosis in the respective calendar year - who redeemed prescriptions for various psychotropics in the two years preceding the schizophrenia diagnosis. We calculated proportions of all pre-diagnostic prescriptions since 1995 for a sub-population diagnosed 2011-2019 and for an age- and sex-matched reference group without schizophrenia. RESULTS: Among 33,361 individuals with schizophrenia (58 % males), the schizophrenia incidence rate was stable during the study period but the mean age at diagnosis decreased by >10 years. In the two pre-diagnostic years, 69 % received psychopharmacological treatment (52 % antipsychotics, 40 % antidepressants). This was stable between 1999 and 2019. Among 14,425 individuals diagnosed 2011-2019, psychotropic drug use was observed among 14-20 % between 24 and 10 years before the diagnosis, being four times higher than the reference group. Particularly antipsychotic and antidepressant drug use increased steadily during the ten pre-diagnostic years. CONCLUSIONS: Pre-diagnostic psychotropic drug use in schizophrenia was frequent but stable between 1999 and 2019 despite an earlier identification of schizophrenia patients. Our findings emphasize the continued importance of thorough diagnostic interviews, particularly among patients in need of antipsychotic treatment.

Exploring the clinical and genetic associations of adult weight trajectories using electronic health records in a racially diverse biobank: a phenome-wide and polygenic risk study.

BACKGROUND: Weight trajectories might reflect individual health status. In this study, we aimed to examine the clinical and genetic associations of adult weight trajectories using electronic health records (EHRs) in the BioMe Biobank. METHODS: We constructed four weight trajectories based on a-priori definitions of weight changes (5% or 10%) using annual weight in EHRs (stable weight, weight gain, weight loss, and weight cycle); the final weight dataset included 21 487 participants with 162 783 annual weight measures. To confirm accurate assignment of weight trajectories, we manually reviewed weight trajectory plots for 100 random individuals. We then did a hypothesis-free phenome-wide association study (PheWAS) to identify diseases associated with each weight trajectory. Next, we estimated the single-nucleotide polymorphism-based heritability (hSNP2) of weight trajectories using GCTA-GREML, and we did a hypothesis-driven analysis of anorexia nervosa and depression polygenic risk scores (PRS) on these weight trajectories, given both diseases are associated with weight changes. We extended our analyses to the UK Biobank to replicate findings from a patient population to a generally healthy population. FINDINGS: We found high concordance between manually assigned weight trajectories and those assigned by the algorithm (accuracy ≥98%). Stable weight was consistently associated with lower disease risks among those passing Bonferroni-corrected p value in our PheWAS (p≤4·4 × 10-5). Additionally, we identified an association between depression and weight cycle (odds ratio [OR] 1·42, 95% CI 1·31-1·55, p≤7·7 × 10-16). The adult weight trajectories were heritable (using 5% weight change as the cutoff: hSNP2 of 2·1%, 95% CI 0·9-3·3, for stable weight; 4·1%, 1·4-6·8, for weight gain; 5·5%, 2·8-8·2, for weight loss; and 4·7%, 2·3-7·1%, for weight cycle). Anorexia nervosa PRS was positively associated with weight loss trajectory among individuals without eating disorder diagnoses (OR1SD 1·16, 95% CI 1·07-1·26, per 1 SD higher PRS, p=0·011), and the association was not attenuated by obesity PRS. No association was found between depression PRS and weight trajectories after permutation tests. All main findings were replicated in the UK Biobank (p<0·05). INTERPRETATION: Our findings suggest the importance of considering weight from a longitudinal aspect for its association with health and highlight a crucial role of weight management during disease development and progression. FUNDING: Klarman Family Foundation, US National Institute of Mental Health (NIMH).

Association and Familial Coaggregation of Type 1 Diabetes and Eating Disorders: A Register-Based Cohort Study in Denmark and Sweden.

OBJECTIVE: To ascertain the association and coaggregation of eating disorders and childhood-onset type 1 diabetes in families. RESEARCH DESIGN AND METHODS: Using population samples from national registers in Sweden (n = 2,517,277) and Demark (n = 1,825,920), we investigated the within-individual association between type 1 diabetes and eating disorders and their familial coaggregation among full siblings, half siblings, full cousins, and half cousins. On the basis of clinical diagnoses, we classified eating disorders into any eating disorder (AED), anorexia nervosa (AN) and atypical AN, and other eating disorder (OED). Associations were determined with hazard ratios (HRs) with 95% CIs from Cox regressions. RESULTS: Swedish and Danish individuals with a type 1 diabetes diagnosis had a greater risk of receiving an eating disorder diagnosis (HR [95% CI] Sweden: AED 2.02 [1.80-2.27], AN 1.63 [1.36-1.96], OED 2.34 [2.07-2.63]; Denmark: AED 2.19 [1.84-2.61], AN 1.78 [1.36-2.33], OED 2.65 [2.20-3.21]). We also meta-analyzed the results: AED 2.07 (1.88-2.28), AN 1.68 (1.44-1.95), OED 2.44 (2.17-2.72). There was an increased risk of receiving an eating disorder diagnosis in full siblings in the Swedish cohort (AED 1.25 [1.07-1.46], AN 1.28 [1.04-1.57], OED 1.28 [1.07-1.52]); these results were nonsignificant in the Danish cohort. CONCLUSIONS: Patients with type 1 diabetes are at a higher risk of subsequent eating disorders; however, there is conflicting support for the relationship between having a sibling with type 1 diabetes and an eating disorder diagnosis. Diabetes health care teams should be vigilant about disordered eating behaviors in children and adolescents with type 1 diabetes.