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      Sleep disturbance and psychiatric disorders: a bidirectional Mendelian randomisation study

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          Abstract

          Aims

          Sleep disturbance is an important factor in the pathophysiology and progression of psychiatric disorders, but whether it is a cause, or a downstream effect is still not clear.

          Methods

          To investigate causal relationships between three sleep-associated traits and seven psychiatric diseases, we used genetic variants related to insomnia, chronotype and sleep duration to perform a two-sample bidirectional Mendelian randomisation analysis. Summary-level data on psychiatric disorders were extracted from the Psychiatric Genomics Consortium. Effect estimates were obtained by using the inverse-variance-weighted (IVW), weights modified IVW, weighted-median methods, MR-Egger regression, MR pleiotropy residual sum and outlier (MR-PRESSO) test and Robust Adjusted Profile Score (RAPS).

          Results

          The causal odds ratio (OR) estimate of genetically determined insomnia was 1.33 (95% confidence interval (CI) 1.22–1.45; p = 5.03 × 10 −11) for attention-deficit/hyperactivity disorder (ADHD), 1.31 (95% CI 1.25–1.37; p = 6.88 × 10 −31) for major depressive disorder (MDD) and 1.32 (95% CI 1.23–1.40; p = 1.42 × 10 −16) for post-traumatic stress disorder (PTSD). There were suggestive inverse associations of morningness chronotype with risk of MDD and schizophrenia (SCZ). Genetically predicted sleep duration was also nominally associated with the risk of bipolar disorder (BD). Conversely, PTSD and MDD were associated with an increased risk of insomnia (OR = 1.06, 95% CI 1.03–1.10, p = 7.85 × 10 −4 for PTSD; OR = 1.37, 95% CI 1.14–1.64; p = 0.001 for MDD). A suggestive inverse association of ADHD and MDD with sleep duration was also observed.

          Conclusions

          Our findings provide evidence of potential causal relationships between sleep disturbance and psychiatric disorders. This suggests that abnormal sleep patterns may serve as markers for psychiatric disorders and offer opportunities for prevention and management in psychiatric disorders.

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          Most cited references44

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          The UK Biobank resource with deep phenotyping and genomic data

          The UK Biobank project is a prospective cohort study with deep genetic and phenotypic data collected on approximately 500,000 individuals from across the United Kingdom, aged between 40 and 69 at recruitment. The open resource is unique in its size and scope. A rich variety of phenotypic and health-related information is available on each participant, including biological measurements, lifestyle indicators, biomarkers in blood and urine, and imaging of the body and brain. Follow-up information is provided by linking health and medical records. Genome-wide genotype data have been collected on all participants, providing many opportunities for the discovery of new genetic associations and the genetic bases of complex traits. Here we describe the centralized analysis of the genetic data, including genotype quality, properties of population structure and relatedness of the genetic data, and efficient phasing and genotype imputation that increases the number of testable variants to around 96 million. Classical allelic variation at 11 human leukocyte antigen genes was imputed, resulting in the recovery of signals with known associations between human leukocyte antigen alleles and many diseases.
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            Acute and Longer-Term Outcomes in Depressed Outpatients Requiring One or Several Treatment Steps: A STAR*D Report

            This report describes the participants and compares the acute and longer-term treatment outcomes associated with each of four successive steps in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial.
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              Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys.

              Little is known about the extent or severity of untreated mental disorders, especially in less-developed countries. To estimate prevalence, severity, and treatment of Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) mental disorders in 14 countries (6 less developed, 8 developed) in the World Health Organization (WHO) World Mental Health (WMH) Survey Initiative. Face-to-face household surveys of 60 463 community adults conducted from 2001-2003 in 14 countries in the Americas, Europe, the Middle East, Africa, and Asia. The DSM-IV disorders, severity, and treatment were assessed with the WMH version of the WHO Composite International Diagnostic Interview (WMH-CIDI), a fully structured, lay-administered psychiatric diagnostic interview. The prevalence of having any WMH-CIDI/DSM-IV disorder in the prior year varied widely, from 4.3% in Shanghai to 26.4% in the United States, with an interquartile range (IQR) of 9.1%-16.9%. Between 33.1% (Colombia) and 80.9% (Nigeria) of 12-month cases were mild (IQR, 40.2%-53.3%). Serious disorders were associated with substantial role disability. Although disorder severity was correlated with probability of treatment in almost all countries, 35.5% to 50.3% of serious cases in developed countries and 76.3% to 85.4% in less-developed countries received no treatment in the 12 months before the interview. Due to the high prevalence of mild and subthreshold cases, the number of those who received treatment far exceeds the number of untreated serious cases in every country. Reallocation of treatment resources could substantially decrease the problem of unmet need for treatment of mental disorders among serious cases. Structural barriers exist to this reallocation. Careful consideration needs to be given to the value of treating some mild cases, especially those at risk for progressing to more serious disorders.
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                Author and article information

                Journal
                Epidemiol Psychiatr Sci
                Epidemiol Psychiatr Sci
                EPS
                Epidemiology and Psychiatric Sciences
                Cambridge University Press (Cambridge, UK )
                2045-7960
                2045-7979
                2022
                25 April 2022
                : 31
                : e26
                Affiliations
                [1 ]Department of Epidemiology and Biostatistics, School of Public Health, Zhejiang Chinese Medical University , Hangzhou 310053, China
                [2 ]Department of Internal Medicine, University of Minnesota-Twin Cities Medical School , Minneapolis, MN, USA
                [3 ]Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey , New Brunswick, NJ 08901, USA
                Author notes
                Authors for correspondence: Yingying Mao, E-mail: myy@ 123456zcmu.edu.cn ; Ding Ye, E-mail: yeding@ 123456zcmu.edu.cn
                [*]

                Xiaohui Sun and Bin Liu contributed equally.

                Author information
                https://orcid.org/0000-0003-3644-9160
                Article
                S2045796021000810
                10.1017/S2045796021000810
                9069588
                35465862
                327455be-f3c1-460d-8897-3cf91fd2d2f2
                © The Author(s) 2022

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.

                History
                : 31 March 2021
                : 23 November 2021
                : 19 December 2021
                Page count
                Figures: 3, References: 44, Pages: 8
                Funding
                Funded by: Foundation of Zhejiang Chinese Medical University
                Award ID: 2020ZG01
                Funded by: Foundation of Zhejiang Chinese Medical University
                Award ID: 2020ZG16
                Funded by: Natural Science Foundation of Zhejiang Province, doi http://dx.doi.org/10.13039/501100004731;
                Award ID: LQ20H260008
                Funded by: Natural Science Foundation of Zhejiang Province, doi http://dx.doi.org/10.13039/501100004731;
                Award ID: LQ21H260001
                Categories
                Original Article

                epidemiology,evidence-based psychiatry,factor analysis,psychosis,sleep

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