[Anhedonia in mood disorders and somatic diseases: results of exploratory Mendelian randomization analysis]. / Angedoniya pri rasstroistvakh nastroeniya i somaticheskikh zabolevaniyakh: rezul'taty razvedochnogo Mendelevskogo randomizatsionnogo analiza.

OBJECTIVE: To conduct an exploratory Mendelian randomization analysis of the causal relationships of anhedonia with a wide range of psychiatric and somatic phenotypes based on the genetic data of participants in a population study. MATERIAL AND METHODS: This cross-sectional study included 4520 participants, of which 50.4% (n=2280) were female. The mean age was 36.8 (S.D.=9.8) years. Participants were pheno-nailed based on the DSM-5 criteria for anhedonia in the framework of depression. An episode of anhedonia exceeding 2 weeks during life was reported by 57.6% (n=2604) of participants. A genome-wide association study (GWAS) of the anhedonia phenotype was performed, as well as a Mendelian randomization analysis using summary statistics of large-scale GWASs on psychiatric and somatic phenotypes. RESULTS: The GWAS on anhedonia did not reveal the variants with genome-wide significant association (p<10-8). The most significant (p=9.71×10-7) was the variant rs296009 (chr5:168513184) in an intron of the slit guidance ligand 3 (SLIT3) gene. Using Mendelian randomization, nominally significant (p<0.05) causal associations of anhedonia with 24 phenotypes were identified, which can be divided into 5 main groups: psychiatric/neurological diseases, inflammatory diseases of the digestive system, respiratory diseases, oncological diseases and metabolic disorders. The most significant causal effects of anhedonia were found for breast cancer (p=0.0004, OR=0.9986, 95% confidence interval (CI) (0.9978-0.999)), minimal depression phenotype (p=0.009, OR=1.004, 95% CI (1.001-1.007)), as well as for apolipoprotein A (p=0.01, OR=0.973, 95% CI (0.952-0.993)) and respiratory diseases (p=0.01, OR=0.9988, 95% CI (0.9980-0.9997)). CONCLUSION: The polygenic nature of anhedonia may cause the risks of comorbidity of this phenotype with a wide range of somatic diseases, as well as may be associated with mood disorders.

[Association of depression and anxiety with somatic diseases: negative lifestyle factors impact]. / Svyaz' depressii i trevogi s somaticheskimi zabolevaniyami: rol' negativnykh vneshnikh faktorov.

OBJECTIVE: To assess the associations of various depression and anxiety phenotypes with manifestations of different somatic disorders and negative lifestyle factors. MATERIAL AND METHODS: The study involved 5116 people. In the online questionnaire, participants provided information about age, sex, height and weight, as well as a history of smoking, alcohol use, physical activity and diagnoses/symptoms of various physical diseases. Self-questions based on the DSM-5 criteria and the online version of the HADS were used to screen for phenotypes of affective and anxiety disorders in a population sample. RESULTS: An association of both subclinical and clinical depressive symptoms on HADS-D was noted for respondents with weight gain (OR 1.43; CI: 1.29-1.58, p<0.05 and OR 1,CI: 1.05-1.52, p<0.05, respectively), increased BMI (OR 1.36; CI: 1.24-1.48, p<0.05 OR 1.27; CI: 1.09-1.47, p<0.05 respectively), and decreased physical activity (OR 1.67; CI: 1.35-2.07, p<0.05 and OR 2.35; CI: 1.59-3.57, p<0.05, respectively) at the time of testing. The phenotypes of depression, anxiety disorders, and bipolar disorder by DSM criteria were associated with a history of smoking. (OR 1.37; CI: 1.18-1.62, p<0.001; OR 1.36; CI: 1.24-1.48, p<0.05 and OR 1.59; CI: 1.26-2.01, p<0.001, respectively). For higher BMI the association was reported only for the bipolar depression phenotype (OR 1.16; CI: 1.04-1.29, p<0.05), and with a decrease in physical activity - for the phenotypes of major depression and anxiety disorders (OR 1.27; CI: 1.07-1.52, p<0.05 and OR 1.61; CI: 1.31-1.99, p<0.001, respectively). A significant association with various somatic disorders was noted for all phenotype variants, but to the greatest extent for those based on DSM criteria. CONCLUSIONS: The study confirmed the association of negative external factors and various somatic disorders with depression. These associations were noted for various phenotypes of anxiety and depression, both in severity and structure, and may be due to complex mechanisms that have shared biological and environmental mechanisms.

[Validation of a DSM-5-based screening test using digital phenotyping in the Russian population]. / Validatsiya skriningovogo testa, osnovannogo na kriteriyakh DSM-5, metodom tsifrovogo fenotipirovaniya na rossiiskoi populyatsii.

OBJECTIVE: To evaluate the validity of a depression and anxiety screening test based on DSM-5 diagnostic criteria to identify cases of these conditions simultaneously assessed with the validated Hospital Anxiety and Depression Scale (HADS) in a population sample by digital phenotyping. MATERIAL AND METHODS: This cross-validation study included 5.116 respondents (mean age 36.9 (9.8)), of which 49.4% (2526) were women. The depression and anxiety screening test was done in electronic form and based on the DSM-5 diagnostic criteria for major depressive disorder and generalized anxiety disorder. The validated HADS scale was used as a standard test. The categories of depression (HADS-D) and anxiety (HADS-A) phenotypes were formed with a cutoff of ≥8 points and ≥11 points. The main parameters of the validity of the screening test were calculated, including accuracy (Ac), sensitivity (Sn) and specificity (Sp) with their 95% confidence intervals [CI]. RESULTS: The prevalence of current depression and anxiety according to the screening test was 7.8% (400) and 12.5% (639), respectively. The prevalence of lifetime depression was 25.9% (1327). For the HADS-D depression subscale with cut-offs of ≥11 and ≥8 points, the prevalence of depression was 3.4% (174) and 15% (766), respectively. For the HADS-A anxiety subscale with cut-offs of ≥11 and ≥8 points, the prevalence of anxiety was 8.9% (456) and 31.8% (1628), respectively. For HADS-D and HADS-A with a cutoff of ≥11 points, the parameters of current depression were Ac=92%, Sn=47% (CI 95% [39-54]), Sp=94% (CI 95% [93-94]), lifetime depression - Ac=75%, Sn=63% (CI 95% [56-70]), Sp=75% (CI 95% [74-77]) and current anxiety - Ac=88%, Sn=54% (CI 95% [50-59]) and Sp=92% (CI 95% [90-92]). For HADS-D and HADS-A with a cutoff of ≥8 points, the parameters of current depression were Ac=86%, Sn=30% (CI 95% [27-33]), Sp=96% (CI 95% [95-97]), lifetime depression - Ac=74%, Sn=51% (CI 95% [48-55]), Sp=75% 79% (CI 95% [77-80]) and current anxiety - Ac=75%, Sn=31% (CI 95% [29-33]), Sp=96% (95% CI [95-97]). CONCLUSION: The high Ac and Sp of this test allows it to be used for screening purposes to identify (but not exclude) cases of depression and anxiety in the population. However, further studies are needed to validate the screening test using a diagnostic interview with a physician.

[Contemporary GWAS studies of depression: the critical role of phenotyping]. / Sovremennye issledovaniya po polnogenomnomu poisku assotsiatsii pri depressii: kriticheskaya rol' fenotipirovaniya.

The need to use large samples to identify the genetic risk loci of mental disorders has led us to the dilemma of phenotyping quality. Especially this problem relates to such common mental disorders as depression (lifetime prevalence 16.2%). On the one hand, there is a very resource-intensive method of capturing patient data by physicians using diagnostic criteria of mental disorders (DSM-V/ICD-10). On the other, there is a popular method of minimal phenotyping using hospital registers, self-reports of respondents on symptoms, diagnosis and treatment of depression. To date, there is no ideal method for phenotyping depression because all of them focus only on its clinical symptoms. The active usage of minimal phenotyping in Genome-Wide Association Study (GWAS) has led to a significant increase in both clinical and genetic heterogeneity of depression. However, an important limitation of using DSM-V/ICD-10 is the high cost of phenotyping due to the involvement of medical specialists. Thus, the most rational is to use electronic diagnostic questionnaires based on DSM-V/ICD-10 criteria. Such an approach will accelerate the increase in research capacity, but will preserve all internal contradictions inherent in official diagnostic classifications (heterogeneity of phenotypes, absence of objective diagnostic criteria, categorical approach, etc.). In this regard, the critical role of psychiatric epidemiology is growing both in the development of standardized tools for operationalized diagnostic criteria and in future GWAS by introducing new phenotypic subtypes of depression and its dimensions.

Genome assembly using quantum and quantum-inspired annealing.

Recent advances in DNA sequencing open prospects to make whole-genome analysis rapid and reliable, which is promising for various applications including personalized medicine. However, existing techniques for de novo genome assembly, which is used for the analysis of genomic rearrangements, chromosome phasing, and reconstructing genomes without a reference, require solving tasks of high computational complexity. Here we demonstrate a method for solving genome assembly tasks with the use of quantum and quantum-inspired optimization techniques. Within this method, we present experimental results on genome assembly using quantum annealers both for simulated data and the [Formula: see text]X 174 bacteriophage. Our results pave a way for a significant increase in the efficiency of solving bioinformatics problems with the use of quantum computing technologies and, in particular, quantum annealing might be an effective method. We expect that the new generation of quantum annealing devices would outperform existing techniques for de novo genome assembly. To the best of our knowledge, this is the first experimental study of de novo genome assembly problems both for real and synthetic data on quantum annealing devices and quantum-inspired techniques.

[GWAS-based polygenic risk scores for depression with clinical validation: methods and study design in the Russian population]. / Poligennye shkaly riska razvitiya depressii na osnove GWAS s klinicheskoi validatsiei: metodologiya i dizain issledovaniya v rossiiskoi populyatsii.

Depression is one of the leading causes of decreased quality of life and social functioning of patients. In the context of preventive medicine, the prevention of depression becomes a priority. To achieve the goals of prevention, it is necessary to identify specific population risk groups - individuals with a high genetic risk of depression. The paper describes the project aimed at developing a genetic test system based on polygenic risk scores (PRS) for depression, considering the multi-ethnicity and multicultural diversity of the Russian population. As a result of the study, data on the genetic architecture of depression (GWAS) and PRS for depression will be obtained for the first time. The emergence of a genetic test system developed in the study of the Russian population and in the conditions of a constant decrease in the cost of genetic research will allow an effective transition to preventive medicine in the area of mental health.