Dataset Information

Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium.

ABSTRACT: We provide an overview of the recent achievements in psychiatric genetics research in the Russian Federation and present genotype-phenotype, population, epigenetic, cytogenetic, functional, ENIGMA, and pharmacogenetic studies, with an emphasis on genome-wide association studies. The genetic backgrounds of mental illnesses in the polyethnic and multicultural population of the Russian Federation are still understudied. Furthermore, genetic, genomic, and pharmacogenetic data from the Russian Federation are not adequately represented in the international scientific literature, are currently not available for meta-analyses and have never been compared with data from other populations. Most of these problems cannot be solved by individual centers working in isolation but warrant a truly collaborative effort that brings together all the major psychiatric genetic research centers in the Russian Federation in a national consortium. For this reason, we have established the Russian National Consortium for Psychiatric Genetics (RNCPG) with the aim to strengthen the power and rigor of psychiatric genetics research in the Russian Federation and enhance the international compatibility of this research.The consortium is set up as an open organization that will facilitate collaborations on complex biomedical research projects in human mental health in the Russian Federation and abroad. These projects will include genotyping, sequencing, transcriptome and epigenome analysis, metabolomics, and a wide array of other state-of-the-art analyses. Here, we discuss the challenges we face and the approaches we will take to unlock the huge potential that the Russian Federation holds for the worldwide psychiatric genetics community.

SUBMITTER: Fedorenko OY

PROVIDER: S-EPMC6756082 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium.

Fedorenko Olga Yu OY Golimbet Vera E VE Ivanova Svetlana А SА Levchenko Аnastasia А Gainetdinov Raul R RR Semke Arkady V AV Simutkin German G GG Gareeva Аnna E АE Glotov Аndrey S АS Gryaznova Anna A Iourov Ivan Y IY Krupitsky Evgeny M EM Lebedev Igor N IN Mazo Galina E GE Kaleda Vasily G VG Abramova Lilia I LI Oleichik Igor V IV Nasykhova Yulia A YA Nasyrova Regina F RF Nikolishin Anton E AE Kasyanov Evgeny D ED Rukavishnikov Grigory V GV Timerbulatov Ilgiz F IF Brodyansky Vadim M VM Vorsanova Svetlana G SG Yurov Yury B YB Zhilyaeva Tatyana V TV Sergeeva Anzhelika V AV Blokhina Elena A EA Zvartau Edwin E EE Blagonravova Anna S AS Aftanas Lyubomir I LI Bokhan Nikolay А NА Kekelidze Zurab I ZI Klimenko Tatyana V TV Anokhina Irina P IP Khusnutdinova Elza K EK Klyushnik Tatyana P TP Neznanov Nikolay G NG Stepanov Vadim A VA Schulze Thomas G TG Kibitov Аleksandr О АО

Molecular psychiatry 20190121 8

We provide an overview of the recent achievements in psychiatric genetics research in the Russian Federation and present genotype-phenotype, population, epigenetic, cytogenetic, functional, ENIGMA, and pharmacogenetic studies, with an emphasis on genome-wide association studies. The genetic backgrounds of mental illnesses in the polyethnic and multicultural population of the Russian Federation are still understudied. Furthermore, genetic, genomic, and pharmacogenetic data from the Russian Federa ...[more]

PMID: 30664668

Similar Datasets

Project description:Testing hundreds of thousands of DNA markers in human, mouse, and other species for association to complex traits like disease is now a reality. However, information on how variations in DNA impact complex physiologic processes flows through transcriptional and other molecular networks. In other words, DNA variations impact complex diseases through the perturbations they cause to transcriptional and other biological networks, and these molecular phenotypes are intermediate to clinically defined disease. Because it is also now possible to monitor transcript levels in a comprehensive fashion, integrating DNA variation, transcription, and phenotypic data has the potential to enhance identification of the associations between DNA variation and diseases like obesity and diabetes, as well as characterize those parts of the molecular networks that drive these diseases. Toward that end, we review methods for integrating expression quantitative trait loci (eQTLs), gene expression, and clinical data to infer causal relationships among gene expression traits and between expression and clinical traits. We further describe methods to integrate these data in a more comprehensive manner by constructing coexpression gene networks that leverage pairwise gene interaction data to represent more general relationships. To infer gene networks that capture causal information, we describe a Bayesian algorithm that further integrates eQTLs, expression, and clinical phenotype data to reconstruct whole-gene networks capable of representing causal relationships among genes and traits in the network. These emerging network approaches, aimed at processing high-dimensional biological data by integrating data from multiple sources, represent some of the first steps in statistical genetics to identify multiple genetic perturbations that alter the states of molecular networks and that in turn push systems into disease states. Evolving statistical procedures that operate on networks will be critical to extracting information related to complex phenotypes like disease, as research goes beyond a single-gene focus. The early successes achieved with the methods described herein suggest that these more integrative genomics approaches to dissecting disease traits will significantly enhance the identification of key drivers of disease beyond what could be achieved by genetic association studies alone.

Project description:BackgroundCervical cancer is one of the leading causes of cancer in women of childbearing age worldwide. A substantial fraction of cervical cancer is associated with Human Papilloma Virus (HPV) infection and is preventable through vaccination and screening. The aim of the study is to describe geographic and epidemiologic trends in incidence and mortality of cervical cancer in Russia during 2007-2018.MethodsPublicly accessible data from the P.A. Herzen Moscow Oncology Research Institute and the Ministry of Health of Russian Federation for 2007-2018 was used for this study. Cervical cancer incidence and mortality rates were analyzed using descriptive statistics and results were mapped to determine the geographic distribution. Potential contributing risk factors in the population were studied using univariate and multivariate Poisson regression analyses.FindingsA total of 187,013 patients were diagnosed with cervical cancer in Russia between 2007 and 2018. The average age-standardized incidence (ASIR) and mortality rates (ASMR) were 15.70/100,000 and 5.76/100,000 females, respectively, with a 27% increase in the incidence observed between 2007 and 2018. The highest ASIR was observed in the Far Eastern Federal District and the lowest in the Central Federal District. Multivariate model for cervical cancer ASIR showed that daily smoking (p = 0·0003) and syphilis (p = 0.003) were significantly associated with cervical cancer incidence.InterpretationThe incidence of cervical cancer in Russia is rising at a significant pace. This trend can in part be attributed to a lack of nationwide cervical cancer screening . The presented results are valuable for informing public health policy on HPV vaccinations, smoking prevention and cervical cancer screening as urgent interventions are needed to combat a troubling trend.FundingThis work was supported by the Cancer Research Society (CRS)-Canadian Institutes for Health Research (CIHR) Partnership Grant #25343 to Dr. Litvinov. Canadian Dermatology Foundation research grant to Dr. Litvinov, and by the Fonds de la recherche du Québec - Santé to Dr. Sasseville (#22648) and to Dr. Litvinov (#34753 and #36769). This research was further supported by the CIHR Catalyst Grant #428712 to Dr. Litvinov.

Project description:The situation with cardiovascular (CV) burden in Russian population is alerting, and becomes of interest due to high CV mortality, and shorter lifespan if compare with the Western society amid the absence of the established monitoring or screening system for major CV risk factors. The purpose of this systematic epidemiological update was to explore CV burden in Russia. The study represents pooled results with a systematic epidemiological review of the national mass screening, selected randomized clinical trials and statistical datasets of the national public health CV institutions exploring the trends of the CV burden in all 83 regions of Russia. We overviewed data from a number of the available Russian-speaking national data sources of 2001-2014, and NANOM-FIM trial (NCT01270139) as the only available real-world population study. The CV diseases in Russia accounted for 54.9% of all deaths in 2011-2014. The death rate was 13.3 per 1,000 citizens with CV mortality of 653.9 per 100,000. The life expectancy achieves 64.3 years for male and 76.1 years for female. The mean age of pts in trial was 51.6 years (77.2% males). A total of 175 Russian PCI centers implemented 205,902 angio a year, and 75,378 PCI achieving 531 PCI per 1,000,000 with placement of 101,451 stents (1.37 stents per PCI; 48,057 DES). The smoking (17.3% of screened with a 2,786 cigarettes a year; 70.6% in trial), excessive alcohol consumption (1.8% of screened with a 11.6 L per year; 50.6% in trial), unhealthy Russian diet (abundance of carbohydrates/sugar, saturated and trans fats in 24.3% of screened), psychosocial factors (20%) and physical inactivity (19.6% of screened) remain the major modifiable risk factors. They, in turn, affect such risk factors as dyslipidemia (86.7% in trial), obesity (16.7% of screened; BMI in trial was 28.4), and hypertension (40.8% suffered; 86.1% in trial). CV mortality was not directly associated with a level of poverty (r=0.26, P=0.02) or socio-economic development (P>0.05) in regions. The documented 27% 10-year decline of CV mortality was interpreted as a success of the national policy. Mortality statistics show the stark reality of a high CV burden in Russia. New national program and aggressive emerging efforts are required to tackle CV diseases in Russia.

Dataset Information

Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium.

Publications

Opening up new horizons for psychiatric genetics in the Russian Federation: moving toward a national consortium.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure