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Invited researcher Inga Anatoliyevna Prokopenko
Time span of the project
General information

Name of the project: The development of high-performance computational tools for the complex analysis of multi-omics data and the evolvement of personalised medicine

Strategy for Scientific and Technological Development Priority Level: в
Goals and objectives

The project is aimed at the development of high-productivity computational tools for complex analysis of multi-omics data and the development of personalised medicine. To achieve this, we a planning to create a laboratory for statistical multi-omics at the Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences (IBG UFRC RAS). A high-performance computing cluster and an open online platform for data collection and analysis will also be created. The research will be conducted using existing biological samples and phenotypic data of the IBG UFRC RAS that is a centre for deposition and storage of unique gene banks of the DNAs of   aboriginal inhabitants of various regions of Russia as well as of patients with various diseases and their family members.

We are also planning to expand the biological collection of the IBG UFRC RAS by adding of a deeply phenotyped set. Additionally, the laboratory is planning to conduct a full-genome genotyping for the study of the molecular mechanisms underlying the formation of complex characteristics, including cardiometabolic features, the individual psychological profile (inclination to aggressive behaviour and depression), and sporting characteristics.

To this end, we will use methods of multi-phenotype analysis that were developed under the supervision of Inga Prokopenko and tested using major databases of genotype and clinical data, such as «UK Biobank».

The practical value of the study

As a result of the implementation of the project, we will obtain new data on the biological mechanisms of formation of complex features, as well as determine informative predictors of socially important diseases that comprise a continuum, including cardiovascular diseases (arterial hypertension, myocardial infarction), metabolic (type 2 diabetes, obesity, metabolic syndrome, osteoporosis), respiratory diseases (bronchial asthma, chronic obstructive pulmonary disease), various types of cancer.

Apart from that, after the implementation of the project, we will create an online platform for the collection and analysis of multi-omics data, including deep phenotyping data, genome, epitome, methylome, microbiome data, as well as a cluster platform allowing to analyse big data. As a result of the implementation of the project, we will obtain data that will not only broaden our perception of the pathophysiological processes underpinning the formation of complex features both in the norm and in pathology, but will also serve as a basis for the creation of new methods of diagnostics and approaches to targeted therapy.

The completion of works within the project will lead to the creation of an infrastructure that will allow to conduct in-depth genetic research using multi-ethnic Russian sample sets.

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