123 research outputs found
Genesis and Prospects of Higher Insurance Education Development in Russia
The article discusses the history and stages of development of insurance education in Russia in comparison with the development of the insurance market in 1990β2020, determines the prospects and conditions for development of insurance education. The internal and external factors that influenced the direction and rate of the market of educational services development in the field of insurance are highlighted, the reasons for the creation and liquidation of specialized departments in Russian universities are analyzed.Β Based on the analysis of the Russian insurance market in 1990-2020, an understanding of the real and reported indicators of the insurance market is being formed, the differences in which caused at the first stage the creation of a significant number of insurance departments in Russian universities, not supported by a real need for specialists, and then the liquidation of the departments with the loss of the already established competencies for training insurance specialists. In the late 2010s, the modernization processes in the requirements for insurance organizations took place, the financial stability and solvency standards were being raised, mandatory actuarial valuation and new forms of financial reporting were being introduced that required specialized knowledge, basic and professional standards were being developed and adopted with the participation of self-regulatory organizations of insurers. All of that actualized the activities of specialized insurance departments based on the integration of professional requirements fixed in professional and basic standards, and educational standards, which should allow the implementation of economically successful undergraduate and masterβs programs.The history of insurance departments in modern Russia may be of interest to researchers of the history of education in modern Russia, the origins and causes of the current state of the educational services market, periods of growth and decline in the number of active players. Based on the analysis of archival and current insurance development strategies, the article highlights the adopted basic and professional standards, prospects for the development of insurance departments, gives recommendations for interaction with professional participants of the insurance market. The revealed trends are also typical for other highly professional departments
Tick-Borne Encephalitis with Hemorrhagic Syndrome, Novosibirsk Region, Russia, 1999
Eight fatal cases of tick-borne encephalitis with unusual hemorrhagic syndrome were identified in 1999 in the Novosibirsk Region, Russia. To study these strains, we sequenced cDNA fragments of protein E gene from six archival formalin-fixed brain samples. Phylogenetic analysis showed tick-borne encephalitis variants clustered with a Far Eastern subtype (homology 94.7%) but not with the Siberian subtype (82%)
Tickborne rickettsiosis in children of the Irkutsk region over five epidemic seasons
The article discusses the clinical and laboratory characteristics of tick-borne rickettsiosis in children in the Irkutsk region on the results of the retrospective study of 65 patients admitted to the Regional Infectious Hospital over the period of five consecutive epidemic seasons. It has been found that among hospitalized children with tick-borne rickettsiosis dominating proportion (64.6 %) is of rural residents (mean age - 5years old). The main clinical symptoms in children borne rickettsiosis were rash (96.9 %) and fever (96.9 %), which in one third of observations associated with lymphadenopathy (38.5%). About one third of patients (30.8 %) had pronounced symptoms of intoxication. It has been noted that the laboratory diagnosis of tick-borne rickettsiosis needs to be improved: DGC reaction should replace ELISA detection of specific immunoglobulin M in the blood in combination with PCR for genetic identification of rickettsiae. The development of emergency preventive treatment of tick-borne rickettsiosis is required, taking into account the sensitivity of rickettsiae to antibiotics. All children with tick-borne rickettsial diseases were provided with timely and effective treatment, with favorable prognosis
COMPARATIVE ANALYSIS OF CRISPR-CAS SYSTEM STRUCTURES OF YERSINIA PSEUDOTUBERCULOSIS IP32953 AND IP31758
Background. Pseudotuberculosis is still relevant problem in medical science and public health of Russia and other countries. Typing of Y. Ρseudotuberculosis strains by their CRISPR systems is a perspective tool for monitoring of Yersinia populations as was shown in Y. pestis.Aims. Here we describe and compare CRISPR-Cas systems of Yersinia pseudotuberculosis strains IP32953 and IP31758 causing classic pseudotuberculosis and Far-East scarlet-like fever (FESLF) respectively.Materials and methods. Complete genomes of Y. pseudotuberculosis IP329353 and IP31758 (NC_006155 and NC_009708 respectively) were obtained from NCBI Nucleotide Database. Search; identification; and analysis of CRISPR systems were carried out by online-tools CRISPROne; CRISPRDetect; and CRISPRTarget.Results and discussion. Analyzed strains have CRISPR-Cas systems that include one set of cas-genes and arrays situated at the long distances from each other. We defined three CRISPR arrays in Y. pseudotuberculosis IP32953 by the combination of program methods. CRISPR-Cas system of this strain consist of array YP1 located near cas-genes; arrays YP2 and YP3. CRISPR-Cas system of Y. pseudotuberculosis IP31758 includes two arrays β YP1 and YP3. CRISPR systems do not share similar spacers. CRISPR systems of the analyzed strains differ in CRISPR loci and cas-protein structures that can be used as specific marks of analyzed strains.Conclusions. We suggest that acquisition of certain spacers may play a role in evolution and divergence of Y. pseudotuberculosis strains
Bioinformational analysis of Yersinia pseudotuberculosis IP32953 CRISPR/cas system
The results of this study include Yersinia pseudotuberculosis CRISPR/Cas system structure analysis. CRISPR/Cas system is a specific adaptive protection against heterogeneous genetic elements. The object of research was the complete genome of Y. pseudotuberculosis IP32953 (NC_006155). CRISPR/Cas system screening was performed by program modelling methods MacSyFinder ver. 1.0.2. CRISPR loci screening and analyzing were carried out by program package: CRISPR Recognition tool (CRT), CR1SP1: a CRISPR Interactive database, CRISPRFinder, and PilerCR. Spacer sequences were used in order to find protospacers in ACLAME, GenBank-Phage and RefSeq-Plasmid databases by BLASTn search algorithm. Protospacer sequences could be found in genomes of phages, plasmids and bacteria. In last case complete genomes of bacteria were analyzed by online-tool PHAST: PHAge Search Tool. Y. pseudotuberculosis IP329353 has CRISPR/Cas system that consists of one sequence of cas-genes and three loci. These loci are far away from each other. Locus YP1 is situated in close proximity to cas-genes. Protospacers were found in genomes of Y. pseudotuberculosis PB1/+, Y. intermedia Y228, Y. similis str. 228, Salmonella phage, Enterobacteria phage, Y. pseudotuberculosis 1P32953 plasmid pYV and plasmid of Y. pseudotuberculosis 1P31758. Thus, the combination of four program methods allows finding CRISPR/Cas system more precisely. Spacer sequences could be used for protospacer screening
QM/MM description of newly selected catalytic bioscavengers against organophosphorus compounds revealed reactivation stimulus mediated by histidine residue in the acyl-binding loop
Β© 2018 Zlobin, Mokrushina, Terekhov, Zalevsky, Bobik, Stepanova, Aliseychik, Kartseva, Panteleev, Golovin, Belogurov, Gabibov and Smirnov. Butyrylcholinesterase (BChE) is considered as an efficient stoichiometric antidote against organophosphorus (OP) poisons. Recently we utilized combination of calculations and ultrahigh-throughput screening (uHTS) to select BChE variants capable of catalytic destruction of OP pesticide paraoxon. The purpose of this study was to elucidate the molecular mechanism underlying enzymatic hydrolysis of paraoxon by BChE variants using hybrid quantum mechanical/molecular mechanical (QM/MM) calculations. Detailed analysis of accomplished QM/MM runs revealed that histidine residues introduced into the acyl-binding loop are always located in close proximity with aspartate residue at position 70. Histidine residue acts as general base thus leading to attacking water molecule activation and subsequent SN2 inline hydrolysis resulting in BChE reactivation. This combination resembles canonical catalytic triad found in active centers of various proteases. Carboxyl group activates histidine residue by altering its pKa, which in turn promotes the activation of water molecule in terms of its nucleophilicity. Observed re-protonation of catalytic serine residue at position 198 from histidine residue at position 438 recovers initial configuration of the enzyme's active center, facilitating next catalytic cycle. We therefore suggest that utilization of uHTS platform in combination with deciphering of molecular mechanisms by QM/MM calculations may significantly improve our knowledge of enzyme function, propose new strategies for enzyme design and open new horizons in generation of catalytic bioscavengers against OP poisons
The GWAS-MAP|ovis platform for aggregation and analysis of genome-wide association study results in sheep.
peer reviewedIn recent years, the number of genome-wide association studies (GWAS) carried out for various economically important animal traits has been increasing. GWAS discoveries provide summary statistics that can be used both for targeted marker-oriented selection and for studying the genetic control of economically important traits of farm animals. In contrast to research in human genetics, GWAS on farm animals often does not meet generally accepted standards (availability of information about effect and reference alleles, the size and direction of the effect, etc.). This greatly complicates the use of GWAS results for breeding needs. Within the framework of human genetics, there are several technological solutions for researching the harmonized results of GWAS, including one of the largest, the GWAS-MAP platform. For other types of living organisms, including economically important agricultural animals, there are no similar solutions. To our knowledge, no similar solution has been proposed to date for any of the species of economically important animals. As part of this work, we focused on creating a platform similar to GWAS-MAP for working with the results of GWAS of sheep, since sheep breeding is one of the most important branches of agriculture. By analogy with the GWAS-MAP platform for storing, unifying and analyzing human GWAS, we have created the GWAS-MAP|ovis platform. The platform currently contains information on more than 34 million associations between genomic sequence variants and traits of meat production in sheep. The platform can also be used to conduct colocalization analysis, a method that allows one to determine whether the association of a particular locus with two different traits is the result of pleiotropy or whether these traits are associated with different variants that are in linkage disequilibrium. This platform will be useful for breeders to select promising markers for breeding, as well as to obtain information for the introduction of genomic breeding and for scientists to replicate the results obtained.Π ΠΏΠΎΡΠ»Π΅Π΄Π½ΠΈΠ΅ Π³ΠΎΠ΄Ρ ΡΠ²Π΅Π»ΠΈΡΠΈΠ²Π°Π΅ΡΡΡ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΏΠΎΠ»Π½ΠΎΠ³Π΅Π½ΠΎΠΌΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΠΉ (ΠΠΠΠ, GWAS), ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΡ
Π΄Π»Ρ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΠΏΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ Π² Π²ΠΈΠ΄Π΅ ΡΡΠΌΠΌΠ°ΡΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΠΊ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠΆΠ½ΠΎ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΡ Π΄Π»Ρ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ Π³Π΅Π½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠΎΠ½ΡΡΠΎΠ»Ρ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΈ ΠΏΡΠΈ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊ ΠΌΠ°ΡΠΊΠ΅Ρ-ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ²Π°Π½Π½ΠΎΠΉ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ. Π Π±ΠΎΠ»ΡΡΠΈΠ½ΡΡΠ²Π΅ ΡΠ»ΡΡΠ°Π΅Π² ΠΠΠΠ ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
Π½Π΅ ΡΠΎΠΎΡΠ²Π΅ΡΡΡΠ²ΡΡΡ ΠΎΠ±ΡΠ΅ΠΏΡΠΈΠ½ΡΡΡΠΌ Π² ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π³Π΅Π½Π΅ΡΠΈΠΊΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΡΡΠ°Π½Π΄Π°ΡΡΠ°ΠΌ ΡΠΎΡΠΌΠ°ΡΠ° ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΠΠΠ Π² Π²ΠΈΠ΄Π΅ ΡΡΠΌΠΌΠ°ΡΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΠΊ (Π½Π°Π»ΠΈΡΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΎΠ± ΡΡΡΠ΅ΠΊΡΠΎΡΠ½ΠΎΠΌ ΠΈ ΡΠ΅ΡΠ΅ΡΠ΅Π½ΡΠ½ΠΎΠΌ Π°Π»Π»Π΅Π»ΡΡ
, Π·Π½Π°ΡΠ΅Π½ΠΈΠ΅ ΠΈ Π½Π°ΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅ ΡΡΡΠ΅ΠΊΡΠ° ΠΈ Π΄Ρ.). ΠΡΠΎ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π·Π°ΡΡΡΠ΄Π½ΡΠ΅Ρ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΠ΅ ΡΡΠΌΠΌΠ°ΡΠ½ΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΠΊ Π΄Π»Ρ Π½ΡΠΆΠ΄ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ. Π ΠΎΠ±Π»Π°ΡΡΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ Π³Π΅Π½Π΅ΡΠΈΠΊΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΈΠΌΠ΅Π΅ΡΡΡ Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠΈΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π΄Π»Ρ Π°Π½Π°Π»ΠΈΠ·Π° ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠ² ΠΠΠΠ, Π² ΡΠΎΠΌ ΡΠΈΡΠ»Π΅ ΠΎΠ΄Π½ΠΎ ΠΈΠ· ΡΠ°ΠΌΡΡ
ΠΊΡΡΠΏΠ½ΡΡ
β ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ° GWAS-MAP. ΠΠ»Ρ Π΄ΡΡΠ³ΠΈΡ
Π²ΠΈΠ΄ΠΎΠ² ΠΆΠΈΠ²ΡΡ
ΠΎΡΠ³Π°Π½ΠΈΠ·ΠΌΠΎΠ², Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΡ
ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈ Π²Π°ΠΆΠ½ΡΡ
ΡΠ΅Π»ΡΡΠΊΠΎΡ
ΠΎΠ·ΡΠΉΡΡΠ²Π΅Π½Π½ΡΡ
ΠΆΠΈΠ²ΠΎΡΠ½ΡΡ
, ΠΏΠΎΠ΄ΠΎΠ±Π½ΡΡ
ΡΠ΅ΡΠ΅Π½ΠΈΠΉ Π½Π΅Ρ. Π Π½Π°ΡΡΠΎΡΡΠ΅ΠΉ ΡΠ°Π±ΠΎΡΠ΅ ΠΌΡ ΡΡΠΎΠΊΡΡΠΈΡΠΎΠ²Π°Π»ΠΈΡΡ Π½Π° ΡΠΎΠ·Π΄Π°Π½ΠΈΠΈ ΡΡ
ΠΎΠΆΠ΅ΠΉ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ Π΄Π»Ρ ΡΠ°Π±ΠΎΡΡ Ρ ΡΡΠΌΠΌΠ°ΡΠ½ΡΠΌΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ°ΠΌΠΈ ΠΠΠΠ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΏΡΠΈΠ·Π½Π°ΠΊΠΎΠ² ΠΎΠ²Π΅Ρ, ΡΠ°ΠΊ ΠΊΠ°ΠΊ ΠΎΠ²ΡΠ΅Π²ΠΎΠ΄ΡΡΠ²ΠΎ Π² ΠΏΠΎΡΠ»Π΅Π΄Π½Π΅Π΅ Π²ΡΠ΅ΠΌΡ ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ Π²ΡΠ΅ Π±ΠΎΠ»Π΅Π΅ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΡΡ ΡΠ΅Π»ΡΡΠΊΠΎΠ³ΠΎ Ρ
ΠΎΠ·ΡΠΉΡΡΠ²Π°. ΠΠΎ Π°Π½Π°Π»ΠΎΠ³ΠΈΠΈ Ρ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠΎΠΉ GWAS-MAP Π΄Π»Ρ Ρ
ΡΠ°Π½Π΅Π½ΠΈΡ, ΡΠ½ΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ Π°Π½Π°Π»ΠΈΠ·Π° GWAS ΡΠ΅Π»ΠΎΠ²Π΅ΠΊΠ° ΠΌΡ ΡΠΎΠ·Π΄Π°Π»ΠΈ ΠΏΠ»Π°ΡΡΠΎΡΠΌΡ GWAS-MAP|ovis. ΠΠ° ΡΠ΅Π³ΠΎΠ΄Π½ΡΡΠ½ΠΈΠΉ Π΄Π΅Π½Ρ ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ° ΡΠΎΠ΄Π΅ΡΠΆΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΡ ΠΎ Π±ΠΎΠ»Π΅Π΅ ΡΠ΅ΠΌ 34 ΠΌΠ»Π½ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΠΉ ΠΌΠ΅ΠΆΠ΄Ρ Π²Π°ΡΠΈΠ°Π½ΡΠ°ΠΌΠΈ Π³Π΅Π½ΠΎΠΌΠ½ΠΎΠΉ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΠΈ ΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΠΌΡΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ΄ΡΠΊΡΠΈΠ²Π½ΠΎΡΡΠΈ. ΠΠ»Π°ΡΡΠΎΡΠΌΠ° ΠΌΠΎΠΆΠ΅Ρ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Π° ΠΈ Π΄Π»Ρ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΠΎΠ»ΠΎΠΊΠ°Π»ΠΈΠ·Π°ΡΠΈΠΈ β ΠΌΠ΅ΡΠΎΠ΄Π°, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΠ΅Ρ ΡΡΡΠ°Π½ΠΎΠ²ΠΈΡΡ, ΡΠ²Π»ΡΠ΅ΡΡΡ Π»ΠΈ Π°ΡΡΠΎΡΠΈΠ°ΡΠΈΡ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Π½ΠΎΠ³ΠΎ Π»ΠΎΠΊΡΡΠ° Ρ Π΄Π²ΡΠΌΡ ΡΠ°Π·Π½ΡΠΌΠΈ ΠΏΡΠΈΠ·Π½Π°ΠΊΠ°ΠΌΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΠΎΠΌ ΠΏΠ»Π΅ΠΉΠΎΡΡΠΎΠΏΠΈΠΈ ΠΈΠ»ΠΈ ΠΆΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ Π°ΡΡΠΎΡΠΈΠΈΡΠΎΠ²Π°Π½Ρ Ρ ΡΠ°Π·Π½ΡΠΌΠΈ Π²Π°ΡΠΈΠ°Π½ΡΠ°ΠΌΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½Π°Ρ
ΠΎΠ΄ΡΡΡΡ Π² Π½Π΅ΡΠ°Π²Π½ΠΎΠ²Π΅ΡΠΈΠΈ ΠΏΠΎ ΡΡΠ΅ΠΏΠ»Π΅Π½ΠΈΡ. ΠΡΠ° ΠΏΠ»Π°ΡΡΠΎΡΠΌΠ° Π±ΡΠ΄Π΅Ρ ΠΏΠΎΠ»Π΅Π·Π½Π° ΠΊΠ°ΠΊ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΎΠ½Π΅ΡΠ°ΠΌ Π΄Π»Ρ Π²ΡΠ±ΠΎΡΠ° ΠΏΠ΅ΡΡΠΏΠ΅ΠΊΡΠΈΠ²Π½ΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ² Π΄Π»Ρ ΡΠ΅Π»Π΅ΠΊΡΠΈΠΈ (ΡΡΡΠ΅ΠΊΡΡ ΠΈ Π°Π»Π»Π΅Π»ΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΠΌΠ°ΡΠΊΠ΅ΡΠΎΠ², Π²Π»ΠΈΡΡΡΠΈΡ
Π½Π° ΠΈΠ·ΡΡΠ°Π΅ΠΌΡΠ΅ ΠΏΡΠΈΠ·Π½Π°ΠΊΠΈ), ΡΠ°ΠΊ ΠΈ Π΄Π»Ρ ΡΡΠ΅Π½ΡΡ
, Π²Π΅Π΄ΡΡΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Π³Π΅Π½Π΅ΡΠΈΠΊΠΈ ΠΎΠ²Π΅Ρ
The GWAS-MAP|ovis platform for aggregation and analysis of genome-wide association study results in sheep
In recent years, the number of genome-wide association studies (GWAS) carried out for various economically important animal traits has been increasing. GWAS discoveries provide summary statistics that can be used both for targeted marker-oriented selection and for studying the genetic control of economically important traits of farm animals. In contrast to research in human genetics, GWAS on farm animals often does not meet generally accepted standards (availability of information about effect and reference alleles, the size and direction of the effect, etc.). This greatly complicates the use of GWAS results for breeding needs. Within the framework of human genetics, there are several technological solutions for researching the harmonized results of GWAS, including one of the largest, the GWAS-MAP platform. For other types of living organisms, including economically important agricultural animals, there are no similar solutions. To our knowledge, no similar solution has been proposed to date for any of the species of economically important animals. As part of this work, we focused on creating a platform similar to GWAS-MAP for working with the results of GWAS of sheep, since sheep breeding is one of the most important branches of agriculture. By analogy with the GWAS-MAP platform for storing, unifying and analyzing human GWAS, we have created the GWAS-MAP|ovis platform. The platform currently contains information on more than 34 million associations between genomic sequence variants and traits of meat production in sheep. The platform can also be used to conduct colocalization analysis, a method that allows one to determine whether the association of a particular locus with two different traits is the result of pleiotropy or whether these traits are associated with different variants that are in linkage disequilibrium. This platform will be useful for breeders to select promising markers for breeding, as well as to obtain information for the introduction of genomic breeding and for scientists to replicate the results obtained
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