{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:58:26Z","timestamp":1728176306375},"reference-count":49,"publisher":"Walter de Gruyter GmbH","issue":"4","license":[{"start":{"date-parts":[[2018,12,1]],"date-time":"2018-12-01T00:00:00Z","timestamp":1543622400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,12,19]]},"abstract":"Abstract<\/jats:title>\n Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KEGG networks are used. ANDSystem allows reconstructing associative gene networks, which include more than 20 types of interactions, including protein-protein interactions, expression regulation, transport, catalysis, etc. In this work, a set of genes has been prioritized to find genes potentially involved in asthma and hypertension comorbidity. The prioritization was carried out using well-known methods (ToppGene and Endeavor) and a cross-talk centrality criterion, calculated by analysis of associative gene networks from ANDSystem. The identified genes, including IL1A, CD40LG, STAT3, IL15, FAS, APP, TLR2, C3, IL13 and CXCL10, may be involved in the molecular mechanisms of comorbid asthma\/hypertension. An analysis of the dynamics of the frequency of mentioning the most priority genes in scientific publications revealed that the top 100 priority genes are significantly enriched with genes with increased positive dynamics, which may be a positive sign for further studies of these genes.<\/jats:p>","DOI":"10.1515\/jib-2018-0054","type":"journal-article","created":{"date-parts":[[2019,1,8]],"date-time":"2019-01-08T09:04:00Z","timestamp":1546938240000},"source":"Crossref","is-referenced-by-count":12,"title":["Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature"],"prefix":"10.1515","volume":"15","author":[{"given":"Olga V.","family":"Saik","sequence":"first","affiliation":[{"name":"Institute of Cytology and Genetics, Siberian Branch , Russian Academy of Sciences , Novosibirsk , Russia"}]},{"given":"Pavel S.","family":"Demenkov","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics, Siberian Branch , Russian Academy of Sciences , Novosibirsk , Russia"}]},{"given":"Timofey V.","family":"Ivanisenko","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics, Siberian Branch , Russian Academy of Sciences , Novosibirsk , Russia"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-1103-3073","authenticated-orcid":false,"given":"Elena Yu.","family":"Bragina","sequence":"additional","affiliation":[{"name":"Research Institute of Medical Genetics, Tomsk NRMC , Tomsk , Russia"}]},{"given":"Maxim B.","family":"Freidin","sequence":"additional","affiliation":[{"name":"Research Institute of Medical Genetics, Tomsk NRMC , Tomsk , Russia"}]},{"given":"Victor E.","family":"Dosenko","sequence":"additional","affiliation":[{"name":"Bogomoletz Institute of Physiology, National Academy of Science , Kiev , Ukraine"}]},{"given":"Olga I.","family":"Zolotareva","sequence":"additional","affiliation":[{"name":"Bielefeld University , International Research Training Group \u201cComputational Methods for the Analysis of the Diversity and Dynamics of Genomes\u201d , Bielefeld , Germany"}]},{"given":"Evgeniy L.","family":"Choynzonov","sequence":"additional","affiliation":[{"name":"Tomsk National Research Medical Center , Russian Academy of Sciences , Tomsk , Russia"}]},{"given":"Ralf","family":"Hofestaedt","sequence":"additional","affiliation":[{"name":"Bielefeld University , Technical Faculty, AG Bioinformatics and Medical Informatics , Bielefeld , Germany"}]},{"given":"Vladimir A.","family":"Ivanisenko","sequence":"additional","affiliation":[{"name":"Institute of Cytology and Genetics, Siberian Branch , Russian Academy of Sciences , Novosibirsk , Russia"}]}],"member":"374","published-online":{"date-parts":[[2018,12,25]]},"reference":[{"key":"2023033120003910894_j_jib-2018-0054_ref_001_w2aab3b7b7b1b6b1ab1b6b1Aa","doi-asserted-by":"crossref","unstructured":"Lim TK, Ko FW, Benton MJ, Berge MV, Mak J. 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