title: How to Use SNP_TATA_Comparator to Find a Significant Change in Gene Expression Caused by the Regulatory SNP of This Gene's Promoter via a Change in Affinity of the TATA-Binding Protein for This Promoter.
abstract: The use of biomedical SNP markers of diseases can improve effectiveness of treatment. Genotyping of patients with subsequent searching for SNPs more frequent than in norm is the only commonly accepted method for identification of SNP markers within the framework of translational research. The bioinformatics applications aimed at millions of unannotated SNPs of the "1000 Genomes" can make this search for SNP markers more focused and less expensive. We used our Web service involving Fisher's Z-score for candidate SNP markers to find a significant change in a gene's expression. Here we analyzed the change caused by SNPs in the gene's promoter via a change in affinity of the TATA-binding protein for this promoter. We provide examples and discuss how to use this bioinformatics application in the course of practical analysis of unannotated SNPs from the "1000 Genomes" project. Using known biomedical SNP markers, we identified 17 novel candidate SNP markers nearby: rs549858786 (rheumatoid arthritis); rs72661131 (cardiovascular events in rheumatoid arthritis); rs562962093 (stroke); rs563558831 (cyclophosphamide bioactivation); rs55878706 (malaria resistance, leukopenia), rs572527200 (asthma, systemic sclerosis, and psoriasis), rs371045754 (hemophilia B), rs587745372 (cardiovascular events); rs372329931, rs200209906, rs367732974, and rs549591993 (all four: cancer); rs17231520 and rs569033466 (both: atherosclerosis); rs63750953, rs281864525, and rs34166473 (all three: malaria resistance, thalassemia).
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia ; Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia.
authors.forename: Mikhail
authors.initials: M
authors.lastname: Ponomarenko
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia.
authors.forename: Dmitry
authors.initials: D
authors.lastname: Rasskazov
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia.
authors.forename: Olga
authors.initials: O
authors.lastname: Arkova
authors.affiliation: Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA 90027, USA.
authors.forename: Petr
authors.initials: P
authors.lastname: Ponomarenko
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia.
authors.forename: Valentin
authors.initials: V
authors.lastname: Suslov
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia.
authors.forename: Ludmila
authors.initials: L
authors.lastname: Savinkova
authors.affiliation: Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk 630090, Russia ; Department of Natural Sciences, Novosibirsk State University, Novosibirsk 630090, Russia.
authors.forename: Nikolay
authors.initials: N
authors.lastname: Kolchanov
mesh_terms: D000465:Algorithms; D001665:Binding Sites; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D005819:Genetic Markers; D020022:Genetic Predisposition to Disease; D015894:Genome, Human; D005838:Genotype; D006801:Humans; D020407:Internet; D020641:Polymorphism, Single Nucleotide; D057285:Precision Medicine / Q000379:methods; D011401:Promoter Regions, Genetic; D012984:Software; D035181:TATA-Box Binding Protein / Q000235:genetics*
chemical_list: D005819:Genetic Markers; D035181:TATA-Box Binding Protein