Katalog Plus
Bibliothek der Frankfurt UAS
Bald neuer Katalog: sichern Sie sich schon vorab Ihre persönlichen Merklisten im Nutzerkonto: Anleitung.
Dieses Ergebnis aus MEDLINE kann Gästen nicht angezeigt werden.  Login für vollen Zugriff.

Annotation of uORFs in the OMIM genes allows to reveal pathogenic variants in 5'UTRs.

Title: Annotation of uORFs in the OMIM genes allows to reveal pathogenic variants in 5'UTRs.
Authors: Filatova A; Research Centre for Medical Genetics, Moscow, Russia.; Reveguk I; Laboratoire de Biologie Structurale de la Cellule, École Polytechnique, Paris, France.; Piatkova M; Institute of Chemistry, Far Eastern Branch of the Russian Academy of Sciences, Vladivostok, Russia.; Institute of high technologies and advanced materials, Far Eastern Federal University, Vladivostok, Russia.; Bessonova D; Medical Center, Far Eastern Federal University, Vladivostok, Russia.; Kuziakova O; Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia.; Demakova V; Medical Center, Far Eastern Federal University, Vladivostok, Russia.; Romanishin A; Institute of Life Sciences and Biomedicine, Far Eastern Federal University, Vladivostok, Russia.; Institute of Life Sciences, Immanuel Kant Baltic Federal University, Kaliningrad, Russia.; Fishman V; Artificial Intelligence Research Institute, Moscow, Russia.; Molecular Mechanisms of Ontogenesis, Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia.; Imanmalik Y; Artificial Intelligence Research Institute, Moscow, Russia.; Chekanov N; Artificial Intelligence Research Institute, Moscow, Russia.; Skitchenko R; Computer Technologies Laboratory, ITMO University, Saint Petersburg, Russia.; Barbitoff Y; Bioinformatics Institute, St. Petersburg, Russia.; Department of Genomic Medicine, D.O. Ott Research Institute of Obstetrics, Gynaecology, and Reproductology, St. Petersburg, Russia.; Dpt. of Genetics and Biotechnology, St. Petersburg State University, St. Petersburg, Russia.; Kardymon O; Artificial Intelligence Research Institute, Moscow, Russia.; Skoblov M; Research Centre for Medical Genetics, Moscow, Russia.
Source: Nucleic acids research [Nucleic Acids Res] 2023 Feb 22; Vol. 51 (3), pp. 1229-1244.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Language: English
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium: Internet ISSN: 1362-4962 (Electronic) Linking ISSN: 03051048 NLM ISO Abbreviation: Nucleic Acids Res Subsets: MEDLINE
Imprint Name(s): Publication: 1992- : Oxford : Oxford University Press; Original Publication: London, Information Retrieval ltd.
MeSH Terms: Disease*/genetics ; 5' Untranslated Regions* ; Databases, Genetic* ; Open Reading Frames*; Humans ; Protein Biosynthesis
Abstract: An increasing number of studies emphasize the role of non-coding variants in the development of hereditary diseases. However, the interpretation of such variants in clinical genetic testing still remains a critical challenge due to poor knowledge of their pathogenicity mechanisms. It was previously shown that variants in 5'-untranslated regions (5'UTRs) can lead to hereditary diseases due to disruption of upstream open reading frames (uORFs). Here, we performed a manual annotation of upstream translation initiation sites (TISs) in human disease-associated genes from the OMIM database and revealed ∼4.7 thousand of TISs related to uORFs. We compared our TISs with the previous studies and provided a list of 'high confidence' uORFs. Using a luciferase assay, we experimentally validated the translation of uORFs in the ETFDH, PAX9, MAST1, HTT, TTN,GLI2 and COL2A1 genes, as well as existence of N-terminal CDS extension in the ZIC2 gene. Besides, we created a tool to annotate the effects of genetic variants located in uORFs. We revealed the variants from the HGMD and ClinVar databases that disrupt uORFs and thereby could lead to Mendelian disorders. We also showed that the distribution of uORFs-affecting variants differs between pathogenic and population variants. Finally, drawing on manually curated data, we developed a machine-learning algorithm that allows us to predict the TISs in other human genes.; (© The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research.)
References: Proc Natl Acad Sci U S A. 2003 Nov 11;100(23):13424-9. (PMID: 14581620); J Biol Chem. 2016 Aug 12;291(33):16927-35. (PMID: 27358398); Genome Biol. 2015 Jan 05;16:22. (PMID: 25723102); Nucleic Acids Res. 2018 Jan 4;46(D1):D823-D830. (PMID: 28977460); PLoS One. 2014 Sep 23;9(9):e108475. (PMID: 25248153); Nucleic Acids Res. 2019 Jan 8;47(D1):D135-D139. (PMID: 30371849); Bioinformatics. 2021 Feb 04;:. (PMID: 33538820); Genome Res. 2018 Jan;28(1):25-36. (PMID: 29162641); Hum Mutat. 2021 Aug;42(8):1053-1065. (PMID: 34174135); Nat Biotechnol. 2022 Jul;40(7):994-999. (PMID: 35831657); Nat Methods. 2021 Oct;18(10):1196-1203. (PMID: 34608324); Mol Syndromol. 2019 Feb;10(1-2):40-47. (PMID: 30976278); Nat Genet. 2009 Feb;41(2):228-33. (PMID: 19122663); PLoS One. 2019 Sep 12;14(9):e0222459. (PMID: 31513641); Am J Hum Genet. 2021 Jun 3;108(6):1083-1094. (PMID: 34022131); Mol Cell. 2018 Feb 15;69(4):636-647.e7. (PMID: 29429926); Genome Res. 2012 Nov;22(11):2208-18. (PMID: 22879431); Nucleic Acids Res. 2018 Apr 20;46(7):3326-3338. (PMID: 29562350); Nature. 2020 May;581(7809):434-443. (PMID: 32461654); Nucleic Acids Res. 2018 Jan 25;46(2):985-994. (PMID: 29228265); Nat Commun. 2020 May 27;11(1):2523. (PMID: 32461616); Nat Methods. 2015 Feb;12(2):147-53. (PMID: 25486063); Mol Genet Genomic Med. 2017 Mar 21;5(3):261-268. (PMID: 28546996); Elife. 2015 Dec 19;4:e08890. (PMID: 26687005); Nucleic Acids Res. 2021 Jun 21;49(11):6165-6180. (PMID: 34107020); Bioinformatics. 2021 May 23;37(8):1171-1173. (PMID: 32926138); Nature. 2021 Aug;596(7873):583-589. (PMID: 34265844); Comput Struct Biotechnol J. 2021 Mar 25;19:1750-1758. (PMID: 33897979); Proc Natl Acad Sci U S A. 2004 Aug 3;101(31):11269-74. (PMID: 15277680); Genome Res. 2020 Jul;30(7):974-984. (PMID: 32669370); Hum Genet. 2020 Oct;139(10):1197-1207. (PMID: 32596782); Proc Natl Acad Sci U S A. 2012 Sep 11;109(37):E2424-32. (PMID: 22927429); Hum Mutat. 2000;15(1):57-61. (PMID: 10612823); Sci Data. 2017 Aug 29;4:170112. (PMID: 28850106); Curr Protoc Bioinformatics. 2018 Jun;62(1):e50. (PMID: 29927076); BMC Bioinformatics. 2021 Jun 19;22(1):336. (PMID: 34147079); Nucleic Acids Res. 2019 Jan 8;47(D1):D847-D852. (PMID: 30239879); NPJ Genom Med. 2021 Jun 16;6(1):51. (PMID: 34135346); Sci Adv. 2021 Jul 28;7(31):. (PMID: 34321199); Nucleic Acids Res. 2022 Jan 25;50(2):1111-1127. (PMID: 35018467); Sci Rep. 2018 Feb 5;8(1):2395. (PMID: 29402903); Nat Struct Mol Biol. 2020 Sep;27(9):814-821. (PMID: 32719458); Nucleic Acids Res. 2006 Jan 1;34(Database issue):D655-8. (PMID: 16381952); Bioinformatics. 2010 Mar 15;26(6):841-2. (PMID: 20110278); PLoS Genet. 2013 Mar;9(3):e1003350. (PMID: 23555276); Elife. 2015 Jan 26;4:e03971. (PMID: 25621764); Nucleic Acids Res. 2018 Jan 4;46(D1):D1062-D1067. (PMID: 29165669); Methods Mol Biol. 2017;1498:375-383. (PMID: 27709590); Nat Commun. 2017 Jun 12;8:15824. (PMID: 28604674); Mol Genet Metab. 2013 Jun;109(2):154-60. (PMID: 23628458)
Substance Nomenclature: 0 (5' Untranslated Regions)
Entry Date(s): Date Created: 20230118 Date Completed: 20230228 Latest Revision: 20230228
Update Code: 20260130
PubMed Central ID: PMC9943669
DOI: 10.1093/nar/gkac1247
PMID: 36651276
Database: MEDLINE

Journal Article; Research Support, Non-U.S. Gov't