Prediction and assessment of splicing alterations: implications for clinical testing

Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods and in vitro assays. There is also a general agreement that a variant would invariably b...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Human mutation 2008-11, Vol.29 (11), p.1304-1313
Hauptverfasser: Spurdle, Amanda B, Couch, Fergus J, Hogervorst, Frans B.L, Radice, Paolo, Sinilnikova, Olga M
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1313
container_issue 11
container_start_page 1304
container_title Human mutation
container_volume 29
creator Spurdle, Amanda B
Couch, Fergus J
Hogervorst, Frans B.L
Radice, Paolo
Sinilnikova, Olga M
description Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods and in vitro assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting in vitro analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. To facilitate variant classification and development of more specific bioinformatic tools, we call for the deposition of all laboratory data from splicing analyses into national and international databases. Hum Mutat 29(11), 1304-1313, 2008.
doi_str_mv 10.1002/humu.20901
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2832470</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1776667694</sourcerecordid><originalsourceid>FETCH-LOGICAL-c5131-d64e4ca377d227ff4d569729fac20b767706482fbd8ed4d29253fc78a2913953</originalsourceid><addsrcrecordid>eNp9kctu1DAYhSMEohfY8ACQZYWU4vuFBRKqoEVMAYkZVWJjeXyZGpJ4aielffs6ZCiwYWX7-PuPj3yq6hkExxAA9Opy7MZjBCSAD6p9CKRoikweTnsqG84l2asOcv4OABCU4sfVHhSSQkLEfrX8kpwNZgixr3Vva52zy7lz_VBHX-dtG0zoN7VuB5f0ROXXdegmeT7VPqbatKEvQlsPLg8Ff1I98rrN7uluPayW798tT86axefTDydvF42hEMPGMuKI0ZhzixD3nljKJEfSa4PAmjPOASMC-bUVzhKLJKLYGy40khBLig-rN7Ptdlx3zpoSOulWbVPodLpVUQf1700fLtUmXiskMCIcFIOjnUGKV2PJrrqQjWtb3bs4ZgU5Z4xxJklBX86oSTHn5Pz9MxCoqQU1taB-tVDg538H-4Puvr0AcAZ-htbd_sdKna3OV79Nm3km5MHd3M_o9EMxjjlVF59O1flHhBlYfFMXhX8x815HpTcpZLX6iooRgJQyKiC-AxmDrMU</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1776667694</pqid></control><display><type>article</type><title>Prediction and assessment of splicing alterations: implications for clinical testing</title><source>MEDLINE</source><source>Wiley Online Library Journals Frontfile Complete</source><creator>Spurdle, Amanda B ; Couch, Fergus J ; Hogervorst, Frans B.L ; Radice, Paolo ; Sinilnikova, Olga M</creator><creatorcontrib>Spurdle, Amanda B ; Couch, Fergus J ; Hogervorst, Frans B.L ; Radice, Paolo ; Sinilnikova, Olga M ; IARC Unclassified Genetic Variants Working Group ; for the IARC Unclassified Genetic Variants Working Group</creatorcontrib><description>Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods and in vitro assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting in vitro analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. To facilitate variant classification and development of more specific bioinformatic tools, we call for the deposition of all laboratory data from splicing analyses into national and international databases. Hum Mutat 29(11), 1304-1313, 2008.</description><identifier>ISSN: 1059-7794</identifier><identifier>EISSN: 1098-1004</identifier><identifier>DOI: 10.1002/humu.20901</identifier><identifier>PMID: 18951448</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc., A Wiley Company</publisher><subject>Algorithms ; Alternative Splicing ; bioinformatic prediction ; cancer ; Codon, Nonsense ; Computational Biology - methods ; Genes, Neoplasm ; Genetic Predisposition to Disease ; Genetic Testing - methods ; Genetic Variation ; Humans ; oncology ; Sequence Deletion ; splicing ; unclassified variant</subject><ispartof>Human mutation, 2008-11, Vol.29 (11), p.1304-1313</ispartof><rights>2008 Wiley‐Liss, Inc.</rights><rights>2008 Wiley-Liss, Inc.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5131-d64e4ca377d227ff4d569729fac20b767706482fbd8ed4d29253fc78a2913953</citedby><cites>FETCH-LOGICAL-c5131-d64e4ca377d227ff4d569729fac20b767706482fbd8ed4d29253fc78a2913953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fhumu.20901$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fhumu.20901$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,780,784,885,1416,27915,27916,45565,45566</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18951448$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Spurdle, Amanda B</creatorcontrib><creatorcontrib>Couch, Fergus J</creatorcontrib><creatorcontrib>Hogervorst, Frans B.L</creatorcontrib><creatorcontrib>Radice, Paolo</creatorcontrib><creatorcontrib>Sinilnikova, Olga M</creatorcontrib><creatorcontrib>IARC Unclassified Genetic Variants Working Group</creatorcontrib><creatorcontrib>for the IARC Unclassified Genetic Variants Working Group</creatorcontrib><title>Prediction and assessment of splicing alterations: implications for clinical testing</title><title>Human mutation</title><addtitle>Hum. Mutat</addtitle><description>Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods and in vitro assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting in vitro analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. To facilitate variant classification and development of more specific bioinformatic tools, we call for the deposition of all laboratory data from splicing analyses into national and international databases. Hum Mutat 29(11), 1304-1313, 2008.</description><subject>Algorithms</subject><subject>Alternative Splicing</subject><subject>bioinformatic prediction</subject><subject>cancer</subject><subject>Codon, Nonsense</subject><subject>Computational Biology - methods</subject><subject>Genes, Neoplasm</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Testing - methods</subject><subject>Genetic Variation</subject><subject>Humans</subject><subject>oncology</subject><subject>Sequence Deletion</subject><subject>splicing</subject><subject>unclassified variant</subject><issn>1059-7794</issn><issn>1098-1004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kctu1DAYhSMEohfY8ACQZYWU4vuFBRKqoEVMAYkZVWJjeXyZGpJ4aielffs6ZCiwYWX7-PuPj3yq6hkExxAA9Opy7MZjBCSAD6p9CKRoikweTnsqG84l2asOcv4OABCU4sfVHhSSQkLEfrX8kpwNZgixr3Vva52zy7lz_VBHX-dtG0zoN7VuB5f0ROXXdegmeT7VPqbatKEvQlsPLg8Ff1I98rrN7uluPayW798tT86axefTDydvF42hEMPGMuKI0ZhzixD3nljKJEfSa4PAmjPOASMC-bUVzhKLJKLYGy40khBLig-rN7Ptdlx3zpoSOulWbVPodLpVUQf1700fLtUmXiskMCIcFIOjnUGKV2PJrrqQjWtb3bs4ZgU5Z4xxJklBX86oSTHn5Pz9MxCoqQU1taB-tVDg538H-4Puvr0AcAZ-htbd_sdKna3OV79Nm3km5MHd3M_o9EMxjjlVF59O1flHhBlYfFMXhX8x815HpTcpZLX6iooRgJQyKiC-AxmDrMU</recordid><startdate>200811</startdate><enddate>200811</enddate><creator>Spurdle, Amanda B</creator><creator>Couch, Fergus J</creator><creator>Hogervorst, Frans B.L</creator><creator>Radice, Paolo</creator><creator>Sinilnikova, Olga M</creator><general>Wiley Subscription Services, Inc., A Wiley Company</general><scope>FBQ</scope><scope>BSCLL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>5PM</scope></search><sort><creationdate>200811</creationdate><title>Prediction and assessment of splicing alterations: implications for clinical testing</title><author>Spurdle, Amanda B ; Couch, Fergus J ; Hogervorst, Frans B.L ; Radice, Paolo ; Sinilnikova, Olga M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5131-d64e4ca377d227ff4d569729fac20b767706482fbd8ed4d29253fc78a2913953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Alternative Splicing</topic><topic>bioinformatic prediction</topic><topic>cancer</topic><topic>Codon, Nonsense</topic><topic>Computational Biology - methods</topic><topic>Genes, Neoplasm</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Testing - methods</topic><topic>Genetic Variation</topic><topic>Humans</topic><topic>oncology</topic><topic>Sequence Deletion</topic><topic>splicing</topic><topic>unclassified variant</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Spurdle, Amanda B</creatorcontrib><creatorcontrib>Couch, Fergus J</creatorcontrib><creatorcontrib>Hogervorst, Frans B.L</creatorcontrib><creatorcontrib>Radice, Paolo</creatorcontrib><creatorcontrib>Sinilnikova, Olga M</creatorcontrib><creatorcontrib>IARC Unclassified Genetic Variants Working Group</creatorcontrib><creatorcontrib>for the IARC Unclassified Genetic Variants Working Group</creatorcontrib><collection>AGRIS</collection><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Human mutation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Spurdle, Amanda B</au><au>Couch, Fergus J</au><au>Hogervorst, Frans B.L</au><au>Radice, Paolo</au><au>Sinilnikova, Olga M</au><aucorp>IARC Unclassified Genetic Variants Working Group</aucorp><aucorp>for the IARC Unclassified Genetic Variants Working Group</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction and assessment of splicing alterations: implications for clinical testing</atitle><jtitle>Human mutation</jtitle><addtitle>Hum. Mutat</addtitle><date>2008-11</date><risdate>2008</risdate><volume>29</volume><issue>11</issue><spage>1304</spage><epage>1313</epage><pages>1304-1313</pages><issn>1059-7794</issn><eissn>1098-1004</eissn><abstract>Sequence variants that may result in splicing alterations are a particular class of inherited variants for which consequences can be more readily assessed, using a combination of bioinformatic prediction methods and in vitro assays. There is also a general agreement that a variant would invariably be considered pathogenic on the basis of convincing evidence that it results in transcript(s) carrying a premature stop codon or an in-frame deletion disrupting known functional domain(s). This commentary discusses current practices used to assess the clinical significance of this class of variants, provides suggestions to improve assessment, and highlights the issues involved in routine assessment of potential splicing aberrations. We conclude that classification of sequence variants that may alter splicing is greatly enhanced by supporting in vitro analysis. Additional studies that assess large numbers of variants for induction of splicing aberrations and exon skipping are needed to define the contribution of splicing/exon skipping to cancer and disease. These studies will also provide the impetus for development of algorithms that better predict splicing patterns. To facilitate variant classification and development of more specific bioinformatic tools, we call for the deposition of all laboratory data from splicing analyses into national and international databases. Hum Mutat 29(11), 1304-1313, 2008.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc., A Wiley Company</pub><pmid>18951448</pmid><doi>10.1002/humu.20901</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1059-7794
ispartof Human mutation, 2008-11, Vol.29 (11), p.1304-1313
issn 1059-7794
1098-1004
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_2832470
source MEDLINE; Wiley Online Library Journals Frontfile Complete
subjects Algorithms
Alternative Splicing
bioinformatic prediction
cancer
Codon, Nonsense
Computational Biology - methods
Genes, Neoplasm
Genetic Predisposition to Disease
Genetic Testing - methods
Genetic Variation
Humans
oncology
Sequence Deletion
splicing
unclassified variant
title Prediction and assessment of splicing alterations: implications for clinical testing
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T02%3A31%3A51IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Prediction%20and%20assessment%20of%20splicing%20alterations:%20implications%20for%20clinical%20testing&rft.jtitle=Human%20mutation&rft.au=Spurdle,%20Amanda%20B&rft.aucorp=IARC%20Unclassified%20Genetic%20Variants%20Working%20Group&rft.date=2008-11&rft.volume=29&rft.issue=11&rft.spage=1304&rft.epage=1313&rft.pages=1304-1313&rft.issn=1059-7794&rft.eissn=1098-1004&rft_id=info:doi/10.1002/humu.20901&rft_dat=%3Cproquest_pubme%3E1776667694%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1776667694&rft_id=info:pmid/18951448&rfr_iscdi=true