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Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice
Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determin...
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Published in: | Scientific reports 2016-06, Vol.6 (1), p.28417-28417, Article 28417 |
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creator | Árvai, Kristóf Horváth, Péter Balla, Bernadett Tobiás, Bálint Kató, Karina Kirschner, Gyöngyi Klujber, Valéria Lakatos, Péter Kósa, János P. |
description | Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determine the most significant osteogenesis imperfecta-related genetic variants in the clinical practice. We selected genes coding collagen type I alpha-1 and-2 (
COL1A1, COL1A2
) which are responsible for more than 90% of all cases.
CRTAP
and
LEPRE1/P3H1
genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in
COL1A1
and
COL1A2
, 5 in
CRTAP
and 4 in
LEPRE1
. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice. |
doi_str_mv | 10.1038/srep28417 |
format | article |
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COL1A1, COL1A2
) which are responsible for more than 90% of all cases.
CRTAP
and
LEPRE1/P3H1
genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in
COL1A1
and
COL1A2
, 5 in
CRTAP
and 4 in
LEPRE1
. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/srep28417</identifier><identifier>PMID: 27335225</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45 ; 45/41 ; 49 ; 49/23 ; 631/208/212/2301 ; 631/208/514/2254 ; Amino acids ; Clinical medicine ; Collagen ; Genes ; Genetic variance ; Genetics ; Humanities and Social Sciences ; multidisciplinary ; Mutation ; Proteins ; Science ; Science (multidisciplinary)</subject><ispartof>Scientific reports, 2016-06, Vol.6 (1), p.28417-28417, Article 28417</ispartof><rights>The Author(s) 2016</rights><rights>Copyright Nature Publishing Group Jun 2016</rights><rights>Copyright © 2016, Macmillan Publishers Limited 2016 Macmillan Publishers Limited</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c504t-a2e778697e47d5774870e422e92a5dbcb3201fb7e3abf0df12f0b4db22b7bcd03</citedby><cites>FETCH-LOGICAL-c504t-a2e778697e47d5774870e422e92a5dbcb3201fb7e3abf0df12f0b4db22b7bcd03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1800730094/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1800730094?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25752,27923,27924,37011,37012,44589,53790,53792,74897</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27335225$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Árvai, Kristóf</creatorcontrib><creatorcontrib>Horváth, Péter</creatorcontrib><creatorcontrib>Balla, Bernadett</creatorcontrib><creatorcontrib>Tobiás, Bálint</creatorcontrib><creatorcontrib>Kató, Karina</creatorcontrib><creatorcontrib>Kirschner, Gyöngyi</creatorcontrib><creatorcontrib>Klujber, Valéria</creatorcontrib><creatorcontrib>Lakatos, Péter</creatorcontrib><creatorcontrib>Kósa, János P.</creatorcontrib><title>Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determine the most significant osteogenesis imperfecta-related genetic variants in the clinical practice. We selected genes coding collagen type I alpha-1 and-2 (
COL1A1, COL1A2
) which are responsible for more than 90% of all cases.
CRTAP
and
LEPRE1/P3H1
genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in
COL1A1
and
COL1A2
, 5 in
CRTAP
and 4 in
LEPRE1
. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice.</description><subject>45</subject><subject>45/41</subject><subject>49</subject><subject>49/23</subject><subject>631/208/212/2301</subject><subject>631/208/514/2254</subject><subject>Amino acids</subject><subject>Clinical medicine</subject><subject>Collagen</subject><subject>Genes</subject><subject>Genetic variance</subject><subject>Genetics</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Mutation</subject><subject>Proteins</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNplkUFv1DAQhS0EolXpgT-AInEBpMB4YtfJBamqKCBVcIGzZTuTxVViB9tbwb_Hy5bVAr6M5ffpzXgeY085vObQ9W9yohV7wdUDdoogZIsd4sOj-wk7z_kW6pE4CD48Zieouk4iylOmP9GP0m4oUDLFx9Bk-r6l4HzYNHFqXFyW-hhzobiDss-NX1ZKE7li2kSzKTQ2v6XGh8bNPnhn5mZNxhXv6Al7NJk50_l9PWNfr999ufrQ3nx-__Hq8qZ1EkRpDZJS_cWgSKhRKiV6BSQQaUAjR-tsh8Anq6gzdoJx4jiBFaNFtMq6Eboz9nbvu27tQqOjUJKZ9Zr8YtJPHY3XfyvBf9ObeKfFwFUvsBq8uDdIsW4gF7347GieTaC4zZqrYZAXEkBU9Pk_6G3cplC_p3kPoDqAYUe93FMuxVxDmg7DcNC75PQhuco-O57-QP7JqQKv9kCuUthQOmr5n9svF0akmQ</recordid><startdate>20160623</startdate><enddate>20160623</enddate><creator>Árvai, Kristóf</creator><creator>Horváth, Péter</creator><creator>Balla, Bernadett</creator><creator>Tobiás, Bálint</creator><creator>Kató, Karina</creator><creator>Kirschner, Gyöngyi</creator><creator>Klujber, Valéria</creator><creator>Lakatos, Péter</creator><creator>Kósa, János P.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20160623</creationdate><title>Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice</title><author>Árvai, Kristóf ; Horváth, Péter ; Balla, Bernadett ; Tobiás, Bálint ; Kató, Karina ; Kirschner, Gyöngyi ; Klujber, Valéria ; Lakatos, Péter ; Kósa, János P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c504t-a2e778697e47d5774870e422e92a5dbcb3201fb7e3abf0df12f0b4db22b7bcd03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>45</topic><topic>45/41</topic><topic>49</topic><topic>49/23</topic><topic>631/208/212/2301</topic><topic>631/208/514/2254</topic><topic>Amino acids</topic><topic>Clinical medicine</topic><topic>Collagen</topic><topic>Genes</topic><topic>Genetic variance</topic><topic>Genetics</topic><topic>Humanities and Social Sciences</topic><topic>multidisciplinary</topic><topic>Mutation</topic><topic>Proteins</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Árvai, Kristóf</creatorcontrib><creatorcontrib>Horváth, Péter</creatorcontrib><creatorcontrib>Balla, Bernadett</creatorcontrib><creatorcontrib>Tobiás, Bálint</creatorcontrib><creatorcontrib>Kató, Karina</creatorcontrib><creatorcontrib>Kirschner, Gyöngyi</creatorcontrib><creatorcontrib>Klujber, Valéria</creatorcontrib><creatorcontrib>Lakatos, Péter</creatorcontrib><creatorcontrib>Kósa, János P.</creatorcontrib><collection>SpringerOpen</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Scientific reports</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Árvai, Kristóf</au><au>Horváth, Péter</au><au>Balla, Bernadett</au><au>Tobiás, Bálint</au><au>Kató, Karina</au><au>Kirschner, Gyöngyi</au><au>Klujber, Valéria</au><au>Lakatos, Péter</au><au>Kósa, János P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice</atitle><jtitle>Scientific reports</jtitle><stitle>Sci Rep</stitle><addtitle>Sci Rep</addtitle><date>2016-06-23</date><risdate>2016</risdate><volume>6</volume><issue>1</issue><spage>28417</spage><epage>28417</epage><pages>28417-28417</pages><artnum>28417</artnum><issn>2045-2322</issn><eissn>2045-2322</eissn><abstract>Next generation sequencing (NGS) is a rapidly developing area in genetics. Utilizing this technology in the management of disorders with complex genetic background and not recurrent mutation hot spots can be extremely useful. In this study, we applied NGS, namely semiconductor sequencing to determine the most significant osteogenesis imperfecta-related genetic variants in the clinical practice. We selected genes coding collagen type I alpha-1 and-2 (
COL1A1, COL1A2
) which are responsible for more than 90% of all cases.
CRTAP
and
LEPRE1/P3H1
genes involved in the background of the recessive forms with relatively high frequency (type VII and VIII) represent less than 10% of the disease. In our six patients (1–41 years), we identified 23 different variants. We found a total of 14 single nucleotide variants (SNV) in
COL1A1
and
COL1A2
, 5 in
CRTAP
and 4 in
LEPRE1
. Two novel and two already well-established pathogenic SNVs have been identified. Among the newly recognized mutations, one results in an amino acid change and one of them is a stop codon. We have shown that a new full-scale cost-effective NGS method can be developed and utilized to supplement diagnostic process of osteogenesis imperfecta with molecular genetic data in clinical practice.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>27335225</pmid><doi>10.1038/srep28417</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 45 45/41 49 49/23 631/208/212/2301 631/208/514/2254 Amino acids Clinical medicine Collagen Genes Genetic variance Genetics Humanities and Social Sciences multidisciplinary Mutation Proteins Science Science (multidisciplinary) |
title | Next-generation sequencing of common osteogenesis imperfecta-related genes in clinical practice |
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