The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing
Purpose: Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic...
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creator | Pugh, Trevor J. Kelly, Melissa A. Gowrisankar, Sivakumar Hynes, Elizabeth Seidman, Michael A. Baxter, Samantha M. Bowser, Mark Harrison, Bryan Aaron, Daniel Mahanta, Lisa M. Lakdawala, Neal K. McDermott, Gregory White, Emily T. Rehm, Heidi L. Lebo, Matthew Funke, Birgit H. |
description | Purpose:
Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic variant spectrum are still poorly defined. We analyzed 766 dilated cardiomyopathy patients tested over 5 years in our molecular diagnostics laboratory.
Methods:
Patients were tested using gene panels of increasing size from 5 to 46 genes, including 121 cases tested with a multiple-cardiomyopathy next-generation panel covering 46 genes. All variants were reassessed using our current clinical-grade scoring system to eliminate false-positive disease associations that afflict many older analyses.
Results:
Up to 37% of dilated cardiomyopathy cases carry a clinically relevant variant in one of 20 genes, titin (
TTN
) being the largest contributor (up to 14%). Desmoplakin (
DSP
), an arrhythmogenic right ventricular cardiomyopathy gene, contributed 2.4%, illustrating the utility of multidisease testing. The clinical sensitivity increased from 10 to 37% as gene panel sizes increased. However, the number of inconclusive cases also increased from 4.6 to 51%.
Conclusion:
Our data illustrate the utility of broad gene panels for genetically and clinically heterogeneous diseases but also highlight challenges as molecular diagnostics moves toward genome-wide testing.
Genet Med
16
8, 601–608. |
doi_str_mv | 10.1038/gim.2013.204 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1680458793</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1680458793</sourcerecordid><originalsourceid>FETCH-LOGICAL-c494t-13d833587d5b6cdfcae96972b1142485a33914cb3cf5c97721a5d4a04c9bb17d3</originalsourceid><addsrcrecordid>eNqFkc1LxDAQxYMoft88S8CLB7smTdImx8VvWPSynkOapLuRNl2TVuh_b5ZdFUTwMjPwfryZ4QFwhtEEI8KvF66d5AiTVOgOOMSMoAyRothNMxI8IwVCB-AoxjeEcElytA8OcsoQKTk6BHq-tLBR3kStVhZ2NVxYb3un4YcKTvWu89B5aFyjemugVsG4rh27leqXI1QRxiF82DFJ1Qh147zTqoG3z1MY7ftgvXZ-cQL2atVEe7rtx-D1_m5-85jNXh6ebqazTFNB-wwTwwlhvDSsKrSptbKiEGVeYUxzypkiRGCqK6JrpkVZ5lgxQxWiWlQVLg05Bpcb31Xo0u7Yy9ZFbZv0nu2GKHHBEU3-gvyPMoY55pyJhF78Qt-6Ifj0iMw5X59RkiJRVxtKhy7GYGu5Cq5VYZQYyXVOMuUk1zmlQhN-vjUdqtaab_grmARkGyAmyS9s-Nn6p-Enj8ub3w</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2887721736</pqid></control><display><type>article</type><title>The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing</title><source>MEDLINE</source><source>EZB-FREE-00999 freely available EZB journals</source><source>ProQuest Central UK/Ireland</source><source>Alma/SFX Local Collection</source><creator>Pugh, Trevor J. ; Kelly, Melissa A. ; Gowrisankar, Sivakumar ; Hynes, Elizabeth ; Seidman, Michael A. ; Baxter, Samantha M. ; Bowser, Mark ; Harrison, Bryan ; Aaron, Daniel ; Mahanta, Lisa M. ; Lakdawala, Neal K. ; McDermott, Gregory ; White, Emily T. ; Rehm, Heidi L. ; Lebo, Matthew ; Funke, Birgit H.</creator><creatorcontrib>Pugh, Trevor J. ; Kelly, Melissa A. ; Gowrisankar, Sivakumar ; Hynes, Elizabeth ; Seidman, Michael A. ; Baxter, Samantha M. ; Bowser, Mark ; Harrison, Bryan ; Aaron, Daniel ; Mahanta, Lisa M. ; Lakdawala, Neal K. ; McDermott, Gregory ; White, Emily T. ; Rehm, Heidi L. ; Lebo, Matthew ; Funke, Birgit H.</creatorcontrib><description>Purpose:
Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic variant spectrum are still poorly defined. We analyzed 766 dilated cardiomyopathy patients tested over 5 years in our molecular diagnostics laboratory.
Methods:
Patients were tested using gene panels of increasing size from 5 to 46 genes, including 121 cases tested with a multiple-cardiomyopathy next-generation panel covering 46 genes. All variants were reassessed using our current clinical-grade scoring system to eliminate false-positive disease associations that afflict many older analyses.
Results:
Up to 37% of dilated cardiomyopathy cases carry a clinically relevant variant in one of 20 genes, titin (
TTN
) being the largest contributor (up to 14%). Desmoplakin (
DSP
), an arrhythmogenic right ventricular cardiomyopathy gene, contributed 2.4%, illustrating the utility of multidisease testing. The clinical sensitivity increased from 10 to 37% as gene panel sizes increased. However, the number of inconclusive cases also increased from 4.6 to 51%.
Conclusion:
Our data illustrate the utility of broad gene panels for genetically and clinically heterogeneous diseases but also highlight challenges as molecular diagnostics moves toward genome-wide testing.
Genet Med
16
8, 601–608.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/gim.2013.204</identifier><identifier>PMID: 24503780</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>631/208/514/2254 ; 631/208/726/649 ; 692/699/75/74 ; 692/700/139/1512 ; Biomedicine ; Cardiomyopathy ; Cardiomyopathy, Dilated - genetics ; Carrier Proteins - genetics ; Connectin - genetics ; Desmoplakins - genetics ; Female ; Genes ; Genetic Predisposition to Disease ; Genetic Variation ; Human Genetics ; Humans ; Laboratory Medicine ; Male ; original-research-article ; Sequence Analysis, DNA - methods ; Vinculin - genetics</subject><ispartof>Genetics in medicine, 2014-08, Vol.16 (8), p.601-608</ispartof><rights>American College of Medical Genetics and Genomics 2014</rights><rights>American College of Medical Genetics and Genomics 2014.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c494t-13d833587d5b6cdfcae96972b1142485a33914cb3cf5c97721a5d4a04c9bb17d3</citedby><cites>FETCH-LOGICAL-c494t-13d833587d5b6cdfcae96972b1142485a33914cb3cf5c97721a5d4a04c9bb17d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2887721736?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>315,782,786,27933,27934,64394,64396,64398,72478</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24503780$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pugh, Trevor J.</creatorcontrib><creatorcontrib>Kelly, Melissa A.</creatorcontrib><creatorcontrib>Gowrisankar, Sivakumar</creatorcontrib><creatorcontrib>Hynes, Elizabeth</creatorcontrib><creatorcontrib>Seidman, Michael A.</creatorcontrib><creatorcontrib>Baxter, Samantha M.</creatorcontrib><creatorcontrib>Bowser, Mark</creatorcontrib><creatorcontrib>Harrison, Bryan</creatorcontrib><creatorcontrib>Aaron, Daniel</creatorcontrib><creatorcontrib>Mahanta, Lisa M.</creatorcontrib><creatorcontrib>Lakdawala, Neal K.</creatorcontrib><creatorcontrib>McDermott, Gregory</creatorcontrib><creatorcontrib>White, Emily T.</creatorcontrib><creatorcontrib>Rehm, Heidi L.</creatorcontrib><creatorcontrib>Lebo, Matthew</creatorcontrib><creatorcontrib>Funke, Birgit H.</creatorcontrib><title>The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Purpose:
Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic variant spectrum are still poorly defined. We analyzed 766 dilated cardiomyopathy patients tested over 5 years in our molecular diagnostics laboratory.
Methods:
Patients were tested using gene panels of increasing size from 5 to 46 genes, including 121 cases tested with a multiple-cardiomyopathy next-generation panel covering 46 genes. All variants were reassessed using our current clinical-grade scoring system to eliminate false-positive disease associations that afflict many older analyses.
Results:
Up to 37% of dilated cardiomyopathy cases carry a clinically relevant variant in one of 20 genes, titin (
TTN
) being the largest contributor (up to 14%). Desmoplakin (
DSP
), an arrhythmogenic right ventricular cardiomyopathy gene, contributed 2.4%, illustrating the utility of multidisease testing. The clinical sensitivity increased from 10 to 37% as gene panel sizes increased. However, the number of inconclusive cases also increased from 4.6 to 51%.
Conclusion:
Our data illustrate the utility of broad gene panels for genetically and clinically heterogeneous diseases but also highlight challenges as molecular diagnostics moves toward genome-wide testing.
Genet Med
16
8, 601–608.</description><subject>631/208/514/2254</subject><subject>631/208/726/649</subject><subject>692/699/75/74</subject><subject>692/700/139/1512</subject><subject>Biomedicine</subject><subject>Cardiomyopathy</subject><subject>Cardiomyopathy, Dilated - genetics</subject><subject>Carrier Proteins - genetics</subject><subject>Connectin - genetics</subject><subject>Desmoplakins - genetics</subject><subject>Female</subject><subject>Genes</subject><subject>Genetic Predisposition to Disease</subject><subject>Genetic Variation</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Laboratory Medicine</subject><subject>Male</subject><subject>original-research-article</subject><subject>Sequence Analysis, DNA - methods</subject><subject>Vinculin - genetics</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNqFkc1LxDAQxYMoft88S8CLB7smTdImx8VvWPSynkOapLuRNl2TVuh_b5ZdFUTwMjPwfryZ4QFwhtEEI8KvF66d5AiTVOgOOMSMoAyRothNMxI8IwVCB-AoxjeEcElytA8OcsoQKTk6BHq-tLBR3kStVhZ2NVxYb3un4YcKTvWu89B5aFyjemugVsG4rh27leqXI1QRxiF82DFJ1Qh147zTqoG3z1MY7ftgvXZ-cQL2atVEe7rtx-D1_m5-85jNXh6ebqazTFNB-wwTwwlhvDSsKrSptbKiEGVeYUxzypkiRGCqK6JrpkVZ5lgxQxWiWlQVLg05Bpcb31Xo0u7Yy9ZFbZv0nu2GKHHBEU3-gvyPMoY55pyJhF78Qt-6Ifj0iMw5X59RkiJRVxtKhy7GYGu5Cq5VYZQYyXVOMuUk1zmlQhN-vjUdqtaab_grmARkGyAmyS9s-Nn6p-Enj8ub3w</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Pugh, Trevor J.</creator><creator>Kelly, Melissa A.</creator><creator>Gowrisankar, Sivakumar</creator><creator>Hynes, Elizabeth</creator><creator>Seidman, Michael A.</creator><creator>Baxter, Samantha M.</creator><creator>Bowser, Mark</creator><creator>Harrison, Bryan</creator><creator>Aaron, Daniel</creator><creator>Mahanta, Lisa M.</creator><creator>Lakdawala, Neal K.</creator><creator>McDermott, Gregory</creator><creator>White, Emily T.</creator><creator>Rehm, Heidi L.</creator><creator>Lebo, Matthew</creator><creator>Funke, Birgit H.</creator><general>Nature Publishing Group US</general><general>Elsevier Limited</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>7TM</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20140801</creationdate><title>The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing</title><author>Pugh, Trevor J. ; Kelly, Melissa A. ; Gowrisankar, Sivakumar ; Hynes, Elizabeth ; Seidman, Michael A. ; Baxter, Samantha M. ; Bowser, Mark ; Harrison, Bryan ; Aaron, Daniel ; Mahanta, Lisa M. ; Lakdawala, Neal K. ; McDermott, Gregory ; White, Emily T. ; Rehm, Heidi L. ; Lebo, Matthew ; Funke, Birgit H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c494t-13d833587d5b6cdfcae96972b1142485a33914cb3cf5c97721a5d4a04c9bb17d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>631/208/514/2254</topic><topic>631/208/726/649</topic><topic>692/699/75/74</topic><topic>692/700/139/1512</topic><topic>Biomedicine</topic><topic>Cardiomyopathy</topic><topic>Cardiomyopathy, Dilated - genetics</topic><topic>Carrier Proteins - genetics</topic><topic>Connectin - genetics</topic><topic>Desmoplakins - genetics</topic><topic>Female</topic><topic>Genes</topic><topic>Genetic Predisposition to Disease</topic><topic>Genetic Variation</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Laboratory Medicine</topic><topic>Male</topic><topic>original-research-article</topic><topic>Sequence Analysis, DNA - methods</topic><topic>Vinculin - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pugh, Trevor J.</creatorcontrib><creatorcontrib>Kelly, Melissa A.</creatorcontrib><creatorcontrib>Gowrisankar, Sivakumar</creatorcontrib><creatorcontrib>Hynes, Elizabeth</creatorcontrib><creatorcontrib>Seidman, Michael A.</creatorcontrib><creatorcontrib>Baxter, Samantha M.</creatorcontrib><creatorcontrib>Bowser, Mark</creatorcontrib><creatorcontrib>Harrison, Bryan</creatorcontrib><creatorcontrib>Aaron, Daniel</creatorcontrib><creatorcontrib>Mahanta, Lisa M.</creatorcontrib><creatorcontrib>Lakdawala, Neal K.</creatorcontrib><creatorcontrib>McDermott, Gregory</creatorcontrib><creatorcontrib>White, Emily T.</creatorcontrib><creatorcontrib>Rehm, Heidi L.</creatorcontrib><creatorcontrib>Lebo, Matthew</creatorcontrib><creatorcontrib>Funke, Birgit H.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</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>Medical Database (Alumni Edition)</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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical 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>MEDLINE - Academic</collection><collection>Nucleic Acids Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pugh, Trevor J.</au><au>Kelly, Melissa A.</au><au>Gowrisankar, Sivakumar</au><au>Hynes, Elizabeth</au><au>Seidman, Michael A.</au><au>Baxter, Samantha M.</au><au>Bowser, Mark</au><au>Harrison, Bryan</au><au>Aaron, Daniel</au><au>Mahanta, Lisa M.</au><au>Lakdawala, Neal K.</au><au>McDermott, Gregory</au><au>White, Emily T.</au><au>Rehm, Heidi L.</au><au>Lebo, Matthew</au><au>Funke, Birgit H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2014-08-01</date><risdate>2014</risdate><volume>16</volume><issue>8</issue><spage>601</spage><epage>608</epage><pages>601-608</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Purpose:
Dilated cardiomyopathy is characterized by substantial locus, allelic, and clinical heterogeneity that necessitates testing of many genes across clinically overlapping diseases. Few studies have sequenced sufficient individuals; thus, the contributions of individual genes and the pathogenic variant spectrum are still poorly defined. We analyzed 766 dilated cardiomyopathy patients tested over 5 years in our molecular diagnostics laboratory.
Methods:
Patients were tested using gene panels of increasing size from 5 to 46 genes, including 121 cases tested with a multiple-cardiomyopathy next-generation panel covering 46 genes. All variants were reassessed using our current clinical-grade scoring system to eliminate false-positive disease associations that afflict many older analyses.
Results:
Up to 37% of dilated cardiomyopathy cases carry a clinically relevant variant in one of 20 genes, titin (
TTN
) being the largest contributor (up to 14%). Desmoplakin (
DSP
), an arrhythmogenic right ventricular cardiomyopathy gene, contributed 2.4%, illustrating the utility of multidisease testing. The clinical sensitivity increased from 10 to 37% as gene panel sizes increased. However, the number of inconclusive cases also increased from 4.6 to 51%.
Conclusion:
Our data illustrate the utility of broad gene panels for genetically and clinically heterogeneous diseases but also highlight challenges as molecular diagnostics moves toward genome-wide testing.
Genet Med
16
8, 601–608.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>24503780</pmid><doi>10.1038/gim.2013.204</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | 631/208/514/2254 631/208/726/649 692/699/75/74 692/700/139/1512 Biomedicine Cardiomyopathy Cardiomyopathy, Dilated - genetics Carrier Proteins - genetics Connectin - genetics Desmoplakins - genetics Female Genes Genetic Predisposition to Disease Genetic Variation Human Genetics Humans Laboratory Medicine Male original-research-article Sequence Analysis, DNA - methods Vinculin - genetics |
title | The landscape of genetic variation in dilated cardiomyopathy as surveyed by clinical DNA sequencing |
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