Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy

Purpose We evaluated genome sequencing (GS) as an alternative to multigene panel sequencing (PS) for genetic testing in dilated cardiomyopathy (DCM). Methods Forty-two patients with familial DCM underwent PS and GS, and detection rates of rare single-nucleotide variants and small insertions/deletion...

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Veröffentlicht in:Genetics in medicine 2019-03, Vol.21 (3), p.650-662
Hauptverfasser: Minoche, Andre E., Horvat, Claire, Johnson, Renee, Gayevskiy, Velimir, Morton, Sarah U., Drew, Alexander P., Woo, Kerhan, Statham, Aaron L., Lundie, Ben, Bagnall, Richard D., Ingles, Jodie, Semsarian, Christopher, Seidman, J. G., Seidman, Christine E., Dinger, Marcel E., Cowley, Mark J., Fatkin, Diane
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container_end_page 662
container_issue 3
container_start_page 650
container_title Genetics in medicine
container_volume 21
creator Minoche, Andre E.
Horvat, Claire
Johnson, Renee
Gayevskiy, Velimir
Morton, Sarah U.
Drew, Alexander P.
Woo, Kerhan
Statham, Aaron L.
Lundie, Ben
Bagnall, Richard D.
Ingles, Jodie
Semsarian, Christopher
Seidman, J. G.
Seidman, Christine E.
Dinger, Marcel E.
Cowley, Mark J.
Fatkin, Diane
description Purpose We evaluated genome sequencing (GS) as an alternative to multigene panel sequencing (PS) for genetic testing in dilated cardiomyopathy (DCM). Methods Forty-two patients with familial DCM underwent PS and GS, and detection rates of rare single-nucleotide variants and small insertions/deletions in panel genes were compared. Loss-of-function variants in 406 cardiac-enriched genes were evaluated, and an assessment of structural variation was performed. Results GS provided broader and more uniform coverage than PS, with high concordance for rare variant detection in panel genes. GS identified all PS-identified pathogenic or likely pathogenic variants as well as two additional likely pathogenic variants: one was missed by PS due to low coverage, the other was a known disease-causing variant in a gene not included on the panel. No loss-of-function variants in the extended gene set met clinical criteria for pathogenicity. One BAG3 structural variant was classified as pathogenic. Conclusion Our data support the use of GS for genetic testing in DCM, with high variant detection accuracy and a capacity to identify structural variants. GS provides an opportunity to go beyond suites of established disease genes, but the incremental yield of clinically actionable variants is limited by a paucity of genetic and functional evidence for DCM association.
doi_str_mv 10.1038/s41436-018-0084-7
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G. ; Seidman, Christine E. ; Dinger, Marcel E. ; Cowley, Mark J. ; Fatkin, Diane</creator><creatorcontrib>Minoche, Andre E. ; Horvat, Claire ; Johnson, Renee ; Gayevskiy, Velimir ; Morton, Sarah U. ; Drew, Alexander P. ; Woo, Kerhan ; Statham, Aaron L. ; Lundie, Ben ; Bagnall, Richard D. ; Ingles, Jodie ; Semsarian, Christopher ; Seidman, J. G. ; Seidman, Christine E. ; Dinger, Marcel E. ; Cowley, Mark J. ; Fatkin, Diane</creatorcontrib><description>Purpose We evaluated genome sequencing (GS) as an alternative to multigene panel sequencing (PS) for genetic testing in dilated cardiomyopathy (DCM). Methods Forty-two patients with familial DCM underwent PS and GS, and detection rates of rare single-nucleotide variants and small insertions/deletions in panel genes were compared. Loss-of-function variants in 406 cardiac-enriched genes were evaluated, and an assessment of structural variation was performed. Results GS provided broader and more uniform coverage than PS, with high concordance for rare variant detection in panel genes. GS identified all PS-identified pathogenic or likely pathogenic variants as well as two additional likely pathogenic variants: one was missed by PS due to low coverage, the other was a known disease-causing variant in a gene not included on the panel. No loss-of-function variants in the extended gene set met clinical criteria for pathogenicity. One BAG3 structural variant was classified as pathogenic. Conclusion Our data support the use of GS for genetic testing in DCM, with high variant detection accuracy and a capacity to identify structural variants. GS provides an opportunity to go beyond suites of established disease genes, but the incremental yield of clinically actionable variants is limited by a paucity of genetic and functional evidence for DCM association.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/s41436-018-0084-7</identifier><identifier>PMID: 29961767</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Base Sequence ; Biomedical and Life Sciences ; Biomedicine ; Cardiomyopathy ; Cardiomyopathy, Dilated - genetics ; Female ; Genes ; Genetic Predisposition to Disease - genetics ; Genetic Testing - methods ; Genomes ; Human Genetics ; Humans ; INDEL Mutation ; Laboratory Medicine ; Male ; Middle Aged ; Polymorphism, Single Nucleotide - genetics ; Sequence Analysis, DNA - methods ; Whole Genome Sequencing - methods</subject><ispartof>Genetics in medicine, 2019-03, Vol.21 (3), p.650-662</ispartof><rights>American College of Medical Genetics and Genomics 2018</rights><rights>Copyright Nature Publishing Group Mar 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c481t-1400e20379ad3be05bec319e65cf0b56caa691d5043bf72508b5ae37a3d8ab823</citedby><cites>FETCH-LOGICAL-c481t-1400e20379ad3be05bec319e65cf0b56caa691d5043bf72508b5ae37a3d8ab823</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29961767$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Minoche, Andre E.</creatorcontrib><creatorcontrib>Horvat, Claire</creatorcontrib><creatorcontrib>Johnson, Renee</creatorcontrib><creatorcontrib>Gayevskiy, Velimir</creatorcontrib><creatorcontrib>Morton, Sarah U.</creatorcontrib><creatorcontrib>Drew, Alexander P.</creatorcontrib><creatorcontrib>Woo, Kerhan</creatorcontrib><creatorcontrib>Statham, Aaron L.</creatorcontrib><creatorcontrib>Lundie, Ben</creatorcontrib><creatorcontrib>Bagnall, Richard D.</creatorcontrib><creatorcontrib>Ingles, Jodie</creatorcontrib><creatorcontrib>Semsarian, Christopher</creatorcontrib><creatorcontrib>Seidman, J. G.</creatorcontrib><creatorcontrib>Seidman, Christine E.</creatorcontrib><creatorcontrib>Dinger, Marcel E.</creatorcontrib><creatorcontrib>Cowley, Mark J.</creatorcontrib><creatorcontrib>Fatkin, Diane</creatorcontrib><title>Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Purpose We evaluated genome sequencing (GS) as an alternative to multigene panel sequencing (PS) for genetic testing in dilated cardiomyopathy (DCM). Methods Forty-two patients with familial DCM underwent PS and GS, and detection rates of rare single-nucleotide variants and small insertions/deletions in panel genes were compared. Loss-of-function variants in 406 cardiac-enriched genes were evaluated, and an assessment of structural variation was performed. Results GS provided broader and more uniform coverage than PS, with high concordance for rare variant detection in panel genes. GS identified all PS-identified pathogenic or likely pathogenic variants as well as two additional likely pathogenic variants: one was missed by PS due to low coverage, the other was a known disease-causing variant in a gene not included on the panel. No loss-of-function variants in the extended gene set met clinical criteria for pathogenicity. One BAG3 structural variant was classified as pathogenic. Conclusion Our data support the use of GS for genetic testing in DCM, with high variant detection accuracy and a capacity to identify structural variants. 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G.</au><au>Seidman, Christine E.</au><au>Dinger, Marcel E.</au><au>Cowley, Mark J.</au><au>Fatkin, Diane</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2019-03-01</date><risdate>2019</risdate><volume>21</volume><issue>3</issue><spage>650</spage><epage>662</epage><pages>650-662</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Purpose We evaluated genome sequencing (GS) as an alternative to multigene panel sequencing (PS) for genetic testing in dilated cardiomyopathy (DCM). Methods Forty-two patients with familial DCM underwent PS and GS, and detection rates of rare single-nucleotide variants and small insertions/deletions in panel genes were compared. Loss-of-function variants in 406 cardiac-enriched genes were evaluated, and an assessment of structural variation was performed. Results GS provided broader and more uniform coverage than PS, with high concordance for rare variant detection in panel genes. GS identified all PS-identified pathogenic or likely pathogenic variants as well as two additional likely pathogenic variants: one was missed by PS due to low coverage, the other was a known disease-causing variant in a gene not included on the panel. No loss-of-function variants in the extended gene set met clinical criteria for pathogenicity. One BAG3 structural variant was classified as pathogenic. Conclusion Our data support the use of GS for genetic testing in DCM, with high variant detection accuracy and a capacity to identify structural variants. GS provides an opportunity to go beyond suites of established disease genes, but the incremental yield of clinically actionable variants is limited by a paucity of genetic and functional evidence for DCM association.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>29961767</pmid><doi>10.1038/s41436-018-0084-7</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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subjects Adolescent
Adult
Aged
Aged, 80 and over
Base Sequence
Biomedical and Life Sciences
Biomedicine
Cardiomyopathy
Cardiomyopathy, Dilated - genetics
Female
Genes
Genetic Predisposition to Disease - genetics
Genetic Testing - methods
Genomes
Human Genetics
Humans
INDEL Mutation
Laboratory Medicine
Male
Middle Aged
Polymorphism, Single Nucleotide - genetics
Sequence Analysis, DNA - methods
Whole Genome Sequencing - methods
title Genome sequencing as a first-line genetic test in familial dilated cardiomyopathy
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