<HashMap><database>biostudies-literature</database><scores><citationCount>0</citationCount><reanalysisCount>0</reanalysisCount><viewCount>44</viewCount><searchCount>0</searchCount></scores><additional><submitter>Pfundt R</submitter><funding>European Research Council</funding><funding>Dutch Research Council (NWO)</funding><pagination>667-675</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5460076</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(6)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Copy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10-20%. However, for most other genetic disorders, the role of CNVs is less clear and most diagnostic genetic studies are generally limited to the study of single-nucleotide variants (SNVs) and other small variants. With the introduction of exome and genome sequencing, it is now possible to detect both SNVs and CNVs using an exome- or genome-wide approach with a single test.&lt;h4>Methods&lt;/h4>We performed exome-based read-depth CNV screening on data from 2,603 patients affected by a range of genetic disorders for which exome sequencing was performed in a diagnostic setting.&lt;h4>Results&lt;/h4>In total, 123 clinically relevant CNVs ranging in size from 727 bp to 15.3 Mb were detected, which resulted in 51 conclusive diagnoses and an overall increase in diagnostic yield of ~2% (ranging from 0 to -5.8% per disorder).&lt;h4>Conclusions&lt;/h4>This study shows that CNVs play an important role in a broad range of genetic disorders and that detection via exome-based CNV profiling results in an increase in the diagnostic yield without additional testing, bringing us closer to single-test genomics.Genet Med advance online publication 27 October 2016.</pubmed_abstract><journal>Genetics in medicine : official journal of the American College of Medical Genetics</journal><pubmed_title>Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders.</pubmed_title><pmcid>PMC5460076</pmcid><funding_grant_id>281964</funding_grant_id><funding_grant_id>016.166.015</funding_grant_id><pubmed_authors>Yntema HG</pubmed_authors><pubmed_authors>Simons A</pubmed_authors><pubmed_authors>Stegmann APA</pubmed_authors><pubmed_authors>Stevens SJC</pubmed_authors><pubmed_authors>Del Rosario M</pubmed_authors><pubmed_authors>Mensenkamp AR</pubmed_authors><pubmed_authors>Pfundt R</pubmed_authors><pubmed_authors>Kwint MP</pubmed_authors><pubmed_authors>Wieskamp N</pubmed_authors><pubmed_authors>Lugtenberg D</pubmed_authors><pubmed_authors>Rinne T</pubmed_authors><pubmed_authors>Vissers LELM</pubmed_authors><pubmed_authors>Janssen IM</pubmed_authors><pubmed_authors>Rodenburg RJT</pubmed_authors><pubmed_authors>de Leeuw N</pubmed_authors><pubmed_authors>Scheffer H</pubmed_authors><pubmed_authors>Veltman JA</pubmed_authors><pubmed_authors>Gilissen C</pubmed_authors><pubmed_authors>Hehir-Kwa JY</pubmed_authors><pubmed_authors>Nelen MR</pubmed_authors><pubmed_authors>Kamsteeg EJ</pubmed_authors><view_count>44</view_count></additional><is_claimable>false</is_claimable><name>Detection of clinically relevant copy-number variants by exome sequencing in a large cohort of genetic disorders.</name><description>&lt;h4>Purpose&lt;/h4>Copy-number variation is a common source of genomic variation and an important genetic cause of disease. Microarray-based analysis of copy-number variants (CNVs) has become a first-tier diagnostic test for patients with neurodevelopmental disorders, with a diagnostic yield of 10-20%. However, for most other genetic disorders, the role of CNVs is less clear and most diagnostic genetic studies are generally limited to the study of single-nucleotide variants (SNVs) and other small variants. With the introduction of exome and genome sequencing, it is now possible to detect both SNVs and CNVs using an exome- or genome-wide approach with a single test.&lt;h4>Methods&lt;/h4>We performed exome-based read-depth CNV screening on data from 2,603 patients affected by a range of genetic disorders for which exome sequencing was performed in a diagnostic setting.&lt;h4>Results&lt;/h4>In total, 123 clinically relevant CNVs ranging in size from 727 bp to 15.3 Mb were detected, which resulted in 51 conclusive diagnoses and an overall increase in diagnostic yield of ~2% (ranging from 0 to -5.8% per disorder).&lt;h4>Conclusions&lt;/h4>This study shows that CNVs play an important role in a broad range of genetic disorders and that detection via exome-based CNV profiling results in an increase in the diagnostic yield without additional testing, bringing us closer to single-test genomics.Genet Med advance online publication 27 October 2016.</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Jun</publication><modification>2024-11-15T11:11:08.659Z</modification><creation>2019-03-27T02:46:55Z</creation></dates><accession>S-EPMC5460076</accession><cross_references><pubmed>28574513</pubmed><doi>10.1038/gim.2016.163</doi></cross_references></HashMap>