<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wright CF</submitter><funding>Medical Research Council</funding><funding>National Institute for Health Research (NIHR)</funding><funding>Wellcome Trust</funding><pagination>571-575</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7935711</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(3)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>Automated variant filtering is an essential part of diagnostic genome-wide sequencing but may generate false negative results. We sought to investigate whether some previously identified pathogenic variants may be being routinely excluded by standard variant filtering pipelines.&lt;h4>Methods&lt;/h4>We evaluated variants that were previously classified as pathogenic or likely pathogenic in ClinVar in known developmental disorder genes using exome sequence data from the Deciphering Developmental Disorders (DDD) study.&lt;h4>Results&lt;/h4>Of these ClinVar pathogenic variants, 3.6% were identified among 13,462 DDD probands, and 1134/1352 (83.9%) had already been independently communicated to clinicians using DDD variant filtering pipelines as plausibly pathogenic. The remaining 218 varia</pubmed_abstract><journal>Genetics in medicine : official journal of the American College of Medical Genetics</journal><pubmed_title>Evaluating variants classified as pathogenic in ClinVar in the DDD Study.</pubmed_title><pmcid>PMC7935711</pmcid><funding_grant_id>HICF-1009-003</funding_grant_id><funding_grant_id>MC_UU_00007/3</funding_grant_id><funding_grant_id>098051</funding_grant_id><pubmed_authors>Firth HV</pubmed_authors><pubmed_authors>FitzPatrick DR</pubmed_authors><pubmed_authors>DDD Study</pubmed_authors><pubmed_authors>Wright CF</pubmed_authors><pubmed_authors>Constantinou P</pubmed_authors><pubmed_authors>Hurles ME</pubmed_authors><pubmed_authors>Eberhardt RY</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluating variants classified as pathogenic in ClinVar in the DDD Study.</name><description>&lt;h4>Purpose&lt;/h4>Automated variant filtering is an essential part of diagnostic genome-wide sequencing but may generate false negative results. We sought to investigate whether some previously identified pathogenic variants may be being routinely excluded by standard variant filtering pipelines.&lt;h4>Methods&lt;/h4>We evaluated variants that were previously classified as pathogenic or likely pathogenic in ClinVar in known developmental disorder genes using exome sequence data from the Deciphering Developmental Disorders (DDD) study.&lt;h4>Results&lt;/h4>Of these ClinVar pathogenic variants, 3.6% were identified among 13,462 DDD probands, and 1134/1352 (83.9%) had already been independently communicated to clinicians using DDD variant filtering pipelines as plausibly pathogenic. The remaining 218 varia</description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Mar</publication><modification>2025-04-05T14:34:20.41Z</modification><creation>2025-04-05T14:34:20.41Z</creation></dates><accession>S-EPMC7935711</accession><cross_references><pubmed>33149276</pubmed><doi>10.1038/s41436-020-01021-9</doi></cross_references></HashMap>