{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T21:12:34Z","timestamp":1789679554797,"version":"4.0.1"},"reference-count":38,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Kidney360"],"published-print":{"date-parts":[[2020,8]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Next-generation sequencing (NGS) is a useful tool for evaluating patients with suspected genetic kidney disease. Clinical practice relies on the use of targeted gene panels that are ordered based on patient presentation. We compare the diagnostic yield of clinical panel-based testing to exome analysis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      In total, 324 consecutive patients underwent physician-ordered, panel-based NGS testing between December 2014 and October 2018. Gene panels were available for four clinical phenotypes, including atypical hemolytic uremic syndrome (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      =224), nephrotic syndrome (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      =56), cystic kidney disease (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      =26), and Alport syndrome (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      =13). Variants were analyzed and clinical reports were signed out by a pathologist or clinical geneticist at the time of testing. Subsequently, all patients underwent retrospective exome analysis to detect additional clinically significant variants in kidney disease genes that were not analyzed as part of the initial clinical gene panel. Resulting variants were classified according to the American College of Medical Genetics and Genomics 2015 guidelines.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      In the initial physician-ordered gene panels, we identified clinically significant pathogenic or likely pathogenic variants in 13% of patients (\n                      <jats:italic toggle=\"yes\">n<\/jats:italic>\n                      =42\/324).\n                      <jats:italic toggle=\"yes\">CFHR3-CFHR1<\/jats:italic>\n                      homozygous deletion was detected in an additional 13 patients with aHUS without a pathogenic or likely pathogenic variant. Diagnostic yield of the initial physician-ordered gene panel was 20% and varied between groups. Retrospective exome analysis identified 18 patients with a previously unknown pathogenic or likely pathogenic variant in a kidney disease gene and eight patients with a high-risk\n                      <jats:italic toggle=\"yes\">APOL1<\/jats:italic>\n                      genotype. Overall, retrospective exome analysis increased the diagnostic yield of panel-based testing from 20% to 30%.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>These results highlight the importance of a broad and collaborative approach between the clinical laboratory and their physician clients that employs additional analysis when a targeted panel of kidney disease\u2013causing genes does not return a clinically meaningful result.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.34067\/kid.0001342020","type":"journal-article","created":{"date-parts":[[2020,5,13]],"date-time":"2020-05-13T21:41:37Z","timestamp":1589406097000},"page":"772-780","source":"Crossref","is-referenced-by-count":19,"title":["Beyond Panel-Based Testing: Exome Analysis Increases Sensitivity for Diagnosis of Genetic Kidney Disease"],"prefix":"10.34067","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8647-9662","authenticated-orcid":false,"given":"Parker C.","family":"Wilson","sequence":"first","affiliation":[{"name":"Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Latisha","family":"Love-Gregory","sequence":"additional","affiliation":[{"name":"Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meagan","family":"Corliss","sequence":"additional","affiliation":[{"name":"Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Samantha","family":"McNulty","sequence":"additional","affiliation":[{"name":"Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jonathan W.","family":"Heusel","sequence":"additional","affiliation":[{"name":"Division of Laboratory and Genomic Medicine, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"},{"name":"Department of Genetics, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joseph P.","family":"Gaut","sequence":"additional","affiliation":[{"name":"Division of Anatomic and Molecular Pathology, Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, Missouri"},{"name":"Division of Nephrology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","published-online":{"date-parts":[[2020,8,27]]},"reference":[{"key":"B1-20230821","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1038\/nrneph.2014.95","article-title":"Next-generation sequencing for research and diagnostics in kidney disease","volume":"10","author":"Renkema","year":"2014","journal-title":"Nat Rev Nephrol"},{"key":"B2-20230821","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1136\/jmedgenet-2017-104811","article-title":"Clinical genetic testing using a custom-designed steroid-resistant nephrotic syndrome gene panel: Analysis and recommendations","volume":"54","author":"Sen","year":"2017","journal-title":"J Med Genet"},{"key":"B3-20230821","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1136\/jmedgenet-2015-103304","article-title":"Large-scale targeted sequencing comparison 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