Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond
Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next‐generation sequencing gene panel including...
Gespeichert in:
Veröffentlicht in: | Clinical genetics 2021-02, Vol.99 (2), p.236-249 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 249 |
---|---|
container_issue | 2 |
container_start_page | 236 |
container_title | Clinical genetics |
container_volume | 99 |
creator | Oh, Jiyoung Shin, Jae Il Lee, Keumwha Lee, CheolHo Ko, Younhee Lee, Jin‐Sung |
description | Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next‐generation sequencing gene panel including 203 genes associated with kidney disease, as well as diseases originating in other organs with mimicking symptoms of kidney disease, to analyze 51 patients with nonspecific nephrogenic symptoms, followed by validation of its efficacy as a diagnostic tool. We simultaneously screened for copy number variants (CNVs) in each patient to obtain a higher diagnostic yield (molecular diagnostic rate: 39.2%). Notably, one patient suspected of having Bartter syndrome presented with chloride‐secreting diarrhea attributable to homozygous SLC26A3 variants. Additionally, in eight patients, NGS confirmed the genetic causes of undefined kidney diseases (8/20, 40%), and initial clinical impression and molecular diagnosis were matched in 11 patients (11/20, 55%). Moreover, we found seven novel pathogenic/likely pathogenic variants in PKD1, PKHD1, COL4A3, and SLC12A1 genes, with a possible pathogenic variant in COL4A3 (c.1229G>A) identified in two unrelated patients. These results suggest that targeted NGS‐panel testing performed with CNV analysis might be advantageous for noninvasive and comprehensive diagnosis of suspected genetic kidney diseases. |
doi_str_mv | 10.1111/cge.13869 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7839754</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2454103327</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4439-fc1a9b2c39acd11af5730aef67e4dc59869fa9bd0e41b85f8114df40448a88c3</originalsourceid><addsrcrecordid>eNp1kU1uFDEQhS0EIkNgwQWQJTaw6MQeu3-8QYpGyYAUwYLsLbddnnHosRu7h6h3HIEz5iRUmBABEt6Urfrq6ZUfIS85O-F4Tu0GTrjoGvWILLhQqmKMycdkgUVVijfiiDwr5Rqfoq3VU3IkBFO1lO2C3KyGEIM1AzXjOOBlCinS5Kmh4xZimuYRbr__6E0BRz-uP9PRRBioT5m64D1kiFPAaRfMJqYSyt1siFvIYcKJL8FFmLFbABWoiY72MKfonpMn3gwFXtzXY3J1cX61el9dflp_WJ1dVlZKoSpvuVH90gplrOPc-LoVzIBvWpDO1gp39gg4BpL3Xe07zqXzkknZma6z4pi8O8iO-34HzqLbbAY95rAzedbJBP13J4at3qRvuu2EamuJAm_uBXL6uocy6V0oFoYBvyHti17KWnImxLJF9PU_6HXa54jbIdW2olFN3SH19kDZnErJ4B_McKbv0tSYpv6VJrKv_nT_QP6OD4HTA3ATBpj_r6RX6_OD5E_YiayM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2477369658</pqid></control><display><type>article</type><title>Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Oh, Jiyoung ; Shin, Jae Il ; Lee, Keumwha ; Lee, CheolHo ; Ko, Younhee ; Lee, Jin‐Sung</creator><creatorcontrib>Oh, Jiyoung ; Shin, Jae Il ; Lee, Keumwha ; Lee, CheolHo ; Ko, Younhee ; Lee, Jin‐Sung</creatorcontrib><description>Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next‐generation sequencing gene panel including 203 genes associated with kidney disease, as well as diseases originating in other organs with mimicking symptoms of kidney disease, to analyze 51 patients with nonspecific nephrogenic symptoms, followed by validation of its efficacy as a diagnostic tool. We simultaneously screened for copy number variants (CNVs) in each patient to obtain a higher diagnostic yield (molecular diagnostic rate: 39.2%). Notably, one patient suspected of having Bartter syndrome presented with chloride‐secreting diarrhea attributable to homozygous SLC26A3 variants. Additionally, in eight patients, NGS confirmed the genetic causes of undefined kidney diseases (8/20, 40%), and initial clinical impression and molecular diagnosis were matched in 11 patients (11/20, 55%). Moreover, we found seven novel pathogenic/likely pathogenic variants in PKD1, PKHD1, COL4A3, and SLC12A1 genes, with a possible pathogenic variant in COL4A3 (c.1229G>A) identified in two unrelated patients. These results suggest that targeted NGS‐panel testing performed with CNV analysis might be advantageous for noninvasive and comprehensive diagnosis of suspected genetic kidney diseases.</description><identifier>ISSN: 0009-9163</identifier><identifier>EISSN: 1399-0004</identifier><identifier>DOI: 10.1111/cge.13869</identifier><identifier>PMID: 33095447</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Publishing Ltd</publisher><subject>Copy number ; Copy number variant ; Diarrhea ; Differential diagnosis ; Genetic diagnosis ; Kidney disease ; Kidney diseases ; Mimicry ; NGS panel ; Original ; Patients ; Phenotypes ; Renal disease</subject><ispartof>Clinical genetics, 2021-02, Vol.99 (2), p.236-249</ispartof><rights>2020 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2020 The Authors. Clinical Genetics published by John Wiley & Sons Ltd.</rights><rights>2020. This article is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4439-fc1a9b2c39acd11af5730aef67e4dc59869fa9bd0e41b85f8114df40448a88c3</citedby><cites>FETCH-LOGICAL-c4439-fc1a9b2c39acd11af5730aef67e4dc59869fa9bd0e41b85f8114df40448a88c3</cites><orcidid>0000-0003-3552-8465</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fcge.13869$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fcge.13869$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33095447$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Oh, Jiyoung</creatorcontrib><creatorcontrib>Shin, Jae Il</creatorcontrib><creatorcontrib>Lee, Keumwha</creatorcontrib><creatorcontrib>Lee, CheolHo</creatorcontrib><creatorcontrib>Ko, Younhee</creatorcontrib><creatorcontrib>Lee, Jin‐Sung</creatorcontrib><title>Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond</title><title>Clinical genetics</title><addtitle>Clin Genet</addtitle><description>Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next‐generation sequencing gene panel including 203 genes associated with kidney disease, as well as diseases originating in other organs with mimicking symptoms of kidney disease, to analyze 51 patients with nonspecific nephrogenic symptoms, followed by validation of its efficacy as a diagnostic tool. We simultaneously screened for copy number variants (CNVs) in each patient to obtain a higher diagnostic yield (molecular diagnostic rate: 39.2%). Notably, one patient suspected of having Bartter syndrome presented with chloride‐secreting diarrhea attributable to homozygous SLC26A3 variants. Additionally, in eight patients, NGS confirmed the genetic causes of undefined kidney diseases (8/20, 40%), and initial clinical impression and molecular diagnosis were matched in 11 patients (11/20, 55%). Moreover, we found seven novel pathogenic/likely pathogenic variants in PKD1, PKHD1, COL4A3, and SLC12A1 genes, with a possible pathogenic variant in COL4A3 (c.1229G>A) identified in two unrelated patients. These results suggest that targeted NGS‐panel testing performed with CNV analysis might be advantageous for noninvasive and comprehensive diagnosis of suspected genetic kidney diseases.</description><subject>Copy number</subject><subject>Copy number variant</subject><subject>Diarrhea</subject><subject>Differential diagnosis</subject><subject>Genetic diagnosis</subject><subject>Kidney disease</subject><subject>Kidney diseases</subject><subject>Mimicry</subject><subject>NGS panel</subject><subject>Original</subject><subject>Patients</subject><subject>Phenotypes</subject><subject>Renal disease</subject><issn>0009-9163</issn><issn>1399-0004</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><recordid>eNp1kU1uFDEQhS0EIkNgwQWQJTaw6MQeu3-8QYpGyYAUwYLsLbddnnHosRu7h6h3HIEz5iRUmBABEt6Urfrq6ZUfIS85O-F4Tu0GTrjoGvWILLhQqmKMycdkgUVVijfiiDwr5Rqfoq3VU3IkBFO1lO2C3KyGEIM1AzXjOOBlCinS5Kmh4xZimuYRbr__6E0BRz-uP9PRRBioT5m64D1kiFPAaRfMJqYSyt1siFvIYcKJL8FFmLFbABWoiY72MKfonpMn3gwFXtzXY3J1cX61el9dflp_WJ1dVlZKoSpvuVH90gplrOPc-LoVzIBvWpDO1gp39gg4BpL3Xe07zqXzkknZma6z4pi8O8iO-34HzqLbbAY95rAzedbJBP13J4at3qRvuu2EamuJAm_uBXL6uocy6V0oFoYBvyHti17KWnImxLJF9PU_6HXa54jbIdW2olFN3SH19kDZnErJ4B_McKbv0tSYpv6VJrKv_nT_QP6OD4HTA3ATBpj_r6RX6_OD5E_YiayM</recordid><startdate>202102</startdate><enddate>202102</enddate><creator>Oh, Jiyoung</creator><creator>Shin, Jae Il</creator><creator>Lee, Keumwha</creator><creator>Lee, CheolHo</creator><creator>Ko, Younhee</creator><creator>Lee, Jin‐Sung</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TK</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-3552-8465</orcidid></search><sort><creationdate>202102</creationdate><title>Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond</title><author>Oh, Jiyoung ; Shin, Jae Il ; Lee, Keumwha ; Lee, CheolHo ; Ko, Younhee ; Lee, Jin‐Sung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4439-fc1a9b2c39acd11af5730aef67e4dc59869fa9bd0e41b85f8114df40448a88c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Copy number</topic><topic>Copy number variant</topic><topic>Diarrhea</topic><topic>Differential diagnosis</topic><topic>Genetic diagnosis</topic><topic>Kidney disease</topic><topic>Kidney diseases</topic><topic>Mimicry</topic><topic>NGS panel</topic><topic>Original</topic><topic>Patients</topic><topic>Phenotypes</topic><topic>Renal disease</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Oh, Jiyoung</creatorcontrib><creatorcontrib>Shin, Jae Il</creatorcontrib><creatorcontrib>Lee, Keumwha</creatorcontrib><creatorcontrib>Lee, CheolHo</creatorcontrib><creatorcontrib>Ko, Younhee</creatorcontrib><creatorcontrib>Lee, Jin‐Sung</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Neurosciences Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical genetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Oh, Jiyoung</au><au>Shin, Jae Il</au><au>Lee, Keumwha</au><au>Lee, CheolHo</au><au>Ko, Younhee</au><au>Lee, Jin‐Sung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond</atitle><jtitle>Clinical genetics</jtitle><addtitle>Clin Genet</addtitle><date>2021-02</date><risdate>2021</risdate><volume>99</volume><issue>2</issue><spage>236</spage><epage>249</epage><pages>236-249</pages><issn>0009-9163</issn><eissn>1399-0004</eissn><abstract>Understanding the genetic causes of kidney disease is essential for accurate diagnosis and could lead to improved therapeutic strategies and prognosis. To accurately and promptly identify the genetic background of kidney diseases, we applied a targeted next‐generation sequencing gene panel including 203 genes associated with kidney disease, as well as diseases originating in other organs with mimicking symptoms of kidney disease, to analyze 51 patients with nonspecific nephrogenic symptoms, followed by validation of its efficacy as a diagnostic tool. We simultaneously screened for copy number variants (CNVs) in each patient to obtain a higher diagnostic yield (molecular diagnostic rate: 39.2%). Notably, one patient suspected of having Bartter syndrome presented with chloride‐secreting diarrhea attributable to homozygous SLC26A3 variants. Additionally, in eight patients, NGS confirmed the genetic causes of undefined kidney diseases (8/20, 40%), and initial clinical impression and molecular diagnosis were matched in 11 patients (11/20, 55%). Moreover, we found seven novel pathogenic/likely pathogenic variants in PKD1, PKHD1, COL4A3, and SLC12A1 genes, with a possible pathogenic variant in COL4A3 (c.1229G>A) identified in two unrelated patients. These results suggest that targeted NGS‐panel testing performed with CNV analysis might be advantageous for noninvasive and comprehensive diagnosis of suspected genetic kidney diseases.</abstract><cop>Oxford, UK</cop><pub>Blackwell Publishing Ltd</pub><pmid>33095447</pmid><doi>10.1111/cge.13869</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-3552-8465</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0009-9163 |
ispartof | Clinical genetics, 2021-02, Vol.99 (2), p.236-249 |
issn | 0009-9163 1399-0004 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7839754 |
source | Wiley Online Library Journals Frontfile Complete |
subjects | Copy number Copy number variant Diarrhea Differential diagnosis Genetic diagnosis Kidney disease Kidney diseases Mimicry NGS panel Original Patients Phenotypes Renal disease |
title | Clinical application of a phenotype‐based NGS panel for differential diagnosis of inherited kidney disease and beyond |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T04%3A17%3A04IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Clinical%20application%20of%20a%20phenotype%E2%80%90based%20NGS%20panel%20for%20differential%20diagnosis%20of%20inherited%20kidney%20disease%20and%20beyond&rft.jtitle=Clinical%20genetics&rft.au=Oh,%20Jiyoung&rft.date=2021-02&rft.volume=99&rft.issue=2&rft.spage=236&rft.epage=249&rft.pages=236-249&rft.issn=0009-9163&rft.eissn=1399-0004&rft_id=info:doi/10.1111/cge.13869&rft_dat=%3Cproquest_pubme%3E2454103327%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2477369658&rft_id=info:pmid/33095447&rfr_iscdi=true |