Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes
To examine the impact of a targeted exome approach for the molecular diagnosis of patients nationwide with a wide range of ataxia-related phenotypes. One hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a ta...
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Veröffentlicht in: | Genetics in medicine 2019-01, Vol.21 (1), p.195-206 |
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creator | Sun, Miao Johnson, Amy Knight Nelakuditi, Viswateja Guidugli, Lucia Fischer, David Arndt, Kelly Ma, Lan Sandford, Erin Shakkottai, Vikram Boycott, Kym Chardon, Jodi Warman Li, Zejuan del Gaudio, Daniela Burmeister, Margit Gomez, Christopher M. Waggoner, Darrel J. Das, Soma |
description | To examine the impact of a targeted exome approach for the molecular diagnosis of patients nationwide with a wide range of ataxia-related phenotypes.
One hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a targeted exome approach. Patients ranged in age from 2 to 88 years. Analysis was focused on 441 curated genes associated with ataxia and ataxia-like conditions.
Pathogenic and suspected diagnostic variants were identified in 88 of the 170 patients, providing a positive molecular diagnostic rate of 52%. Forty-six different genes were implicated, with the six most commonly mutated genes being SPG7, SYNE1, ADCK3, CACNA1A, ATP1A3, and SPTBN2, which accounted for >40% of the positive cases. In many cases a diagnosis was provided for conditions that were not suspected and resulted in the broadening of the clinical spectrum of several conditions.
Exome sequencing with targeted analysis provides a high-yield approach for the genetic diagnosis of ataxia-related conditions. This is the largest targeted exome study performed to date in patients with ataxia and ataxia-like conditions and represents patients with a wide range of ataxia phenotypes typically encountered in neurology and genetics clinics. |
doi_str_mv | 10.1038/s41436-018-0007-7 |
format | Article |
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One hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a targeted exome approach. Patients ranged in age from 2 to 88 years. Analysis was focused on 441 curated genes associated with ataxia and ataxia-like conditions.
Pathogenic and suspected diagnostic variants were identified in 88 of the 170 patients, providing a positive molecular diagnostic rate of 52%. Forty-six different genes were implicated, with the six most commonly mutated genes being SPG7, SYNE1, ADCK3, CACNA1A, ATP1A3, and SPTBN2, which accounted for >40% of the positive cases. In many cases a diagnosis was provided for conditions that were not suspected and resulted in the broadening of the clinical spectrum of several conditions.
Exome sequencing with targeted analysis provides a high-yield approach for the genetic diagnosis of ataxia-related conditions. This is the largest targeted exome study performed to date in patients with ataxia and ataxia-like conditions and represents patients with a wide range of ataxia phenotypes typically encountered in neurology and genetics clinics.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/s41436-018-0007-7</identifier><identifier>PMID: 29915382</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Ataxia ; Ataxia - classification ; Ataxia - diagnosis ; Ataxia - genetics ; Ataxia - pathology ; Biomedicine ; Canada ; Child ; Child, Preschool ; clinical ; diagnosis ; Exome - genetics ; exome sequencing ; Female ; Genetic Predisposition to Disease ; Human Genetics ; Humans ; Laboratory Medicine ; Male ; Middle Aged ; molecular genetics ; Mutation - genetics ; Phenotype ; Sequence Analysis, DNA ; Whole Exome Sequencing ; Young Adult</subject><ispartof>Genetics in medicine, 2019-01, Vol.21 (1), p.195-206</ispartof><rights>2019 The Author(s)</rights><rights>American College of Medical Genetics and Genomics 2018</rights><rights>Copyright Nature Publishing Group Jan 2019</rights><rights>American College of Medical Genetics and Genomics 2018.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c495t-b8f8afc3fa7ef8bc0d333b0fd20b8eb56779fd5077b6ae18f27f9a44dee9c2373</citedby><cites>FETCH-LOGICAL-c495t-b8f8afc3fa7ef8bc0d333b0fd20b8eb56779fd5077b6ae18f27f9a44dee9c2373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2584146397?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29915382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sun, Miao</creatorcontrib><creatorcontrib>Johnson, Amy Knight</creatorcontrib><creatorcontrib>Nelakuditi, Viswateja</creatorcontrib><creatorcontrib>Guidugli, Lucia</creatorcontrib><creatorcontrib>Fischer, David</creatorcontrib><creatorcontrib>Arndt, Kelly</creatorcontrib><creatorcontrib>Ma, Lan</creatorcontrib><creatorcontrib>Sandford, Erin</creatorcontrib><creatorcontrib>Shakkottai, Vikram</creatorcontrib><creatorcontrib>Boycott, Kym</creatorcontrib><creatorcontrib>Chardon, Jodi Warman</creatorcontrib><creatorcontrib>Li, Zejuan</creatorcontrib><creatorcontrib>del Gaudio, Daniela</creatorcontrib><creatorcontrib>Burmeister, Margit</creatorcontrib><creatorcontrib>Gomez, Christopher M.</creatorcontrib><creatorcontrib>Waggoner, Darrel J.</creatorcontrib><creatorcontrib>Das, Soma</creatorcontrib><title>Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>To examine the impact of a targeted exome approach for the molecular diagnosis of patients nationwide with a wide range of ataxia-related phenotypes.
One hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a targeted exome approach. Patients ranged in age from 2 to 88 years. Analysis was focused on 441 curated genes associated with ataxia and ataxia-like conditions.
Pathogenic and suspected diagnostic variants were identified in 88 of the 170 patients, providing a positive molecular diagnostic rate of 52%. Forty-six different genes were implicated, with the six most commonly mutated genes being SPG7, SYNE1, ADCK3, CACNA1A, ATP1A3, and SPTBN2, which accounted for >40% of the positive cases. In many cases a diagnosis was provided for conditions that were not suspected and resulted in the broadening of the clinical spectrum of several conditions.
Exome sequencing with targeted analysis provides a high-yield approach for the genetic diagnosis of ataxia-related conditions. This is the largest targeted exome study performed to date in patients with ataxia and ataxia-like conditions and represents patients with a wide range of ataxia phenotypes typically encountered in neurology and genetics clinics.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Ataxia</subject><subject>Ataxia - classification</subject><subject>Ataxia - diagnosis</subject><subject>Ataxia - genetics</subject><subject>Ataxia - pathology</subject><subject>Biomedicine</subject><subject>Canada</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>clinical</subject><subject>diagnosis</subject><subject>Exome - genetics</subject><subject>exome sequencing</subject><subject>Female</subject><subject>Genetic Predisposition to Disease</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Laboratory Medicine</subject><subject>Male</subject><subject>Middle Aged</subject><subject>molecular genetics</subject><subject>Mutation - genetics</subject><subject>Phenotype</subject><subject>Sequence Analysis, DNA</subject><subject>Whole Exome Sequencing</subject><subject>Young Adult</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kU9r3DAQxU1padK0H6CXIiiFXpyMLNuS6amE_gkEeknOYiyNdhW8titpk-wX6OeujNMWetjTCM3vvYH3iuIth3MOQl3EmteiLYGrEgBkKZ8Vp7wRUIJo2-f5DZ0qRQtwUryK8Q6AS1HBy-Kk6rrMqeq0-HWDYUOJLKPHaUcMRxwO0UfmLY3JO0-RpS2xDY2UvGE9LsvJMesjYSTmRzbdU2ANfFi-Z0w-CyN78GnLMA9LLOC4oWWLCR89loEGXE7OWxqndJgpvi5eOBwivXmaZ8Xt1y83l9_L6x_fri4_X5em7ppU9sopdEY4lORUb8AKIXpwtoJeUd-0UnbONiBl3yJx5SrpOqxrS9SZSkhxVnxcfecw_dxTTHrno6FhwJGmfdQVNJLz7AMZff8fejftQ44nU43Kybeik0cp3jYccgd1pvhKmTDFGMjpOfgdhoPmoJcq9VqlzlXqpUq9OL97ct73O7J_FX-6y0C1AjGvcsDh3-ljrp9WEeWU730WRZMLM2R9IJO0nfwR9W-NQrzr</recordid><startdate>201901</startdate><enddate>201901</enddate><creator>Sun, Miao</creator><creator>Johnson, Amy Knight</creator><creator>Nelakuditi, Viswateja</creator><creator>Guidugli, Lucia</creator><creator>Fischer, David</creator><creator>Arndt, Kelly</creator><creator>Ma, Lan</creator><creator>Sandford, Erin</creator><creator>Shakkottai, Vikram</creator><creator>Boycott, Kym</creator><creator>Chardon, Jodi Warman</creator><creator>Li, Zejuan</creator><creator>del Gaudio, Daniela</creator><creator>Burmeister, Margit</creator><creator>Gomez, Christopher M.</creator><creator>Waggoner, Darrel J.</creator><creator>Das, Soma</creator><general>Elsevier Inc</general><general>Nature Publishing Group US</general><general>Elsevier Limited</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>201901</creationdate><title>Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes</title><author>Sun, Miao ; Johnson, Amy Knight ; Nelakuditi, Viswateja ; Guidugli, Lucia ; Fischer, David ; Arndt, Kelly ; Ma, Lan ; Sandford, Erin ; Shakkottai, Vikram ; Boycott, Kym ; Chardon, Jodi Warman ; Li, Zejuan ; del Gaudio, Daniela ; Burmeister, Margit ; Gomez, Christopher M. ; Waggoner, Darrel J. ; Das, Soma</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c495t-b8f8afc3fa7ef8bc0d333b0fd20b8eb56779fd5077b6ae18f27f9a44dee9c2373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Ataxia</topic><topic>Ataxia - classification</topic><topic>Ataxia - diagnosis</topic><topic>Ataxia - genetics</topic><topic>Ataxia - pathology</topic><topic>Biomedicine</topic><topic>Canada</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>clinical</topic><topic>diagnosis</topic><topic>Exome - genetics</topic><topic>exome sequencing</topic><topic>Female</topic><topic>Genetic Predisposition to Disease</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Laboratory Medicine</topic><topic>Male</topic><topic>Middle Aged</topic><topic>molecular genetics</topic><topic>Mutation - genetics</topic><topic>Phenotype</topic><topic>Sequence Analysis, DNA</topic><topic>Whole Exome Sequencing</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Miao</creatorcontrib><creatorcontrib>Johnson, Amy Knight</creatorcontrib><creatorcontrib>Nelakuditi, Viswateja</creatorcontrib><creatorcontrib>Guidugli, Lucia</creatorcontrib><creatorcontrib>Fischer, David</creatorcontrib><creatorcontrib>Arndt, Kelly</creatorcontrib><creatorcontrib>Ma, Lan</creatorcontrib><creatorcontrib>Sandford, Erin</creatorcontrib><creatorcontrib>Shakkottai, Vikram</creatorcontrib><creatorcontrib>Boycott, Kym</creatorcontrib><creatorcontrib>Chardon, Jodi Warman</creatorcontrib><creatorcontrib>Li, Zejuan</creatorcontrib><creatorcontrib>del Gaudio, Daniela</creatorcontrib><creatorcontrib>Burmeister, Margit</creatorcontrib><creatorcontrib>Gomez, Christopher M.</creatorcontrib><creatorcontrib>Waggoner, Darrel J.</creatorcontrib><creatorcontrib>Das, Soma</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Miao</au><au>Johnson, Amy Knight</au><au>Nelakuditi, Viswateja</au><au>Guidugli, Lucia</au><au>Fischer, David</au><au>Arndt, Kelly</au><au>Ma, Lan</au><au>Sandford, Erin</au><au>Shakkottai, Vikram</au><au>Boycott, Kym</au><au>Chardon, Jodi Warman</au><au>Li, Zejuan</au><au>del Gaudio, Daniela</au><au>Burmeister, Margit</au><au>Gomez, Christopher M.</au><au>Waggoner, Darrel J.</au><au>Das, Soma</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2019-01</date><risdate>2019</risdate><volume>21</volume><issue>1</issue><spage>195</spage><epage>206</epage><pages>195-206</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>To examine the impact of a targeted exome approach for the molecular diagnosis of patients nationwide with a wide range of ataxia-related phenotypes.
One hundred and seventy patients with ataxia of unknown etiology referred from clinics throughout the United States and Canada were studied using a targeted exome approach. Patients ranged in age from 2 to 88 years. Analysis was focused on 441 curated genes associated with ataxia and ataxia-like conditions.
Pathogenic and suspected diagnostic variants were identified in 88 of the 170 patients, providing a positive molecular diagnostic rate of 52%. Forty-six different genes were implicated, with the six most commonly mutated genes being SPG7, SYNE1, ADCK3, CACNA1A, ATP1A3, and SPTBN2, which accounted for >40% of the positive cases. In many cases a diagnosis was provided for conditions that were not suspected and resulted in the broadening of the clinical spectrum of several conditions.
Exome sequencing with targeted analysis provides a high-yield approach for the genetic diagnosis of ataxia-related conditions. This is the largest targeted exome study performed to date in patients with ataxia and ataxia-like conditions and represents patients with a wide range of ataxia phenotypes typically encountered in neurology and genetics clinics.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><pmid>29915382</pmid><doi>10.1038/s41436-018-0007-7</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adolescent Adult Aged Aged, 80 and over Ataxia Ataxia - classification Ataxia - diagnosis Ataxia - genetics Ataxia - pathology Biomedicine Canada Child Child, Preschool clinical diagnosis Exome - genetics exome sequencing Female Genetic Predisposition to Disease Human Genetics Humans Laboratory Medicine Male Middle Aged molecular genetics Mutation - genetics Phenotype Sequence Analysis, DNA Whole Exome Sequencing Young Adult |
title | Targeted exome analysis identifies the genetic basis of disease in over 50% of patients with a wide range of ataxia-related phenotypes |
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