Identification of balanced chromosomal rearrangements previously unknown among participants in the 1000 Genomes Project: implications for interpretation of structural variation in genomes and the future of clinical cytogenetics
Recent studies demonstrate that whole-genome sequencing enables detection of cryptic rearrangements in apparently balanced chromosomal rearrangements (also known as balanced chromosomal abnormalities, BCAs) previously identified by conventional cytogenetic methods. We aimed to assess our analytical...
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Veröffentlicht in: | Genetics in medicine 2018-07, Vol.20 (7), p.697-707 |
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creator | Dong, Zirui Wang, Huilin Chen, Haixiao Jiang, Hui Yuan, Jianying Yang, Zhenjun Wang, Wen-Jing Xu, Fengping Guo, Xiaosen Cao, Ye Zhu, Zhenzhen Geng, Chunyu Cheung, Wan Chee Kwok, Yvonne K. Yang, Huanming Leung, Tak Yeung Morton, Cynthia C. Cheung, Sau Wai Choy, Kwong Wai |
description | Recent studies demonstrate that whole-genome sequencing enables detection of cryptic rearrangements in apparently balanced chromosomal rearrangements (also known as balanced chromosomal abnormalities, BCAs) previously identified by conventional cytogenetic methods. We aimed to assess our analytical tool for detecting BCAs in the 1000 Genomes Project without knowing which bands were affected.
The 1000 Genomes Project provides an unprecedented integrated map of structural variants in phenotypically normal subjects, but there is no information on potential inclusion of subjects with apparent BCAs akin to those traditionally detected in diagnostic cytogenetics laboratories. We applied our analytical tool to 1,166 genomes from the 1000 Genomes Project with sufficient physical coverage (8.25-fold).
With this approach, we detected four reciprocal balanced translocations and four inversions, ranging in size from 57.9kb to 13.3Mb, all of which were confirmed by cytogenetic methods and polymerase chain reaction studies. One of these DNAs has a subtle translocation that is not readily identified by chromosome analysis because of the similarity of the banding patterns and size of exchanged segments, and another results in disruption of all transcripts of an OMIM gene.
Our study demonstrates the extension of utilizing low-pass whole-genome sequencing for unbiased detection of BCAs including translocations and inversions previously unknown in the 1000 Genomes Project. |
doi_str_mv | 10.1038/gim.2017.170 |
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The 1000 Genomes Project provides an unprecedented integrated map of structural variants in phenotypically normal subjects, but there is no information on potential inclusion of subjects with apparent BCAs akin to those traditionally detected in diagnostic cytogenetics laboratories. We applied our analytical tool to 1,166 genomes from the 1000 Genomes Project with sufficient physical coverage (8.25-fold).
With this approach, we detected four reciprocal balanced translocations and four inversions, ranging in size from 57.9kb to 13.3Mb, all of which were confirmed by cytogenetic methods and polymerase chain reaction studies. One of these DNAs has a subtle translocation that is not readily identified by chromosome analysis because of the similarity of the banding patterns and size of exchanged segments, and another results in disruption of all transcripts of an OMIM gene.
Our study demonstrates the extension of utilizing low-pass whole-genome sequencing for unbiased detection of BCAs including translocations and inversions previously unknown in the 1000 Genomes Project.</description><identifier>ISSN: 1098-3600</identifier><identifier>EISSN: 1530-0366</identifier><identifier>DOI: 10.1038/gim.2017.170</identifier><identifier>PMID: 29095815</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Biomedical and Life Sciences ; Biomedicine ; Chromosome Aberrations ; Chromosome Disorders - diagnosis ; Chromosome Inversion - genetics ; Chromosomes ; Chromosomes - genetics ; Cytogenetic Analysis - methods ; Cytogenetics ; Gene Rearrangement - genetics ; Genome - genetics ; Genomes ; Human Genetics ; Human Genome Project ; Humans ; Karyotyping - methods ; Laboratory Medicine ; Translocation, Genetic - genetics ; Whole Genome Sequencing - methods</subject><ispartof>Genetics in medicine, 2018-07, Vol.20 (7), p.697-707</ispartof><rights>2018 The Author(s)</rights><rights>American College of Medical Genetics and Genomics 2017</rights><rights>Copyright Nature Publishing Group Jul 2018</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c497t-f8d19e4b264206806bb2499ab24438a9a38f357fa0cb4577bafc7334a54fe953</citedby><cites>FETCH-LOGICAL-c497t-f8d19e4b264206806bb2499ab24438a9a38f357fa0cb4577bafc7334a54fe953</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29095815$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dong, Zirui</creatorcontrib><creatorcontrib>Wang, Huilin</creatorcontrib><creatorcontrib>Chen, Haixiao</creatorcontrib><creatorcontrib>Jiang, Hui</creatorcontrib><creatorcontrib>Yuan, Jianying</creatorcontrib><creatorcontrib>Yang, Zhenjun</creatorcontrib><creatorcontrib>Wang, Wen-Jing</creatorcontrib><creatorcontrib>Xu, Fengping</creatorcontrib><creatorcontrib>Guo, Xiaosen</creatorcontrib><creatorcontrib>Cao, Ye</creatorcontrib><creatorcontrib>Zhu, Zhenzhen</creatorcontrib><creatorcontrib>Geng, Chunyu</creatorcontrib><creatorcontrib>Cheung, Wan Chee</creatorcontrib><creatorcontrib>Kwok, Yvonne K.</creatorcontrib><creatorcontrib>Yang, Huanming</creatorcontrib><creatorcontrib>Leung, Tak Yeung</creatorcontrib><creatorcontrib>Morton, Cynthia C.</creatorcontrib><creatorcontrib>Cheung, Sau Wai</creatorcontrib><creatorcontrib>Choy, Kwong Wai</creatorcontrib><title>Identification of balanced chromosomal rearrangements previously unknown among participants in the 1000 Genomes Project: implications for interpretation of structural variation in genomes and the future of clinical cytogenetics</title><title>Genetics in medicine</title><addtitle>Genet Med</addtitle><addtitle>Genet Med</addtitle><description>Recent studies demonstrate that whole-genome sequencing enables detection of cryptic rearrangements in apparently balanced chromosomal rearrangements (also known as balanced chromosomal abnormalities, BCAs) previously identified by conventional cytogenetic methods. We aimed to assess our analytical tool for detecting BCAs in the 1000 Genomes Project without knowing which bands were affected.
The 1000 Genomes Project provides an unprecedented integrated map of structural variants in phenotypically normal subjects, but there is no information on potential inclusion of subjects with apparent BCAs akin to those traditionally detected in diagnostic cytogenetics laboratories. We applied our analytical tool to 1,166 genomes from the 1000 Genomes Project with sufficient physical coverage (8.25-fold).
With this approach, we detected four reciprocal balanced translocations and four inversions, ranging in size from 57.9kb to 13.3Mb, all of which were confirmed by cytogenetic methods and polymerase chain reaction studies. One of these DNAs has a subtle translocation that is not readily identified by chromosome analysis because of the similarity of the banding patterns and size of exchanged segments, and another results in disruption of all transcripts of an OMIM gene.
Our study demonstrates the extension of utilizing low-pass whole-genome sequencing for unbiased detection of BCAs including translocations and inversions previously unknown in the 1000 Genomes Project.</description><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Chromosome Aberrations</subject><subject>Chromosome Disorders - diagnosis</subject><subject>Chromosome Inversion - genetics</subject><subject>Chromosomes</subject><subject>Chromosomes - genetics</subject><subject>Cytogenetic Analysis - methods</subject><subject>Cytogenetics</subject><subject>Gene Rearrangement - genetics</subject><subject>Genome - genetics</subject><subject>Genomes</subject><subject>Human Genetics</subject><subject>Human Genome Project</subject><subject>Humans</subject><subject>Karyotyping - methods</subject><subject>Laboratory Medicine</subject><subject>Translocation, Genetic - genetics</subject><subject>Whole Genome Sequencing - methods</subject><issn>1098-3600</issn><issn>1530-0366</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kk-P1CAYxhujcdfVm2dD4tWOUPoPDyZmo-smm-hh7-QthRnGFirQMfN5_SK-teOoiV6AwI_neQJPlj1ndMMob19v7bgpKGs2rKEPsktWcZpTXtcPcU1Fm_Oa0ovsSYx7ihQv6OPsohBUVC2rLrPvt712yRqrIFnviDekgwGc0j1Ru-BHH_0IAwkaQgC31SPikUxBH6yf43Aks_vi_DdHYPRuSyYIySo7wUJZR9JOE0YpJTfa-VFH8jn4vVbpDbHjNJxcIzE-IJ10QOF0ThJTmFWaA_ofINh1H0W3Jy1w_U8DMyOklxtqsA5FB6KOySOmMUx8mj0yMET97DRfZfcf3t9ff8zvPt3cXr-7y1UpmpSbtmdCl11RlwWtW1p3XVEKATiWvAUBvDW8agxQ1ZVV03RgVMN5CVVptKj4VfZ2lZ3mbtS9wofC5HIKdoRwlB6s_PvE2Z3c-oOsBC-KlqLAy5NA8F9nHZPc-zk4jCwxkOBt0QiG1KuVUsHHGLQ5OzAql0ZIbIRcGiGxEYi_-DPVGf5VAQTyFYh4hB8cfrv-R7BeeY1PebDIR2X1Uhgb8GNl7-2_L_4ALLnbdA</recordid><startdate>20180701</startdate><enddate>20180701</enddate><creator>Dong, Zirui</creator><creator>Wang, Huilin</creator><creator>Chen, Haixiao</creator><creator>Jiang, Hui</creator><creator>Yuan, Jianying</creator><creator>Yang, Zhenjun</creator><creator>Wang, Wen-Jing</creator><creator>Xu, Fengping</creator><creator>Guo, Xiaosen</creator><creator>Cao, Ye</creator><creator>Zhu, Zhenzhen</creator><creator>Geng, Chunyu</creator><creator>Cheung, Wan Chee</creator><creator>Kwok, Yvonne K.</creator><creator>Yang, Huanming</creator><creator>Leung, Tak Yeung</creator><creator>Morton, Cynthia C.</creator><creator>Cheung, Sau Wai</creator><creator>Choy, Kwong Wai</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>5PM</scope></search><sort><creationdate>20180701</creationdate><title>Identification of balanced chromosomal rearrangements previously unknown among participants in the 1000 Genomes Project: implications for interpretation of structural variation in genomes and the future of clinical cytogenetics</title><author>Dong, Zirui ; Wang, Huilin ; Chen, Haixiao ; Jiang, Hui ; Yuan, Jianying ; Yang, Zhenjun ; Wang, Wen-Jing ; Xu, Fengping ; Guo, Xiaosen ; Cao, Ye ; Zhu, Zhenzhen ; Geng, Chunyu ; Cheung, Wan Chee ; Kwok, Yvonne K. ; Yang, Huanming ; Leung, Tak Yeung ; Morton, Cynthia C. ; Cheung, Sau Wai ; Choy, Kwong Wai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c497t-f8d19e4b264206806bb2499ab24438a9a38f357fa0cb4577bafc7334a54fe953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Chromosome Aberrations</topic><topic>Chromosome Disorders - diagnosis</topic><topic>Chromosome Inversion - genetics</topic><topic>Chromosomes</topic><topic>Chromosomes - genetics</topic><topic>Cytogenetic Analysis - methods</topic><topic>Cytogenetics</topic><topic>Gene Rearrangement - genetics</topic><topic>Genome - genetics</topic><topic>Genomes</topic><topic>Human Genetics</topic><topic>Human Genome Project</topic><topic>Humans</topic><topic>Karyotyping - methods</topic><topic>Laboratory Medicine</topic><topic>Translocation, Genetic - genetics</topic><topic>Whole Genome Sequencing - methods</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Zirui</creatorcontrib><creatorcontrib>Wang, Huilin</creatorcontrib><creatorcontrib>Chen, Haixiao</creatorcontrib><creatorcontrib>Jiang, Hui</creatorcontrib><creatorcontrib>Yuan, Jianying</creatorcontrib><creatorcontrib>Yang, Zhenjun</creatorcontrib><creatorcontrib>Wang, Wen-Jing</creatorcontrib><creatorcontrib>Xu, Fengping</creatorcontrib><creatorcontrib>Guo, Xiaosen</creatorcontrib><creatorcontrib>Cao, Ye</creatorcontrib><creatorcontrib>Zhu, Zhenzhen</creatorcontrib><creatorcontrib>Geng, Chunyu</creatorcontrib><creatorcontrib>Cheung, Wan Chee</creatorcontrib><creatorcontrib>Kwok, Yvonne K.</creatorcontrib><creatorcontrib>Yang, Huanming</creatorcontrib><creatorcontrib>Leung, Tak Yeung</creatorcontrib><creatorcontrib>Morton, Cynthia C.</creatorcontrib><creatorcontrib>Cheung, Sau Wai</creatorcontrib><creatorcontrib>Choy, Kwong Wai</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>PubMed Central (Full Participant titles)</collection><jtitle>Genetics in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Zirui</au><au>Wang, Huilin</au><au>Chen, Haixiao</au><au>Jiang, Hui</au><au>Yuan, Jianying</au><au>Yang, Zhenjun</au><au>Wang, Wen-Jing</au><au>Xu, Fengping</au><au>Guo, Xiaosen</au><au>Cao, Ye</au><au>Zhu, Zhenzhen</au><au>Geng, Chunyu</au><au>Cheung, Wan Chee</au><au>Kwok, Yvonne K.</au><au>Yang, Huanming</au><au>Leung, Tak Yeung</au><au>Morton, Cynthia C.</au><au>Cheung, Sau Wai</au><au>Choy, Kwong Wai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of balanced chromosomal rearrangements previously unknown among participants in the 1000 Genomes Project: implications for interpretation of structural variation in genomes and the future of clinical cytogenetics</atitle><jtitle>Genetics in medicine</jtitle><stitle>Genet Med</stitle><addtitle>Genet Med</addtitle><date>2018-07-01</date><risdate>2018</risdate><volume>20</volume><issue>7</issue><spage>697</spage><epage>707</epage><pages>697-707</pages><issn>1098-3600</issn><eissn>1530-0366</eissn><abstract>Recent studies demonstrate that whole-genome sequencing enables detection of cryptic rearrangements in apparently balanced chromosomal rearrangements (also known as balanced chromosomal abnormalities, BCAs) previously identified by conventional cytogenetic methods. We aimed to assess our analytical tool for detecting BCAs in the 1000 Genomes Project without knowing which bands were affected.
The 1000 Genomes Project provides an unprecedented integrated map of structural variants in phenotypically normal subjects, but there is no information on potential inclusion of subjects with apparent BCAs akin to those traditionally detected in diagnostic cytogenetics laboratories. We applied our analytical tool to 1,166 genomes from the 1000 Genomes Project with sufficient physical coverage (8.25-fold).
With this approach, we detected four reciprocal balanced translocations and four inversions, ranging in size from 57.9kb to 13.3Mb, all of which were confirmed by cytogenetic methods and polymerase chain reaction studies. One of these DNAs has a subtle translocation that is not readily identified by chromosome analysis because of the similarity of the banding patterns and size of exchanged segments, and another results in disruption of all transcripts of an OMIM gene.
Our study demonstrates the extension of utilizing low-pass whole-genome sequencing for unbiased detection of BCAs including translocations and inversions previously unknown in the 1000 Genomes Project.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><pmid>29095815</pmid><doi>10.1038/gim.2017.170</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Biomedical and Life Sciences Biomedicine Chromosome Aberrations Chromosome Disorders - diagnosis Chromosome Inversion - genetics Chromosomes Chromosomes - genetics Cytogenetic Analysis - methods Cytogenetics Gene Rearrangement - genetics Genome - genetics Genomes Human Genetics Human Genome Project Humans Karyotyping - methods Laboratory Medicine Translocation, Genetic - genetics Whole Genome Sequencing - methods |
title | Identification of balanced chromosomal rearrangements previously unknown among participants in the 1000 Genomes Project: implications for interpretation of structural variation in genomes and the future of clinical cytogenetics |
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