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1000 Titel
  • Comprehensive assessment of sequence variation within the copy number variable defensin cluster on 8p23 by target enriched in-depth 454 sequencing
1000 Autor/in
  1. Taudien, Stefan |
  2. Szafranski, Karol |
  3. Felder, Marius |
  4. Groth, Marco |
  5. Huse, Klaus |
  6. Raffaelli, Francesca |
  7. Petzold, Andreas |
  8. Zhang, Xinmin |
  9. Rosenstiel, Philip |
  10. Hampe, Jochen |
  11. Schreiber, Stefan |
  12. Platzer, Matthias |
1000 Erscheinungsjahr 2011
1000 LeibnizOpen
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2011-05-18
1000 Erschienen in
1000 Quellenangabe
  • 12: 243
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2011
1000 Lizenz
1000 Verlagsversion
  • https://dx.doi.org/10.1186/1471-2164-12-243 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3118217/ |
1000 Ergänzendes Material
  • https://bmcgenomics.biomedcentral.com/articles/10.1186/1471-2164-12-243#Declarations |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: In highly copy number variable (CNV) regions such as the human defensin gene locus, comprehensive assessment of sequence variations is challenging. PCR approaches are practically restricted to tiny fractions, and next-generation sequencing (NGS) approaches of whole individual genomes e.g. by the 1000 Genomes Project is confined by an affordable sequence depth. Combining target enrichment with NGS may represent a feasible approach. RESULTS: As a proof of principle, we enriched a ~850 kb section comprising the CNV defensin gene cluster DEFB, the invariable DEFA part and 11 control regions from two genomes by sequence capture and sequenced it by 454 technology. 6,651 differences to the human reference genome were found. Comparison to HapMap genotypes revealed sensitivities and specificities in the range of 94% to 99% for the identification of variations. Using error probabilities for rigorous filtering revealed 2,886 unique single nucleotide variations (SNVs) including 358 putative novel ones. DEFB CN determinations by haplotype ratios were in agreement with alternative methods. CONCLUSION: Although currently labor extensive and having high costs, target enriched NGS provides a powerful tool for the comprehensive assessment of SNVs in highly polymorphic CNV regions of individual genomes. Furthermore, it reveals considerable amounts of putative novel variations and simultaneously allows CN estimation.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/VGF1ZGllbiwgU3RlZmFu|https://frl.publisso.de/adhoc/creator/U3phZnJhbnNraSwgS2Fyb2w=|https://frl.publisso.de/adhoc/creator/RmVsZGVyLCBNYXJpdXM=|http://orcid.org/0000-0002-9199-8990|http://orcid.org/0000-0003-3854-1884|https://frl.publisso.de/adhoc/creator/UmFmZmFlbGxpLCBGcmFuY2VzY2E=|https://frl.publisso.de/adhoc/creator/UGV0em9sZCwgQW5kcmVhcw==|https://frl.publisso.de/adhoc/creator/WmhhbmcsIFhpbm1pbg==|https://frl.publisso.de/adhoc/creator/Um9zZW5zdGllbCwgUGhpbGlw|https://frl.publisso.de/adhoc/creator/SGFtcGUsIEpvY2hlbg==|https://frl.publisso.de/adhoc/creator/U2NocmVpYmVyLCBTdGVmYW4=|http://orcid.org/0000-0003-0596-8582
1000 Label
1000 Förderer
  1. Bundesministerium fur Bildung und Forschung |
  2. Network of Environmental Disorders |
1000 Fördernummer
  1. 01GS08182
  2. 01GS0809
1000 Förderprogramm
  1. -
  2. GP9 project
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Bundesministerium fur Bildung und Forschung |
    1000 Förderprogramm -
    1000 Fördernummer 01GS08182
  2. 1000 joinedFunding-child
    1000 Förderer Network of Environmental Disorders |
    1000 Förderprogramm GP9 project
    1000 Fördernummer 01GS0809
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6403337.rdf
1000 Erstellt am 2017-07-04T10:37:40.271+0200
1000 Erstellt von 21
1000 beschreibt frl:6403337
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2020-11-25T13:19:17.972+0100
1000 Objekt bearb. Wed Nov 25 13:19:17 CET 2020
1000 Vgl. frl:6403337
1000 Oai Id
  1. oai:frl.publisso.de:frl:6403337 |
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