Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA185822PRJNA241314PRJNA185821PRJNA185826PRJNA185825PRJNA185824PRJNA185823PRJNA185827PRJNA213744PRJNA213380PRJNA214321
PROVIDER: EGAC00001000010 | EGA |
REPOSITORIES: EGA
Papaemmanuil E E Cazzola M M Boultwood J J Malcovati L L Vyas P P Bowen D D Pellagatti A A Wainscoat J S JS Hellstrom-Lindberg E E Gambacorti-Passerini C C Godfrey A L AL Rapado I I Cvejic A A Rance R R McGee C C Ellis P P Mudie L J LJ Stephens P J PJ McLaren S S Massie C E CE Tarpey P S PS Varela I I Nik-Zainal S S Davies H R HR Shlien A A Jones D D Raine K K Hinton J J Butler A P AP Teague J W JW Baxter E J EJ Score J J Galli A A Della Porta M G MG Travaglino E E Groves M M Tauro S S Munshi N C NC Anderson K C KC El-Naggar A A Fischer A A Mustonen V V Warren A J AJ Cross N C P NC Green A R AR Futreal P A PA Stratton M R MR Campbell P J PJ
The New England journal of medicine 20110926 15
<h4>Background</h4>Myelodysplastic syndromes are a diverse and common group of chronic hematologic cancers. The identification of new genetic lesions could facilitate new diagnostic and therapeutic strategies.<h4>Methods</h4>We used massively parallel sequencing technology to identify somatically acquired point mutations across all protein-coding exons in the genome in 9 patients with low-grade myelodysplasia. Targeted resequencing of the gene encoding RNA splicing factor 3B, subunit 1 (SF3B1), ...[more]