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Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initia...

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initia...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3907271

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma

About this item

Full title

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma

Publisher

New York: Nature Publishing Group US

Journal title

Nature genetics, 2014-02, Vol.46 (2), p.176-181

Language

English

Formats

Publication information

Publisher

New York: Nature Publishing Group US

More information

Scope and Contents

Contents

Jessica Okosun, Csaba Bödör and colleagues performed whole-genome or whole-exome sequencing on 10 follicular lymphoma and transformed follicular lymphoma pairs, followed by deep sequencing of 28 target genes in an additional 122 cases. They identify recurrent mutations in linker histone genes and genes involved in JAK-STAT signaling, NF-κB signalin...

Alternative Titles

Full title

Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3907271

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3907271

Other Identifiers

ISSN

1061-4036

E-ISSN

1546-1718

DOI

10.1038/ng.2856

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