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Study Description

The somatic genetic basis of chronic lymphocytic leukemia (CLL), a common and clinically heterogenous adult leukemia, remains poorly understood. Massively parallel sequencing technology now provides a method for systematic discovery of genetic alterations that underlie disease, and for uncovering new therapeutic targets and biomarkers. We present a dataset consisting of DNA sequencing from 169 CLL samples (with matched germline controls). Samples were collected from patients displaying a wide range of characteristics representing the broad clinical spectrum of CLL.

Understanding the mutational landscape of CLL provides a starting point for systematic analyses to address fundamental questions in CLL, including how mutated genes alter cellular networks and phenotypes, and thereby contribute to disease heterogeneity.

  • Study Types: Case Set, Tumor vs. Matched-Normal
  • Number of study subjects that have individual level data available through Authorized Access: 169

Authorized Access
Publicly Available Data (Public ftp)

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Molecular Data
TypeSourcePlatformNumber of Oligos/SNPsSNP Batch IdComment
Whole Genome Genotyping Affymetrix AFFY_6.0 934940 52074
Whole Exome Sequencing Agilent Agilent selected, 76bp paired end reads N/A N/A
Whole Genome Sequencing Illumina 101bp paired end reads N/A N/A
Selected publications
Diseases/Traits Related to Study (MESH terms)
Links to Related Resources
Authorized Data Access Requests
Study Attribution
  • Principal Investigators
    • Catherine Wu. Broad Institute, Cambridge, MA, Dana Farber Cancer Institute, Boston MA, USA
    • Stacey Gabriel. Broad Institute, Cambridge, MA, USA
    • Eric Lander. Broad Institute, Cambridge, MA, USA
  • Funding Source
    • National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
    • National Cancer Institute, National Institutes of Health, Bethesda, MD, USA