scispace - formally typeset
Open AccessJournal ArticleDOI

DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome

Reads0
Chats0
TLDR
This study establishes whole-genome sequencing as an unbiased method for discovering cancer-initiating mutations in previously unidentified genes that may respond to targeted therapies.
Abstract
Acute myeloid leukaemia is a highly malignant haematopoietic tumour that affects about 13,000 adults in the United States each year. The treatment of this disease has changed little in the past two decades, because most of the genetic events that initiate the disease remain undiscovered. Whole-genome sequencing is now possible at a reasonable cost and timeframe to use this approach for the unbiased discovery of tumour-specific somatic mutations that alter the protein-coding genes. Here we present the results obtained from sequencing a typical acute myeloid leukaemia genome, and its matched normal counterpart obtained from the same patient's skin. We discovered ten genes with acquired mutations; two were previously described mutations that are thought to contribute to tumour progression, and eight were new mutations present in virtually all tumour cells at presentation and relapse, the function of which is not yet known. Our study establishes whole-genome sequencing as an unbiased method for discovering cancer-initiating mutations in previously unidentified genes that may respond to targeted therapies.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

TL;DR: Bowtie extends previous Burrows-Wheeler techniques with a novel quality-aware backtracking algorithm that permits mismatches and can be used simultaneously to achieve even greater alignment speeds.
Journal ArticleDOI

Sequencing technologies-the next generation

TL;DR: A technical review of template preparation, sequencing and imaging, genome alignment and assembly approaches, and recent advances in current and near-term commercially available NGS instruments is presented.
Journal ArticleDOI

A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data

TL;DR: This work presents a statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data without explicit genotyping or linkage-based imputation and demonstrates that this method achieves comparable accuracy to alternative methods for estimating site allele count, for inferring allele frequency spectrum and for association mapping.
Journal ArticleDOI

VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing

TL;DR: An analysis tool for the detection of somatic mutations and copy number alterations in exome data from tumor-normal pairs is presented and new light is shed on the landscape of genetic alterations in ovarian cancer.
Journal ArticleDOI

The cancer genome

TL;DR: This work has shown that the complete DNA sequence of large numbers of cancer genomes will be possible to obtain and will provide a detailed and comprehensive perspective on how individual cancers have developed.
References
More filters
Book

C4.5: Programs for Machine Learning

TL;DR: A complete guide to the C4.5 system as implemented in C for the UNIX environment, which starts from simple core learning methods and shows how they can be elaborated and extended to deal with typical problems such as missing data and over hitting.
Journal ArticleDOI

Cancer statistics, 2008.

TL;DR: This report examines cancer incidence, mortality, and survival by site, sex, race/ethnicity, education, geographic area, and calendar year, as well as the proportionate contribution of selected sites to the overall trends.
Journal ArticleDOI

BLAT—The BLAST-Like Alignment Tool

TL;DR: How BLAT was optimized is described, which is more accurate and 500 times faster than popular existing tools for mRNA/DNA alignments and 50 times faster for protein alignments at sensitivity settings typically used when comparing vertebrate sequences.

Programs for Machine Learning

TL;DR: In his new book, C4.5: Programs for Machine Learning, Quinlan has put together a definitive, much needed description of his complete system, including the latest developments, which will be a welcome addition to the library of many researchers and students.
Journal ArticleDOI

SIFT: predicting amino acid changes that affect protein function

TL;DR: SIFT is a program that predicts whether an amino acid substitution affects protein function so that users can prioritize substitutions for further study and can distinguish between functionally neutral and deleterious amino acid changes in mutagenesis studies and on human polymorphisms.
Related Papers (5)

Accurate whole human genome sequencing using reversible terminator chemistry

David R. Bentley, +201 more
- 06 Nov 2008 - 

Initial sequencing and analysis of the human genome.

Eric S. Lander, +248 more
- 15 Feb 2001 -