Unknown

Dataset Information

0

A streamlined method for detecting structural variants in cancer genomes by short read paired-end sequencing.


ABSTRACT: Defining the architecture of a specific cancer genome, including its structural variants, is essential for understanding tumor biology, mechanisms of oncogenesis, and for designing effective personalized therapies. Short read paired-end sequencing is currently the most sensitive method for detecting somatic mutations that arise during tumor development. However, mapping structural variants using this method leads to a large number of false positive calls, mostly due to the repetitive nature of the genome and the difficulty of assigning correct mapping positions to short reads. This study describes a method to efficiently identify large tumor-specific deletions, inversions, duplications and translocations from low coverage data using SVDetect or BreakDancer software and a set of novel filtering procedures designed to reduce false positive calls. Applying our method to a spontaneous T cell lymphoma arising in a core RAG2/p53-deficient mouse, we identified 40 validated tumor-specific structural rearrangements supported by as few as 2 independent read pairs.

SUBMITTER: Mijuskovic M 

PROVIDER: S-EPMC3483208 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

altmetric image

Publications

A streamlined method for detecting structural variants in cancer genomes by short read paired-end sequencing.

Mijušković Martina M   Brown Stuart M SM   Tang Zuojian Z   Lindsay Cory R CR   Efstathiadis Efstratios E   Deriano Ludovic L   Roth David B DB  

PloS one 20121029 10


Defining the architecture of a specific cancer genome, including its structural variants, is essential for understanding tumor biology, mechanisms of oncogenesis, and for designing effective personalized therapies. Short read paired-end sequencing is currently the most sensitive method for detecting somatic mutations that arise during tumor development. However, mapping structural variants using this method leads to a large number of false positive calls, mostly due to the repetitive nature of t  ...[more]

Similar Datasets

| S-EPMC5657049 | biostudies-literature
| S-EPMC5020871 | biostudies-literature
| S-EPMC6836508 | biostudies-literature
| S-EPMC3358655 | biostudies-literature
| S-EPMC6771380 | biostudies-literature
| S-EPMC2813482 | biostudies-literature
| S-EPMC8144375 | biostudies-literature
| S-EPMC6288141 | biostudies-literature
| S-EPMC3076424 | biostudies-literature
| S-EPMC8457494 | biostudies-literature