Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV

被引:295
|
作者
Sathirapongsasuti, Jarupon Fah [1 ,2 ,3 ]
Lee, Hane [3 ,4 ]
Horst, Basil A. J. [4 ,5 ,6 ]
Brunner, Georg [7 ]
Cochran, Alistair J. [4 ]
Binder, Scott [4 ]
Quackenbush, John [1 ,2 ]
Nelson, Stanley F. [3 ,4 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
[2] Dana Farber Canc Inst, Dept Biostat & Computat Biol, Boston, MA 02115 USA
[3] Univ Calif Los Angeles, David Geffen Sch Med, Dept Human Genet, Los Angeles, CA 90095 USA
[4] Univ Calif Los Angeles, David Geffen Sch Med, Dept Pathol & Lab Med, Los Angeles, CA 90095 USA
[5] Columbia Univ, Med Ctr, Dept Dermatol, New York, NY 10032 USA
[6] Columbia Univ, Med Ctr, Dept Pathol & Cell Biol, New York, NY 10032 USA
[7] Skin Canc Ctr Hornheide, Dept Canc Res, Munster, Germany
基金
美国国家卫生研究院;
关键词
CIRCULAR BINARY SEGMENTATION; GENOME-WIDE ASSOCIATION; FREQUENCY-DISTRIBUTION; CAPTURE; GENE; MUTATIONS; QUOTIENT;
D O I
10.1093/bioinformatics/btr462
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Motivation: The ability to detect copy-number variation (CNV) and loss of heterozygosity (LOH) from exome sequencing data extends the utility of this powerful approach that has mainly been used for point or small insertion/deletion detection. Results: We present ExomeCNV, a statistical method to detect CNV and LOH using depth-of-coverage and B-allele frequencies, from mapped short sequence reads, and we assess both the method's power and the effects of confounding variables. We apply our method to a cancer exome resequencing dataset. As expected, accuracy and resolution are dependent on depth-of-coverage and capture probe design.
引用
收藏
页码:2648 / 2654
页数:7
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