CONTRA: copy number analysis for targeted resequencing

被引:260
|
作者
Li, Jason [1 ]
Lupat, Richard [1 ,2 ]
Amarasinghe, Kaushalya C. [3 ]
Thompson, Ella R. [2 ]
Doyle, Maria A. [1 ]
Ryland, Georgina L. [2 ]
Tothill, Richard W. [4 ]
Halgamuge, Saman K. [3 ]
Campbell, Ian G. [2 ,5 ,6 ]
Gorringe, Kylie L. [2 ,5 ,6 ]
机构
[1] Peter MacCallum Canc Ctr, Bioinformat Core Facil, Melbourne, Vic 3002, Australia
[2] Peter MacCallum Canc Ctr, Victorian Breast Canc Res Consortium, Canc Genet Lab, Melbourne, Vic 3002, Australia
[3] Univ Melbourne, Dept Mech Engn, Parkville, Vic 3010, Australia
[4] Peter MacCallum Canc Ctr, Mol Genom Core Facil, Melbourne, Vic 3002, Australia
[5] Univ Melbourne, Sir Peter MacCallum Dept Oncol, Parkville, Vic 3010, Australia
[6] Univ Melbourne, Dept Pathol, Parkville, Vic 3010, Australia
基金
澳大利亚研究理事会;
关键词
IDENTIFICATION; CANCER; FRAMEWORK; ACCURATE; CAPTURE; GENE;
D O I
10.1093/bioinformatics/bts146
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Results: We present a method for CNV detection for TR data, including whole-exome capture data. Our method calls copy number gains and losses for each target region based on normalized depth of coverage. Our key strategies include the use of base-level log-ratios to remove GC-content bias, correction for an imbalanced library size effect on log-ratios, and the estimation of log-ratio variations via binning and interpolation. Our methods are made available via CONTRA (COpy Number Targeted Resequencing Analysis), a software package that takes standard alignment formats (BAM/SAM) and outputs in variant call format (VCF4.0), for easy integration with other next-generation sequencing analysis packages. We assessed our methods using samples from seven different target enrichment assays, and evaluated our results using simulated data and real germline data with known CNV genotypes.
引用
收藏
页码:1307 / 1313
页数:7
相关论文
共 50 条
  • [41] Copy number estimation from targeted and shallow sequencing in cancer samples
    OHara, Andrea J.
    Che, Zhiwei
    Shams, Soheil
    [J]. CANCER RESEARCH, 2017, 77
  • [42] Context and Applications of Targeted Genetic Testing, with Emphasis on Copy Number Variants
    Ahn, J. W.
    Ogilvie, C.
    [J]. ADVANCES IN CLINICAL CHEMISTRY, VOL 75, 2016, 75 : 33 - 51
  • [43] Copy number alterations identify targeted therapies in preclinical models of osteosarcoma
    Sayles, Leanne C.
    Breese, Marcus
    Sweet-Cordero, Alejandro
    [J]. CANCER RESEARCH, 2015, 75
  • [44] Whole genome copy number variation analysis using a SNP-focused targeted sequencing panel for tumor analysis
    Wang, J.
    Giorda, J. W.
    Mudivarti, J. W.
    Walworth, C.
    Kupec, J. W.
    Jarosz, J. W.
    Jarosz, M.
    [J]. EUROPEAN JOURNAL OF HUMAN GENETICS, 2018, 26 : 705 - 705
  • [45] Analysis of spinal muscular atrophy-like patients by targeted resequencing
    Hosokawa, Shinichi
    Kubo, Yuji
    Arakawa, Reiko
    Takashima, Hiroshi
    Saito, Kayoko
    [J]. BRAIN & DEVELOPMENT, 2020, 42 (02): : 148 - 156
  • [46] Identification of copy number variation in Tibetan sheep using whole genome resequencing reveals evidence of genomic selection
    Huibin Shi
    Taotao Li
    Manchun Su
    Huihui Wang
    Qiao Li
    Xia Lang
    Youji Ma
    [J]. BMC Genomics, 24
  • [47] Identification of copy number variation in Tibetan sheep using whole genome resequencing reveals evidence of genomic selection
    Shi, Huibin
    Li, Taotao
    Su, Manchun
    Wang, Huihui
    Li, Qiao
    Lang, Xia
    Ma, Youji
    [J]. BMC GENOMICS, 2023, 24 (01)
  • [48] Analysis of copy number variations and possible candidate genes in spontaneous abortion by copy number variation sequencing
    Bai, Wei
    Zhang, Qi
    Lin, Zhi
    Ye, Jin
    Shen, Xiaoqi
    Zhou, Linshuang
    Cai, Wenpin
    [J]. FRONTIERS IN ENDOCRINOLOGY, 2023, 14
  • [49] An efficient new targeted resequencing method
    Mary Muers
    [J]. Nature Reviews Genetics, 2011, 12 (12) : 805 - 805
  • [50] Analysis of copy number variants in the cattle genome
    Kijas, James W.
    Barendse, William
    Barris, Wes
    Harrison, Blair
    McCulloch, Russell
    McWilliam, Sean
    Whan, Vicki
    [J]. GENE, 2011, 482 (1-2) : 73 - 77