CovCopCan: An efficient tool to detect Copy Number Variation from amplicon sequencing data in inherited diseases and cancer

Molecular diagnosis is an essential step of patient care. An increasing number of Copy Number Variations (CNVs) have been identified that are involved in inherited and somatic diseases. However, there are few existing tools to identify them among amplicon sequencing data generated by Next Generation Sequencing (NGS). We present here a new tool, CovCopCan, that allows the rapid and easy detection of CNVs in inherited diseases, as well as somatic data of patients with cancer, even with a low ratio of cancer cells to healthy cells. This tool could be very useful for molecular geneticists to rapidly identify CNVs in an interactive and user-friendly way.

[1]  Carsten Denkert,et al.  Ioncopy: a novel method for calling copy number alterations in amplicon sequencing data including significance assessment , 2016, Oncotarget.

[2]  K. Stamatopoulos,et al.  ERIC recommendations for TP53 mutation analysis in chronic lymphocytic leukemia—update on methodological approaches and results interpretation , 2018, Leukemia.

[3]  German Demidov,et al.  A statistical approach to detection of copy number variations in PCR-enriched targeted sequencing data , 2016, BMC Bioinformatics.

[4]  Nicholas W. Wood,et al.  A robust model for read count data in exome sequencing experiments and implications for copy number variant calling , 2012, Bioinform..

[5]  T. Shanafelt,et al.  Chronic lymphocytic leukaemia , 2018, The Lancet.

[6]  Seong-Hyeuk Nam,et al.  DeviCNV: detection and visualization of exon-level copy number variants in targeted next-generation sequencing data , 2018, BMC Bioinformatics.

[7]  Yanguo Xin,et al.  Tafamidis, a Noninvasive Therapy for Delaying Transthyretin Familial Amyloid Polyneuropathy: Systematic Review and Meta-Analysis , 2018, Journal of clinical neurology.

[8]  W. Cleveland LOWESS: A Program for Smoothing Scatterplots by Robust Locally Weighted Regression , 1981 .

[9]  K. Stamatopoulos,et al.  ERIC recommendations for TP 53 mutation analysis in chronic lymphocytic leukemia-update on methodological approaches and results , 2018 .

[10]  Tatiana Popova,et al.  Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data , 2014, Bioinform..

[11]  E. S. Page CONTINUOUS INSPECTION SCHEMES , 1954 .

[12]  A Benner,et al.  Genomic aberrations and survival in chronic lymphocytic leukemia. , 2000, The New England journal of medicine.

[13]  Gonçalo R. Abecasis,et al.  The variant call format and VCFtools , 2011, Bioinform..

[14]  A Benner,et al.  p53 gene deletion predicts for poor survival and non-response to therapy with purine analogs in chronic B-cell leukemias. , 1995, Blood.

[15]  J. Byrd,et al.  iwCLL guidelines for diagnosis, indications for treatment, response assessment, and supportive management of CLL. , 2018, Blood.

[16]  P. Derouault,et al.  ‘COV'COP’ allows to detect CNVs responsible for inherited diseases among amplicons sequencing data , 2017, Bioinform..

[17]  Martin Vingron,et al.  Statistical Applications in Genetics and Molecular Biology Modeling Read Counts for CNV Detection in Exome Sequencing Data , 2011 .