Exome copy number variation detection: Use of a pool of unrelated healthy tissue as reference sample. Issue 1 (10th November 2016)

• Record Type: Journal Article
• Authors: Wenric, Stephane; Sticca, Tiberio; Caberg, Jean‐Hubert; Josse, Claire; Fasquelle, Corinne; Herens, Christian; Jamar, Mauricette; Max, Stéphanie; Gothot, André; Caers, Jo; Bours, Vincent
• Is Part Of: Genetic epidemiology. Volume 41:Issue 1(2017)
• Page Start: 35
• Page End: 40
• Publication Date: 2016-11-10
• Subjects: NGS -- WES -- CNV -- aCGH -- normalization -- multiple myeloma -- control -- read count; Genetic epidemiology -- Periodicals; Heredity -- Periodicals; Medical geography -- Periodicals; 614
• DOI: 10.1002/gepi.22019
• Languages: English
• ISSNs: 0741-0395

Abstract

ABSTRACT: An increasing number of bioinformatic tools designed to detect CNVs (copy number variants) in tumor samples based on paired exome data where a matched healthy tissue constitutes the reference have been published in the recent years. The idea of using a pool of unrelated healthy DNA as reference has previously been formulated but not thoroughly validated. As of today, the gold standard for CNV calling is still aCGH but there is an increasing interest in detecting CNVs by exome sequencing. We propose to design a metric allowing the comparison of two CNV profiles, independently of the technique used and assessed the validity of using a pool of unrelated healthy DNA instead of a matched healthy tissue as reference in exome‐based CNV detection. We compared the CNV profiles obtained with three different approaches (aCGH, exome sequencing with a matched healthy tissue as reference, exome sequencing with a pool of eight unrelated healthy tissue as reference) on three multiple myeloma samples. We show that the usual analyses performed to compare CNV profiles (deletion/amplification ratios and CNV size distribution) lack in precision when confronted with low LRR values, as they only consider the binary status of each CNV. We show that the metric‐based distance constitutes a more accurate comparison of two CNV profiles. Based on these analyses, we conclude that a reliable picture of CNV alterations in multiple myeloma samples can be obtained from whole‐exome sequencing in the absence of a matched healthy sample.