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Png, G. ; Suveges, D.* ; Park, Y.C.* ; Walter, K.* ; Kundu, K.* ; Ntalla, I.* ; Tsafantakis, E.* ; Karaleftheri, M.* ; Dedoussis, G.* ; Zeggini, E. ; Gilly, A.

Population-wide copy number variation calling using variant call format files from 6,898 individuals.

Genet. Epidemiol. 44, 79-89 (2020)
Postprint DOI PMC
Open Access Green
© 2019 Wiley Periodicals, Inc. Copy number variants (CNVs) play an important role in a number of human diseases, but the accurate calling of CNVs remains challenging. Most current approaches to CNV detection use raw read alignments, which are computationally intensive to process. We use a regression tree-based approach to call germline CNVs from whole-genome sequencing (WGS, >18x) variant call sets in 6,898 samples across four European cohorts, and describe a rich large variation landscape comprising 1,320 CNVs. Eighty-one percent of detected events have been previously reported in the Database of Genomic Variants. Twenty-three percent of high-quality deletions affect entire genes, and we recapitulate known events such as the GSTM1 and RHD gene deletions. We test for association between the detected deletions and 275 protein levels in 1,457 individuals to assess the potential clinical impact of the detected CNVs. We describe complex CNV patterns underlying an association with levels of the CCL3 protein (MAF = 0.15, p = 3.6x10−12) at the CCL3L3 locus, and a novel cis-association between a low-frequency NOMO1 deletion and NOMO1 protein levels (MAF = 0.02, p = 2.2x10−7). This study demonstrates that existing population-wide WGS call sets can be mined for germline CNVs with minimal computational overhead, delivering insight into a less well-studied, yet potentially impactful class of genetic variant.
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Publication type Article: Journal article
Document type Scientific Article
Corresponding Author
Keywords Association Study ; Copy-number Variant ; Whole-genome Sequencing
ISSN (print) / ISBN 0741-0395
e-ISSN 1098-2272
Journal Genetic Epidemiology
Quellenangaben Volume: 44, Issue: 1, Pages: 79-89 Article Number: , Supplement: ,
Publisher Wiley
Non-patent literature Publications
Reviewing status Peer reviewed
Institute(s) Institute of Translational Genomics (ITG)