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. 2022 Jan 18;5(1):65.
doi: 10.1038/s42003-021-02990-6.

Rare germline copy number variants (CNVs) and breast cancer risk

Joe Dennis  1 Jonathan P Tyrer  2 Logan C Walker  3 Kyriaki Michailidou  4   5   6 Leila Dorling  4 Manjeet K Bolla  4 Qin Wang  4 Thomas U Ahearn  7 Irene L Andrulis  8   9 Hoda Anton-Culver  10 Natalia N Antonenkova  11 Volker Arndt  12 Kristan J Aronson  13 Laura E Beane Freeman  7 Matthias W Beckmann  14 Sabine Behrens  15 Javier Benitez  16   17 Marina Bermisheva  18 Natalia V Bogdanova  11   19   20 Stig E Bojesen  21   22   23 Hermann Brenner  12   24   25 Jose E Castelao  26 Jenny Chang-Claude  15   27 Georgia Chenevix-Trench  28 Christine L Clarke  29 NBCS CollaboratorsJ Margriet Collée  30 CTS ConsortiumFergus J Couch  31 Angela Cox  32 Simon S Cross  33 Kamila Czene  34 Peter Devilee  35   36 Thilo Dörk  20 Laure Dossus  37 A Heather Eliassen  38   39 Mikael Eriksson  34 D Gareth Evans  40   41 Peter A Fasching  14   42 Jonine Figueroa  7   43   44 Olivia Fletcher  45 Henrik Flyger  46 Lin Fritschi  47 Marike Gabrielson  34 Manuela Gago-Dominguez  48   49 Montserrat García-Closas  7 Graham G Giles  50   51   52 Anna González-Neira  17 Pascal Guénel  53 Eric Hahnen  54   55 Christopher A Haiman  56 Per Hall  34   57 Antoinette Hollestelle  58 Reiner Hoppe  59   60 John L Hopper  51 Anthony Howell  61 ABCTB InvestigatorskConFab/AOCS InvestigatorsAgnes Jager  58 Anna Jakubowska  62   63 Esther M John  64   65 Nichola Johnson  45 Michael E Jones  66 Audrey Jung  15 Rudolf Kaaks  15 Renske Keeman  67 Elza Khusnutdinova  18   68 Cari M Kitahara  69 Yon-Dschun Ko  70 Veli-Matti Kosma  71   72   73 Stella Koutros  7 Peter Kraft  39   74 Vessela N Kristensen  75   76 Katerina Kubelka-Sabit  77 Allison W Kurian  64   65 James V Lacey  78   79 Diether Lambrechts  80   81 Nicole L Larson  82 Martha Linet  69 Alicja Ogrodniczak  62 Arto Mannermaa  71   72   73 Siranoush Manoukian  83 Sara Margolin  57   84 Dimitrios Mavroudis  85 Roger L Milne  50   51   52 Taru A Muranen  86 Rachel A Murphy  87   88 Heli Nevanlinna  86 Janet E Olson  82 Håkan Olsson  89 Tjoung-Won Park-Simon  20 Charles M Perou  90 Paolo Peterlongo  91 Dijana Plaseska-Karanfilska  92 Katri Pylkäs  93   94 Gad Rennert  95 Emmanouil Saloustros  96 Dale P Sandler  97 Elinor J Sawyer  98 Marjanka K Schmidt  67   99 Rita K Schmutzler  54   55   100 Rana Shibli  95 Ann Smeets  101 Penny Soucy  102 Melissa C Southey  50   52   103 Anthony J Swerdlow  66   104 Rulla M Tamimi  39   105 Jack A Taylor  97   106 Lauren R Teras  107 Mary Beth Terry  108 Ian Tomlinson  44 Melissa A Troester  109 Thérèse Truong  53 Celine M Vachon  110 Camilla Wendt  84 Robert Winqvist  93   94 Alicja Wolk  111   112 Xiaohong R Yang  7 Wei Zheng  113 Argyrios Ziogas  10 Jacques Simard  102 Alison M Dunning  2 Paul D P Pharoah  4   2 Douglas F Easton  4   2
Collaborators, Affiliations

Rare germline copy number variants (CNVs) and breast cancer risk

Joe Dennis et al. Commun Biol. .

Abstract

Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P = 0.0008), ATM (P = 0.002) and BRCA2 (P = 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Flow diagram of  the calling and analysis pipeline.
CNVs were called using the CamCNV pipeline from the intensities from the iCOGs and OncoArray genotyping arrays. The CNVs were assigned to regions, association results generated for each array and then meta-analysed. CNVs covering the coding regions of genes were analysed in gene burden tests.
Fig. 2
Fig. 2. QQ plots of association results.
Quantile-quantile plots of P-values from association tests of deletion regions (a), duplication regions (b), gene burden analysis for deletions (c), and gene burden for duplications (d).
Fig. 3
Fig. 3. Associations with duplications at the 17p13.3 locus.
Log odds ratios for individual probes from Oncoarray and iCOGs are shown at the top in green. Genes from the Ensembl browser are shown in the next row, followed by structural variants identified by the 1000 Genomes Project with duplications in blue and deletions in red.

References

    1. Abel, H.J. et al. Mapping and characterization of structural variation in 17,795 human genomes. Nature583, 83–89 (2020). - PMC - PubMed
    1. Collins RL, et al. A structural variation reference for medical and population genetics. Nature. 2020;581:444–451. doi: 10.1038/s41586-020-2287-8. - DOI - PMC - PubMed
    1. Sudmant, P.H. et al. An integrated map of structural variation in 2,504 human genomes. Nature526, 75−81 (2015). - PMC - PubMed
    1. Nik-Zainal S, et al. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature. 2016;534:47–54. doi: 10.1038/nature17676. - DOI - PMC - PubMed
    1. Gerstung M, et al. The evolutionary history of 2,658 cancers. Nature. 2020;578:122–128. doi: 10.1038/s41586-019-1907-7. - DOI - PMC - PubMed

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