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Highly Accessed Letter

COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration

COMPLEXO, Melissa C Southey1*, Daniel J Park1, Tu Nguyen-Dumont1, Ian Campbell2, Ella Thompson2, Alison H Trainer3, Georgia Chenevix-Trench4, Jacques Simard5, Martine Dumont5, Penny Soucy5, Mads Thomassen6, Lars Jønson7, Inge S Pedersen8, Thomas VO Hansen7, Heli Nevanlinna9, Sofia Khan9, Olga Sinilnikova1011, Sylvie Mazoyer10, Fabienne Lesueur12, Francesca Damiola10, Rita Schmutzler1314, Alfons Meindl15, Eric Hahnen1314, Michael R Dufault15, TL Chris Chan1617, Ava Kwong1618, Rosa Barkardóttir19, Paolo Radice20, Paolo Peterlongo21, Peter Devilee22, Florentine Hilbers22, Javier Benitez23, Anders Kvist24, Therese Törngren24, Douglas Easton25, David Hunter26, Sara Lindstrom26, Peter Kraft26, Wei Zheng27, Yu-Tang Gao28, Jirong Long27, Susan Ramus29, Bing-Jian Feng30, Jeffrey N Weitzel31, Katherine Nathanson32, Kenneth Offit33, Vijai Joseph33, Mark Robson33, Kasmintan Schrader33, San Ming Wang34, Yeong C Kim34, Henry Lynch35, Carrie Snyder35, Sean Tavtigian36, Susan Neuhausen37, Fergus J Couch38 and David E Goldgar36

Author Affiliations

1 Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Victoria 3010, Australia

2 Cancer Genetics Laboratory, Peter MacCallum Cancer Centre, East Melbourne, Victoria, Australia; Sir Peter MacCallum Department of Oncology and Department of Pathology, University of Melbourne, Parkville, Victoria, Australia

3 Familial Cancer Center, The Peter MacCallum Cancer Centre, St Andrew's Place, East Melbourne, Victoria 3010, Australia and Familial Cancer Centre, The Royal Melbourne Hospital, Parkville, Victoria, 3050, Australia

4 The Queensland Institute of Medical Research, Locked Bag 2000, Royal Brisbane Hospital, Herston, QLD 4029, Australia

5 Cancer Genomics Laboratory, Centre Hospitalier de Québec Research Center and Laval University, 2705 Laurier Boulevard, Quebec City, Quebec, Canada G1V 4G2

6 Department of Clinical Genetics, Odense University Hospital, Soenderboulevard 29, 5000 Odense C, Denmark

7 Center for Genomic Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark

8 Department of Clinical Biochemistry, Section of Molecular Diagnostics, Aalborg University Hospital, Reberbansgade 15, 9000 Aalborg, Denmark

9 Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Central Hospital, Biomedicum Helsinki 4th floor PO BOX 700, 00029 HUS, Finland

10 CNRS UMR5286 INSERM U1052, Université Lyon 1, Cancer Research Center of Lyon, Center Leon Berard, Lyon, France

11 Unite Mixte de Genetique Constitutionnelle des Cancers Frequents, Hospices Civils de Lyon, Centre Leon Berard, Lyon, France

12 INSERM, Unité U900, Mines ParisTech, Equipe Epidémiologie Génétique des Cancers, Institut Curie, 26 rue d'Ulm, 75248 Paris cedex 05, France

13 Center of Familial Breast and Ovarian Cancer, University Hospital of Cologne, Cologne, Germany

14 Center for Molecular Medicine Cologne (CMMC), University of Cologne, Cologne, Germany

15 Department of Gynaecology and Obstetrics, Klinikum rechts der Isar at the Technical University, Munich, Germany

16 Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong SAR

17 Department of Molecular Pathology, Hong Kong Sanatorium and Hospital, Hong Kong SAR and Departments of Pathology and Surgery, The University of Hong Kong, Hong Kong SAR

18 Department of Surgery, The University of Hong Kong, Hong Kong SAR; Department of Surgery, Hong Kong Sanatorium and Hospital, Hong Kong SAR; Department of Oncology, Stanford University School of Medicine, Stanford, California, United States of America

19 Department of Pathology, Landspitali-University Hospital, Hringbraut, 101, Reykjavik, Iceland and BMC, Faculty of Medicine, University of Iceland, Vatnsmyrarvegi 16, 101, Reykjavik, Iceland

20 Unit of Molecular Bases of Genetic Risk and Genetic Testing, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale Tumori (INT), Milan, Italy

21 IFOM, Fondazione Istituto FIRC di Oncologia Molecolare, Milan, Italy

22 Department of Human Genetics, Leiden University Medical Center, Leiden, 2300 RC Leiden and Department of Pathology, Leiden University Medical Center, Leiden, 2300 RC Leiden, The Netherlands

23 Human Genetics Group, Human Cancer Genetics Programme, Spanish National Cancer Center (CNIO), E-28029 Madrid, Spain and Spanish Network on Rare Diseases (CIBERER), Valencia 46010, Spain

24 Department of Oncology, Clinical Sciences, Lund, University and Skåne University Hospital, Lund 22100, Sweden

25 Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Strangeways Research Laboratory, Worts Causeway, Cambridge, CB1 8RN, UK

26 Harvard School of Public Health, 677 Huntington Avenue, Boston MA, 02115, USA

27 Division of Epidemiology, Vanderbilt University School of Medicine, 2525 West End Avenue, Suite 800, Nashville, TN 37203, USA

28 Department of Epidemiology, Shanghai Cancer Institute, Shanghai, China

29 Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90033, USA

30 Department of Dermatology, University of Utah School of Medicine, Salt Lake City, Utah, USA

31 Division of Clinical Cancer Genetics, City of Hope, 1500 E Duarte Rd, Duarte CA 91010, and the Clinical Cancer Genetics Community Research Network, USA

32 Translational Medicine and Human, Genetics and Abramson Cancer Center, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA

33 Clinical Genetics Service, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10065, USA

34 Department of Preventive Medicine, Creighton University School of Medicine, Omaha, NE 68178, USA

35 Department of Genetics, Cell Biology & Anatomy, College of Medicine University of Nebraska Medical Center, 985145 Nebraska Medical Center, Omaha, NE 68198-5145, USA

36 Huntsman Cancer Institute, The University of Utah School of Medicine, Salt Lake City, UT 84112, USA

37 Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, CA 91010, USA

38 Division of Experimental Pathology, Department of Laboratory Medicine. and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN 55905, USA

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Breast Cancer Research 2013, 15:402  doi:10.1186/bcr3434


The electronic version of this article is the complete one and can be found online at: http://breast-cancer-research.com/content/15/3/402


Published:21 June 2013

© 2013 BioMed Central Ltd

Letter

Linkage analysis, positional cloning, candidate gene mutation scanning and genome-wide association study approaches have all contributed significantly to our understanding of the underlying genetic architecture of breast cancer. Taken together, these approaches have identified genetic variation that explains approximately 30% of the overall familial risk of breast cancer, implying that more, and likely rarer, genetic susceptibility alleles remain to be discovered.

The application of massively parallel sequencing has further demonstrated the complexity of human genetic variation and has raised many challenges for computational and statistical methods for searching for additional breast cancer predisposition genes. Early findings are consistent with previous indications that no single gene is likely to account for a large proportion of the remaining unexplained genetic susceptibility [1,2].

Coordinated international collaboration offers great potential to advance the discovery of additional breast cancer susceptibility genes by increasing the likelihood of identifying functionally relevant genetic variants in the same genes in multiple families. A new consortium, COMPLEXO (a name chosen to reflect the complexity of the exome), has been formed to facilitate collaborations between researchers actively applying massively parallel sequencing to understand the genetics of breast and ovarian cancer. The consortium has defined activities aimed at bringing together data and resources suitable for exome/genome sequencing initiatives and for large case-control-family study resources suitable for validation of candidate susceptibility genes in which rare mutations are associated with high to moderate risk of breast cancer. The aim of COMPLEXO is to bring to massively parallel sequencing the same power of large sample sets that have proven so successful in examining the role of common variants in cancer populations via the consortium model, such as the Breast Cancer Association Consortium (BCAC), the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA), the Ovarian Cancer Association Consortium (OCAC) and the Collaborative Oncology Gene-environment Study (COGS) [3-5]. However, sequencing studies provide additional challenges in terms of defining specific modes of collaboration given differences in sequencing and targeted capture platforms, bioinformatics platforms, the need to integrate ongoing studies in many centers and socio-ethical-legal issues that are not as relevant to initiatives that are genotyping common genetic variation.

COMPLEXO invites collaboration from any researcher who would like to contribute to this consortium either by contributing data to the combined COMPLEXO data set, contributing resources for large-scale validation of candidate breast cancer predisposition genes or refining analytical and bioinformatic pipelines for massively parallel sequencing data filtering and prioritization. COMPLEXO also has interests in the critical assessment of current platforms and protocols and in developing and improving data filtering and gene prioritization strategies to enhance gene discovery initiatives. These approaches are relevant to all complex human diseases.

Interested researchers can engage with COMPLEXO via any local member or by contacting the corresponding author.

Competing interests

The authors declare that they have no competing interests.

Acknowledgements

MCS is a National Health and Medical Research Council (Australia), Senior Research Fellow and Victorian Breast Cancer Research Consortium Group Leader. TN-D is a Susan G Komen for the Cure Postdoctoral Fellow. FJC is supported by the Breast Cancer Research Foundation. JB is the Head of Human Cancer Genetics Programme and coordinator of the Familial Cancer Exome Project in the Network of Research in Rare Diseases (CIBERER). SLN is the Morris and Horowitz Families Professor in Cancer Etiology and Outcomes Research. IGC is an NHMRC Principal Research Fellow. KO acknowledges grant support from Breast Cancer Reseach Foundation, Geoffrey Beene Cancer Research Foundation and STARR Cancer Consortium. JS is Chairholder of the Canada Research Chair in Oncogenetics. ERT is the recipient of a National Breast Cancer Foundation (Australia) Postdoctoral Training Fellowship. Support was received from R01CA155767 and the Victorian Breast Cancer Research Consortium.

References

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