Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset

Affiliations
  • 1Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
  • 2Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • 3Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK.
  • 4Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA.
  • 5Human Genotyping Unit-CeGen, Spanish National Cancer Research Centre (CNIO), 28029 Madrid, Spain.
  • 6Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
  • 7Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Clinical Medicine, Oncology, University of Eastern Finland, 70210 Kuopio, Finland; Department of Oncology, Cancer Center, Kuopio University Hospital, 70210 Kuopio, Finland.
  • 8Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • 9Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia.
  • 10Department of Radiation Oncology, Hannover Medical School, 30625 Hannover, Germany; Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany; N.N. Alexandrov Research Institute of Oncology and Medical Radiology, Minsk 223040, Belarus.
  • 11Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark; Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
  • 12Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum, 44789 Bochum, Germany.
  • 13Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WL, UK.
  • 14Department of Internal Medicine and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
  • 15Oncology and Genetics Unit, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS) Foundation, Complejo Hospitalario Universitario de Santiago, SERGAS, 36312 Vigo, Spain.
  • 16Department of Pathology, Intermountain Health, Murray, UT, USA; Intermountain Biorepository, Intermountain Health, Murray, UT, USA.
  • 17Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
  • 18Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.
  • 19Erasmus MC Cancer Institute, 3015 GD Rotterdam, the Netherlands.
  • 20Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden.
  • 21Gynaecology Research Unit, Hannover Medical School, 30625 Hannover, Germany.
  • 22Division of Evolution, Infection and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9WL, UK; Manchester Centre for Genomic Medicine, St Mary’s Hospital, Manchester University NHS Foundation Trust, Manchester M13 9WL, UK.
  • 23Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, 91054 Erlangen, Germany.
  • 24Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA; Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh EH16 4UX, UK; Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh EH4 2XR, UK.
  • 25Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, 2730 Herlev, Denmark.
  • 26Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), Fundación Pública Gallega de IDIS, Cancer Genetics and Epidemiology Group, Genomic Medicine Group, 15706 Santiago de Compostela, Spain.
  • 27Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20850, USA; The Division of Genetics and Epidemiology, The Institute of Cancer Research, London SM2 5NG, UK.
  • 28Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada.
  • 29Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; Health and Medical University, Potsdam, Germany.
  • 30International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 70-115 Szczecin, Poland.
  • 31Paris-Saclay University, UVSQ, INSERM, Gustave Roussay, CESP, 94805 Villejuif, France.
  • 32Department of Cancer Genetics, Therapeutics and Ultrastructural Pathology, The Cyprus Institute of Neurology & Genetics, Nicosia 2371, Cyprus.
  • 33Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 65 Stockholm, Sweden; Department of Oncology, Södersjukhuset, 118 83 Stockholm, Sweden.
  • 34Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
  • 35Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Department of Surgery, National University Hospital and National University Health System, Singapore City 119228, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore City 119228, Singapore.
  • 36Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A(∗)STAR), Singapore City 138672, Singapore.
  • 37Department of Medical Oncology, Erasmus MC Cancer Institute, 3015 GD Rotterdam, the Netherlands.
  • 38Dr. Margarete Fischer-Bosch-Institute of Clinical Pharmacology, 70376 Stuttgart, Germany; University of Tübingen, 72074 Tübingen, Germany.
  • 39Division of Cancer Sciences, University of Manchester, Manchester M13 9PL, UK.
  • 40International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin, 70-115 Szczecin, Poland; Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, 171-252 Szczecin, Poland.
  • 41Institute of Biochemistry and Genetics of the Ufa Federal Research Centre of the Russian Academy of Sciences, Ufa 450054, Russia; Federal State Budgetary Educational Institution of Higher Education, Saint Petersburg State University, St. Petersburg 199034, Russia.
  • 42Department of Medical Genetics, Oslo University Hospital and University of Oslo, 0379 Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, 0450 Oslo, Norway.
  • 43Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A(∗)STAR), Singapore City 138672, Singapore.
  • 44Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia.
  • 45Department of Molecular Medicine and Surgery, Karolinska Institutet, 171 76 Stockholm, Sweden; Department of Clinical Genetics, Karolinska University Hospital, 171 76 Stockholm, Sweden.
  • 46Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore City 117549, Singapore; Department of General Surgery, Ng Teng Fong General Hospital, Singapore City 609606, Singapore.
  • 47Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PL, UK.
  • 48Translational Cancer Research Area, University of Eastern Finland, 70210 Kuopio, Finland; Institute of Clinical Medicine, Pathology and Forensic Medicine, University of Eastern Finland, 70210 Kuopio, Finland; Biobank of Eastern Finland, Kuopio University Hospital, Kuopio, Finland.
  • 49Department of Medical Oncology, University Hospital of Heraklion, 711 10 Heraklion, Greece.
  • 50Department of Human Genetics, Radboud University Medical Center, 6525 Nijmegen GA, the Netherlands.
  • 51Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia.
  • 52Institute for Occupational and Maritime Medicine, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany; Institute for Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, 20246 Hamburg, Germany.
  • 53Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul 03080, Korea; Cancer Research Institute, Seoul National University, Seoul 03080, Korea.
  • 54Genome Diagnostics Program, IFOM ETS – the AIRC Institute of Molecular Oncology, 20139 Milan, Italy.
  • 55Predictive Medicine: Molecular Bases of Genetic Risk, Department of Experimental Oncology, Fondazione IRCCS Istituto Nazionale Dei Tumori (INT), 20133 Milan, Italy.
  • 56Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Basic Sciences, Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH & RC), Lahore 54000, Pakistan.
  • 57Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece.
  • 58School of Cancer & Pharmaceutical Sciences, Comprehensive Cancer Centre, Guy’s Campus, King’s College London, London, UK.
  • 59Division of Molecular Pathology, The Netherlands Cancer Institute, 1066 CX Amsterdam, the Netherlands; Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands; Department of Clinical Genetics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
  • 60Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK.
  • 61Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC 3004, Australia; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia; Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC 3010, Australia.
  • 62Breast Cancer Research Programme, Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya, UM Cancer Research Institute, Kuala Lumpur 50603, Malaysia.
  • 63Department of Oncology, University of Oxford, Oxford OX3 7LF, UK.
  • 64Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Institute of Human Genetics, Pontificia Universidad Javeriana, Bogota 110231, Colombia.
  • 65Department of Clinical Genetics, The Netherlands Cancer Institute – Antoni van Leeuwenhoek Hospital, 1066 CX Amsterdam, the Netherlands.
  • 66Department of Genetics, University Medical Center Groningen, University Groningen, 9713 GZ Groningen, the Netherlands.
  • 67Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, 118 83 Stockholm, Sweden.
  • 68Department of Computational Biomedicine, Cedars-Sinai Medical Center, West Hollywood, CA 90069, USA.
  • 69Department of Pathology, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands; Department of Human Genetics, Leiden University Medical Center, 2333 ZA Leiden, the Netherlands.
  • 70Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge CB1 8RN, UK; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge CB1 8RN, UK.
  • 71Parkville Familial Cancer Centre, The Royal Melbourne Hospital and Peter MacCallum Cancer Centre, Melbourne, VIC 3000, Australia.
  • 72Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia; Faculty of Medicine, The University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: amanda.spurdle@qimrberghofer.edu.au.

Abstract

Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels.

Related Concept Videos

JoVE Research Video for Genome-wide Association Studies-GWAS 01:11

10.3K

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in…

JoVE Research Video for Pedigree Analysis 01:35

78.9K

Overview

A pedigree is a diagram displaying a family’s history of a trait. Analyzing pedigrees can reveal (1) whether a trait is dominant or recessive, (2) the type of chromosome, autosomal or sex, a trait is linked to, (3) genotypes of family members, and (4) probabilities of phenotypes in future generations. For families with a history of autosomal or sex-linked diseases, this information can be crucial to family planning.

Pedigrees Display Family Histories

In various plant and…

JoVE Research Video for Cancer-Critical Genes II: Tumor Suppressor Genes 01:05

6.3K

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act…

JoVE Research Video for Single Nucleotide Polymorphisms-SNPs 01:05

11.7K

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,…

JoVE Research Video for The Retinoblastoma Gene 01:20

3.9K

Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma – a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,…