Literature DB >> 18951446

Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Sharon E Plon1, Diana M Eccles, Douglas Easton, William D Foulkes, Maurizio Genuardi, Marc S Greenblatt, Frans B L Hogervorst, Nicoline Hoogerbrugge, Amanda B Spurdle, Sean V Tavtigian.   

Abstract

Genetic testing of cancer susceptibility genes is now widely applied in clinical practice to predict risk of developing cancer. In general, sequence-based testing of germline DNA is used to determine whether an individual carries a change that is clearly likely to disrupt normal gene function. Genetic testing may detect changes that are clearly pathogenic, clearly neutral, or variants of unclear clinical significance. Such variants present a considerable challenge to the diagnostic laboratory and the receiving clinician in terms of interpretation and clear presentation of the implications of the result to the patient. There does not appear to be a consistent approach to interpreting and reporting the clinical significance of variants either among genes or among laboratories. The potential for confusion among clinicians and patients is considerable and misinterpretation may lead to inappropriate clinical consequences. In this article we review the current state of sequence-based genetic testing, describe other standardized reporting systems used in oncology, and propose a standardized classification system for application to sequence-based results for cancer predisposition genes. We suggest a system of five classes of variants based on the degree of likelihood of pathogenicity. Each class is associated with specific recommendations for clinical management of at-risk relatives that will depend on the syndrome. We propose that panels of experts on each cancer predisposition syndrome facilitate the classification scheme and designate appropriate surveillance and cancer management guidelines. The international adoption of a standardized reporting system should improve the clinical utility of sequence-based genetic tests to predict cancer risk. (c) 2008 Wiley-Liss, Inc.

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Year:  2008        PMID: 18951446      PMCID: PMC3075918          DOI: 10.1002/humu.20880

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  32 in total

1.  Functional assays for classification of BRCA2 variants of uncertain significance.

Authors:  Daniel J Farrugia; Mukesh K Agarwal; Vernon S Pankratz; Amie M Deffenbaugh; Dmitry Pruss; Cynthia Frye; Linda Wadum; Kiley Johnson; Jennifer Mentlick; Sean V Tavtigian; David E Goldgar; Fergus J Couch
Journal:  Cancer Res       Date:  2008-05-01       Impact factor: 12.701

2.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

3.  Tumor characteristics as an analytic tool for classifying genetic variants of uncertain clinical significance.

Authors:  Robert M W Hofstra; Amanda B Spurdle; Diana Eccles; William D Foulkes; Niels de Wind; Nicoline Hoogerbrugge; Frans B L Hogervorst
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

4.  Genetic evidence and integration of various data sources for classifying uncertain variants into a single model.

Authors:  David E Goldgar; Douglas F Easton; Graham B Byrnes; Amanda B Spurdle; Edwin S Iversen; Marc S Greenblatt
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

5.  Locus-specific databases and recommendations to strengthen their contribution to the classification of variants in cancer susceptibility genes.

Authors:  Marc S Greenblatt; Lawrence C Brody; William D Foulkes; Maurizio Genuardi; Robert M W Hofstra; Magali Olivier; Sharon E Plon; Rolf H Sijmons; Olga Sinilnikova; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

6.  Classification of ambiguous mutations in DNA mismatch repair genes identified in a population-based study of colorectal cancer.

Authors:  Rebecca A Barnetson; Nicola Cartwright; Annelot van Vliet; Naila Haq; Kate Drew; Susan Farrington; Nicola Williams; Jon Warner; Harry Campbell; Mary E Porteous; Malcolm G Dunlop
Journal:  Hum Mutat       Date:  2008-03       Impact factor: 4.878

7.  Clinical classification of BRCA1 and BRCA2 DNA sequence variants: the value of cytokeratin profiles and evolutionary analysis--a report from the kConFab Investigators.

Authors:  Amanda B Spurdle; Sunil R Lakhani; Sue Healey; Suzanne Parry; Leonard M Da Silva; Ross Brinkworth; John L Hopper; Melissa A Brown; Davit Babikyan; Georgia Chenevix-Trench; Sean V Tavtigian; David E Goldgar
Journal:  J Clin Oncol       Date:  2008-04-01       Impact factor: 44.544

8.  Benefit-risk analysis of different risk-related surveillance schedules following colorectal polypectomy.

Authors:  F Becker; G Nusko; J Welke; E G Hahn; U Mansmann
Journal:  Hepatogastroenterology       Date:  2007-12

9.  ACMG recommendations for standards for interpretation and reporting of sequence variations: Revisions 2007.

Authors:  C Sue Richards; Sherri Bale; Daniel B Bellissimo; Soma Das; Wayne W Grody; Madhuri R Hegde; Elaine Lyon; Brian E Ward
Journal:  Genet Med       Date:  2008-04       Impact factor: 8.822

10.  The BOADICEA model of genetic susceptibility to breast and ovarian cancers: updates and extensions.

Authors:  A C Antoniou; A P Cunningham; J Peto; D G Evans; F Lalloo; S A Narod; H A Risch; J E Eyfjord; J L Hopper; M C Southey; H Olsson; O Johannsson; A Borg; B Pasini; B Passini; P Radice; S Manoukian; D M Eccles; N Tang; E Olah; H Anton-Culver; E Warner; J Lubinski; J Gronwald; B Gorski; L Tryggvadottir; K Syrjakoski; O-P Kallioniemi; H Eerola; H Nevanlinna; P D P Pharoah; D F Easton
Journal:  Br J Cancer       Date:  2008-03-18       Impact factor: 7.640

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  353 in total

Review 1.  Clinical correlation and molecular evaluation confirm that the MLH1 p.Arg182Gly (c.544A>G) mutation is pathogenic and causes Lynch syndrome.

Authors:  Michael P Farrell; David J Hughes; Ian R Berry; David J Gallagher; Emily A Glogowski; Stewart J Payne; Michael J Kennedy; Róisín M Clarke; Susan A White; Cian B Muldoon; Fiona Macdonald; Pauline Rehal; Danielle Crompton; Solvig Roring; Sarah T Duke; Trudi McDevitt; David E Barton; Shirley V Hodgson; Andrew J Green; Peter A Daly
Journal:  Fam Cancer       Date:  2012-09       Impact factor: 2.375

2.  Report of the combined meeting of the International Society for Gastrointestinal Hereditary Tumours, the Human Variome Project and the National Cancer Institute Colon Cancer Family Registry, Duesseldorf, Germany, 24 June 2009.

Authors:  Maija Kohonen-Corish; Thomas K Weber; Annika Lindblom; Finlay Macrae
Journal:  Fam Cancer       Date:  2010-12       Impact factor: 2.375

3.  Consensus: a framework for evaluation of uncertain gene variants in laboratory test reporting.

Authors:  David K Crockett; Perry G Ridge; Andrew R Wilson; Elaine Lyon; Marc S Williams; Scott P Narus; Julio C Facelli; Joyce A Mitchell
Journal:  Genome Med       Date:  2012-05-28       Impact factor: 11.117

Review 4.  Functional assays for analysis of variants of uncertain significance in BRCA2.

Authors:  Lucia Guidugli; Aura Carreira; Sandrine M Caputo; Asa Ehlen; Alvaro Galli; Alvaro N A Monteiro; Susan L Neuhausen; Thomas V O Hansen; Fergus J Couch; Maaike P G Vreeswijk
Journal:  Hum Mutat       Date:  2013-12-03       Impact factor: 4.878

5.  Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.

Authors:  Raphaël Leman; Pascaline Gaildrat; Gérald Le Gac; Chandran Ka; Yann Fichou; Marie-Pierre Audrezet; Virginie Caux-Moncoutier; Sandrine M Caputo; Nadia Boutry-Kryza; Mélanie Léone; Sylvie Mazoyer; Françoise Bonnet-Dorion; Nicolas Sevenet; Marine Guillaud-Bataille; Etienne Rouleau; Brigitte Bressac-de Paillerets; Barbara Wappenschmidt; Maria Rossing; Danielle Muller; Violaine Bourdon; Françoise Revillon; Michael T Parsons; Antoine Rousselin; Grégoire Davy; Gaia Castelain; Laurent Castéra; Joanna Sokolowska; Florence Coulet; Capucine Delnatte; Claude Férec; Amanda B Spurdle; Alexandra Martins; Sophie Krieger; Claude Houdayer
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971

6.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

7.  Tumor characteristics as an analytic tool for classifying genetic variants of uncertain clinical significance.

Authors:  Robert M W Hofstra; Amanda B Spurdle; Diana Eccles; William D Foulkes; Niels de Wind; Nicoline Hoogerbrugge; Frans B L Hogervorst
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

8.  Assessing pathogenicity: overview of results from the IARC Unclassified Genetic Variants Working Group.

Authors:  Sean V Tavtigian; Marc S Greenblatt; David E Goldgar; Paolo Boffetta
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  Prediction and assessment of splicing alterations: implications for clinical testing.

Authors:  Amanda B Spurdle; Fergus J Couch; Frans B L Hogervorst; Paolo Radice; Olga M Sinilnikova
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

10.  Genetic evidence and integration of various data sources for classifying uncertain variants into a single model.

Authors:  David E Goldgar; Douglas F Easton; Graham B Byrnes; Amanda B Spurdle; Edwin S Iversen; Marc S Greenblatt
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

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