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PMID: 18951446 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

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

Human mutation ·Vol. 29 ·No. 11 ·2008-11-00 ·Pages 1282-91

Plon SE, Eccles DM, Easton D, Foulkes WD, Genuardi M, Greenblatt MS, Hogervorst FB, Hoogerbrugge N, Spurdle AB, Tavtigian SV, IARC Unclassified Genetic Variants Working Group

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.

MeSH Terms
Base Sequence Genes, Neoplasm Genetic Predisposition to Disease Genetic Testing/methods,standards Genetic Variation Genetics, Medical/standards Humans Neoplastic Syndromes, Hereditary/classification,diagnosis,genetics Risk Factors
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Plon Sharon E
Department of Pediatrics, Baylor Cancer Genetics Clinic, Baylor College of Medicine, Houston, Texas, USA. splon@bcm.edu
Eccles Diana M
Easton Douglas
Foulkes William D
Genuardi Maurizio
Greenblatt Marc S
Hogervorst Frans B L
Hoogerbrugge Nicoline
Spurdle Amanda B
Tavtigian Sean V
IARC Unclassified Genetic Variants Working Group
Investigators
18 investigators, click to expand
Boffetta Paolo
Couch Fergus
de Wind Niels
Easton Douglas
Eccles Diana
Foulkes William
Genuardi Maurizio
Goldgar David
Greenblatt Marc
Hofstra Robert
Hogervorst Frans
Hoogerbrugge Nicoline
Plon Sharon
Radice Paolo
Rasmussen Lene
Sinilnikova Olga
Spurdle Amanda
Tavtigian Sean V
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Article Info
Journal
Human mutation
Abbr.
Hum Mutat
ISSN
1098-1004
Published
2008-11-00
Pages
1282-91
Language
English
Region
United States
NLM ID
9215429
PMCID
PMC3075918
Subset
IM
Grants
NHGRI NIH HHS · R01 HG004064 · United States
Medical Research Council · United Kingdom
NCI NIH HHS · U01 CA116167 · United States
NCI NIH HHS · CA116167 · United States
NCI NIH HHS · R01 CA116167 · United States
NCI NIH HHS · R01 CA096536 · United States
NHGRI NIH HHS · R01 HG004064-02 · United States
NCI NIH HHS · R55 CA096536 · United States
NCI NIH HHS · CA 96536 · United States
Cancer Research UK · 10118 · United Kingdom
NHGRI NIH HHS · HG004064 · United States
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