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Record W2113463873 · doi:10.1371/journal.pgen.1001183

Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer

2010· article· en· W2113463873 on OpenAlexaff
Mia M. Gaudet, Tomas Kirchhoff, Todd Green, Joseph Vijai, Joshua M. Korn, Candace Guiducci, Ayellet V. Segrè, Kate McGee, Lesley McGuffog, Christiana Kartsonaki, Jonathan J. Morrison, Sue Healey, Olga M. Sinilnikova, Dominique Stoppa‐Lyonnet, Sylvie Mazoyer, Marion Gauthier‐Villars, Hagay Sobol, Michel Longy, Marc Frénay, GEMO Study Collaborators, Frans B. L. Hogervorst, Matti A. Rookus, J. Margriet Collée, Kees E. P. van Roozendaal, Marion Piedmonte, Wendy Rubinstein, Stacy Nerenstone, Linda Van Le, Stephanie V. Blank, Trinidad Caldés, Miguel de la Hoya, Heli Nevanlinna, Kristiina Aittomäki, Conxi Lázaro, Ignacio Blanco, Aðalgeir Arason, Oskar T. Johannsson, Rósa B. Barkardóttir, Peter Devilee, O. I. Olopade, Susan L. Neuhausen, Xianshu Wang, Zachary S. Fredericksen, Paolo Peterlongo, Siranoush Manoukian, Monica Barile, Alessandra Viel, Paolo Radice, Catherine M. Phelan, Steven Narod, Gad Rennert, Flavio Lejbkowicz, Anath Flugelman, Irene L. Andrulis, Gord Glendon, Hilmi Özçelik, Amanda E. Toland, Marco Montagna, Emma D’Andrea, Eitan Friedman, Yael Laitman, Åke Borg, Mary Beattie, Susan J. Ramus, Susan M. Domchek, Katherine L. Nathanson, Tim Rebbeck, Amanda B. Spurdle, Helene Holland, Esther M. John, John L. Hopper, Saundra S. Buys, Mary B. Daly, Melissa C. Southey, Mary Beth Terry, Nadine Tung, Thomas van Overeem Hansen, Finn Cilius Nielsen, Mark I. Greene, Ana Osório, M. Durán, Raquel Andrés, Javier Benítez, Jeffrey N. Weitzel, Judy E. Garber, Ute Hamann, Susan Peock, Margaret Cook, Clare Oliver, Debra Frost, Radka Platte, D. Gareth Evans, Fiona Lalloo, Rosalind A. Eeles, Louise Izatt, Lisa Walker, Jacqueline Eason, Julian Barwell, Andrew K. Godwin, Rita K. Schmutzler, Barbara Wappenschmidt, Stefanie Engert, Norbert Arnold, Dorothea Gadzicki, Michael Dean, Bert Gold, Robert J. Klein, Fergus J. Couch, Georgia Chenevix‐Trench, Douglas F. Easton, Mark J. Daly, Antonis C. Antoniou, David Altshuler, Kenneth Offit

Bibliographic record

VenuePLoS Genetics · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsLunenfeld-Tanenbaum Research InstituteCancer Care OntarioMount Sinai HospitalWomen's College Hospital
FundersCentre National de la Recherche ScientifiqueInstitut National de la Santé et de la Recherche MédicaleInstitut Gustave-RoussyNational Cancer InstituteCancer Research UKMemorial Sloan-Kettering Cancer Center
KeywordsPenetranceBreast cancerBiologyMinor allele frequencySingle-nucleotide polymorphismGeneticsLocus (genetics)Genome-wide association studyAlleleHazard ratioCancerOncologyInternal medicineConfidence intervalGenotypeMedicineGenePhenotype

Abstract

fetched live from OpenAlex

The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (<40 years) affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (λ) was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values<10(-5) and 39 SNPs had p-values<10(-4). These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499) and chromosome 10 (rs16917302). The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR) and 95% confidence intervals (CI) for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66-0.86, ) and for rs311499 was 0.72 (95% CI 0.61-0.85, ). FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18-1.39, ). These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.269
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations163
Published2010
Admission routes1
Has abstractyes

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