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

Overview of attention for article published in PLoS Genetics, October 2010
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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2 patents
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1 Facebook page

Readers on

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113 Mendeley
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6 CiteULike
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1 Connotea
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Article details
Title
Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer
Published in
PLoS Genetics, October 2010
DOI 10.1371/journal.pgen.1001183
Pubmed ID
Authors

Mia M. Gaudet, Tomas Kirchhoff, Todd Green, Joseph Vijai, Joshua M. Korn, Candace Guiducci, Ayellet V. Segrè, Kate McGee, Lesley McGuffog, Christiana Kartsonaki, Jonathan Morrison, Sue Healey, Olga M. Sinilnikova, Dominique Stoppa-Lyonnet, Sylvie Mazoyer, Marion Gauthier-Villars, Hagay Sobol, Michel Longy, Marc Frenay, GEMO Study Collaborators, Frans B. L. Hogervorst, Matti A. Rookus, J. Margriet Collée, Nicoline Hoogerbrugge, Kees E. P. van Roozendaal, HEBON Study Collaborators, Marion Piedmonte, Wendy Rubinstein, Stacy Nerenstone, Linda Van Le, Stephanie V. Blank, Trinidad Caldés, Miguel de la Hoya, Heli Nevanlinna, Kristiina Aittomäki, Conxi Lazaro, Ignacio Blanco, Adalgeir Arason, Oskar T. Johannsson, Rosa B. Barkardottir, Peter Devilee, Olofunmilayo 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 Ozcelik, OCGN, Amanda E. Toland, Marco Montagna, Emma D'Andrea, Eitan Friedman, Yael Laitman, Ake Borg, Mary Beattie, Susan J. Ramus, Susan M. Domchek, Katherine L. Nathanson, Tim Rebbeck, Amanda B. Spurdle, Xiaoqing Chen, Helene Holland, kConFab, Esther M. John, John L. Hopper, Saundra S. Buys, Mary B. Daly, Melissa C. Southey, Mary Beth Terry, Nadine Tung, Thomas V. Overeem Hansen, Finn C. Nielsen, Mark I. Greene, Phuong L., Ana Osorio, Mercedes Durán, Raquel Andres, Javier Benítez, Jeffrey N. Weitzel, Judy Garber, Ute Hamann, Susan Peock, Margaret Cook, Clare Oliver, Debra Frost, Radka Platte, D. Gareth Evans, Fiona Lalloo, Ros 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 M. Altshuler, Kenneth Offit

Abstract

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.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 3 3%
Romania 1 <1%
Norway 1 <1%
Mexico 1 <1%
United Kingdom 1 <1%
China 1 <1%
Canada 1 <1%
Belgium 1 <1%
Unknown 103 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 27 24%
Student > Ph. D. Student 20 18%
Professor > Associate Professor 11 10%
Student > Bachelor 9 8%
Student > Master 8 7%
Other 19 17%
Unknown 19 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 40 35%
Medicine and Dentistry 25 22%
Biochemistry, Genetics and Molecular Biology 13 12%
Psychology 3 3%
Mathematics 2 2%
Other 8 7%
Unknown 22 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 August 2019.
All research outputs
#7,323,913
of 33,957,889 outputs
Outputs from PLoS Genetics
#4,214
of 9,800 outputs
Outputs of similar age
#33,040
of 151,800 outputs
Outputs of similar age from PLoS Genetics
#32
of 87 outputs
Altmetric has tracked 33,957,889 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,800 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.9. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 151,800 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.