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Gord Glendon

Researcher at University of Toronto

Publications -  74
Citations -  6600

Gord Glendon is an academic researcher from University of Toronto. The author has contributed to research in topics: Breast cancer & Single-nucleotide polymorphism. The author has an hindex of 34, co-authored 66 publications receiving 5587 citations. Previous affiliations of Gord Glendon include Cancer Care Ontario & Mount Sinai Hospital, Toronto.

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Journal ArticleDOI

Association Between BRCA1 and BRCA2 Mutations and Survival in Women with Invasive Epithelial Ovarian Cancer

Kelly L. Bolton, +77 more
- 25 Jan 2012 - 
TL;DR: Among patients with invasive EOC, having a germline mutation in BRCA1 or BRC a2 was associated with improved 5-year overall survival and BRCa2 carriers had the best prognosis.
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Multiple independent variants at the TERT locus are associated with telomere length and risks of breast and ovarian cancer

Stig E. Bojesen, +455 more
- 01 Apr 2013 - 
TL;DR: Using the Illumina custom genotyping array iCOGs, SNPs at the TERT locus in breast, ovarian and BRCA1 mutation carrier cancer cases and controls and leukocyte telomere measurements are analyzed to find associations cluster into three independent peaks.
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Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

Nasim Mavaddat, +242 more
TL;DR: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer, and the observed level of risk discrimination could inform targeted screening and prevention strategies.
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Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk

Fergus J. Couch, +261 more
- 27 Mar 2013 - 
TL;DR: It is estimated that the breast cancer lifetime risks for the5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk, and the ovarian cancer lifetime risk is 63% or higher, based on the known cancer risk-modifying loci.
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Breast Cancer Risk Genes - Association Analysis in More than 113,000 Women

Leila Dorling, +196 more
TL;DR: The results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling.