Selected publications
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Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus.
Nature Communications.
2016
Academic Article
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Times cited: 23 -
Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer.
Nature Communications.
2016
Academic Article
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Times cited: 36 -
An original phylogenetic approach identified mitochondrial haplogroup T1a1 as inversely associated with breast cancer risk in BRCA2 mutation carriers.
Breast Cancer Research.
2015
Academic Article
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Times cited: 13 -
Assessing associations between the AURKAHMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers.
PLoS ONE.
2015
Academic Article
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Times cited: 11 -
Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer.
JAMA - Journal of the American Medical Association.
2015
Academic Article
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Times cited: 172 -
Identification of six new susceptibility loci for invasive epithelial ovarian cancer.
Nature Genetics.
2015
Review
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Times cited: 129 -
Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk.
PLoS Genetics.
2013
Academic Article
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Times cited: 167 -
A nonsynonymous polymorphism in IRS1 modifies risk of developing breast and ovarian cancers in BRCA1 and ovarian cancer in BRCA2 mutation carriers.
Cancer Epidemiology Biomarkers and Prevention.
2012
Academic Article
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Times cited: 13 -
Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2.
Breast Cancer Research.
2011
Academic Article
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Times cited: 48 -
Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers.
Human Molecular Genetics.
2011
Academic Article
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Times cited: 54 -
Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: Implications for risk prediction.
Cancer Research.
2010
Academic Article
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Times cited: 132