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Karen A. Pooley

Researcher at University of Cambridge

Publications -  66
Citations -  10338

Karen A. Pooley is an academic researcher from University of Cambridge. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 41, co-authored 65 publications receiving 9116 citations. Previous affiliations of Karen A. Pooley include Wellcome Trust Sanger Institute & Cancer Research UK.

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Genome-wide association study identifies novel breast cancer susceptibility loci

Douglas F. Easton, +109 more
- 28 Jun 2007 - 
TL;DR: To identify further susceptibility alleles, a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls was conducted, followed by a third stage in which 30 single nucleotide polymorphisms were tested for confirmation.
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A common coding variant in CASP8 is associated with breast cancer risk

Angela Cox, +84 more
- 11 Feb 2007 - 
TL;DR: It is demonstrated that common breast cancer susceptibility alleles with small effects on risk can be identified, given sufficiently powerful studies, as well as the need for further studies to confirm putative genetic associations with breast cancer.
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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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Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2.

Shahana Ahmed, +144 more
- 29 Mar 2009 - 
TL;DR: Strong evidence is found for additional susceptibility loci on 3p and 17q and potential causative genes include SLC4A7 and NEK10 on3p and COX11 on 17q.
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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.