Now showing items 33-39 of 39

• #### PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS ﻿

(BMJ Publishing Group, 2016-09-05)
Background The rarity of mutations in PALB2, CHEK2 and ATM make it difficult to estimate precisely associated cancer risks. Population-based family studies have provided evidence that at least some of these mutations are ...
• #### Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression ﻿

(Elsevier, 2015-06-11)
Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association ...
• #### RAD51B in Familial Breast Cancer ﻿

(PLOS, 2016-05-05)
Common variation on 14q24.1, close to RAD51B, has been associated with breast cancer: rs999737 and rs2588809 with the risk of female breast cancer and rs1314913 with the risk of male breast cancer. The aim of this study ...
• #### Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study ﻿

(2017-11-07)
Abstract Background Previous studies have shown that reproductive factors are differentially associated with breast cancer (BC) risk by subtypes. The aim of this study was to ...
• #### Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study. ﻿

(Springer Nature, 2017-11-07)
Background: Previous studies have shown that reproductive factors are differentially associated with breast cancer (BC) risk by subtypes. The aim of this study was to investigate associations between reproductive factors ...
• #### Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci ﻿

(AACR, 2015-04-02)
BACKGROUND: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer (PrCa) risk which explain a substantial proportion of familial relative risk. These variants can be used ...
• #### Use of a novel non-parametric version of DEPTH to identify genomic regions associated with prostate cancer risk ﻿

(American Association for Cancer Research, 2016-08-18)
$\textbf{Background:}$ We have developed a GWAS analysis method called DEPTH (DEPendency of association on the number of Top Hits) to identify genomic regions potentially associated with disease by considering overlapping ...