https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 Evaluation of associations between genetically predicted circulating protein biomarkers and breast cancer risk https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37129 via the integration of genomics and proteomics data. In the Breast Cancer Association Consortium (BCAC), with 122,977 cases and 105,974 controls of European descendants, we evaluated the associations of the genetically predicted concentrations of >1,400 circulating proteins with breast cancer risk. We used data from a large-scale protein quantitative trait loci (pQTL) analysis as our study instrument. Summary statistics for these pQTL variants related to breast cancer risk were obtained from the BCAC and used to estimate odds ratios (OR) for each protein using the inverse-variance weighted method. We identified 56 proteins significantly associated with breast cancer risk by instrumental analysis (false discovery rate <0.05). Of these, the concentrations of 32 were influenced by variants close to a breast cancer susceptibility locus (ABO, 9q34.2). Many of these proteins, such as insulin receptor, insulin-like growth factor receptor 1 and other membrane receptors (OR: 0.82-1.18, p values: 6.96 × 10-43.28 × 10-8), are linked to insulin resistance and estrogen receptor signaling pathways. Proteins identified at other loci include those involved in biological processes such as alcohol and lipid metabolism, proteolysis, apoptosis, immune regulation and cell motility and proliferation. Consistent associations were observed for 22 proteins in the UK Biobank data (p < 0.05). The study identifies potential novel biomarkers for breast cancer, but further investigation is needed to replicate our findings.]]> Wed 19 Aug 2020 12:59:44 AEST ]]> Fine-mapping of the HNF1B multicancer locus identifies candidate variants that mediate endometrial cancer risk. https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20561 Wed 11 Apr 2018 15:36:46 AEST ]]> Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26195 Wed 11 Apr 2018 15:00:42 AEST ]]> Prediction of breast cancer risk based on profiling with common genetic variants https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28423 Wed 11 Apr 2018 14:49:25 AEST ]]> Refined histopathological predictors of BRCA1 and BRCA2 mutation status: a large-scale analysis of breast cancer characteristics from the BCAC, CIMBA, and ENIGMA consortia https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:19379 Wed 11 Apr 2018 14:19:24 AEST ]]> Candidate locus analysis of the TERT-CLPTM1L cancer risk region on chromosome 5p15 identifies multiple independent variants associated with endometrial cancer risk https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28088 −6 to P = 7.7 × 10−5). Only one falls into a haplotype previously associated with other cancer types (rs7705526, in TERT intron 1), and this SNP has been shown to alter TERT promoter activity. One of the novel associations (rs13174814) maps to a second region in the TERT promoter and the other (rs62329728) is in the promoter region of CLPTM1L; neither are correlated with previously reported cancer-associated SNPs. Using TCGA RNASeq data, we found significantly increased expression of both TERT and CLPTM1L in endometrial cancer tissue compared with normal tissue (TERTP = 1.5 × 10−18, CLPTM1LP = 1.5 × 10−19). Our study thus reports a novel endometrial cancer risk locus and expands the spectrum of cancer types associated with genetic variation at 5p15, further highlighting the importance of this region for cancer susceptibility.]]> Wed 11 Apr 2018 09:49:25 AEST ]]> Polymorphisms in a putative enhancer at the 10q21.2 breast cancer risk locus regulate NRBF2 expression https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28231 Wed 01 Aug 2018 14:52:20 AEST ]]> Association analysis identifies 65 new breast cancer risk loci https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33895 BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10-8. The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.]]> Tue 22 Jan 2019 14:37:29 AEDT ]]> Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:33786 -8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.]]> Tue 15 Jan 2019 11:13:41 AEDT ]]> Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20582 Sat 24 Mar 2018 07:55:36 AEDT ]]> Comprehensive genetic assessment of the ESR1 locus identifies a risk region for endometrial cancer https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26799 Sat 24 Mar 2018 07:36:26 AEDT ]]> Genetic risk score mendelian randomization shows that obesity measured as body mass index, but not waist:hip ratio, is causal for endometrial cancer https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30306 Sat 24 Mar 2018 07:31:48 AEDT ]]>