https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44999 Wed 26 Oct 2022 10:12:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24073 -11). SNP rs727479 was also among those most strongly associated with circulating E₂ concentrations in 2767 post-menopausal controls (P=7.4x10^-8). The observed endometrial cancer odds ratio per rs727479 A-allele (1.15, CI=1.11-1.21) is compatible with that predicted by the observed effect on E₂ concentrations (1.09, CI=1.03-1.21), consistent with the hypothesis that endometrial cancer risk is driven by E₂. From 28 candidate-causal SNPs, 12 co-located with three putative gene-regulatory elements and their risk alleles associated with higher CYP19A1 expression in bioinformatical analyses. For both phenotypes, the associations with rs727479 were stronger among women with a higher BMI (P_interaction=0.034 and 0.066 respectively), suggesting a biologically plausible gene-environment interaction.]]> Wed 19 Apr 2023 16:42:45 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30306 Wed 15 Dec 2021 16:09:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26195 Wed 11 Apr 2018 15:00:42 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28423 Wed 11 Apr 2018 14:49:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29559 G and c.3113G > A, CHEK2 c.349A > G, c.538C > T, c.715G > A, c.1036C > T, c.1312G > T, and c.1343T > G and ATM c.7271T > G. We assessed associations with breast cancer risk (42 671 cases and 42 164 controls), as well as prostate (22 301 cases and 22 320 controls) and ovarian (14 542 cases and 23 491 controls) cancer risk, for each variant. Results: For European women, strong evidence of association with breast cancer risk was observed for PALB2 c.1592delT OR 3.44 (95% CI 1.39 to 8.52, p=7.1×10-5), PALB2 c.3113G > A OR 4.21 (95% CI 1.84 to 9.60, p=6.9×10-8) and ATM c.7271T > G OR 11.0 (95% CI 1.42 to 85.7, p=0.0012). We also found evidence of association with breast cancer risk for three variants in CHEK2, c.349A > G OR 2.26 (95% CI 1.29 to 3.95), c.1036C > T OR 5.06 (95% CI 1.09 to 23.5) and c.538C > T OR 1.33 (95% CI 1.05 to 1.67) (p=0.017). Evidence for prostate cancer risk was observed for CHEK2 c.1343T > G OR 3.03 (95% CI 1.53 to 6.03, p=0.0006) for African men and CHEK2 c.1312G > T OR 2.21 (95% CI 1.06 to 4.63, p=0.030) for European men. No evidence of association with ovarian cancer was found for any of these variants. Conclusions This report adds to accumulating evidence that at least some variants in these genes are associated with an increased risk of breast cancer that is clinically important.]]> Wed 09 Feb 2022 15:56:45 AEDT ]]> 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 07 Apr 2021 20:21:39 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:28231 Wed 01 Aug 2018 14:52:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41408 Tue 21 Mar 2023 18:03:04 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54872 Tue 19 Mar 2024 16:38:34 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52761 Tue 14 Nov 2023 15:30:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48335 Tue 14 Mar 2023 17:16:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20561 Tue 10 Oct 2023 08:38:59 AEDT ]]> 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.]]> Tue 10 Oct 2023 08:38:44 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42894 Tue 06 Sep 2022 14:32:21 AEST ]]> 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.]]> Thu 30 Mar 2023 15:49:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50033 T among the Finnish cancer patients and subsequently genotyped the mutation in additional breast cancer cases (n = 5259) and population controls (n = 3586) from Finland and Belarus. No significant association with breast cancer risk was seen in the meta-analysis of the Finnish datasets or in the large BCAC dataset. The association with previously identified risk variants rs999737, rs2588809, and rs1314913 was replicated among all breast cancer cases and also among familial cases in the BCAC dataset. The most significant association was observed for the haplotype carrying the risk-alleles of all the three SNPs both among all cases (odds ratio (OR): 1.15, 95% confidence interval (CI): 1.11-1.19, P = 8.88 x 10-16) and among familial cases (OR: 1.24, 95% CI: 1.16-1.32, P = 6.19 x 10-11), compared to the haplotype with the respective protective alleles. Our results suggest that loss-of-function mutations in RAD51B are rare, but common variation at the RAD51B region is significantly associated with familial breast cancer risk.]]> Thu 29 Jun 2023 13:56:37 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45092 BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM^−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.]]> Thu 27 Oct 2022 15:50:42 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46914 Thu 08 Dec 2022 08:47:20 AEDT ]]> 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.]]> Thu 04 Nov 2021 10:39:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:17125 −10) that is also associated with risk of prostate cancer and is inversely associated with risk of type 2 diabetes.]]> Sat 24 Mar 2018 08:02:31 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20582 Sat 24 Mar 2018 07:55:36 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:26799 Sat 24 Mar 2018 07:36:26 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24831 -8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ~11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.]]> Mon 11 Mar 2019 12:13:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46399 313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS₃₁₃ odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS₃₁₃ and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS₃₁₃ and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.]]> Fri 18 Nov 2022 14:15:23 AEDT ]]>