ORCID Profile
0000-0002-5526-5570
Current Organisations
Södersjukhuset
,
Karolinska Institutet
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Publisher: Oxford University Press (OUP)
Date: 05-05-2010
DOI: 10.1093/JNCI/DJQ057
Publisher: BMJ
Date: 19-09-2011
Publisher: Springer Science and Business Media LLC
Date: 29-03-2009
DOI: 10.1038/NG.354
Publisher: Springer Science and Business Media LLC
Date: 18-06-2018
Publisher: Springer Science and Business Media LLC
Date: 18-01-2022
DOI: 10.1038/S42003-021-02990-6
Abstract: Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 ( P = 3.7E−18). Nine other genes were associated with a p -value 0.01 including known susceptibility genes CHEK2 ( P = 0.0008), ATM ( P = 0.002) and BRCA2 ( P = 0.008). Outside the known genes we detected associations with p -values 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger s le sizes will be required to reach robust levels of statistical significance.
Publisher: Springer Science and Business Media LLC
Date: 17-02-2016
Publisher: Springer Science and Business Media LLC
Date: 07-09-2016
DOI: 10.1038/SREP32512
Abstract: Genome-wide association studies have found SNPs at 17q22 to be associated with breast cancer risk. To identify potential causal variants related to breast cancer risk, we performed a high resolution fine-mapping analysis that involved genotyping 517 SNPs using a custom Illumina iSelect array (iCOGS) followed by imputation of genotypes for 3,134 SNPs in more than 89,000 participants of European ancestry from the Breast Cancer Association Consortium (BCAC). We identified 28 highly correlated common variants, in a 53 Kb region spanning two introns of the STXBP4 gene, that are strong candidates for driving breast cancer risk (lead SNP rs2787486 (OR = 0.92 CI 0.90–0.94 P = 8.96 × 10 −15 )) and are correlated with two previously reported risk-associated variants at this locus, SNPs rs6504950 (OR = 0.94, P = 2.04 × 10 −09 , r 2 = 0.73 with lead SNP) and rs1156287 (OR = 0.93, P = 3.41 × 10 −11 , r 2 = 0.83 with lead SNP). Analyses indicate only one causal SNP in the region and several enhancer elements targeting STXBP4 are located within the 53 kb association signal. Expression studies in breast tumor tissues found SNP rs2787486 to be associated with increased STXBP4 expression, suggesting this may be a target gene of this locus.
Publisher: Springer Science and Business Media LLC
Date: 11-2019
DOI: 10.1038/S41523-019-0127-5
Abstract: Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes 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.
Publisher: Public Library of Science (PLoS)
Date: 27-03-2013
Publisher: Qeios Ltd
Date: 19-06-2022
DOI: 10.32388/X7O2ZE
Publisher: Oxford University Press (OUP)
Date: 11-07-2016
DOI: 10.1093/HMG/DDW223
Publisher: American Association for Cancer Research (AACR)
Date: 26-01-2021
DOI: 10.1158/1055-9965.EPI-20-0924
Abstract: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype. We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer–specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype. There was no evidence of heterogeneous associations between risk factors and mortality by subtype (Padj & 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5–25 kg/m2 [HR (95% confidence interval (CI), 1.19 (1.06–1.34)] current versus never smoking [1.37 (1.27–1.47)], high versus low physical activity [0.43 (0.21–0.86)], age ≥30 years versus & years at first pregnancy [0.79 (0.72–0.86)] & –& years versus ≥10 years since last full-term birth [1.31 (1.11–1.55)] ever versus never use of oral contraceptives [0.91 (0.87–0.96)] ever versus never use of menopausal hormone therapy, including current estrogen–progestin therapy [0.61 (0.54–0.69)]. Similar associations with breast cancer mortality were weaker for ex le, 1.11 (1.02–1.21) for current versus never smoking. We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype. Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care.
Publisher: Impact Journals, LLC
Date: 10-03-2015
Abstract: We have utilized a two-stage study design to search for SNPs associated with the survival of breast cancer patients treated with adjuvant chemotherapy. Our initial GWS data set consisted of 805 Finnish breast cancer cases (360 treated with adjuvant chemotherapy). The top 39 SNPs from this stage were analyzed in three independent data sets: iCOGS (n=6720 chemotherapy-treated cases), SUCCESS-A (n=3596), and POSH (n=518). Two SNPs were successfully validated: rs6500843 (any chemotherapy per-allele HR 1.16, 95% C.I. 1.08-1.26, p=0.0001, p(adjusted)=0.0091), and rs11155012 (anthracycline therapy per-allele HR 1.21, 95% C.I. 1.08-1.35, p=0.0010, p(adjusted)=0.0270). The SNP rs6500843 was found to specifically interact with adjuvant chemotherapy, independently of standard prognostic markers (p(interaction)=0.0009), with the rs6500843-GG genotype corresponding to the highest hazard among chemotherapy-treated cases (HR 1.47, 95% C.I. 1.20-1.80). Upon trans-eQTL analysis of public microarray data, the rs6500843 locus was found to associate with the expression of a group of genes involved in cell cycle control, notably AURKA, the expression of which also exhibited differential prognostic value between chemotherapy-treated and untreated cases in our analysis of microarray data. Based on previously published information, we propose that the eQTL genes may be connected to the rs6500843 locus via a RBFOX1-FOXM1 -mediated regulatory pathway.
Publisher: Springer Science and Business Media LLC
Date: 17-06-2014
DOI: 10.1038/NCOMMS5051
Publisher: Springer Science and Business Media LLC
Date: 18-05-2020
Publisher: Elsevier BV
Date: 07-2021
Publisher: Springer Science and Business Media LLC
Date: 28-09-2015
DOI: 10.1038/NG.3412
Publisher: Impact Journals, LLC
Date: 12-10-2017
Publisher: Springer Science and Business Media LLC
Date: 16-06-2020
DOI: 10.1038/S41598-020-65665-Y
Abstract: In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non- BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859–1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482–1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
Publisher: Springer Science and Business Media LLC
Date: 06-04-2016
Publisher: American Association for Cancer Research (AACR)
Date: 31-05-2017
DOI: 10.1158/0008-5472.CAN-16-2568
Abstract: Breast cancer risks conferred by many germline missense variants in the BRCA1 and BRCA2 genes, often referred to as variants of uncertain significance (VUS), have not been established. In this study, associations between 19 BRCA1 and 33 BRCA2 missense substitution variants and breast cancer risk were investigated through a breast cancer case–control study using genotyping data from 38 studies of predominantly European ancestry (41,890 cases and 41,607 controls) and nine studies of Asian ancestry (6,269 cases and 6,624 controls). The BRCA2 c.9104A& C, p.Tyr3035Ser (OR = 2.52 P = 0.04), and BRCA1 c.5096G& A, p.Arg1699Gln (OR = 4.29 P = 0.009) variant were associated with moderately increased risks of breast cancer among Europeans, whereas BRCA2 c.7522G& A, p.Gly2508Ser (OR = 2.68 P = 0.004), and c.8187G& T, p.Lys2729Asn (OR = 1.4 P = 0.004) were associated with moderate and low risks of breast cancer among Asians. Functional characterization of the BRCA2 variants using four quantitative assays showed reduced BRCA2 activity for p.Tyr3035Ser compared with wild-type. Overall, our results show how BRCA2 missense variants that influence protein function can confer clinically relevant, moderately increased risks of breast cancer, with potential implications for risk management guidelines in women with these specific variants. Cancer Res 77(11) 2789–99. ©2017 AACR.
Publisher: Public Library of Science (PLoS)
Date: 23-08-2016
Publisher: Springer Science and Business Media LLC
Date: 26-01-2021
DOI: 10.1038/S41416-020-01185-W
Abstract: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. For pregnanediol-3-glucuronide, there were no genome-wide significant associations for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (−49.2%, 95% CI −56.1% to −41.1%, P = 3.1 × 10 –18 ) in follow-up analyses, rs45446698-C was also associated with lower progesterone (−26.7%, 95% CI −39.4% to −11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82–0.91, P = 6.9 × 10 –8 ). The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
Publisher: American Society of Clinical Oncology (ASCO)
Date: 10-08-2016
Abstract: CHEK2*1100delC is a well-established breast cancer risk variant that is most prevalent in European populations however, there are limited data on risk of breast cancer by age and tumor subtype, which limits its usefulness in breast cancer risk prediction. We aimed to generate tumor subtype- and age-specific risk estimates by using data from the Breast Cancer Association Consortium, including 44,777 patients with breast cancer and 42,997 controls from 33 studies genotyped for CHEK2*1100delC. CHEK2*1100delC genotyping was mostly done by a custom Taqman assay. Breast cancer odds ratios (ORs) for CHEK2*1100delC carriers versus noncarriers were estimated by using logistic regression and adjusted for study (categorical) and age. Main analyses included patients with invasive breast cancer from population- and hospital-based studies. Proportions of heterozygous CHEK2*1100delC carriers in controls, in patients with breast cancer from population- and hospital-based studies, and in patients with breast cancer from familial- and clinical genetics center–based studies were 0.5%, 1.3%, and 3.0%, respectively. The estimated OR for invasive breast cancer was 2.26 (95%CI, 1.90 to 2.69 P = 2.3 × 10 −20 ). The OR was higher for estrogen receptor (ER)–positive disease (2.55 [95%CI, 2.10 to 3.10 P = 4.9 × 10 −21 ]) than it was for ER-negative disease (1.32 [95%CI, 0.93 to 1.88 P = .12] P interaction = 9.9 × 10 −4 ). The OR significantly declined with attained age for breast cancer overall (P = .001) and for ER-positive tumors (P = .001). Estimated cumulative risks for development of ER-positive and ER-negative tumors by age 80 in CHEK2*1100delC carriers were 20% and 3%, respectively, compared with 9% and 2%, respectively, in the general population of the United Kingdom. These CHEK2*1100delC breast cancer risk estimates provide a basis for incorporating CHEK2*1100delC into breast cancer risk prediction models and into guidelines for intensified screening and follow-up.
Publisher: Springer Science and Business Media LLC
Date: 18-08-2021
DOI: 10.1186/S13058-021-01450-7
Abstract: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients. We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP 0.15). Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E−08, BFDP = 0.01, per G allele) variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E−07, BFDP = 0.09, per G allele) variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E−08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E−08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy. We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on breast cancer-specific survival might be limited.
Publisher: Springer Science and Business Media LLC
Date: 09-03-2015
DOI: 10.1038/NG.3242
Publisher: American Association for Cancer Research (AACR)
Date: 05-2009
DOI: 10.1158/1055-9965.EPI-08-0745
Abstract: Previous studies have suggested that minor alleles for ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 may influence breast cancer risk, but the evidence is inconclusive due to their small s le size. These polymorphisms were genotyped in more than 30,000 breast cancer cases and 30,000 controls, primarily of European descent, from 30 studies in the Breast Cancer Association Consortium. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) as a measure of association. We found that the minor alleles for these polymorphisms were not related to invasive breast cancer risk overall in women of European descent: ECCR4 per-allele OR (95% CI) = 0.99 (0.97-1.02), minor allele frequency = 27.5% TNF 1.00 (0.95-1.06), 5.0% CASP10 1.02 (0.98-1.07), 6.5% PGR 1.02 (0.99-1.06), 15.3% and BID 0.98 (0.86-1.12), 1.7%. However, we observed significant between-study heterogeneity for associations with risk for single-nucleotide polymorphisms (SNP) in CASP10, PGR, and BID. Estimates were imprecise for women of Asian and African descent due to small numbers and lower minor allele frequencies (with the exception of BID SNP). The ORs for each copy of the minor allele were not significantly different by estrogen or progesterone receptor status, nor were any significant interactions found between the polymorphisms and age or family history of breast cancer. In conclusion, our data provide persuasive evidence against an overall association between invasive breast cancer risk and ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 genotypes among women of European descent. (Cancer Epidemiol Biomarkers Prev 2009 (5):1610–6)
Publisher: Springer Science and Business Media LLC
Date: 07-11-2017
Publisher: Oxford University Press (OUP)
Date: 19-05-2011
DOI: 10.1093/HMG/DDR228
Publisher: Springer Science and Business Media LLC
Date: 29-02-2016
DOI: 10.1038/NG.3521
Publisher: Elsevier BV
Date: 11-2020
Publisher: Springer Science and Business Media LLC
Date: 25-01-2019
DOI: 10.1038/S41467-018-08054-4
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer ( r g = 0.57, p = 4.6 × 10 −8 ), breast and ovarian cancer ( r g = 0.24, p = 7 × 10 −5 ), breast and lung cancer ( r g = 0.18, p =1.5 × 10 −6 ) and breast and colorectal cancer ( r g = 0.15, p = 1.1 × 10 −4 ). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
Publisher: Oxford University Press (OUP)
Date: 06-01-2009
DOI: 10.1093/HMG/DDN429
Publisher: Public Library of Science (PLoS)
Date: 29-06-2012
Publisher: Elsevier BV
Date: 05-2016
Publisher: Ovid Technologies (Wolters Kluwer Health)
Date: 12-2015
Publisher: Springer Science and Business Media LLC
Date: 14-05-2021
DOI: 10.1038/S41467-021-23162-4
Abstract: A Correction to this paper has been published: 0.1038/s41467-021-23162-4
Publisher: Wiley
Date: 03-2020
DOI: 10.1002/GEPI.22288
Publisher: Public Library of Science (PLoS)
Date: 05-05-2016
Publisher: Elsevier BV
Date: 06-2018
Publisher: Oxford University Press (OUP)
Date: 13-06-2014
DOI: 10.1093/HMG/DDU300
Publisher: Elsevier BV
Date: 05-2017
DOI: 10.1038/GIM.2016.147
Publisher: Springer Science and Business Media LLC
Date: 27-04-2016
DOI: 10.1038/NCOMMS11375
Abstract: Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations ( P × 10 −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 .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.
Publisher: American Association for Cancer Research (AACR)
Date: 09-2010
DOI: 10.1158/1055-9965.EPI-10-0374
Abstract: Background: Truncating mutations in ATM have been shown to increase the risk of breast cancer but the effect of missense variants remains contentious. Methods: We have genotyped five polymorphic (minor allele frequency, 0.9-2.6%) missense single nucleotide polymorphisms (SNP) in ATM (S49C, S707P, F858L, P1054R, and L1420F) in 26,101 breast cancer cases and 29,842 controls from 23 studies in the Breast Cancer Association Consortium. Results: Combining the data from all five SNPs, the odds ratio (OR) was 1.05 for being a heterozygote for any of the SNPs and 1.51 for being a rare homozygote for any of the SNPs with an overall trend OR of 1.06 (Ptrend = 0.04). The trend OR among bilateral and familial cases was 1.12 (95% confidence interval, 1.02-1.23 Ptrend = 0.02). Conclusions: In this large combined analysis, these five missense ATM SNPs were associated with a small increased risk of breast cancer, explaining an estimated 0.03% of the excess familial risk of breast cancer. Impact: Testing the combined effects of rare missense variants in known breast cancer genes in large collaborative studies should clarify their overall contribution to breast cancer susceptibility. Cancer Epidemiol Biomarkers Prev 19(9) 2143–51. ©2010 AACR.
Publisher: Springer Science and Business Media LLC
Date: 17-02-2021
DOI: 10.1038/S41467-020-20496-3
Abstract: Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P 10 −8 , at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD , SP11 and EIF1 , genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.
Publisher: Springer Science and Business Media LLC
Date: 14-11-2017
DOI: 10.1007/S10549-017-4571-3
Abstract: Exercise training is an effective and safe way to counteract cancer-related fatigue (CRF) and to improve health-related quality of life (HRQoL). High-intensity interval training has proven beneficial for the health of clinical populations. The aim of this randomized controlled trial was to compare the effects of resistance and high-intensity interval training (RT–HIIT), and moderate-intensity aerobic and high-intensity interval training (AT–HIIT) to usual care (UC) in women with breast cancer undergoing chemotherapy. The primary endpoint was CRF and the secondary endpoints were HRQoL and cancer treatment-related symptoms. Two hundred and forty women planned to undergo chemotherapy were randomized to supervised RT–HIIT, AT–HIIT, or UC. Measurements were performed at baseline and at 16 weeks. Questionnaires included Piper Fatigue Scale, EORTC-QLQ-C30, and Memorial Symptom Assessment Scale. The RT–HIIT group was superior to UC for CRF: total CRF ( p = 0.02), behavior/daily life ( p = 0.01), and sensory hysical ( p = 0.03) CRF. Role functioning significantly improved while cognitive functioning was unchanged for RT–HIIT compared to declines shown in the UC group ( p = 0.04). AT–HIIT significantly improved emotional functioning versus UC ( p = 0.01) and was superior to UC for pain symptoms ( p = 0.03). RT–HIIT reported a reduced symptom burden, while AT–HIIT remained stable compared to deteriorations shown by UC ( p 0.01). Only RT–HIIT was superior to UC for total symptoms ( p 0.01). 16 weeks of resistance and HIIT was effective in preventing increases in CRF and in reducing symptom burden for patients during chemotherapy for breast cancer. These findings add to a growing body of evidence supporting the inclusion of structured exercise prescriptions, including HIIT, as a vital component of cancer rehabilitation. Clinicaltrials.gov Registration Number: NCT02522260.
Publisher: Oxford University Press (OUP)
Date: 09-10-2017
DOI: 10.1093/IJE/DYX131
Publisher: Wiley
Date: 17-06-2016
DOI: 10.1002/IJC.30150
Publisher: Impact Journals, LLC
Date: 22-10-2016
Publisher: Springer Science and Business Media LLC
Date: 16-01-2020
DOI: 10.1038/S41467-019-14100-6
Abstract: Identifying the underlying genetic drivers of the heritability of breast cancer prognosis remains elusive. We adapt a network-based approach to handle underpowered complex datasets to provide new insights into the potential function of germline variants in breast cancer prognosis. This network-based analysis studies ~7.3 million variants in 84,457 breast cancer patients in relation to breast cancer survival and confirms the results on 12,381 independent patients. Aggregating the prognostic effects of genetic variants across multiple genes, we identify four gene modules associated with survival in estrogen receptor (ER)-negative and one in ER-positive disease. The modules show biological enrichment for cancer-related processes such as G-alpha signaling, circadian clock, angiogenesis, and Rho-GTPases in apoptosis.
Publisher: Impact Journals, LLC
Date: 05-02-2017
Publisher: Hindawi Limited
Date: 06-04-2018
DOI: 10.1002/HUMU.23411
Publisher: Springer Science and Business Media LLC
Date: 23-10-2017
DOI: 10.1038/NATURE24284
Publisher: Springer Science and Business Media LLC
Date: 2020
Publisher: Oxford University Press (OUP)
Date: 18-06-2014
DOI: 10.1093/HMG/DDU311
Publisher: Springer Science and Business Media LLC
Date: 04-01-2022
DOI: 10.1186/S13058-021-01484-X
Abstract: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
Publisher: Springer Science and Business Media LLC
Date: 23-09-2019
DOI: 10.1038/S41467-019-12095-8
Abstract: An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Publisher: Oxford University Press (OUP)
Date: 19-12-2013
DOI: 10.1093/HMG/DDT620
Publisher: Springer Science and Business Media LLC
Date: 29-08-2019
DOI: 10.1038/S41598-019-48804-Y
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC , has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1 , BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Publisher: Springer Science and Business Media LLC
Date: 21-02-2019
Publisher: Springer Science and Business Media LLC
Date: 23-10-2017
DOI: 10.1038/NG.3785
Publisher: Springer Science and Business Media LLC
Date: 15-04-2019
DOI: 10.1038/S41467-018-08053-5
Abstract: Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.
Publisher: Springer Science and Business Media LLC
Date: 21-06-2016
Publisher: Public Library of Science (PLoS)
Date: 24-08-2016
Publisher: Elsevier BV
Date: 10-2016
No related grants have been discovered for Sara Margolin.