Author: "Melissa C, Southey" - Searchworks@Jio Institute Digital Library Search Results

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51. Heritable DNA methylation marks associated with susceptibility to breast cancer

Author: Jihoon E. Joo, James G. Dowty, Roger L. Milne, Ee Ming Wong, Pierre-Antoine Dugué, Dallas English, John L. Hopper, David E. Goldgar, Graham G. Giles, Melissa C. Southey, and kConFab
Subjects: Science
Abstract: DNA methylation is associated with breast cancer risk. Here the authors measure DNA methylation in the blood of individuals from 25 Australian families with multiple cases of breast cancer but not known mutations associated with breast cancer risk to identify possible heritable methylation markers.
Published: 2018
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52. Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study

Author: Shuai Li, Ee Ming Wong, Minh Bui, Tuong L. Nguyen, Ji-Hoon Eric Joo, Jennifer Stone, Gillian S. Dite, Graham G. Giles, Richard Saffery, Melissa C. Southey, and John L. Hopper
Subjects: DNA methylation, Smoking, Epigenome-wide association study, Causal inference, Family study, Medicine, Genetics, QH426-470
Abstract: Abstract Background Smoking has been reported to be associated with peripheral blood DNA methylation, but the causal aspects of the association have rarely been investigated. We aimed to investigate the association and underlying causation between smoking and blood methylation. Methods The methylation profile of DNA from the peripheral blood, collected as dried blood spots stored on Guthrie cards, was measured for 479 Australian women including 66 monozygotic twin pairs, 66 dizygotic twin pairs, and 215 sisters of twins from 130 twin families using the Infinium HumanMethylation450K BeadChip array. Linear regression was used to estimate associations between methylation at ~ 410,000 cytosine-guanine dinucleotides (CpGs) and smoking status. A regression-based methodology for twins, Inference about Causation through Examination of Familial Confounding (ICE FALCON), was used to assess putative causation. Results At a 5% false discovery rate, 39 CpGs located at 27 loci, including previously reported AHRR, F2RL3, 2q37.1 and 6p21.33, were found to be differentially methylated across never, former and current smokers. For all 39 CpG sites, current smokers had the lowest methylation level. Our study provides the first replication for two previously reported CpG sites, cg06226150 (SLC2A4RG) and cg21733098 (12q24.32). From the ICE FALCON analysis with smoking status as the predictor and methylation score as the outcome, a woman’s methylation score was associated with her co-twin’s smoking status, and the association attenuated towards the null conditioning on her own smoking status, consistent with smoking status causing changes in methylation. To the contrary, using methylation score as the predictor and smoking status as the outcome, a woman’s smoking status was not associated with her co-twin’s methylation score, consistent with changes in methylation not causing smoking status. Conclusions For middle-aged women, peripheral blood DNA methylation at several genomic locations is associated with smoking. Our study suggests that smoking has a causal effect on peripheral blood DNA methylation, but not vice versa.
Published: 2018
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53. Is RNASEL:p.Glu265* a modifier of early-onset breast cancer risk for carriers of high-risk mutations?

Author: Tú Nguyen-Dumont, Zhi L. Teo, Fleur Hammet, Alexis Roberge, Maryam Mahmoodi, Helen Tsimiklis, Daniel J. Park, Bernard J. Pope, Andrew Lonie, Miroslav K. Kapuscinski, Khalid Mahmood, ABCFR, David E. Goldgar, Graham G. Giles, Ingrid Winship, John L. Hopper, and Melissa C. Southey
Subjects: RNASEL:P.Glu265*, Breast cancer, Modifier risk gene, Early-onset cancer, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Breast cancer risk for BRCA1 and BRCA2 pathogenic mutation carriers is modified by risk factors that cluster in families, including genetic modifiers of risk. We considered genetic modifiers of risk for carriers of high-risk mutations in other breast cancer susceptibility genes. Methods In a family known to carry the high-risk mutation PALB2:c.3113G>A (p.Trp1038*), whole-exome sequencing was performed on germline DNA from four affected women, three of whom were mutation carriers. Results RNASEL:p.Glu265* was identified in one of the PALB2 carriers who had two primary invasive breast cancer diagnoses before 50 years. Gene-panel testing of BRCA1, BRCA2, PALB2 and RNASEL in the Australian Breast Cancer Family Registry identified five carriers of RNASEL:p.Glu265* in 591 early onset breast cancer cases. Three of the five women (60%) carrying RNASEL:p.Glu265* also carried a pathogenic mutation in a breast cancer susceptibility gene compared with 30 carriers of pathogenic mutations in the 586 non-carriers of RNASEL:p.Glu265* (5%) (p
Published: 2018
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54. FANCM and RECQL genetic variants and breast cancer susceptibility: relevance to South Poland and West Ukraine

Author: Tú Nguyen-Dumont, Aleksander Myszka, Pawel Karpinski, Maria M. Sasiadek, Hayane Akopyan, Fleur Hammet, Helen Tsimiklis, Daniel J. Park, Bernard J. Pope, Ryszard Slezak, Nataliya Kitsera, Aleksandra Siekierzynska, and Melissa C. Southey
Subjects: FANCM, RECQL, Breast cancer predisposition, Familial breast cancer, Gene panel testing, Internal medicine, RC31-1245, Genetics, QH426-470
Abstract: Abstract Background FANCM and RECQL have recently been reported as breast cancer susceptibility genes and it has been suggested that they should be included on gene panel tests for breast cancer predisposition. However, the clinical value of testing for mutations in RECQL and FANCM remains to be determined. In this study, we have characterised the spectrum of FANCM and RECQL mutations in women affected with breast or ovarian cancer from South-West Poland and West Ukraine. Methods We applied Hi-Plex, an amplicon-based enrichment method for targeted massively parallel sequencing, to screen the coding exons and proximal intron-exon junctions of FANCM and RECQL in germline DNA from unrelated women affected with breast cancer (n = 338) and ovarian cancer (n = 89) from Poland (n = 304) and Ukraine (n = 123). These women were at high-risk of carrying a genetic predisposition to breast and/or ovarian cancer due to a family history and/or early-onset disease. Results Among 427 women screened, we identified one carrier of the FANCM:c.1972C > T nonsense mutation (0.23%), and two carriers of the frameshift insertion FANCM:c.1491dup (0.47%). None of the variants we observed in RECQL were predicted to be loss-of-function mutations by standard variant effect prediction tools. Conclusions Our study of the Polish and Ukrainian populations has identified a carrier frequency of truncating mutations in FANCM consistent with previous reports. Although initial reports suggesting that mutations in RECQL could be associated with increased breast cancer risk included women from Poland and identified the RECQL:c.1667_1667 + 3delAGTA mutation in 0.23–0.35% of breast cancer cases, we did not observe any carriers in our study cohort. Continued screening, both in research and diagnostic settings, will enable the accumulation of data that is needed to establish the clinical utility of including RECQL and FANCM on gene panel tests.
Published: 2018
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55. Epigenetic supersimilarity of monozygotic twin pairs

Author: Timothy E. Van Baak, Cristian Coarfa, Pierre-Antoine Dugué, Giovanni Fiorito, Eleonora Laritsky, Maria S. Baker, Noah J. Kessler, Jianrong Dong, Jack D. Duryea, Matt J. Silver, Ayden Saffari, Andrew M. Prentice, Sophie E. Moore, Akram Ghantous, Michael N. Routledge, Yun Yun Gong, Zdenko Herceg, Paolo Vineis, Gianluca Severi, John L. Hopper, Melissa C. Southey, Graham G. Giles, Roger L. Milne, and Robert A. Waterland
Subjects: Epigenetics, Twins, Monozygotic, Dizygotic, Cancer, Metastable epialleles, Biology (General), QH301-705.5, Genetics, QH426-470
Abstract: Abstract Background Monozygotic twins have long been studied to estimate heritability and explore epigenetic influences on phenotypic variation. The phenotypic and epigenetic similarities of monozygotic twins have been assumed to be largely due to their genetic identity. Results Here, by analyzing data from a genome-scale study of DNA methylation in monozygotic and dizygotic twins, we identified genomic regions at which the epigenetic similarity of monozygotic twins is substantially greater than can be explained by their genetic identity. This “epigenetic supersimilarity” apparently results from locus-specific establishment of epigenotype prior to embryo cleavage during twinning. Epigenetically supersimilar loci exhibit systemic interindividual epigenetic variation and plasticity to periconceptional environment and are enriched in sub-telomeric regions. In case-control studies nested in a prospective cohort, blood DNA methylation at these loci years before diagnosis is associated with risk of developing several types of cancer. Conclusions These results establish a link between early embryonic epigenetic development and adult disease. More broadly, epigenetic supersimilarity is a previously unrecognized phenomenon that may contribute to the phenotypic similarity of monozygotic twins.
Published: 2018
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56. The utility of DNA extracted from saliva for genome-wide molecular research platforms

Author: Fiona J. Bruinsma, Jihoon E. Joo, Ee Ming Wong, Graham G. Giles, and Melissa C. Southey
Subjects: Blood, Saliva, Genetic analyses, DNA methylation, Epigenetics, Medicine, Biology (General), QH301-705.5, Science (General), Q1-390
Abstract: Abstract Objective The study aimed to investigate the suitability of DNA extracted from saliva for high throughput molecular genotyping and DNA methylation platforms by comparing its performance with that of DNA extracted from blood. The genome-wide methylation profile, using the Infinium HumanMethylation450 Beadchip array® (Illumina, San Diego, CA), was measured for 20 DNA samples. Common genetic variation was measured, using the Infinium HumanCore Beadchip® (Illumina, San Diego, CA) for 4 samples (matching samples from 2 people). Results DNA from blood and saliva returned genotyping call rates and reproducibility frequencies of > 99%. High-quality DNA methylation data was obtained from both saliva and blood DNA, with average detection p-values for each sample ranging from 0.001 to 0.006. Slightly higher global DNA methylation levels were observed in whole blood DNA than saliva DNA. Correlations between individuals for each sample type were generally greater than correlations between two sample types from the same individual (Pearson’s correlation, r = 0.9696 in 10 pairs of matched blood and saliva derived DNA, r = 0.9702 between saliva samples, and r = 0.9769 between blood derived DNA). Saliva yields DNA of sufficient quantity and quality to compare favourably with blood as a source of DNA for genetic and epigenetic research purposes.
Published: 2018
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57. Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers

Author: Juliette Coignard, Michael Lush, Jonathan Beesley, Tracy A. O’Mara, Joe Dennis, Jonathan P. Tyrer, Daniel R. Barnes, Lesley McGuffog, Goska Leslie, Manjeet K. Bolla, Muriel A. Adank, Simona Agata, Thomas Ahearn, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Norbert Arnold, Kristan J. Aronson, Banu K. Arun, Annelie Augustinsson, Jacopo Azzollini, Daniel Barrowdale, Caroline Baynes, Heko Becher, Marina Bermisheva, Leslie Bernstein, Katarzyna Białkowska, Carl Blomqvist, Stig E. Bojesen, Bernardo Bonanni, Ake Borg, Hiltrud Brauch, Hermann Brenner, Barbara Burwinkel, Saundra S. Buys, Trinidad Caldés, Maria A. Caligo, Daniele Campa, Brian D. Carter, Jose E. Castelao, Jenny Chang-Claude, Stephen J. Chanock, Wendy K. Chung, Kathleen B. M. Claes, Christine L. Clarke, GEMO Study Collaborators, EMBRACE Collaborators, J. Margriet Collée, Don M. Conroy, Kamila Czene, Mary B. Daly, Peter Devilee, Orland Diez, Yuan Chun Ding, Susan M. Domchek, Thilo Dörk, Isabel dos-Santos-Silva, Alison M. Dunning, Miriam Dwek, Diana M. Eccles, A. Heather Eliassen, Christoph Engel, Mikael Eriksson, D. Gareth Evans, Peter A. Fasching, Henrik Flyger, Florentia Fostira, Eitan Friedman, Lin Fritschi, Debra Frost, Manuela Gago-Dominguez, Susan M. Gapstur, Judy Garber, Vanesa Garcia-Barberan, Montserrat García-Closas, José A. García-Sáenz, Mia M. Gaudet, Simon A. Gayther, Andrea Gehrig, Vassilios Georgoulias, Graham G. Giles, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Mark H. Greene, Pascal Guénel, Lothar Haeberle, Eric Hahnen, Christopher A. Haiman, Niclas Håkansson, Per Hall, Ute Hamann, Patricia A. Harrington, Steven N. Hart, Wei He, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Darling J. Horcasitas, Peter J. Hulick, David J. Hunter, Evgeny N. Imyanitov, KConFab Investigators, HEBON Investigators, ABCTB Investigators, Agnes Jager, Anna Jakubowska, Paul A. James, Uffe Birk Jensen, Esther M. John, Michael E. Jones, Rudolf Kaaks, Pooja Middha Kapoor, Beth Y. Karlan, Renske Keeman, Elza Khusnutdinova, Johanna I. Kiiski, Yon-Dschun Ko, Veli-Matti Kosma, Peter Kraft, Allison W. Kurian, Yael Laitman, Diether Lambrechts, Loic Le Marchand, Jenny Lester, Fabienne Lesueur, Tricia Lindstrom, Adria Lopez-Fernández, Jennifer T. Loud, Craig Luccarini, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, John W. M. Martens, Noura Mebirouk, Alfons Meindl, Austin Miller, Roger L. Milne, Marco Montagna, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Finn C. Nielsen, Katie M. O’Brien, Olufunmilayo I. Olopade, Janet E. Olson, Håkan Olsson, Ana Osorio, Laura Ottini, Tjoung-Won Park-Simon, Michael T. Parsons, Inge Sokilde Pedersen, Beth Peshkin, Paolo Peterlongo, Julian Peto, Paul D. P. Pharoah, Kelly-Anne Phillips, Eric C. Polley, Bruce Poppe, Nadege Presneau, Miquel Angel Pujana, Kevin Punie, Paolo Radice, Johanna Rantala, Muhammad U. Rashid, Gad Rennert, Hedy S. Rennert, Mark Robson, Atocha Romero, Maria Rossing, Emmanouil Saloustros, Dale P. Sandler, Regina Santella, Maren T. Scheuner, Marjanka K. Schmidt, Gunnar Schmidt, Christopher Scott, Priyanka Sharma, Penny Soucy, Melissa C. Southey, John J. Spinelli, Zoe Steinsnyder, Jennifer Stone, Dominique Stoppa-Lyonnet, Anthony Swerdlow, Rulla M. Tamimi, William J. Tapper, Jack A. Taylor, Mary Beth Terry, Alex Teulé, Darcy L. Thull, Marc Tischkowitz, Amanda E. Toland, Diana Torres, Alison H. Trainer, Thérèse Truong, Nadine Tung, Celine M. Vachon, Ana Vega, Joseph Vijai, Qin Wang, Barbara Wappenschmidt, Clarice R. Weinberg, Jeffrey N. Weitzel, Camilla Wendt, Alicja Wolk, Siddhartha Yadav, Xiaohong R. Yang, Drakoulis Yannoukakos, Wei Zheng, Argyrios Ziogas, Kristin K. Zorn, Sue K. Park, Mads Thomassen, Kenneth Offit, Rita K. Schmutzler, Fergus J. Couch, Jacques Simard, Georgia Chenevix-Trench, Douglas F. Easton, Nadine Andrieu, and Antonis C. Antoniou
Subjects: Science
Abstract: A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-23162-4
Published: 2021
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58. Transcriptomic Differences Between Monozygotic Adolescent Twins Discordant For Metabolic Syndrome Following Weight Loss: A Case Study

Author: Kaitlin Day, Alan J. McCubbin, Chiara Murgia, Melissa C. Southey, Justin Brown, and Helen Truby
Subjects: Male, Metabolic Syndrome, Inflammation, Adolescent, Obstetrics and Gynecology, Twins, Monozygotic, Weight Loss, Pediatrics, Perinatology and Child Health, Leukocytes, Mononuclear, Diseases in Twins, Humans, Child, Transcriptome, Genetics (clinical)
Abstract: This case reports peripheral blood mononuclear cell (PBMC) transcriptomic changes in a pair of male monozygotic pediatric twins with metabolic syndrome (MetS) undertaking assisted weight loss. These 14-year-old boys presented with similar baseline biochemistry and body composition. After a 16-week weight-loss intervention, percent body weight loss was similar (Twin A 12%, and Twin B 13%). MetS resolved in Twin A but Twin B maintained elevated triglycerides after weight loss. Analysis of the PBMC transcriptome before and after weight loss revealed very different changes in gene expression including differences in the direction of expression of genes related to immune cell activation. 48.7% of genes that were downregulated in Twin A were upregulated in Twin B. This case highlights a novel approach to report the influence of chronic low-grade inflammation and metabolic dysfunction on the PBMC transcriptome. It explores whether expression of genes related to immune functions may underlie the differences in response to weight loss or whether transcriptomic alterations in immune cells may precede more traditional biomarkers of chronic pro-inflammation. These monozygotic twins present an example of divergence of phenotypic outcomes despite identical genetic background and similar treatment response.
Published: 2022
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59. Association of FOXO3 Blood DNA Methylation with Cancer Risk, Cancer Survival, and Mortality

Author: Chenglong Yu, Allison M. Hodge, Ee Ming Wong, Jihoon Eric Joo, Enes Makalic, Daniel Schmidt, Daniel D. Buchanan, John L. Hopper, Graham G. Giles, Melissa C. Southey, and Pierre-Antoine Dugué
Subjects: FOXO3, epigenetics, age-related outcome, longevity-related SNP, matched case–control study, Cytology, QH573-671
Abstract: Genetic variants in FOXO3 are associated with longevity. Here, we assessed whether blood DNA methylation at FOXO3 was associated with cancer risk, survival, and mortality. We used data from eight prospective case–control studies of breast (n = 409 cases), colorectal (n = 835), gastric (n = 170), kidney (n = 143), lung (n = 332), prostate (n = 869), and urothelial (n = 428) cancer and B-cell lymphoma (n = 438). Case–control pairs were matched on age, sex, country of birth, and smoking (lung cancer study). Conditional logistic regression was used to assess associations between cancer risk and methylation at 45 CpGs of FOXO3 included on the HumanMethylation450 assay. Mixed-effects Cox models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations with cancer survival (total n = 2286 deaths). Additionally, using data from 1088 older participants, we assessed associations of FOXO3 methylation with overall and cause-specific mortality (n = 354 deaths). Methylation at a CpG in the first exon region of FOXO3 (6:108882981) was associated with gastric cancer survival (HR = 2.39, 95% CI: 1.60–3.56, p = 1.9 × 10−5). Methylation at three CpGs in TSS1500 and gene body was associated with lung cancer survival (p < 6.1 × 10−5). We found no evidence of associations of FOXO3 methylation with cancer risk and mortality. Our findings may contribute to understanding the implication of FOXO3 in longevity.
Published: 2021
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60. Mammographic density and risk of breast cancer by tumor characteristics: a case-control study

Author: Kavitha Krishnan, Laura Baglietto, Jennifer Stone, Catriona McLean, Melissa C. Southey, Dallas R. English, Graham G. Giles, and John L. Hopper
Subjects: Mammographic density, Breast cancer, Detection mode, Tumor characteristics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background In a previous paper, we had assumed that the risk of screen-detected breast cancer mostly reflects inherent risk, and the risk of whether a breast cancer is interval versus screen-detected mostly reflects risk of masking. We found that inherent risk was predicted by body mass index (BMI) and dense area (DA) or percent dense area (PDA), but not by non-dense area (NDA). Masking, however, was best predicted by PDA but not BMI. In this study, we aimed to investigate if these associations vary by tumor characteristics and mode of detection. Methods We conducted a case-control study nested within the Melbourne Collaborative Cohort Study of 244 screen-detected cases matched to 700 controls and 148 interval cases matched to 446 controls. DA, NDA and PDA were measured using the Cumulus software. Tumor characteristics included size, grade, lymph node involvement, and ER, PR, and HER2 status. Conditional and unconditional logistic regression were applied as appropriate to estimate the Odds per Adjusted Standard Deviation (OPERA) adjusted for age and BMI, allowing the association with BMI to be a function of age at diagnosis. Results For screen-detected cancer, both DA and PDA were associated to an increased risk of tumors of large size (OPERA ~ 1.6) and positive lymph node involvement (OPERA ~ 1.8); no association was observed for BMI and NDA. For risk of interval versus screen-detected breast cancer, the association with risk for any of the three mammographic measures did not vary by tumor characteristics; an association was observed for BMI for positive lymph nodes (OPERA ~ 0.6). No associations were observed for tumor grade and ER, PR and HER2 status of tumor. Conclusions Both DA and PDA were predictors of inherent risk of larger breast tumors and positive nodal status, whereas for each of the three mammographic density measures the association with risk of masking did not vary by tumor characteristics. This might raise the hypothesis that the risk of breast tumours with poorer prognosis, such as larger and node positive tumours, is intrinsically associated with increased mammographic density and not through delay of diagnosis due to masking.
Published: 2017
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61. Causes of blood methylomic variation for middle-aged women measured by the HumanMethylation450 array

Author: Shuai Li, Ee Ming Wong, Tuong L. Nguyen, Ji-Hoon Eric Joo, Jennifer Stone, Gillian S. Dite, Graham G. Giles, Richard Saffery, Melissa C. Southey, and John L. Hopper
Subjects: dna methylation, humanmethylation450 array, familial aggregation, twin study, heritability, Genetics, QH426-470
Abstract: To address the limitations in current classic twin/family research on the genetic and/or environmental causes of human methylomic variation, we measured blood DNA methylation for 479 women (mean age 56 years) including 66 monozygotic (MZ), 66 dizygotic (DZ) twin pairs and 215 sisters of twins, and 11 random technical duplicates using the HumanMethylation450 array. For each methylation site, we estimated the correlation for pairs of duplicates, MZ twins, DZ twins, and siblings, fitted variance component models by assuming the variation is explained by genetic factors, by shared and individual environmental factors, and by independent measurement error, and assessed the best fitting model. We found that the average (standard deviation) correlations for duplicate, MZ, DZ, and sibling pairs were 0.10 (0.35), 0.07 (0.21), -0.01 (0.14) and -0.04 (0.07). At the genome-wide significance level of 10−7, 93.3% of sites had no familial correlation, and 5.6%, 0.1%, and 0.2% of sites were correlated for MZ, DZ, and sibling pairs. For 86.4%, 6.9%, and 7.1% of sites, the best fitting model included measurement error only, a genetic component, and at least one environmental component. For the 13.6% of sites influenced by genetic and/or environmental factors, the average proportion of variance explained by environmental factors was greater than that explained by genetic factors (0.41 vs. 0.37, P value
Published: 2017
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62. Reproductive profiles and risk of breast cancer subtypes: a multi-center case-only study

Author: Olivier Brouckaert, Anja Rudolph, Annouschka Laenen, Renske Keeman, Manjeet K. Bolla, Qin Wang, Adelheid Soubry, Hans Wildiers, Irene L. Andrulis, Volker Arndt, Matthias W. Beckmann, Javier Benitez, Carl Blomqvist, Stig E. Bojesen, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Georgia Chenevix-Trench, Ji-Yeob Choi, Sten Cornelissen, Fergus J. Couch, Angela Cox, Simon S. Cross, Kamila Czene, Mikael Eriksson, Peter A. Fasching, Jonine Figueroa, Henrik Flyger, Graham G. Giles, Anna González-Neira, Pascal Guénel, Per Hall, Antoinette Hollestelle, John L. Hopper, Hidemi Ito, Michael Jones, Daehee Kang, kConFab, Julia A. Knight, Veli-Matti Kosma, Jingmei Li, Annika Lindblom, Jenna Lilyquist, Artitaya Lophatananon, Arto Mannermaa, Siranoush Manoukian, Sara Margolin, Keitaro Matsuo, Kenneth Muir, Heli Nevanlinna, Paolo Peterlongo, Katri Pylkäs, Suleeporn Saajrang, Caroline Seynaeve, Chen-Yang Shen, Xiao-Ou Shu, Melissa C. Southey, Anthony Swerdlow, Soo-Hwang Teo, Rob A. E. M. Tollenaar, Thérèse Truong, Chiu-chen Tseng, Alexandra J. van den Broek, Carolien H. M. van Deurzen, Robert Winqvist, Anna H. Wu, Cheng Har Yip, Jyh-Cherng Yu, Wei Zheng, Roger L. Milne, Paul D. P. Pharoah, Douglas F. Easton, Marjanka K. Schmidt, Montserrat Garcia-Closas, Jenny Chang-Claude, Diether Lambrechts, and Patrick Neven
Subjects: Breast cancer subtype, Age at breast cancer diagnosis, Parity, Age at first full-time pregnancy, Age at menarche, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: 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 investigate associations between reproductive factors and BC subtypes, and whether these vary by age at diagnosis. Methods We used pooled data on tumor markers (estrogen and progesterone receptor, human epidermal growth factor receptor-2 (HER2)) and reproductive risk factors (parity, age at first full-time pregnancy (FFTP) and age at menarche) from 28,095 patients with invasive BC from 34 studies participating in the Breast Cancer Association Consortium (BCAC). In a case-only analysis, we used logistic regression to assess associations between reproductive factors and BC subtype compared to luminal A tumors as a reference. The interaction between age and parity in BC subtype risk was also tested, across all ages and, because age was modeled non-linearly, specifically at ages 35, 55 and 75 years. Results Parous women were more likely to be diagnosed with triple negative BC (TNBC) than with luminal A BC, irrespective of age (OR for parity = 1.38, 95% CI 1.16–1.65, p = 0.0004; p for interaction with age = 0.076). Parous women were also more likely to be diagnosed with luminal and non-luminal HER2-like BCs and this effect was slightly more pronounced at an early age (p for interaction with age = 0.037 and 0.030, respectively). For instance, women diagnosed at age 35 were 1.48 (CI 1.01–2.16) more likely to have luminal HER2-like BC than luminal A BC, while this association was not significant at age 75 (OR = 0.72, CI 0.45–1.14). While age at menarche was not significantly associated with BC subtype, increasing age at FFTP was non-linearly associated with TNBC relative to luminal A BC. An age at FFTP of 25 versus 20 years lowered the risk for TNBC (OR = 0.78, CI 0.70–0.88, p
Published: 2017
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63. Twin birth changes DNA methylation of subsequent siblings

Author: Shuai Li, Eunae Kim, Ee Ming Wong, Ji-Hoon Eric Joo, Tuong L. Nguyen, Jennifer Stone, Yun-Mi Song, Louisa B. Flander, Richard Saffery, Graham G. Giles, Melissa C. Southey, Joohon Sung, and John L. Hopper
Subjects: Medicine, Science
Abstract: Abstract We asked if twin birth influences the DNA methylation of subsequent siblings. We measured whole blood methylation using the HumanMethylation450 array for siblings from two twin and family studies in Australia and Korea. We compared the means and correlations in methylation between pairs of siblings born before a twin birth (BT siblings), born on either side of a twin birth (B/AT pairs) and born after a twin birth (AT siblings). For the genome-wide average DNA methylation, the correlation for AT pairs (rAT) was larger than the correlation for BT pairs (rBT) in both studies, and from the meta-analysis, rAT = 0.46 (95% CI: 0.26, 0.63) and rBT = −0.003 (95% CI: −0.30, 0.29) (P = 0.02). B/AT pairs were not correlated (from the meta-analysis rBAT = 0.08; 95% CI: −0.31, 0.45). Similar results were found for the average methylation of several genomic regions, e.g., CpG shelf and gene body. BT and AT pairs were differentially correlated in methylation for 15 probes (all P
Published: 2017
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64. Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

Author: Philip J. Law, Sonja I. Berndt, Helen E. Speedy, Nicola J. Camp, Georgina P. Sava, Christine F. Skibola, Amy Holroyd, Vijai Joseph, Nicola J. Sunter, Alexandra Nieters, Silvia Bea, Alain Monnereau, David Martin-Garcia, Lynn R. Goldin, Guillem Clot, Lauren R. Teras, Inés Quintela, Brenda M. Birmann, Sandrine Jayne, Wendy Cozen, Aneela Majid, Karin E. Smedby, Qing Lan, Claire Dearden, Angela R. Brooks-Wilson, Andrew G. Hall, Mark P. Purdue, Tryfonia Mainou-Fowler, Claire M. Vajdic, Graham H. Jackson, Pierluigi Cocco, Helen Marr, Yawei Zhang, Tongzhang Zheng, Graham G. Giles, Charles Lawrence, Timothy G. Call, Mark Liebow, Mads Melbye, Bengt Glimelius, Larry Mansouri, Martha Glenn, Karen Curtin, W Ryan Diver, Brian K. Link, Lucia Conde, Paige M. Bracci, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Paolo Boffetta, Paul Brennan, Marc Maynadie, James McKay, Demetrius Albanes, Stephanie Weinstein, Zhaoming Wang, Neil E. Caporaso, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Roel C. H. Vermeulen, Melissa C. Southey, Roger L. Milne, Jacqueline Clavel, Sabine Topka, John J. Spinelli, Peter Kraft, Maria Grazia Ennas, Geoffrey Summerfield, Giovanni M. Ferri, Robert J. Harris, Lucia Miligi, Andrew R. Pettitt, Kari E. North, David J. Allsup, Joseph F. Fraumeni, James R. Bailey, Kenneth Offit, Guy Pratt, Henrik Hjalgrim, Chris Pepper, Stephen J. Chanock, Chris Fegan, Richard Rosenquist, Silvia de Sanjose, Angel Carracedo, Martin J. S. Dyer, Daniel Catovsky, Elias Campo, James R. Cerhan, James M. Allan, Nathanial Rothman, Richard Houlston, and Susan Slager
Subjects: Science
Abstract: Chronic lymphocytic leukaemia has a hereditary component, much of which remains to be identified. Here, the authors perform a genome-wide association study and find new risk loci for the disease, which are associated with genes involved in immune function.
Published: 2017
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65. Methylation scores for smoking, alcohol consumption and body mass index and risk of seven types of cancer

Author: Pierre‐Antoine Dugué, Chenglong Yu, Allison M. Hodge, Ee Ming Wong, JiHoon E. Joo, Chol‐Hee Jung, Daniel Schmidt, Enes Makalic, Daniel D. Buchanan, Gianluca Severi, Dallas R. English, John L. Hopper, Roger L. Milne, Graham G. Giles, and Melissa C. Southey
Subjects: Cancer Research, Oncology
Published: 2023
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66. Supplementary Tables 1-3 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Supplementary Table 1. Sample Size of each participated study, by case-control status and genotype platform. Supplementary Table 2. Association between fourteen environmental factors and the risk of breast cancer. Supplementary Table 3. Interactions between genes and fourteen environmental factors.
Published: 2023
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67. Data from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Genome-wide association studies (GWAS) have identified more than 200 susceptibility loci for breast cancer, but these variants explain less than a fifth of the disease risk. Although gene–environment interactions have been proposed to account for some of the remaining heritability, few studies have empirically assessed this.We obtained genotype and risk factor data from 46,060 cases and 47,929 controls of European ancestry from population-based studies within the Breast Cancer Association Consortium (BCAC). We built gene expression prediction models for 4,864 genes with a significant (P < 0.01) heritable component using the transcriptome and genotype data from the Genotype-Tissue Expression (GTEx) project. We leveraged predicted gene expression information to investigate the interactions between gene-centric genetic variation and 14 established risk factors in association with breast cancer risk, using a mixed-effects score test.After adjusting for number of tests using Bonferroni correction, no interaction remained statistically significant. The strongest interaction observed was between the predicted expression of the C13orf45 gene and age at first full-term pregnancy (PGXE = 4.44 × 10−6).In this transcriptome-informed genome-wide gene–environment interaction study of breast cancer, we found no strong support for the role of gene expression in modifying the associations between established risk factors and breast cancer risk.Our study suggests a limited role of gene–environment interactions in breast cancer risk.
Published: 2023
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68. Supplementary Information from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Funding and acknowledgements.
Published: 2023
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69. Supplementary Figure 1 from A Genome-Wide Gene-Based Gene–Environment Interaction Study of Breast Cancer in More than 90,000 Women

Author: Sara Lindström, Jenny Chang-Claude, Peter Kraft, Li Hsu, Roger L. Milne, Douglas F. Easton, Håkan Olsson, Sophia Wang, James V. Lacey, Nick Orr, Anthony J. Swerdlow, Jack A. Taylor, Dale P. Sandler, Alicja Wolk, Kamila Czene, Per Hall, Anthony Howell, D. Gareth Evans, Rose Yang, Thomas Ahearn, Jonine Figueroa, Montserrat García-Closas, Heather Eliassen, Rulla Tamimi, Cheng Peng, Michael I. Love, Melissa A. Troester, Jirong Long, Wei Zheng, Mark S. Goldberg, Jacques Simard, Stacey Winham, Christopher Scott, Gertraud Maskarinec, Christopher A. Haiman, Graham G. Giles, Heiko Becher, Audrey Jung, Veli-Matti Kosma, Arto Mannermaa, Sabine Behrens, Wing-Yee Lo, Reiner Hoppe, Volker Arndt, Hermann Brenner, Rudolf Kaaks, Federico Canzian, James M. Hodge, Lauren R. Teras, Thérèse Truong, Pascal Guénel, Kristan Aronson, Rachel A. Murphy, Rana Shibli, Gad Rennert, Jennifer Stone, Laura E. Beane Freeman, Stella Koutros, Melissa C. Southey, John L. Hopper, Paul D.P. Pharoah, Kyriaki Michailidou, Qin Wang, Michael Lush, Alison M. Dunning, Joe Dennis, Manjeet K. Bolla, Yu-Ru Su, Pooja Middha Kapoor, Hongjie Chen, and Xiaoliang Wang
Abstract: Quantile-Quantile plot (Q-Q plot) of the aMiSTi p-values for each set of the GxE interactions.
Published: 2023
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70. Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)

Author: John L. Hopper, Mary Beth Terry, Graham G. Giles, Melissa C. Southey, Pierre-Antoine Dugué, Roger L. Milne, Ingrid M. Winship, Heather Thorne, Kelly-Anne Phillips, Wendy K. Chung, Jeanine M. Genkinger, Allison W. Kurian, Esther M. John, Mary B. Daly, Saundra S. Buys, Irene L. Andrulis, Robert J. MacInnis, Tuong L. Nguyen, Gillian S. Dite, Shuai Li, and Zhoufeng Ye
Abstract: We considered whether weight is more informative than body mass index (BMI) = weight/height2 when predicting breast cancer risk for postmenopausal women, and if the weight association differs by underlying familial risk. We studied 6,761 women postmenopausal at baseline with a wide range of familial risk from 2,364 families in the Prospective Family Study Cohort. Participants were followed for on average 11.45 years and there were 416 incident breast cancers. We used Cox regression to estimate risk associations with log-transformed weight and BMI after adjusting for underlying familial risk. We compared model fits using the Akaike information criterion (AIC) and nested models using the likelihood ratio test. The AIC for the weight-only model was 6.22 units lower than for the BMI-only model, and the log risk gradient was 23% greater. Adding BMI or height to weight did not improve fit (ΔAIC = 0.90 and 0.83, respectively; both P = 0.3). Conversely, adding weight to BMI or height gave better fits (ΔAIC = 5.32 and 11.64; P = 0.007 and 0.0002, respectively). Adding height improved only the BMI model (ΔAIC = 5.47; P = 0.006). There was no evidence that the BMI or weight associations differed by underlying familial risk (P > 0.2). Weight is more informative than BMI for predicting breast cancer risk, consistent with nonadipose as well as adipose tissue being etiologically relevant. The independent but multiplicative associations of weight and familial risk suggest that, in terms of absolute breast cancer risk, the association with weight is more important the greater a woman's underlying familial risk.Prevention Relevance:Our results suggest that the relationship between BMI and breast cancer could be due to a relationship between weight and breast cancer, downgraded by inappropriately adjusting for height; potential importance of anthropometric measures other than total body fat; breast cancer risk associations with BMI and weight are across a continuum.
Published: 2023
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71. Supplementary Tables from DNA Methylation in Peripheral Blood and Risk of Gastric Cancer: A Prospective Nested Case–control Study

Author: Allison M. Hodge, Dallas R. English, Hazel Mitchell, Graham G. Giles, Melissa C. Southey, Alex Boussioutas, Geoffrey W. Stuart, Maree T. Brinkman, Ee Ming Wong, Jihoon E. Joo, Roger L. Milne, Julie K. Bassett, Pierre-Antoine Dugué, and James A Chamberlain
Abstract: Table S1, Table S2
Published: 2023
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72. Supplementary Grant Support from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Grant Support
Published: 2023
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73. Supplementary Table 3 from Rare Mutations in RINT1 Predispose Carriers to Breast and Lynch Syndrome–Spectrum Cancers

Author: David E. Goldgar, Melissa C. Southey, Sean V. Tavtigian, Fabienne Lesueur, Bing-Jian Feng, John L. Hopper, Graham G. Giles, Peter Devilee, Henry T. Lynch, Carrie Snyder, Saundra S. Buys, Mary Daly, Mary B. Terry, Irene L. Andrulis, Esther M. John, Igor V. Makunin, Jun Li, Jonathan Ellis, Chad D. Huff, Hao Hu, Russell Bell, Terrell C. Roane, Bernard J. Pope, Andrew Lonie, Catherine Voegele, Erin L. Young, Louise B. Thingholm, Zhi L. Teo, Helen Tsimiklis, Fabrice Odefrey, Fleur Hammet, Nivonirina Robinot, Tu Nguyen-Dumont, Florence Le Calvez-Kelm, Kayoko Tao, and Daniel J. Park
Abstract: PDF file 65K, Primers used in assessment of RINT1 transcripts
Published: 2023
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74. Data from Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer

Author: Alexander Dobrovic, John L. Hopper, Graham G. Giles, Mark A. Jenkins, James G. Dowty, Melissa A. Brown, Stephen B. Fox, Melissa C. Southey, and Ee Ming Wong
Abstract: Women carrying germline mutations in BRCA1 are at a substantially elevated risk of breast cancer and their tumors typically have distinctive morphologic features. We hypothesized that constitutional methylation of the BRCA1 promoter region could give rise to such breast cancers in women. We selected 255 women diagnosed with breast cancer before the age of 40 years for whom BRCA1 germline mutations had not been identified. Of them, 52 had five or more of nine BRCA1 mutation-associated morphologic features (group 1), 39 had four (group 2), and 164 had three or less (group 3). The prevalence of detectable BRCA1 promoter methylation in peripheral blood DNA decreased from 31% to 10% to 5% across groups 1–3, respectively (P = 0.000002), and was significantly greater than the 4% frequency in unaffected controls (P = 0.004). Peripheral blood methylation was associated with a 3.5-fold (95% CI, 1.4–10.5) increased risk of having early onset breast cancer. Methylation was consistently mosaic in the peripheral blood where the estimated allelic frequency of BRCA1 promoter methylation ranged from 0.1% to 17%. Group 1 women, but not group 3 women, with detectable methylation of peripheral blood DNA had high levels of BRCA1 promoter methylation of their tumor DNA, indicating that constitutional BRCA1 methylation strongly predisposes toward the development of BRCA1 methylated tumors that then have features resembling BRCA1 mutated tumors. Screening peripheral blood for BRCA1 promoter methylation might thus predict early-onset breast cancers. This raises the possibility of chemoprevention or other intervention to diminish the risk of developing breast cancer in these women. Cancer Prev Res; 4(1); 23–33. ©2010 AACR. Cancer Prev Res; 4(1); 23–33. ©2010 AACR.
Published: 2023
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75. Supplementary Methods, Figures S1 - S3 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Figure S1. LocusZoom regional association plots for the seven new cross-cancer loci that were > 1 Mb from known index SNPs. Supplementary Figure S2A-B. Box plots showing eQTL associations between (A) rs9375701 and L3MBTL3 in normal breast and prostate tissues and (B) rs8037137 and RCCD1 in normal breast and ovarian tissues. Supplementary Figure S3. Interactions between BCL2L11 and the 32 Biocarta "Death Pathway" genes. Interactions were identified using the GeneMania server. Circles contain gene names, lines represent interactions, and the color of the line indicates a specific type of interaction as listed in the legend.
Published: 2023
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76. Supplementary Tables S1 - S10 from Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

Author: Diether Lambrechts, Paul D.P. Pharoah, Rosalind Eeles, Georgia Chenevix-Trench, Douglas F. Easton, Simon A. Gayther, Per Hall, Fergus J. Couch, Stephen J. Chanock, Peter Kraft, Brian E. Henderson, David J. Hunter, Thomas A. Sellers, Amanda Spurdle, Christopher A. Haiman, Jacques Simard, Alison M. Dunning, Andrew Berchuck, Matthew L. Freedman, Fredrick Schumacher, Yu-Tang Gao, Xiao-Ou Shu, Wojciech Kluzniak, William J. Blot, Weiva Sieh, Wei Zheng, Walther Vogel, Volker Arndt, Vessela Kristensen, Veronica Wendy Setiawan, Veli-Matti Kosma, Vanio Mitev, Ute Hamann, Usha Menon, Todd L. Edwards, Tim J. Key, Tiina Wahlfors, Thomas Brüning, Thilo Dörk, Teuvo L.J. Tammela, Tanja Pejovic, Susanne Krüger Kjær, Susan M. Gapstur, Stig E. Bojesen, Stephen N. Thibodeau, Soo-Hwang Teo, Soo Chin Lee, Sonja Berndt, Sofia Maia, Shelley S. Tworoger, Shannon K. McDonnell, Sara H. Olson, Sara Benlloch, Ruth C. Travis, Roger L. Milne, Roberta Ness, Robert Winqvist, Robert N. Hoover, Robert J. MacInnis, Robert A. Stephenson, Rita K. Schmutzler, Reidun Kristin Kopperud, Ralf Butzow, Radka Kaneva, Qiyuan Li, Qiuyin Cai, Qin Wang, Peter Devilee, Peter A. Fasching, Per Broberg, Penelope M. Webb, Paula Paulo, Paul Brennan, Pascal Guénel, Paolo Peterlongo, Nora Pashayan, Nicolas Wentzensen, Nick Orr, Nhu D. Le, Nazneen Rahman, Natalia Bogdanova, Montserrat Garcia-Closas, Minouk J. Schoemaker, Ming-Feng Hou, Michelle A.T. Hildebrandt, Michael Lush, Michael Jones, Melissa C. Southey, Maureen Sanderson, Matthieu Moisse, Matthias W. Beckmann, Mary Anne Rossing, Markus Aly, Marjorie Riggan, Marjanka K. Schmidt, Marc T. Goodman, Manuel R. Teixeira, Manuel Luedeke, Manjeet K. Bolla, Malcolm C. Pike, Maartje J. Hooning, Lisa Cannon-Albright, Linda S. Cook, Liesel M. Fitzgerald, Leon F.A.G. Massuger, Lambertus A. Kiemeney, Kunle Odunsi, Kristiina Aittomäki, Kirsten B. Moysich, Kexin Chen, Kenneth Offitt, Kenneth Muir, Keitaro Matsuo, Kay-Tee Khaw, Kathleen Herkommer, Karen H. Lu, Kamila Czene, Jyotsna Batra, Julio Pow-Sang, Julie M. Cunningham, Julian Peto, Julia A. Knight, Judith A. Clements, Jonine Figueroa, Jong Y. Park, Jolanta Kupryjanczyk, John L. Hopper, Johanna Schleutker, Joellen M. Schildkraut, Joe Dennis, Jenny L. Donovan, Jenny Chang-Claude, Jennifer B. Permuth, Jennifer A. Doherty, Javier Benítez, Janet L. Stanford, Jan Lubiński, Jacek Gronwald, Ignace Vergote, Ian Campbell, Iain McNeish, Hui-Yi Lim, Honglin Song, Hoda Anton-Culver, Hiltrud Brauch, Hermann Brenner, Henrik Gronberg, Heli Nevanlinna, Helga B. Salvesen, Hatef Darabi, Harvey A. Risch, Hardev Pandha, Hans-Ulrich Ulmer, Hans Wildiers, Håkan Olsson, Graham G. Giles, Fredrik Wiklund, Freddie C. Hamdy, Francesmary Modugno, Florian Heitz, Fiona Bruinsma, Fengju Song, Estrid Høgdall, Elza Khusnutdinova, Ellen L. Goode, Elizabeth M. Poole, Elisa V. Bandera, Elinor J. Sawyer, Drakoulis Yannoukakos, Douglas A. Levine, Dominika Wokozorczyk, Digna R. Velez Edwards, Dieter Flesch-Janys, Diana Eccles, David E. Neal, Daniel W. Cramer, Daniel O. Stram, Daniel J. Schaid, Daniel C. Tessier, Daehee Kang, Craig C. Teerlink, Claus K. Høgdall, Christine B. Ambrosone, Christiane Maier, Christa Stegmaier, Chavdar Slavov, Cezary Cybulski, Celine Vachon, Celeste Leigh Pearce, Catriona McLean, Catherine Phelan, Carl Blomqvist, Børge G. Nordestgaard, Beth Y. Karlan, Barbara Burwinkel, Arif B. Ekici, Argyrios Ziogas, Anthony Swerdlow, Annika Lindblom, Anna H. Wu, Anna Gonzalez-Neira, Anja Rudolph, Angela Cox, Andrzej Kierzek, Ana Peixoto, Alvaro Monteiro, Alicja Wolk, Alice S. Whittemore, Aleksandra Gentry-Maharaj, Aida K. Dieffenbach, Agnieszka Michael, Agnieszka Dansonka-Mieszkowska, Adam S. Kibel, Deborah J. Thompson, Susan J. Ramus, Sara Lindstrom, Kate Lawrenson, ZSofia Kote-Jarai, Jonathan Tyrer, Kyriaki Michailidou, Ali Amin Al Olama, Jonathan Beesley, and Siddhartha P. Kar
Abstract: Supplementary Table S1. Known risk loci for each cancer. Supplementary Table S2. Regions where known index SNPs for at least two of the three cancers lie within 1 Mb of each other. Supplementary Table S3. Full results from the meta-analysis of breast, ovarian, and prostate cancer showing the 18 independent loci associated at P < 10-8 with the same direction of effect across all three cancers. Supplementary Table S4. Conditional analysis of the rs1469713 (breast-ovarian-prostate cancer) signal, conditioning on the rs4808801 (breast cancer-specific) signal that was < 1 Mb away using GCTA software. Supplementary Table S5. Most significantly-associated genotyped SNP at new loci where index SNPs were imputed. Supplementary Table S6. Expression QTL analysis results from the GTEx Portal for the new cross-cancer risk loci listed in main Table 2. Supplementary Table S7. SNPs with P < 10-8 at the new cross-cancer risk loci listed in main Table 2 that overlap predicted enhancers in at least two cell types. Supplementary Table S8. HaploReg and non-coding RNA annotation of variants with P < 10-8 at the new cross-cancer risk loci listed in main Table 2. Supplementary Table S9. Eight of the 32 genes involved in induction of apoptosis through DR3 and DR4/5 Death Receptors (MSigDB: Biocarta "Death Pathway") a that were < 1 Mb away from an independent P < 10-5 index SNP in the 3-cancer meta-analysis. Supplementary Table S10. INRICH pathway analysis results for pathways with empirical P < 0.05. Apoptosis-related pathways containing BCL2L11 are shaded.
Published: 2023
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77. Supplementary Table S2 from Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer

Author: Alexander Dobrovic, John L. Hopper, Graham G. Giles, Mark A. Jenkins, James G. Dowty, Melissa A. Brown, Stephen B. Fox, Melissa C. Southey, and Ee Ming Wong
Abstract: Supplementary Table S2 from Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer
Published: 2023
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78. Supplementary Figure 1 from Rare Mutations in RINT1 Predispose Carriers to Breast and Lynch Syndrome–Spectrum Cancers

Author: David E. Goldgar, Melissa C. Southey, Sean V. Tavtigian, Fabienne Lesueur, Bing-Jian Feng, John L. Hopper, Graham G. Giles, Peter Devilee, Henry T. Lynch, Carrie Snyder, Saundra S. Buys, Mary Daly, Mary B. Terry, Irene L. Andrulis, Esther M. John, Igor V. Makunin, Jun Li, Jonathan Ellis, Chad D. Huff, Hao Hu, Russell Bell, Terrell C. Roane, Bernard J. Pope, Andrew Lonie, Catherine Voegele, Erin L. Young, Louise B. Thingholm, Zhi L. Teo, Helen Tsimiklis, Fabrice Odefrey, Fleur Hammet, Nivonirina Robinot, Tu Nguyen-Dumont, Florence Le Calvez-Kelm, Kayoko Tao, and Daniel J. Park
Abstract: PDF file 199K, RINT1 c.1334-5delA, c.1334-1_1335delGTT minigene assay
Published: 2023
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79. Data from DNA Methylation in Peripheral Blood and Risk of Gastric Cancer: A Prospective Nested Case–control Study

Author: Allison M. Hodge, Dallas R. English, Hazel Mitchell, Graham G. Giles, Melissa C. Southey, Alex Boussioutas, Geoffrey W. Stuart, Maree T. Brinkman, Ee Ming Wong, Jihoon E. Joo, Roger L. Milne, Julie K. Bassett, Pierre-Antoine Dugué, and James A Chamberlain
Abstract: DNA methylation in peripheral blood is a potential biomarker of gastric cancer risk which could be used for early detection. We conducted a prospective case–control study nested within the Melbourne Collaborative Cohort Study. Genomic DNA was prepared from blood samples collected a median of 12 years before diagnosis for cases (N = 168). Controls (N = 163) were matched to cases on sex, year of birth, country of birth, and blood sample type using incidence density sampling. Genome-wide DNA methylation was measured using the Infinium HumanMethylation450K Beadchip. Global measures of DNA methylation were defined as the median methylation M value, calculated for each of 13 CpG subsets representing genomic function, mean methylation and location, and reliability of measurement. Conditional logistic regression was conducted to assess associations between these global measures of methylation and gastric cancer risk, adjusting for Helicobacter pylori and other potential confounders. We tested nonlinear associations using quintiles of the global measure distribution. A genome-wide association study of DNA methylation and gastric cancer risk was also conducted (N = 484,989 CpGs) using conditional logistic regression, adjusting for potential confounders. Differentially methylated regions (DMR) were investigated using the R package DMRcate. We found no evidence of associations with gastric cancer risk for individual CpGs or DMRs (P > 7.6 × 10−6). No evidence of association was observed with global measures of methylation (OR 1.07 per SD of overall median methylation; 95% confidence interval, 0.80–1.44; P = 0.65). We found no evidence that blood DNA methylation is prospectively associated with gastric cancer risk.Prevention Relevance: We studied DNA methylation in blood to try and predict who was at risk of gastric cancer before symptoms developed, by which stage survival is poor. We did not find any such markers, but the importance of early diagnosis in gastric cancer remains, and the search for markers continues.
Published: 2023
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80. Perspective on This Article from Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer

Author: Alexander Dobrovic, John L. Hopper, Graham G. Giles, Mark A. Jenkins, James G. Dowty, Melissa A. Brown, Stephen B. Fox, Melissa C. Southey, and Ee Ming Wong
Abstract: Perspective on This Article from Constitutional Methylation of the BRCA1 Promoter Is Specifically Associated with BRCA1 Mutation-Associated Pathology in Early-Onset Breast Cancer
Published: 2023
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81. Supplementary Table 1 from Rare Mutations in RINT1 Predispose Carriers to Breast and Lynch Syndrome–Spectrum Cancers

Author: David E. Goldgar, Melissa C. Southey, Sean V. Tavtigian, Fabienne Lesueur, Bing-Jian Feng, John L. Hopper, Graham G. Giles, Peter Devilee, Henry T. Lynch, Carrie Snyder, Saundra S. Buys, Mary Daly, Mary B. Terry, Irene L. Andrulis, Esther M. John, Igor V. Makunin, Jun Li, Jonathan Ellis, Chad D. Huff, Hao Hu, Russell Bell, Terrell C. Roane, Bernard J. Pope, Andrew Lonie, Catherine Voegele, Erin L. Young, Louise B. Thingholm, Zhi L. Teo, Helen Tsimiklis, Fabrice Odefrey, Fleur Hammet, Nivonirina Robinot, Tu Nguyen-Dumont, Florence Le Calvez-Kelm, Kayoko Tao, and Daniel J. Park
Abstract: PDF file 69K, Distribution of cases and controls included in the analysis, by study center and ethnic group
Published: 2023
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82. Supplementary Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)

Author: John L. Hopper, Mary Beth Terry, Graham G. Giles, Melissa C. Southey, Pierre-Antoine Dugué, Roger L. Milne, Ingrid M. Winship, Heather Thorne, Kelly-Anne Phillips, Wendy K. Chung, Jeanine M. Genkinger, Allison W. Kurian, Esther M. John, Mary B. Daly, Saundra S. Buys, Irene L. Andrulis, Robert J. MacInnis, Tuong L. Nguyen, Gillian S. Dite, Shuai Li, and Zhoufeng Ye
Abstract: Supplementary Data from Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)
Published: 2023
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83. RE: Heterozygous BRCA1 and BRCA2 and mismatch repair gene pathogenic variants in children and adolescents with cancer

Author: Shuai Li, Tu Nguyen-Dumont, Melissa C Southey, and John L Hopper
Subjects: Cancer Research, Oncology
Published: 2023
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84. Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast–ovarian cancer susceptibility locus

Author: Kate Lawrenson, Siddhartha Kar, Karen McCue, Karoline Kuchenbaeker, Kyriaki Michailidou, Jonathan Tyrer, Jonathan Beesley, Susan J. Ramus, Qiyuan Li, Melissa K. Delgado, Janet M. Lee, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton-Culver, Volker Arndt, Banu K. Arun, Brita Arver, Elisa V. Bandera, Monica Barile, Rosa B. Barkardottir, Daniel Barrowdale, Matthias W. Beckmann, Javier Benitez, Andrew Berchuck, Maria Bisogna, Line Bjorge, Carl Blomqvist, William Blot, Natalia Bogdanova, Anders Bojesen, Stig E. Bojesen, Manjeet K. Bolla, Bernardo Bonanni, Anne-Lise Børresen-Dale, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Fiona Bruinsma, Joan Brunet, Shaik Ahmad Buhari, Barbara Burwinkel, Ralf Butzow, Saundra S. Buys, Qiuyin Cai, Trinidad Caldes, Ian Campbell, Rikki Canniotto, Jenny Chang-Claude, Jocelyne Chiquette, Ji-Yeob Choi, Kathleen B. M. Claes, GEMO Study Collaborators, Linda S. Cook, Angela Cox, Daniel W. Cramer, Simon S. Cross, Cezary Cybulski, Kamila Czene, Mary B. Daly, Francesca Damiola, Agnieszka Dansonka-Mieszkowska, Hatef Darabi, Joe Dennis, Peter Devilee, Orland Diez, Jennifer A. Doherty, Susan M. Domchek, Cecilia M. Dorfling, Thilo Dörk, Martine Dumont, Hans Ehrencrona, Bent Ejlertsen, Steve Ellis, EMBRACE, Christoph Engel, Eunjung Lee, D. Gareth Evans, Peter A. Fasching, Lidia Feliubadalo, Jonine Figueroa, Dieter Flesch-Janys, Olivia Fletcher, Henrik Flyger, Lenka Foretova, Florentia Fostira, William D. Foulkes, Brooke L. Fridley, Eitan Friedman, Debra Frost, Gaetana Gambino, Patricia A. Ganz, Judy Garber, Montserrat García-Closas, Aleksandra Gentry-Maharaj, Maya Ghoussaini, Graham G. Giles, Rosalind Glasspool, Andrew K. Godwin, Mark S. Goldberg, David E. Goldgar, Anna González-Neira, Ellen L. Goode, Marc T. Goodman, Mark H. Greene, Jacek Gronwald, Pascal Guénel, Christopher A. Haiman, Per Hall, Emily Hallberg, Ute Hamann, Thomas V. O. Hansen, Patricia A. Harrington, Mikael Hartman, Norhashimah Hassan, Sue Healey, The Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Florian Heitz, Josef Herzog, Estrid Høgdall, Claus K. Høgdall, Frans B. L. Hogervorst, Antoinette Hollestelle, John L. Hopper, Peter J. Hulick, Tomasz Huzarski, Evgeny N. Imyanitov, KConFab Investigators, Australian Ovarian Cancer Study Group, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Allan Jensen, Esther M. John, Nichola Johnson, Maria Kabisch, Daehee Kang, Miroslav Kapuscinski, Beth Y. Karlan, Sofia Khan, Lambertus A. Kiemeney, Susanne Kruger Kjaer, Julia A. Knight, Irene Konstantopoulou, Veli-Matti Kosma, Vessela Kristensen, Jolanta Kupryjanczyk, Ava Kwong, Miguel de la Hoya, Yael Laitman, Diether Lambrechts, Nhu Le, Kim De Leeneer, Jenny Lester, Douglas A. Levine, Jingmei Li, Annika Lindblom, Jirong Long, Artitaya Lophatananon, Jennifer T. Loud, Karen Lu, Jan Lubinski, Arto Mannermaa, Siranoush Manoukian, Loic Le Marchand, Sara Margolin, Frederik Marme, Leon F. A. G. Massuger, Keitaro Matsuo, Sylvie Mazoyer, Lesley McGuffog, Catriona McLean, Iain McNeish, Alfons Meindl, Usha Menon, Arjen R. Mensenkamp, Roger L. Milne, Marco Montagna, Kirsten B. Moysich, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Roberta B. Ness, Susan L. Neuhausen, Heli Nevanlinna, Silje Nord, Robert L. Nussbaum, Kunle Odunsi, Kenneth Offit, Edith Olah, Olufunmilayo I. Olopade, Janet E. Olson, Curtis Olswold, David O’Malley, Irene Orlow, Nick Orr, Ana Osorio, Sue Kyung Park, Celeste L. Pearce, Tanja Pejovic, Paolo Peterlongo, Georg Pfeiler, Catherine M. Phelan, Elizabeth M. Poole, Katri Pylkäs, Paolo Radice, Johanna Rantala, Muhammad Usman Rashid, Gad Rennert, Valerie Rhenius, Kerstin Rhiem, Harvey A. Risch, Gus Rodriguez, Mary Anne Rossing, Anja Rudolph, Helga B. Salvesen, Suleeporn Sangrajrang, Elinor J. Sawyer, Joellen M. Schildkraut, Marjanka K. Schmidt, Rita K. Schmutzler, Thomas A. Sellers, Caroline Seynaeve, Mitul Shah, Chen-Yang Shen, Xiao-Ou Shu, Weiva Sieh, Christian F. Singer, Olga M. Sinilnikova, Susan Slager, Honglin Song, Penny Soucy, Melissa C. Southey, Marie Stenmark-Askmalm, Dominique Stoppa-Lyonnet, Christian Sutter, Anthony Swerdlow, Sandrine Tchatchou, Manuel R. Teixeira, Soo H. Teo, Kathryn L. Terry, Mary Beth Terry, Mads Thomassen, Maria Grazia Tibiletti, Laima Tihomirova, Silvia Tognazzo, Amanda Ewart Toland, Ian Tomlinson, Diana Torres, Thérèse Truong, Chiu-chen Tseng, Nadine Tung, Shelley S. Tworoger, Celine Vachon, Ans M. W. van den Ouweland, Helena C. van Doorn, Elizabeth J. van Rensburg, Laura J. Van't Veer, Adriaan Vanderstichele, Ignace Vergote, Joseph Vijai, Qin Wang, Shan Wang-Gohrke, Jeffrey N. Weitzel, Nicolas Wentzensen, Alice S. Whittemore, Hans Wildiers, Robert Winqvist, Anna H. Wu, Drakoulis Yannoukakos, Sook-Yee Yoon, Jyh-Cherng Yu, Wei Zheng, Ying Zheng, Kum Kum Khanna, Jacques Simard, Alvaro N. Monteiro, Juliet D. French, Fergus J. Couch, Matthew L. Freedman, Douglas F. Easton, Alison M. Dunning, Paul D. Pharoah, Stacey L. Edwards, Georgia Chenevix-Trench, Antonis C. Antoniou, and Simon A. Gayther
Subjects: Science
Abstract: A region on chromosome 19p13 is associated with the risk of developing ovarian and breast cancer. Here, the authors genotyped SNPs in this region in thousands of breast and ovarian cancer patients and identified SNPs associated with three genes, which were analysed with functional studies.
Published: 2016
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85. Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Author: Alexander Gusev, Huwenbo Shi, Gleb Kichaev, Mark Pomerantz, Fugen Li, Henry W. Long, Sue A. Ingles, Rick A. Kittles, Sara S. Strom, Benjamin A. Rybicki, Barbara Nemesure, William B. Isaacs, Wei Zheng, Curtis A. Pettaway, Edward D. Yeboah, Yao Tettey, Richard B. Biritwum, Andrew A. Adjei, Evelyn Tay, Ann Truelove, Shelley Niwa, Anand P. Chokkalingam, Esther M. John, Adam B. Murphy, Lisa B. Signorello, John Carpten, M. Cristina Leske, Suh-Yuh Wu, Anslem J. M. Hennis, Christine Neslund-Dudas, Ann W. Hsing, Lisa Chu, Phyllis J. Goodman, Eric A. Klein, John S. Witte, Graham Casey, Sam Kaggwa, Michael B. Cook, Daniel O. Stram, William J. Blot, Rosalind A. Eeles, Douglas Easton, ZSofia Kote-Jarai, Ali Amin Al Olama, Sara Benlloch, Kenneth Muir, Graham G. Giles, Melissa C. Southey, Liesel M. Fitzgerald, Henrik Gronberg, Fredrik Wiklund, Markus Aly, Brian E. Henderson, Johanna Schleutker, Tiina Wahlfors, Teuvo L. J. Tammela, Børge G. Nordestgaard, Tim J. Key, Ruth C. Travis, David E. Neal, Jenny L. Donovan, Freddie C. Hamdy, Paul Pharoah, Nora Pashayan, Kay-Tee Khaw, Janet L. Stanford, Stephen N. Thibodeau, Shannon K. McDonnell, Daniel J. Schaid, Christiane Maier, Walther Vogel, Manuel Luedeke, Kathleen Herkommer, Adam S. Kibel, Cezary Cybulski, Dominika Wokolorczyk, Wojciech Kluzniak, Lisa Cannon-Albright, Craig Teerlink, Hermann Brenner, Aida K. Dieffenbach, Volker Arndt, Jong Y. Park, Thomas A. Sellers, Hui-Yi Lin, Chavdar Slavov, Radka Kaneva, Vanio Mitev, Jyotsna Batra, Amanda Spurdle, Judith A. Clements, Manuel R. Teixeira, Hardev Pandha, Agnieszka Michael, Paula Paulo, Sofia Maia, Andrzej Kierzek, The PRACTICAL consortium, David V. Conti, Demetrius Albanes, Christine Berg, Sonja I. Berndt, Daniele Campa, E. David Crawford, W. Ryan Diver, Susan M. Gapstur, J. Michael Gaziano, Edward Giovannucci, Robert Hoover, David J. Hunter, Mattias Johansson, Peter Kraft, Loic Le Marchand, Sara Lindström, Carmen Navarro, Kim Overvad, Elio Riboli, Afshan Siddiq, Victoria L. Stevens, Dimitrios Trichopoulos, Paolo Vineis, Meredith Yeager, Gosia Trynka, Soumya Raychaudhuri, Frederick R. Schumacher, Alkes L. Price, Matthew L. Freedman, Christopher A. Haiman, and Bogdan Pasaniuc
Subjects: Science
Abstract: Over one hundred loci have been identified to be associated with the familial risk of prostate cancer but the functional effects are poorly understood. Here the authors use single-nucleotide variant and epigentic data to show an underlying genetic architecture marked by histone modification.
Published: 2016
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86. Meta-analysis of genome-wide association studies discovers multiple loci for chronic lymphocytic leukemia

Author: Sonja I. Berndt, Nicola J. Camp, Christine F. Skibola, Joseph Vijai, Zhaoming Wang, Jian Gu, Alexandra Nieters, Rachel S. Kelly, Karin E. Smedby, Alain Monnereau, Wendy Cozen, Angela Cox, Sophia S. Wang, Qing Lan, Lauren R. Teras, Moara Machado, Meredith Yeager, Angela R. Brooks-Wilson, Patricia Hartge, Mark P. Purdue, Brenda M. Birmann, Claire M. Vajdic, Pierluigi Cocco, Yawei Zhang, Graham G. Giles, Anne Zeleniuch-Jacquotte, Charles Lawrence, Rebecca Montalvan, Laurie Burdett, Amy Hutchinson, Yuanqing Ye, Timothy G. Call, Tait D. Shanafelt, Anne J. Novak, Neil E. Kay, Mark Liebow, Julie M. Cunningham, Cristine Allmer, Henrik Hjalgrim, Hans-Olov Adami, Mads Melbye, Bengt Glimelius, Ellen T. Chang, Martha Glenn, Karen Curtin, Lisa A. Cannon-Albright, W Ryan Diver, Brian K. Link, George J. Weiner, Lucia Conde, Paige M. Bracci, Jacques Riby, Donna K. Arnett, Degui Zhi, Justin M. Leach, Elizabeth A. Holly, Rebecca D. Jackson, Lesley F. Tinker, Yolanda Benavente, Núria Sala, Delphine Casabonne, Nikolaus Becker, Paolo Boffetta, Paul Brennan, Lenka Foretova, Marc Maynadie, James McKay, Anthony Staines, Kari G. Chaffee, Sara J. Achenbach, Celine M. Vachon, Lynn R. Goldin, Sara S. Strom, Jose F. Leis, J. Brice Weinberg, Neil E. Caporaso, Aaron D. Norman, Anneclaire J. De Roos, Lindsay M. Morton, Richard K. Severson, Elio Riboli, Paolo Vineis, Rudolph Kaaks, Giovanna Masala, Elisabete Weiderpass, María- Dolores Chirlaque, Roel C. H. Vermeulen, Ruth C. Travis, Melissa C. Southey, Roger L. Milne, Demetrius Albanes, Jarmo Virtamo, Stephanie Weinstein, Jacqueline Clavel, Tongzhang Zheng, Theodore R. Holford, Danylo J. Villano, Ann Maria, John J. Spinelli, Randy D. Gascoyne, Joseph M. Connors, Kimberly A. Bertrand, Edward Giovannucci, Peter Kraft, Anne Kricker, Jenny Turner, Maria Grazia Ennas, Giovanni M. Ferri, Lucia Miligi, Liming Liang, Baoshan Ma, Jinyan Huang, Simon Crouch, Ju-Hyun Park, Nilanjan Chatterjee, Kari E. North, John A. Snowden, Josh Wright, Joseph F. Fraumeni, Kenneth Offit, Xifeng Wu, Silvia de Sanjose, James R. Cerhan, Stephen J. Chanock, Nathaniel Rothman, and Susan L. Slager
Subjects: Science
Abstract: Chronic lymphocytic leukemia is a highly inheritable cancer. Here the authors conduct a metaanalysis of four genome-wide association studies and identify three novel loci located near EOMES, SERPINB6 and LPPassociated with risk of this disease.
Published: 2016
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87. Independent evaluation of melanoma polygenic risk scores in <scp>UK</scp> and Australian prospective cohorts*

Author: Julia Steinberg, Mark M. Iles, Jin Yee Lee, Xiaochuan Wang, Matthew H. Law, Amelia K. Smit, Tu Nguyen‐Dumont, Graham G. Giles, Melissa C. Southey, Roger L. Milne, Graham J. Mann, D. Timothy Bishop, Robert J. MacInnis, and Anne E. Cust
Subjects: Multifactorial Inheritance, Risk Factors, Australia, Humans, Genetic Predisposition to Disease, Prospective Studies, Dermatology, Melanoma, Polymorphism, Single Nucleotide, Risk Assessment, United Kingdom, Genome-Wide Association Study
Abstract: Previous studies suggest that polygenic risk scores (PRSs) may improve melanoma risk stratification. However, there has been limited independent validation of PRS-based risk prediction, particularly assessment of calibration (comparing predicted to observed risks).To evaluate PRS-based melanoma risk prediction in prospective UK and Australian cohorts with European ancestry.We analysed invasive melanoma incidence in the UK Biobank (UKB; n = 395 647, 1651 cases) and a case-cohort nested within the Melbourne Collaborative Cohort Study (MCCS, Australia; n = 4765, 303 cases). Three PRSs were evaluated: 68 single-nucleotide polymorphisms (SNPs) at 54 loci from a 2020 meta-analysis (PRS68), 50 SNPs significant in the 2020 meta-analysis excluding UKB (PRS50) and 45 SNPs at 21 loci known in 2018 (PRS45). Ten-year melanoma risks were calculated from population-level cancer registry data by age group and sex, with and without PRS adjustment.Predicted absolute melanoma risks based on age and sex alone underestimated melanoma incidence in the UKB [ratio of expected/observed cases: E/O = 0·65, 95% confidence interval (CI) 0·62-0·68] and MCCS (E/O = 0·63, 95% CI 0·56-0·72). For UKB, calibration was improved by PRS adjustment, with PRS50-adjusted risks E/O = 0·91, 95% CI 0·87-0·95. The discriminative ability for PRS68- and PRS50-adjusted absolute risks was higher than for risks based on age and sex alone (Δ area under the curve 0·07-0·10, P 0·0001), and higher than for PRS45-adjusted risks (Δ area under the curve 0·02-0·04, P 0·001).A PRS derived from a larger, more diverse meta-analysis improves risk prediction compared with an earlier PRS, and might help tailor melanoma prevention and early detection strategies to different risk levels. Recalibration of absolute risks may be necessary for application to specific populations.
Published: 2022
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88. Supplementary Tables and References from BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

Author: Fergus J. Couch, Maaike P.G. Vreeswijk, Aura Carreira, David E. Goldgar, Alvaro N.A. Monteiro, Harry Vrieling, Peter Devilee, Amanda Spurdle, Douglas F. Easton, Setareh Moghadasi, Liliana Varesco, Kathleen B.M. Claes, Florentia Fostira, Lenka Foretova, Logan Walker, Jennifer Leary, Ying Zheng, Wei Zheng, Jyh-Cherng Yu, Anna H. Wu, Robert Winqvist, Qin Wang, Lizet E. van der Kolk, Christi J. van Asperen, Thérèse Truong, Diana Torres, Ian Tomlinson, Soo H. Teo, Anthony Swerdlow, Daniel O. Stram, Melissa C. Southey, Susan Slager, Xiao-Ou Shu, Martha Shrubsole, Chen-Yang Shen, Mitul Shah, Caroline Seynaeve, Minouk J. Schoemaker, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Valerie Rhenius, Muhammad Usman Rashid, Paolo Radice, Katri Pylkäs, Paul D.P. Pharoah, Julian Peto, Paolo Peterlongo, Ana Osorio, Jan J.C. Oosterwijk, Curtis Olswold, Janet E. Olson, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Roger L. Milne, Kyriaki Michailidou, Hui Miao, Keitaro Matsuo, Frederik Marme, Sara Margolin, Arto Mannermaa, Eva Machackova, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Kah-Nyin Lai, Vessela Kristensen, Veli-Matti Kosma, Daehee Kang, Anna Jakubowska, Hidemi Ito, John L. Hopper, Antoinette Hollestelle, Frans B. Hogervorst, Mikael Hartman, Ute Hamann, Per Hall, Christopher A. Haiman, Pascal Guénel, Gord Glendon, Graham G. Giles, Montserrat García-Closas, Henrik Flyger, Jonine Figueroa, Peter A. Fasching, Alison M. Dunning, Isabel dos-Santos-Silva, Thilo Dörk, Joe Dennis, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, J. Margriet Collée, Ji-Yeob Choi, Ching-Yu Cheng, Georgia Chenevix-Trench, Jenny Chang-Claude, Barbara Burwinkel, Thomas Brüning, Barbara Brouwers, Annegien Broeks, Hermann Brenner, Paul Brennan, Hiltrud Brauch, Anne-Lise Borresen-Dale, Manjeet K. Bolla, Stig E. Bojesen, Natalia V. Bogdanova, Javier Benitez, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene Andrulis, Kristiina Aittomäki, Cora M. Aalfs, Chunling Hu, Jenna Lilyquist, Jamie Hinton, Emily Hallberg, Huong Meeks, Fabienne M.G.R. Calléja, Charlotte Martin, Lucia Guidugli, Asa Ehlen, Catharina Von Nicolai, Romy L.S. Mesman, and Hermela Shimelis
Abstract: Table S1: Description of the BCAC studies contributing to COGS. Table S2: Predicted effects of BRCA1 and BRCA2 variants included in the iCOGS array on protein function. Table S3: Frequency of BRCA1 and BRCA2 variants from iCOGS in breast cancer cases and controls. Table S4: Family studies of Y3035S showing scores for each family by constant relative risk and 75% penetrance. Supplementary References.
Published: 2023
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89. Table S7 from A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk

Author: Jirong Long, Wei Zheng, Paul D.P. Pharoah, Thomas A. Sellers, Georgia Chenevix-Trench, Ellen L. Goode, Andrew Berchuck, Antonis C. Antoniou, Simon A. Gayther, Kristin K. Zorn, Drakoulis Yannoukakos, Anna H. Wu, Alicja Wolk, Emily White, Nicolas Wentzensen, Jeffrey N. Weitzel, Penelope M. Webb, Digna Velez Edwards, Ana Vega, Adriaan Vanderstichele, Elizabeth J. van Rensburg, Shelley S. Tworoger, Nadine Tung, Antonia Trichopoulou, Amanda E. Toland, Marc Tischkowitz, Mads Thomassen, Soo H. Teo, Manuel R. Teixeira, Anthony J. Swerdlow, Rebecca Sutphen, Amanda B. Spurdle, Melissa C. Southey, Honglin Song, Christian F. Singer, Jacques Simard, Weiva Sieh, Priyanka Sharma, Veronica W. Setiawan, Rita K. Schmutzler, Dale P. Sandler, Iwona K. Rzepecka, Mary Anne Rossing, Matti A. Rookus, Isabelle Romieu, Cristina Rodríguez-Antona, Gustavo C. Rodriguez, Harvey Risch, Gad Rennert, Susan J. Ramus, Miquel Angel Pujana, Catherine M. Phelan, Paolo Peterlongo, Tanja Pejovic, Petra H.M. Peeters, Michael T. Parsons, Sue K. Park, Ana Osorio, Håkan Olsson, Sara H. Olson, Olufunmilayo I. Olopade, Edith Olah, Kenneth Offit, Robert L. Nussbaum, Liene Nikitina-Zake, Finn C. Nielsen, Heli Nevanlinna, Susan L. Neuhausen, Marco Montagna, Francesmary Modugno, Melissa A. Merritt, Iain A. McNeish, Lesley McGuffog, Taymaa May, Amalia Mattiello, Douglas A. Levine, Fabienne Lesueur, Goska Leslie, Nhu D. Le, Ava Kwong, Susanne K. Kjaer, Lambertus A. Kiemeney, Linda E. Kelemen, Beth Y. Karlan, Paul James, Anna Jakubowska, Claudine Isaacs, Evgeny N. Imyanitov, David G. Huntsman, Peter J. Hulick, Antoinette Hollestelle, Claus K. Høgdall, Michelle A.T. Hildebrandt, Florian Heitz, Ute Hamann, Jacek Gronwald, Mark H. Greene, Marc T. Goodman, David E. Goldgar, Andrew K. Godwin, Graham G. Giles, Judy Garber, Patricia A. Ganz, Eitan Friedman, George Fountzilas, Renée T. Fortner, Peter A. Fasching, Diana M. Eccles, Douglas F. Easton, Thilo Dörk, Susan M. Domchek, Orland Diez, Joe Dennis, Anna deFazio, Mary B. Daly, Daniel W. Cramer, Fergus J. Couch, Kathleen B.M. Claes, Jenny Chang-Claude, Ian Campbell, Maria A. Caligo, Trinidad Caldes, Ralf Butzow, James Brenton, Line Bjorge, Javier Benitez, Daniel R. Barnes, Rosa B. Barkardottir, Elisa V. Bandera, Banu K. Arun, Hoda Anton-Culver, Irene L. Andrulis, Kirsten B. Moysich, Jamie K. Teer, Brett M. Reid, Jennifer B. Permuth, Yian A. Chen, Hae Kyung Im, Joellen M. Schildkraut, Bingshan Li, Xingyi Guo, Lang Wu, Alicia Beeghly-Fadiel, and Yingchang Lu
Abstract: Variants with P < 5E-8 either in BCAC or OCAC between 42,836,399 and 44,910,520 on the chromosome 17.
Published: 2023
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90. Data from Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Author: Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, and Robert J. MacInnis
Abstract: Background: We have developed a genome-wide association study analysis method called DEPTH (DEPendency of association on the number of Top Hits) to identify genomic regions potentially associated with disease by considering overlapping groups of contiguous markers (e.g., SNPs) across the genome. DEPTH is a machine learning algorithm for feature ranking of ultra-high dimensional datasets, built from well-established statistical tools such as bootstrapping, penalized regression, and decision trees. Unlike marginal regression, which considers each SNP individually, the key idea behind DEPTH is to rank groups of SNPs in terms of their joint strength of association with the outcome. Our aim was to compare the performance of DEPTH with that of standard logistic regression analysis.Methods: We selected 1,854 prostate cancer cases and 1,894 controls from the UK for whom 541,129 SNPs were measured using the Illumina Infinium HumanHap550 array. Confirmation was sought using 4,152 cases and 2,874 controls, ascertained from the UK and Australia, for whom 211,155 SNPs were measured using the iCOGS Illumina Infinium array.Results: From the DEPTH analysis, we identified 14 regions associated with prostate cancer risk that had been reported previously, five of which would not have been identified by conventional logistic regression. We also identified 112 novel putative susceptibility regions.Conclusions: DEPTH can reveal new risk-associated regions that would not have been identified using a conventional logistic regression analysis of individual SNPs.Impact: This study demonstrates that the DEPTH algorithm could identify additional genetic susceptibility regions that merit further investigation. Cancer Epidemiol Biomarkers Prev; 25(12); 1619–24. ©2016 AACR.
Published: 2023
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91. Data from Pathology of Breast and Ovarian Cancers among BRCA1 and BRCA2 Mutation Carriers: Results from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA)

Author: Antonis C. Antoniou, Douglas F. Easton, Georgia Chenevix-Trench, Beth Karlan, Christine Walsh, Jenny Gross, Kate Nathanson, Simon A. Gayther, Lara Sucheston, Kunle Odunsi, Mary Beattie, Robert Nussbaum, Susan L. Neuhausen, Linda Steele, Karin Henriksson, Anna von Wachenfeld, Johanna Rantala, Paolo Aretini, Maria Caligo, Torben Kruse, Anne-Marie Gerdes, Mads Thomassen, Kevin Sweet, Leigha Senter, Amanda Ewart Toland, Evgeny Imyanitov, Anna Sokolenko, Mark H. Greene, Phuong L. Mai, Christine Rappaport, Muy-Kheng Tea, Christian F. Singer, Mia M. Gaudet, Rita Sakr, Kenneth Offit, Csilla Szabo, Noralane M. Lindor, Vernon S. Pankratz, Zachary Fredericksen, Xianshu Wang, Judy E. Garber, Nadine Tung, Wendy Rubinstein, Timothy R. Rebbeck, Stephen Fox, Max Yan, Emma D'Andrea, Simona Agata, Marco Montagna, Jacques Simard, Martine Dumont, Rosa B. Barkardottir, Adalgeir Arason, Bjarni A. Agnarsson, Joan Brunet, Conxi Lazaro, Ignacio Blanco, Kristiina Aittomäki, Päivi Heikkilä, Tuomas Heikkinen, Carmen Cañadas, Miguel de la Hoya, Trinidad Caldes, Beth N. Peshkin, Claudine Isaacs, Laure Barjhoux, Muriel Belotti, Dominique Stoppa-Lyonnet, Heidrun Gevensleben, Ines Schönbuchner, Raymonda Varon-Mateeva, Sabine Preisler-Adams, Doroteha Gadzicki, Helmut Deissler, Christian Sutter, Dieter Niederacher, Norbert Arnold, Karin Kast, Alfons Meindl, Barbara Wappenschmidt, Rita K. Schmutzler, Andrew K. Godwin, JoEllen Weaver, Catherine Houghton, Lucy E. Side, Mark T. Rogers, Lisa Walker, Carole Brewer, D. Gareth Evans, Debra Frost, Susan Peock, Rob B. van der Luijt, Mieke Kriege, Frans B. Hogervorst, Muhammad U. Rashid, Ute Hamann, Paolo Radice, Laura Ottini, Anna Laura Putignano, Riccardo Dolcetti, Barbara Pasini, Sara Volorio, Monica Barile, Bernard Peissel, Siranoush Manoukian, Javier Benítez, Alexandra Stavropoulou, Ana Osorio, Finn C. Nielsen, Thomas V. O. Hansen, Laima Tihomirova, Ramunas Janavicius, Esther M. John, Frances O'Malley, David Goldgar, Mary Beth Terry, Melissa C. Southey, Olga M. Sinilnikova, Sue Healey, Lesley McGuffog, Christoph Engel, Fergus J. Couch, Anna Marie Mulligan, Mark Sherman, Mark Robson, Amanda Spurdle, Susan J. Ramus, Heli Nevanlinna, Diana Eccles, Susan M. Domchek, Irene L. Andrulis, Daniel Barrowdale, and Nasim Mavaddat
Abstract: Background: Previously, small studies have found that BRCA1 and BRCA2 breast tumors differ in their pathology. Analysis of larger datasets of mutation carriers should allow further tumor characterization.Methods: We used data from 4,325 BRCA1 and 2,568 BRCA2 mutation carriers to analyze the pathology of invasive breast, ovarian, and contralateral breast cancers.Results: There was strong evidence that the proportion of estrogen receptor (ER)-negative breast tumors decreased with age at diagnosis among BRCA1 (P-trend = 1.2 × 10−5), but increased with age at diagnosis among BRCA2, carriers (P-trend = 6.8 × 10−6). The proportion of triple-negative tumors decreased with age at diagnosis in BRCA1 carriers but increased with age at diagnosis of BRCA2 carriers. In both BRCA1 and BRCA2 carriers, ER-negative tumors were of higher histologic grade than ER-positive tumors (grade 3 vs. grade 1; P = 1.2 × 10−13 for BRCA1 and P = 0.001 for BRCA2). ER and progesterone receptor (PR) expression were independently associated with mutation carrier status [ER-positive odds ratio (OR) for BRCA2 = 9.4, 95% CI: 7.0–12.6 and PR-positive OR = 1.7, 95% CI: 1.3–2.3, under joint analysis]. Lobular tumors were more likely to be BRCA2-related (OR for BRCA2 = 3.3, 95% CI: 2.4–4.4; P = 4.4 × 10−14), and medullary tumors BRCA1-related (OR for BRCA2 = 0.25, 95% CI: 0.18–0.35; P = 2.3 × 10−15). ER-status of the first breast cancer was predictive of ER-status of asynchronous contralateral breast cancer (P = 0.0004 for BRCA1; P = 0.002 for BRCA2). There were no significant differences in ovarian cancer morphology between BRCA1 and BRCA2 carriers (serous: 67%; mucinous: 1%; endometrioid: 12%; clear-cell: 2%).Conclusions/Impact: Pathologic characteristics of BRCA1 and BRCA2 tumors may be useful for improving risk-prediction algorithms and informing clinical strategies for screening and prophylaxis. Cancer Epidemiol Biomarkers Prev; 21(1); 134–47. ©2011 AACR.
Published: 2023
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92. Data from BRCA2 Hypomorphic Missense Variants Confer Moderate Risks of Breast Cancer

Author: Fergus J. Couch, Maaike P.G. Vreeswijk, Aura Carreira, David E. Goldgar, Alvaro N.A. Monteiro, Harry Vrieling, Peter Devilee, Amanda Spurdle, Douglas F. Easton, Setareh Moghadasi, Liliana Varesco, Kathleen B.M. Claes, Florentia Fostira, Lenka Foretova, Logan Walker, Jennifer Leary, Ying Zheng, Wei Zheng, Jyh-Cherng Yu, Anna H. Wu, Robert Winqvist, Qin Wang, Lizet E. van der Kolk, Christi J. van Asperen, Thérèse Truong, Diana Torres, Ian Tomlinson, Soo H. Teo, Anthony Swerdlow, Daniel O. Stram, Melissa C. Southey, Susan Slager, Xiao-Ou Shu, Martha Shrubsole, Chen-Yang Shen, Mitul Shah, Caroline Seynaeve, Minouk J. Schoemaker, Marjanka K. Schmidt, Elinor J. Sawyer, Suleeporn Sangrajrang, Anja Rudolph, Valerie Rhenius, Muhammad Usman Rashid, Paolo Radice, Katri Pylkäs, Paul D.P. Pharoah, Julian Peto, Paolo Peterlongo, Ana Osorio, Jan J.C. Oosterwijk, Curtis Olswold, Janet E. Olson, Heli Nevanlinna, Susan L. Neuhausen, Kenneth Muir, Roger L. Milne, Kyriaki Michailidou, Hui Miao, Keitaro Matsuo, Frederik Marme, Sara Margolin, Arto Mannermaa, Eva Machackova, Jan Lubinski, Artitaya Lophatananon, Annika Lindblom, Jingmei Li, Loic Le Marchand, Diether Lambrechts, Kah-Nyin Lai, Vessela Kristensen, Veli-Matti Kosma, Daehee Kang, Anna Jakubowska, Hidemi Ito, John L. Hopper, Antoinette Hollestelle, Frans B. Hogervorst, Mikael Hartman, Ute Hamann, Per Hall, Christopher A. Haiman, Pascal Guénel, Gord Glendon, Graham G. Giles, Montserrat García-Closas, Henrik Flyger, Jonine Figueroa, Peter A. Fasching, Alison M. Dunning, Isabel dos-Santos-Silva, Thilo Dörk, Joe Dennis, Hatef Darabi, Kamila Czene, Simon S. Cross, Angela Cox, J. Margriet Collée, Ji-Yeob Choi, Ching-Yu Cheng, Georgia Chenevix-Trench, Jenny Chang-Claude, Barbara Burwinkel, Thomas Brüning, Barbara Brouwers, Annegien Broeks, Hermann Brenner, Paul Brennan, Hiltrud Brauch, Anne-Lise Borresen-Dale, Manjeet K. Bolla, Stig E. Bojesen, Natalia V. Bogdanova, Javier Benitez, Matthias W. Beckmann, Volker Arndt, Hoda Anton-Culver, Irene Andrulis, Kristiina Aittomäki, Cora M. Aalfs, Chunling Hu, Jenna Lilyquist, Jamie Hinton, Emily Hallberg, Huong Meeks, Fabienne M.G.R. Calléja, Charlotte Martin, Lucia Guidugli, Asa Ehlen, Catharina Von Nicolai, Romy L.S. Mesman, and Hermela Shimelis
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.
Published: 2023
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93. Data from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author: Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama
Abstract: Background: Genome-wide association studies have identified multiple genetic variants associated with prostate cancer risk which explain a substantial proportion of familial relative risk. These variants can be used to stratify individuals by their risk of prostate cancer.Methods: We genotyped 25 prostate cancer susceptibility loci in 40,414 individuals and derived a polygenic risk score (PRS). We estimated empirical odds ratios (OR) for prostate cancer associated with different risk strata defined by PRS and derived age-specific absolute risks of developing prostate cancer by PRS stratum and family history.Results: The prostate cancer risk for men in the top 1% of the PRS distribution was 30.6 (95% CI, 16.4–57.3) fold compared with men in the bottom 1%, and 4.2 (95% CI, 3.2–5.5) fold compared with the median risk. The absolute risk of prostate cancer by age of 85 years was 65.8% for a man with family history in the top 1% of the PRS distribution, compared with 3.7% for a man in the bottom 1%. The PRS was only weakly correlated with serum PSA level (correlation = 0.09).Conclusions: Risk profiling can identify men at substantially increased or reduced risk of prostate cancer. The effect size, measured by OR per unit PRS, was higher in men at younger ages and in men with family history of prostate cancer. Incorporating additional newly identified loci into a PRS should improve the predictive value of risk profiles.Impact: We demonstrate that the risk profiling based on SNPs can identify men at substantially increased or reduced risk that could have useful implications for targeted prevention and screening programs. Cancer Epidemiol Biomarkers Prev; 24(7); 1121–9. ©2015 AACR.
Published: 2023
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94. Supplementary Figure 1 from Risk Analysis of Prostate Cancer in PRACTICAL, a Multinational Consortium, Using 25 Known Prostate Cancer Susceptibility Loci

Author: Douglas F. Easton, Rosalind A. Eeles, Zsofia Kote-Jarai, Antje E. Rinckleb, Aritaya Lophatonanon, John L. Hopper, Kathleen Herkommer, Rosemary Wilkinson, Emma Sawyer, Koveela Govindasami, Sarah J. Little, Tokhir Dadaev, Michelle Guy, Malgorzata Tymrakiewicz, Edward Saunders, Daniel Leongamornlert, Liesel FitzGerald, Amanda B. Spurdle, Melissa C. Southey, Angela Cox, Robert Stephenson, Hong-Wei Zhang, Yong-Jie Lu, Maurice P. Zeegers, William D. Foulkes, Radka P. Kaneva, Pierre Hutter, Pierre O. Chappuis, Kathleen A. Cooney, Stephen N. Thibodeau, Tomonori Habuchi, Charnita Zeigler-Johnson, Timothy R. Rebbeck, Hermann Brenner, Lisa Cannon-Albright, Joanne L. Dickinson, Thilo Doerk, Christiane Maier, Cezary Cybulski, Jong Y. Park, Torben F. Orntoft, Karina D. Sorensen, Sue A. Ingles, Børge G. Nordestgaard, Maren Weischer, Suzanne K. Chambers, Judith A. Clements, Jyotsna Batra, Janet L. Stanford, Elaine A. Ostrander, Paul D.P. Pharoah, Nora Pashayan, Fredrick R. Schumacher, Christopher A. Haiman, Brian E. Henderson, Johanna Schleutker, Kenneth Muir, Jenny L. Donovan, Freddie C. Hamdy, David E. Neal, Gianluca Severi, Graham G. Giles, Antonis C. Antoniou, Sara Benlloch, and Ali Amin Al Olama
Abstract: Supplementary Figure 1. Absolute Risk (With family history of prostate cancer)
Published: 2023
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95. Data from Network-Based Integration of GWAS and Gene Expression Identifies a HOX-Centric Network Associated with Serous Ovarian Cancer Risk

Author: Paul D.P. Pharoah, Simon A. Gayther, Matthew L. Freedman, Alvaro N.A. Monteiro, Thomas A. Sellers, Argyrios Ziogas, Wei Zheng, Hannah Yang, Anna Wu, Xifeng Wu, Yin-Ling Woo, Lynne R. Wilkens, Kristine G. Wicklund, Alice S. Whittemore, Nicolas Wentzensen, Christine Walsh, Shan Wang-Gohrke, Robert A. Vierkant, Ignace Vergote, Els Van Nieuwenhuysen, Anne M. van Altena, Shelley S. Tworoger, Ya-Yu Tsai, Agnieszka Timorek, Pamela J. Thompson, Kathryn L. Terry, Soo-Hwang Teo, Ingvild L. Tangen, Lara E. Sucheston-Campbell, Melissa C. Southey, Honglin Song, Weiva Sieh, Nadeem Siddiqui, Yurii B. Shvetsov, Xiao-Ou Shu, Ira Schwaab, Joellen M. Schildkraut, Helga B. Salvesen, Iwona K. Rzepecka, Ingo B. Runnebaum, Anja Rudolph, Joseph H. Rothstein, Mary Anne Rossing, Barry Rosen, Harvey A. Risch, Susan J. Ramus, Elizabeth M. Poole, Malcolm C. Pike, Catherine M. Phelan, Jennifer Permuth-Wey, Liisa M. Pelttari, Tanja Pejovic, Celeste Leigh Pearce, Rachel Palmieri Weber, Sandra Orsulic, Irene Orlow, Sara H. Olson, Kunle Odunsi, Heli Nevanlinna, Roberta B. Ness, Lotte Nedergaard, Steven A. Narod, Kirsten B. Moysich, Francesmary Modugno, Usha Menon, Iain A. McNeish, John R. McLaughlin, Valerie McGuire, Keitaro Matsuo, Leon Massuger, Lene Lundvall, Jan Lubinski, Karen Lu, Jolanta Lissowska, Dong Liang, Douglas A. Levine, Jenny Lester, Arto Leminen, Shashi Lele, Alice W. Lee, Nhu D. Le, Sandrina Lambrechts, Diether Lambrechts, Jolanta Kupryjanczyk, Camilla Krakstad, Lambertus A. Kiemeney, Joseph Kelley, Melissa Kellar, Linda E. Kelemen, Susanne K. Kjaer, Beth Y. Karlan, Bu-Tian Ji, Allan Jensen, James Paul, Anna Jakubowska, Edwin S. Iversen, Satoyo Hosono, Claus K. Hogdall, Estrid Hogdall, Peter Hillemanns, Michelle A.T. Hildebrandt, Florian Heitz, Alexander Hein, Philipp Harter, Patricia Harrington, Jacek Grownwald, Marc T. Goodman, Ellen L. Goode, Rosalind Glasspool, Graham G. Giles, Aleksandra Gentry-Maharaj, Yu-Tang Gao, Brooke L. Fridley, Peter A. Fasching, Arif B. Ekici, Robert P. Edwards, Douglas F. Easton, Diana Eccles, Matthias Dürst, Andreas du Bois, Thilo Dörk, Jennifer A. Doherty, Ed Dicks, Joe Dennis, Agnieszka Dansonka-Mieszkowska, Cezary Cybulski, Julie M. Cunningham, Daniel Cramer, Linda S. Cook, Zhihua Chen, Yian Ann Chen, Jenny Chang-Claude, Karen Carty, Ian Campbell, Ralf Butzow, Angela Brooks-Wilson, Louise Brinton, Natalia Bogdanova, Line Bjørge, Maria Bisogna, Andrew Berchuck, Matthias W. Beckmann, Yukie T. Bean, Elisa V. Bandera, Helen Baker, Georgia Chenevix-Trench, Natalia Antonenkova, Hoda Anton-Culver, Katja K.H. Aben, Kate Lawrenson, Qiyuan Li, Jonathan P. Tyrer, and Siddhartha P. Kar
Abstract: Background: Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by coexpression may also be enriched for additional EOC risk associations.Methods: We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly coexpressed with each selected TF gene in the unified microarray dataset of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this dataset were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls).Results: Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P < 0.05 and FDR < 0.05). These results were replicated (P < 0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network.Conclusion: We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development.Impact: Network analysis integrating large, context-specific datasets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. Cancer Epidemiol Biomarkers Prev; 24(10); 1574–84. ©2015 AACR.
Published: 2023
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96. Supplementary Table 4 from Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer

Author: Douglas F. Easton, Georgia Chenevix-Trench, Qin Wang, Manjeet K. Humphreys, Xianshu Wang, Janet E. Olson, Albina Farahtdinova, Darya Prokofieva, Marina Bermisheva, Elza Khusnutdinova, Madeleine Tilanus-Linthorst, Rogier A. Oldenburg, Antoinette Hollestelle, Maartje Hooning, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Christina Justenhoven, Volker Harth, Ute Hamann, Jonathan Beesley, Xiaoqing Chen, Sara Lindstrom, Peter Kraft, Susan E. Hankinson, David J. Hunter, Sei-Hyun Ahn, Dong-Young Noh, Keun-Young Yoo, Daehee Kang, Katarzyna Durda, Katarzyna Jaworska, Jan Lubinski, Anna Jakubowska, Barbara Burwinkel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Karen A. Pooley, Alison M. Dunning, Paul D.P. Pharoah, Rob A.E.M. Tollenaar, Laura J. Van ‘t Veer, Annegien Broeks, Marjanka K. Schmidt, Nicola Miller, Michael Kerin, Ian Tomlinson, Elinor Sawyer, Argyrios Ziogas, Hoda Anton-Culver, Dieter Flesch-Janys, Stefan Nickels, Julian Peto, Isabel dos Santos Silva, Lorna J. Gibson, Olivia Fletcher, Robert N. Hoover, Gilles D. Thomas, Rita K. Schmutzler, Claus R. Bartram, Joerg Heil, Alfons Meindl, Jaana M. Hartikainen, Veli-Matti Kosma, Vesa Kataja, Arto Mannermaa, Anna Marie Mulligan, Gord Glendon, Julia A. Knight, Irene L. Andrulis, Christa Stegmaier, Volker Arndt, Heiko Müller, Hermann Brenner, Matthias W. Beckmann, Arif B. Ekici, Christian M. Bayer, Peter A. Fasching, Yuri I. Rogov, Iosif V. Zalutsky, Natalia N. Antonenkova, Natalia V. Bogdanova, Jonine D. Figueroa, Mark E. Sherman, Jolanta Lissowska, Stephen J. Chanock, Alexander Miron, Esther M. John, Laura Baglietto, Graham G. Giles, Monica Barile, Siranoush Manoukian, Paolo Peterlongo, Paolo Radice, Shan Wang-Gohrke, Jenny Chang-Claude, James McKay, Paul Brennan, Valerie Gaborieau, Suleeporn Sangrajrang, Karin Leunen, Giuseppe Floris, Betül T. Yesilyurt, Diether Lambrechts, Melissa C. Southey, Carmel Apicella, Gillian S. Dite, John L. Hopper, Anne-Lise Børrensen-Dale, Vessela Kristensen, Grethe Grenaker Alnæs, Charlotte Lanng, Stig E. Bojesen, Børge G. Nordestgaard, Ming-Feng Hou, Chiun-Sheng Huang, Jyh-Cherng Yu, Chen-Yang Shen, Nazneen Rahman, Anthony Renwick, Clare Turnbull, Sheila Seal, Simon S. Cross, Graeme Elliot, Ian W. Brock, Angela Cox, Peter Hillemanns, Johann H. Karstens, Peter Schürmann, Thilo Dörk, Javier Benítez, Jose Ignacio Arias Pérez, M. Pilar Zamora, Núria Malats, Zachary Fredericksen, Rebecca Hein, Gianluca Severi, Fergus J. Couch, Montserrat García-Closas, Ellen L. Goode, and Roger L. Milne
Abstract: PDF file - 70K
Published: 2023
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97. Supplementary Table 1 from Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Author: Graham G. Giles, John L. Hopper, Rosalind A. Eeles, Zsofia Kote-Jarai, Ali Amin Al Olama, Melissa C. Southey, Adam Freeman, Daniel J. Park, Quang M. Bui, Guoqi Qian, Benjamin Goudey, Zeyu Zhou, Adam Kowalczyk, Miroslaw K. Kapuscinski, Matthias Reumann, Liesel M. FitzGerald, Gianluca Severi, Enes Makalic, Daniel F. Schmidt, and Robert J. MacInnis
Abstract: List of the previously identified 100 independent prostate cancer susceptibility SNPs.
Published: 2023
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98. Supplementary Table 2 from Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author: Eitan Friedman, Antonis C. Antoniou, Georgia Chenevix-Trench, Paul D.P. Pharoah, Andrew Lee, Sue Healey, Daniel Barrowdale, Lesley McGuffog, Karoline B. Kuchenbaecker, Åke Borg, Marie Stenmark Askmalm, Hans Ehrencrona, Anna von Wachenfeldt, Johanna Rantala, Yael Laitman, Uffe Birk Jensen, Mads Thomassen, Inge Sokilde Pedersen, Anders Bojesen, Amanda Ewart Toland, Irene L. Andrulis, Sandrine Tchatchou, Gord Glendon, Anna Marie Mulligan, Gad Rennert, Phuong L. Mai, Mark H. Greene, Catherine M. Phelan, Muy-Kheng M. Tea, Georg Pfeiler, Daphne Geschwantler Kaulich, Christine Rappaport, Christian F. Singer, Andreas Berger, Vijai Joseph, Liying Zhang, Mark E. Robson, Lauren Jacobs, Marina Corines, Kenneth Offit, Csilla I. Szabo, Xianshu Wang, Noralane M. Lindor, Fergus J. Couch, Curtis Olswold, Manuel R. Teixeira, Jocelyne Chiquette, Adalgeir Arason, Grzegorz Sukiennicki, Katarzyna Jaworska-Bieniek, Katarzyna Durda, Jacek Gronwald, Cezary Cybulski, Lidia Feliubadalo, Joan Brunet, Conxi Lazaro, Ignacio Blanco, Orland Diez, Edith Olah, J. Margriet Collée, Helena C. van Doorn, Margreet G.E.M. Ausems, Nicoline Hoogerbrugge, Maaike P.G. Vreeswijk, Annemarie H. van der Hout, Hanne E.J. Meijers-Heijboer, Theo A.M. van Os, Kristiina Aittomäki, Heli Nevanlinna, Pedro Perez Segura, Miguel de la Hoya, Larry J. Copeland, Gustavo C. Rodriguez, Michael L. Friedlander, Marion Piedmonte, Muriel Belotti, Sylvie Mazoyer, Pascal Pujol, Olivier Caron, Olga M. Sinilnikova, Nadia Boutry-Kryza, Lisa Golmard, Laurence Venat-Bouvet, Laure Barjhoux, Isabelle Coupier, Francesca Damiola, Dominique Stoppa-Lyonnet, Claude Houdayer, Capucine Delnatte, Bruno Buecher, Brigitte Bressac-de Paillerets, Shan Wang-Gohrke, Barbara Wappenschmidt, Raymonda Varon-Mateeva, Norbert Arnold, Nina Ditsch, Kerstin Rhiem, Karin Kast, Hansjoerg Plendl, Doris Steinemann, Dieter Niederacher, Christoph Engel, Christian Sutter, Andrea Gehrig, Alfons Meindl, Tom Van Maerken, Kathleen Claes, Andrew K. Godwin, Trevor Cole, Steve Ellis, Shirley V. Hodgson, Rosemarie Davidson, Radka Platte, Patrick J. Morrison, Mary E. Porteous, Mark T. Rogers, M. John Kennedy, Lucy E. Side, Louise Izatt, Lisa Walker, Julian Barwell, Julian Adlard, Marc Tischkowitz, Jackie Cook, Angela Brady, Diana Eccles, Debra Frost, D. Gareth R. Evans, Claire Foo, Carole Brewer, Alan Donaldson, Judy E. Garber, Florentia Fostira, Athanassios Vratimos, Paolo Radice, Maria Grazia Tibiletti, Aline Martayan, Laura Papi, Giuseppe Giannini, Alessandra Viel, Stefano Fortuzzi, Frederique Mariette, Filomena Ficarazzi, Monica Barile, Giulietta Scuvera, Daniela Zaffaroni, Bernard Peissel, Siranoush Manoukian, Jeffrey N. Weitzel, Kathleen R. Blazer, Edye E. Conway, Javier Benitez, Cristina Martínez-Bouzas, Ana Osorio, Lars Jønson, Bent Ejlertsen, Anne-Marie Gerdes, Thomas V.O. Hansen, Susan L. Neuhausen, Yuan Chun Ding, Elizabeth J. van Rensburg, Cecilia M. Dorfling, Ramunas Janavicius, Saundra S. Buys, David E. Goldgar, Melissa C. Southey, Alex Miron, Wendy K. Chung, Jenny Lester, Sandra Orsulic, Beth Y. Karlan, Banu K. Arun, Timothy R. Rebbeck, Susan M. Domchek, Katherine L. Nathanson, Robert L. Nussbaum, Olufunmilayo I. Olopade, Encarna B. Gómez Garcia, Anna Jakubowska, Jan Lubinski, Laura Matricardi, Marco Montagna, Ana-Teresa Maia, Felicity Lose, Logan C. Walker, Amanda B. Spurdle, Frederieke H. van der Baan, Marjanka K. Schmidt, Matti A. Rookus, Bowang Chen, Stefan Wilkening, Ute Hamann, Douglas F. Easton, Rosalind A. Eeles, Penny Soucy, Jacques Simard, Rita K. Schmutzler, Anja Rudolph, Kirsten B. Moysich, Jenny Chang-Claude, and Paolo Peterlongo
Abstract: Supplementary Table 2. Results of the statistical analyses in BRCA mutation carriers.
Published: 2023
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99. Supplementary Table 1 from Candidate Genetic Modifiers for Breast and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

Author: Eitan Friedman, Antonis C. Antoniou, Georgia Chenevix-Trench, Paul D.P. Pharoah, Andrew Lee, Sue Healey, Daniel Barrowdale, Lesley McGuffog, Karoline B. Kuchenbaecker, Åke Borg, Marie Stenmark Askmalm, Hans Ehrencrona, Anna von Wachenfeldt, Johanna Rantala, Yael Laitman, Uffe Birk Jensen, Mads Thomassen, Inge Sokilde Pedersen, Anders Bojesen, Amanda Ewart Toland, Irene L. Andrulis, Sandrine Tchatchou, Gord Glendon, Anna Marie Mulligan, Gad Rennert, Phuong L. Mai, Mark H. Greene, Catherine M. Phelan, Muy-Kheng M. Tea, Georg Pfeiler, Daphne Geschwantler Kaulich, Christine Rappaport, Christian F. Singer, Andreas Berger, Vijai Joseph, Liying Zhang, Mark E. Robson, Lauren Jacobs, Marina Corines, Kenneth Offit, Csilla I. Szabo, Xianshu Wang, Noralane M. Lindor, Fergus J. Couch, Curtis Olswold, Manuel R. Teixeira, Jocelyne Chiquette, Adalgeir Arason, Grzegorz Sukiennicki, Katarzyna Jaworska-Bieniek, Katarzyna Durda, Jacek Gronwald, Cezary Cybulski, Lidia Feliubadalo, Joan Brunet, Conxi Lazaro, Ignacio Blanco, Orland Diez, Edith Olah, J. Margriet Collée, Helena C. van Doorn, Margreet G.E.M. Ausems, Nicoline Hoogerbrugge, Maaike P.G. Vreeswijk, Annemarie H. van der Hout, Hanne E.J. Meijers-Heijboer, Theo A.M. van Os, Kristiina Aittomäki, Heli Nevanlinna, Pedro Perez Segura, Miguel de la Hoya, Larry J. Copeland, Gustavo C. Rodriguez, Michael L. Friedlander, Marion Piedmonte, Muriel Belotti, Sylvie Mazoyer, Pascal Pujol, Olivier Caron, Olga M. Sinilnikova, Nadia Boutry-Kryza, Lisa Golmard, Laurence Venat-Bouvet, Laure Barjhoux, Isabelle Coupier, Francesca Damiola, Dominique Stoppa-Lyonnet, Claude Houdayer, Capucine Delnatte, Bruno Buecher, Brigitte Bressac-de Paillerets, Shan Wang-Gohrke, Barbara Wappenschmidt, Raymonda Varon-Mateeva, Norbert Arnold, Nina Ditsch, Kerstin Rhiem, Karin Kast, Hansjoerg Plendl, Doris Steinemann, Dieter Niederacher, Christoph Engel, Christian Sutter, Andrea Gehrig, Alfons Meindl, Tom Van Maerken, Kathleen Claes, Andrew K. Godwin, Trevor Cole, Steve Ellis, Shirley V. Hodgson, Rosemarie Davidson, Radka Platte, Patrick J. Morrison, Mary E. Porteous, Mark T. Rogers, M. John Kennedy, Lucy E. Side, Louise Izatt, Lisa Walker, Julian Barwell, Julian Adlard, Marc Tischkowitz, Jackie Cook, Angela Brady, Diana Eccles, Debra Frost, D. Gareth R. Evans, Claire Foo, Carole Brewer, Alan Donaldson, Judy E. Garber, Florentia Fostira, Athanassios Vratimos, Paolo Radice, Maria Grazia Tibiletti, Aline Martayan, Laura Papi, Giuseppe Giannini, Alessandra Viel, Stefano Fortuzzi, Frederique Mariette, Filomena Ficarazzi, Monica Barile, Giulietta Scuvera, Daniela Zaffaroni, Bernard Peissel, Siranoush Manoukian, Jeffrey N. Weitzel, Kathleen R. Blazer, Edye E. Conway, Javier Benitez, Cristina Martínez-Bouzas, Ana Osorio, Lars Jønson, Bent Ejlertsen, Anne-Marie Gerdes, Thomas V.O. Hansen, Susan L. Neuhausen, Yuan Chun Ding, Elizabeth J. van Rensburg, Cecilia M. Dorfling, Ramunas Janavicius, Saundra S. Buys, David E. Goldgar, Melissa C. Southey, Alex Miron, Wendy K. Chung, Jenny Lester, Sandra Orsulic, Beth Y. Karlan, Banu K. Arun, Timothy R. Rebbeck, Susan M. Domchek, Katherine L. Nathanson, Robert L. Nussbaum, Olufunmilayo I. Olopade, Encarna B. Gómez Garcia, Anna Jakubowska, Jan Lubinski, Laura Matricardi, Marco Montagna, Ana-Teresa Maia, Felicity Lose, Logan C. Walker, Amanda B. Spurdle, Frederieke H. van der Baan, Marjanka K. Schmidt, Matti A. Rookus, Bowang Chen, Stefan Wilkening, Ute Hamann, Douglas F. Easton, Rosalind A. Eeles, Penny Soucy, Jacques Simard, Rita K. Schmutzler, Anja Rudolph, Kirsten B. Moysich, Jenny Chang-Claude, and Paolo Peterlongo
Abstract: Supplementary Table 1. The 3,248 SNPs included in the study
Published: 2023
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100. Supplementary Table 2 from 9q31.2-rs865686 as a Susceptibility Locus for Estrogen Receptor-Positive Breast Cancer: Evidence from the Breast Cancer Association Consortium

Author: Isabel dos-Santos-Silva, Julian Peto, Qin Wang, Manjeet Humphreys, Douglas F. Easton, Minouk Schoemaker, Michael Jones, Anthony Swerdlow, Alan Ashworth, Maya Ghoussaini, Alison M. Dunning, Fiona M. Blows, Paul Pharoah, Malcolm W.R. Reed, Ian W. Brock, Simon S. Cross, Angela Cox, Jingmei Li, Jianjun Liu, Kamila Czene, Per Hall, Madeleine M.A. Tilanus-Linthorst, Agnes Jager, Antoinette Hollestelle, Maartje J. Hooning, Caroline M. Seynaeve, John W.M. Martens, Robert A.E.M. Tollenaar, Peter Devilee, Nayana Weerasooriya, Anna Marie Mulligan, Julia A. Knight, Irene L. Andrulis, Mervi Grip, Arja Jukkola-Vuorinen, Katri Pylkäs, Robert Winqvist, Alexander Miron, Esther M. John, Gianluca Severi, Cariona A. McLean, Laura Baglietto, Graham Giles, Janet Olson, Xianshu Wang, Celine Vachon, Fergus J. Couch, Paolo Radice, Siranoush Manoukian, Loris Bernard, Paolo Peterlongo, Sabine Behrens, Katharina Buck, Dieter Flesch-Janys, Caroline Weltens, Robert Paridaens, Ann Smeets, Diether Lambrechts, Xiaoqing Chen, Jonathan Beesley, Georgia Chenevix-Trench, Vesa Kataja, Jaana M. Hartikainen, Veli-Matti Kosma, Arto Mannermaa, Sara Margolin, Annika Lindblom, Elza Khusnutdinova, Guzel Zinnatullina, Darya Prokofyeva, Marina Bermisheva, Yuriy Rogov, Natalia Antonenkova, Natalia Bogdanova, Carl Blomqvist, Kristiina Aittomäki, Taru A. Muranen, Heli Nevanlinna, Peter Hillemanns, Michael Bremer, Peter Schürmann, Thilo Dörk, Ursula Eilber, Shan Wang-Gohrke, Jenny Chang-Claude, Thomas Brüning, Christina Justenhoven, Hiltrud Brauch, Rita K. Schmutzler, Claus R. Bartram, Michael Golatta, Alfons Meindl, Anne Langheinz, Volker Arndt, Heiko Müller, Hermann Brenner, Christina Clarke Dur, Leslie Bernstein, Argyrios Ziogas, Hoda Anton-Culver, M. Pilar Zamora, José-Ignacio Arias-Pérez, Javier Benítez, Roger L. Milne, Børge G Nordestgaard, Henrik Flyger, Sune F. Nielsen, Stig E Bojesen, Claire Mulot, Pierre Laurent-Puig, Thérèse Truong, Pascal Guénel, Christof Sohn, Andreas Schneeweiss, Frederik Marme, Barbara Burwinkel, Michael Kerin, Ian Tomlinson, Elinor J. Sawyer, Ruediger Schulz-Wendtland, Arif B. Ekici, Matthias W. Beckmann, Peter A. Fasching, Surapon Wiangnon, Arkom Chaiwerawattana, Artitaya Lophatananon, Kenneth R. Muir, Linda M. Braaf, Sten Cornelissen, Annegien Broeks, Marjanka K. Schmidt, Maryam Mahmoodi, Melissa C. Southey, Carmel Apicella, John L. Hopper, Nichola Johnson, Nick Orr, Olivia Fletcher, Frank Dudbridge, and Helen Warren
Abstract: PDF file, 70K, Availability of information on tumor morphology and receptor status for Europeans, by each included BCAC study.
Published: 2023
Full Text: View/download PDF

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