Author: "Plaseska-Karanfilska D." / Topic: breast neoplasms - Searchworks@Jio Institute Digital Library Search Results

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32 results on '"Plaseska-Karanfilska D."'

1. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel.

Author: Levi H, Carmi S, Rosset S, Yerushalmi R, Zick A, Yablonski-Peretz T, Wang Q, Bolla MK, Dennis J, Michailidou K, Lush M, Ahearn T, Andrulis IL, Anton-Culver H, Antoniou AC, Arndt V, Augustinsson A, Auvinen P, Beane Freeman L, Beckmann M, Behrens S, Bermisheva M, Bodelon C, Bogdanova NV, Bojesen SE, Brenner H, Byers H, Camp N, Castelao J, Chang-Claude J, Chirlaque MD, Chung W, Clarke C, Collee MJ, Colonna S, Couch F, Cox A, Cross SS, Czene K, Daly M, Devilee P, Dork T, Dossus L, Eccles DM, Eliassen AH, Eriksson M, Evans G, Fasching P, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, Garcia-Saenz JA, Genkinger J, Giles GG, Goldberg M, Guénel P, Hall P, Hamann U, He W, Hillemanns P, Hollestelle A, Hoppe R, Hopper J, Jakovchevska S, Jakubowska A, Jernström H, John E, Johnson N, Jones M, Vijai J, Kaaks R, Khusnutdinova E, Kitahara C, Koutros S, Kristensen V, Kurian AW, Lacey J, Lambrechts D, Le Marchand L, Lejbkowicz F, Lindblom A, Loibl S, Lori A, Lubinski J, Mannermaa A, Manoochehri M, Mavroudis D, Menon U, Mulligan A, Murphy R, Nevelsteen I, Newman WG, Obi N, O'Brien K, Offit K, Olshan A, Plaseska-Karanfilska D, Olson J, Panico S, Park-Simon TW, Patel A, Peterlongo P, Rack B, Radice P, Rennert G, Rhenius V, Romero A, Saloustros E, Sandler D, Schmidt MK, Schwentner L, Shah M, Sharma P, Simard J, Southey M, Stone J, Tapper WJ, Taylor J, Teras L, Toland AE, Troester M, Truong T, van der Kolk LE, Weinberg C, Wendt C, Yang XR, Zheng W, Ziogas A, Dunning AM, Pharoah P, Easton DF, Ben-Sachar S, Elefant N, Shamir R, and Elkon R
Subjects: Humans, Female, Genome-Wide Association Study, Jews genetics, Israel epidemiology, Genetic Predisposition to Disease, Risk Factors, Multifactorial Inheritance genetics, Transcription Factors, Breast Neoplasms epidemiology, Breast Neoplasms genetics
Abstract: Background: Polygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women., Methods: We generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel., Results: In the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28)., Conclusions: Extant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women., Competing Interests: Competing interests: BCAC conflict of interest: MWB conducts research funded by Amgen, Novartis and Pfizer. PAF conducts research funded by Amgen, Novartis and Pfizer. He received Honoraria from Roche, Novartis and Pfizer. JV is one ofthe inventors of diagnosis and treatment of ERCC3-mutant cancer. AWK has a research funding for his institution from Myriad Genetics for an unrelated project (funding dates 2017–2019). UM has research collaborations with Mercy BioAnalytics, RNA Guardian, Dana Farber and iLOF (Intelligent Lab on Fiber). RAM is a consultant for Pharmavite., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY. Published by BMJ.)
Published: 2023
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2. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

Author: Morra A, Schreurs MAC, Andrulis IL, Anton-Culver H, Augustinsson A, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brauch H, Broeks A, Buys SS, Camp NJ, Castelao JE, Cessna MH, Chang-Claude J, Chung WK, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Devilee P, Dörk T, Dunning AM, Dwek M, Easton DF, Eccles DM, Eriksson M, Evans DG, Fasching PA, Fehm TN, Figueroa JD, Flyger H, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Genkinger J, Grassmann F, Gündert M, Hahnen E, Haiman CA, Hamann U, Harrington PA, Hartikainen JM, Hoppe R, Hopper JL, Houlston RS, Howell A, Jakubowska A, Janni W, Jernström H, John EM, Johnson N, Jones ME, Kristensen VN, Kurian AW, Lambrechts D, Le Marchand L, Lindblom A, Lubiński J, Lux MP, Mannermaa A, Mavroudis D, Mulligan AM, Muranen TA, Nevanlinna H, Nevelsteen I, Neven P, Newman WG, Obi N, Offit K, Olshan AF, Park-Simon TW, Patel AV, Peterlongo P, Phillips KA, Plaseska-Karanfilska D, Polley EC, Presneau N, Pylkäs K, Rack B, Radice P, Rashid MU, Rhenius V, Robson M, Romero A, Saloustros E, Sawyer EJ, Schmutzler RK, Schuetze S, Scott C, Shah M, Smichkoska S, Southey MC, Tapper WJ, Teras LR, Tollenaar RAEM, Tomczyk K, Tomlinson I, Troester MA, Vachon CM, van Veen EM, Wang Q, Wendt C, Wildiers H, Winqvist R, Ziogas A, Hall P, Pharoah PDP, Adank MA, Hollestelle A, Schmidt MK, and Hooning MJ
Subjects: Female, Humans, Checkpoint Kinase 2 genetics, Genetic Predisposition to Disease, Germ-Line Mutation, Heterozygote, Proportional Hazards Models, Breast Neoplasms genetics, Breast Neoplasms radiotherapy
Abstract: Background: Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers., Aim: To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS., Methods: Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death., Results: There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09-1.56)]., Conclusion: Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
Published: 2023
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3. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.

Author: Mueller SH, Lai AG, Valkovskaya M, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Abu-Ful Z, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baert T, Freeman LEB, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brucker SY, Buys SS, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Choi JY, Chung WK, Colonna SV, Cornelissen S, Couch FJ, Czene K, Daly MB, Devilee P, Dörk T, Dossus L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Engel C, Evans DG, Fasching PA, Fletcher O, Flyger H, Gago-Dominguez M, Gao YT, García-Closas M, García-Sáenz JA, Genkinger J, Gentry-Maharaj A, Grassmann F, Guénel P, Gündert M, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Harkness EF, Harrington PA, Hartikainen JM, Hartman M, Hein A, Ho WK, Hooning MJ, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Huo D, Ito H, Iwasaki M, Jakubowska A, Janni W, John EM, Jones ME, Jung A, Kaaks R, Kang D, Khusnutdinova EK, Kim SW, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Kwong A, Lacey JV, Lambrechts D, Le Marchand L, Li J, Linet M, Lo WY, Long J, Lophatananon A, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Menon U, Muir K, Murphy RA, Nevanlinna H, Newman WG, Niederacher D, O'Brien KM, Obi N, Offit K, Olopade OI, Olshan AF, Olsson H, Park SK, Patel AV, Patel A, Perou CM, Peto J, Pharoah PDP, Plaseska-Karanfilska D, Presneau N, Rack B, Radice P, Ramachandran D, Rashid MU, Rennert G, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Schneider MO, Scott C, Shah M, Sharma P, Shen CY, Shu XO, Simard J, Surowy H, Tamimi RM, Tapper WJ, Taylor JA, Teo SH, Teras LR, Toland AE, Tollenaar RAEM, Torres D, Torres-Mejía G, Troester MA, Truong T, Vachon CM, Vijai J, Weinberg CR, Wendt C, Winqvist R, Wolk A, Wu AH, Yamaji T, Yang XR, Yu JC, Zheng W, Ziogas A, Ziv E, Dunning AM, Easton DF, Hemingway H, Hamann U, and Kuchenbaecker KB
Subjects: Humans, Female, Genetic Predisposition to Disease, Black People, Genetic Testing, Genome-Wide Association Study methods, Polymorphism, Single Nucleotide, Formins genetics, Breast Neoplasms genetics
Abstract: Background: Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes., Methods: We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry., Results: In European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10 -6 ) and AC058822.1 (P = 1.47 × 10 -4 ), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C., Conclusions: Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10 -5 ), demonstrating the importance of diversifying study cohorts., (© 2023. The Author(s).)
Published: 2023
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4. A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2 .

Author: Zanti M, O'Mahony DG, Parsons MT, Li H, Dennis J, Aittomäkkiki K, Andrulis IL, Anton-Culver H, Aronson KJ, Augustinsson A, Becher H, Bojesen SE, Bolla MK, Brenner H, Brown MA, Buys SS, Canzian F, Caputo SM, Castelao JE, Chang-Claude J, Czene K, Daly MB, De Nicolo A, Devilee P, Dörk T, Dunning AM, Dwek M, Eccles DM, Engel C, Evans DG, Fasching PA, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Gentry-Maharaj A, Geurts-Giele WRR, Giles GG, Glendon G, Goldberg MS, Garcia EBG, Güendert M, Guénel P, Hahnen E, Haiman CA, Hall P, Hamann U, Harkness EF, Hogervorst FBL, Hollestelle A, Hoppe R, Hopper JL, Houdayer C, Houlston RS, Howell A, Jakimovska M, Jakubowska A, Jernström H, John EM, Kaaks R, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Lacey JV, Lambrechts D, Léoné M, Lindblom A, Lubiński J, Lush M, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Menon U, Milne RL, Monteiro AN, Murphy RA, Neuhausen SL, Nevanlinna H, Newman WG, Offit K, Park SK, James P, Peterlongo P, Peto J, Plaseska-Karanfilska D, Punie K, Radice P, Rashid MU, Rennert G, Romero A, Rosenberg EH, Saloustros E, Sandler DP, Schmidt MK, Schmutzler RK, Shu XO, Simard J, Southey MC, Stone J, Stoppa-Lyonnet D, Tamimi RM, Tapper WJ, Taylor JA, Teo SH, Teras LR, Terry MB, Thomassen M, Troester MA, Vachon CM, Vega A, Vreeswijk MPG, Wang Q, Wappenschmidt B, Weinberg CR, Wolk A, Zheng W, Feng B, Couch FJ, Spurdle AB, Easton DF, Goldgar DE, and Michailidou K
Subjects: Humans, Case-Control Studies, Female, Likelihood Functions, Genetic Variation, Penetrance, Genetic Testing methods, BRCA2 Protein genetics, Genetic Predisposition to Disease, BRCA1 Protein genetics, Breast Neoplasms genetics
Abstract: A large number of variants identified through clinical genetic testing in disease susceptibility genes, are of uncertain significance (VUS). Following the recommendations of the American College of Medical Genetics and Genomics (ACMG) and Association for Molecular Pathology (AMP), the frequency in case-control datasets (PS4 criterion), can inform their interpretation. We present a novel case-control likelihood ratio-based method that incorporates gene-specific age-related penetrance. We demonstrate the utility of this method in the analysis of simulated and real datasets. In the analyses of simulated data, the likelihood ratio method was more powerful compared to other methods. Likelihood ratios were calculated for a case-control dataset of BRCA1 and BRCA2 variants from the Breast Cancer Association Consortium (BCAC), and compared with logistic regression results. A larger number of variants reached evidence in favor of pathogenicity, and a substantial number of variants had evidence against pathogenicity - findings that would not have been reached using other case-control analysis methods. Our novel method provides greater power to classify rare variants compared to classical case-control methods. As an initiative from the ENIGMA Analytical Working Group, we provide user-friendly scripts and pre-formatted excel calculators for implementation of the method for rare variants in BRCA1 , BRCA2 and other high-risk genes with known penetrance.
Published: 2023
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5. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.

Author: Dixon-Suen SC, Lewis SJ, Martin RM, English DR, Boyle T, Giles GG, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Investigators A, Ahearn TU, Ambrosone CB, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Auvinen P, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brüning T, Buys SS, Camp NJ, Campa D, Canzian F, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Goldberg MS, Guénel P, Gündert M, Hahnen E, Haiman CA, Häberle L, Håkansson N, Hall P, Hamann U, Hart SN, Harvie M, Hillemanns P, Hollestelle A, Hooning MJ, Hoppe R, Hopper J, Howell A, Hunter DJ, Jakubowska A, Janni W, John EM, Jung A, Kaaks R, Keeman R, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Loibl S, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Menon U, Mulligan AM, Murphy RA, Collaborators N, Nevanlinna H, Nevelsteen I, Newman WG, Offit K, Olshan AF, Olsson H, Orr N, Patel A, Peto J, Plaseska-Karanfilska D, Presneau N, Rack B, Radice P, Rees-Punia E, Rennert G, Rennert HS, Romero A, Saloustros E, Sandler DP, Schmidt MK, Schmutzler RK, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tollenaar RAEM, Troester MA, Truong T, Untch M, Vachon CM, Joseph V, Wappenschmidt B, Weinberg CR, Wolk A, Yannoukakos D, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Milne RL, and Lynch BM
Subjects: Female, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Factors, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Exercise, Sedentary Behavior
Abstract: Objectives: Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics., Methods: We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105-377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (n snps =5) or sedentary time (n snps =6), or accelerometer-measured (n snps =1) or self-reported (n snps =5) vigorous physical activity., Results: Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger)., Conclusion: Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women., Competing Interests: Competing interests: MWB conducts research funded by Amgen, Novartis and Pfizer. PAF conducts research funded by Amgen, Novartis and Pfizer. He received honoraria from Roche, Novartis and Pfizer. AWK declares research funding to her institution from Myriad Genetics for an unrelated project (funding dates 2017-2019). SL declares grants and honoraria paid to her institution from Amgen, Novartis, Pfizer, Roche, and, outside the submitted work, grants and/or honoraria paid to her institution from AbbVie, Celgene, Seattle Genetics, PrIME/Medscape, Daiichi-Sankyo, Lilly, Samsung, BMS, Puma, Immunomedics, AstraZeneca, Pierre Fabre, Merck, GlaxoSmithKlein, EirGenix, and Bayer, and personal fees from Chugai; SL also has a patent EP14153692.0 pending. UM declares stock ownership in Abcodia Ltd. RAM has been a consultant for Pharmavite. No other authors have conflicts to declare., (© Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2022
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6. Rare germline copy number variants (CNVs) and breast cancer risk.

Author: Dennis J, Tyrer JP, Walker LC, Michailidou K, Dorling L, Bolla MK, Wang Q, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Freeman LEB, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brenner H, Castelao JE, Chang-Claude J, Chenevix-Trench G, Clarke CL, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Devilee P, Dörk T, Dossus L, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, Giles GG, González-Neira A, Guénel P, Hahnen E, Haiman CA, Hall P, Hollestelle A, Hoppe R, Hopper JL, Howell A, Jager A, Jakubowska A, John EM, Johnson N, Jones ME, Jung A, Kaaks R, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Kosma VM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Linet M, Ogrodniczak A, Mannermaa A, Manoukian S, Margolin S, Mavroudis D, Milne RL, Muranen TA, Murphy RA, Nevanlinna H, Olson JE, Olsson H, Park-Simon TW, Perou CM, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rennert G, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Shibli R, Smeets A, Soucy P, Southey MC, Swerdlow AJ, Tamimi RM, Taylor JA, Teras LR, Terry MB, Tomlinson I, Troester MA, Truong T, Vachon CM, Wendt C, Winqvist R, Wolk A, Yang XR, Zheng W, Ziogas A, Simard J, Dunning AM, Pharoah PDP, and Easton DF
Subjects: Case-Control Studies, Female, Humans, Risk Factors, Breast Neoplasms genetics, DNA Copy Number Variations, Genome, Human, Genome-Wide Association Study, Germ Cells
Abstract: Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P = 0.0008), ATM (P = 0.002) and BRCA2 (P = 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance., (© 2022. The Author(s).)
Published: 2022
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7. Common variants in breast cancer risk loci predispose to distinct tumor subtypes.

Author: Ahearn TU, Zhang H, Michailidou K, Milne RL, Bolla MK, Dennis J, Dunning AM, Lush M, Wang Q, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baten A, Becher H, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Brenner H, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Clarke CL, Collée JM, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dwek M, Eccles DM, Evans DG, Fasching PA, Figueroa J, Floris G, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Alnæs GIG, Grip M, Guénel P, Haiman CA, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Jakimovska M, Jakubowska A, John EM, Jones ME, Jung A, Kaaks R, Kauppila S, Keeman R, Khusnutdinova E, Kitahara CM, Ko YD, Koutros S, Kristensen VN, Krüger U, Kubelka-Sabit K, Kurian AW, Kyriacou K, Lambrechts D, Lee DG, Lindblom A, Linet M, Lissowska J, Llaneza A, Lo WY, MacInnis RJ, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, McLean C, Meindl A, Menon U, Nevanlinna H, Newman WG, Nodora J, Offit K, Olsson H, Orr N, Park-Simon TW, Patel AV, Peto J, Pita G, Plaseska-Karanfilska D, Prentice R, Punie K, Pylkäs K, Radice P, Rennert G, Romero A, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Schmutzler RK, Schoemaker MJ, Schöttker B, Sherman ME, Shu XO, Smichkoska S, Southey MC, Spinelli JJ, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Teras LR, Terry MB, Torres D, Troester MA, Vachon CM, van Deurzen CHM, van Veen EM, Wagner P, Weinberg CR, Wendt C, Wesseling J, Winqvist R, Wolk A, Yang XR, Zheng W, Couch FJ, Simard J, Kraft P, Easton DF, Pharoah PDP, Schmidt MK, García-Closas M, and Chatterjee N
Subjects: Biomarkers, Tumor genetics, Biomarkers, Tumor metabolism, Female, Genome-Wide Association Study, Humans, Receptor, ErbB-2 genetics, Receptor, ErbB-2 metabolism, Receptors, Estrogen genetics, Receptors, Estrogen metabolism, Receptors, Progesterone genetics, Receptors, Progesterone metabolism, Risk, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Breast Neoplasms metabolism
Abstract: Background: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear., Methods: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes., Results: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions., Conclusion: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction., (© 2021. The Author(s).)
Published: 2022
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8. Mendelian randomisation study of smoking exposure in relation to breast cancer risk.

Author: Park HA, Neumeyer S, Michailidou K, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baten A, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brucker SY, Burwinkel B, Campa D, Canzian F, Castelao JE, Chanock SJ, Chenevix-Trench G, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dwek M, Eccles DM, Eliassen AH, Engel C, Eriksson M, Evans DG, Fasching PA, Flyger H, Fritschi L, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grip M, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Han S, Harkness EF, Hart SN, He W, Heemskerk-Gerritsen BAM, Hopper JL, Hunter DJ, Jager A, Jakubowska A, John EM, Jung A, Kaaks R, Kapoor PM, Keeman R, Khusnutdinova E, Kitahara CM, Koppert LB, Koutros S, Kristensen VN, Kurian AW, Lacey J, Lambrechts D, Le Marchand L, Lo WY, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Martinez ME, Mavroudis D, Meindl A, Menon U, Milne RL, Muranen TA, Nevanlinna H, Newman WG, Nordestgaard BG, Offit K, Olshan AF, Olsson H, Park-Simon TW, Peterlongo P, Peto J, Plaseska-Karanfilska D, Presneau N, Radice P, Rennert G, Rennert HS, Romero A, Saloustros E, Sawyer EJ, Schmidt MK, Schmutzler RK, Schoemaker MJ, Schwentner L, Scott C, Shah M, Shu XO, Simard J, Smeets A, Southey MC, Spinelli JJ, Stevens V, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Tomlinson I, Troester MA, Truong T, Vachon CM, van Veen EM, Vijai J, Wang S, Wendt C, Winqvist R, Wolk A, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Zheng W, Kraft P, and Chang-Claude J
Subjects: Breast Neoplasms etiology, Breast Neoplasms genetics, Case-Control Studies, Cigarette Smoking adverse effects, Cigarette Smoking genetics, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Mendelian Randomization Analysis, Breast Neoplasms epidemiology, Cigarette Smoking epidemiology, Polymorphism, Single Nucleotide
Abstract: Background: Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk., Methods: We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy., Results: Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10 -2 ), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect., Conclusion: Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers., (© 2021. The Author(s).)
Published: 2021
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9. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.

Author: Morra A, Escala-Garcia M, Beesley J, Keeman R, Canisius S, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Auer PL, Augustinsson A, Beane Freeman LE, Becher H, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brenner H, Brüning T, Buys SS, Caan B, Campa D, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Cheng TD, Clarke CL, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Dörk T, Dossus L, Dunning AM, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Flyger H, Fritschi L, Gago-Dominguez M, García-Sáenz JA, Giles GG, Grip M, Guénel P, Gündert M, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Hart SN, Hartikainen JM, Hartmann A, He W, Hooning MJ, Hoppe R, Hopper JL, Howell A, Hunter DJ, Jager A, Jakubowska A, Janni W, John EM, Jung AY, Kaaks R, Keupers M, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kurian AW, Lacey JV, Lambrechts D, Le Marchand L, Lindblom A, Linet M, Luben RN, Lubiński J, Lush M, Mannermaa A, Manoochehri M, Margolin S, Martens JWM, Martinez ME, Mavroudis D, Michailidou K, Milne RL, Mulligan AM, Muranen TA, Nevanlinna H, Newman WG, Nielsen SF, Nordestgaard BG, Olshan AF, Olsson H, Orr N, Park-Simon TW, Patel AV, Peissel B, Peterlongo P, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Rack B, Rennert G, Rennert HS, Rhenius V, Romero A, Roylance R, Ruebner M, Saloustros E, Sawyer EJ, Schmutzler RK, Schneeweiss A, Scott C, Shah M, Smichkoska S, Southey MC, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Teras LR, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Truong T, Vachon CM, Wang Q, Hurson AN, Winqvist R, Wolk A, Ziogas A, Brauch H, García-Closas M, Pharoah PDP, Easton DF, Chenevix-Trench G, and Schmidt MK
Subjects: Breast Neoplasms drug therapy, Breast Neoplasms pathology, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Prognosis, Survival Analysis, Breast Neoplasms genetics, Breast Neoplasms mortality, Germ-Line Mutation
Abstract: Background: Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients., Methods: We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessed the probability of these associations being true positives via the Bayesian false discovery probability (BFDP < 0.15)., Results: Evidence of associations with breast cancer-specific survival was observed in three patient subgroups, with variant rs5934618 in patients with grade 3 tumors (15-year-hazard ratio (HR) [95% confidence interval (CI)] 1.32 [1.20, 1.45], P = 1.4E-08, BFDP = 0.01, per G allele); variant rs4679741 in patients with ER-positive tumors treated with endocrine therapy (15-year-HR [95% CI] 1.18 [1.11, 1.26], P = 1.6E-07, BFDP = 0.09, per G allele); variants rs1106333 (15-year-HR [95% CI] 1.68 [1.39,2.03], P = 5.6E-08, BFDP = 0.12, per A allele) and rs78754389 (5-year-HR [95% CI] 1.79 [1.46,2.20], P = 1.7E-08, BFDP = 0.07, per A allele), in patients with ER-negative tumors treated with chemotherapy., Conclusions: We found evidence of four loci associated with breast cancer-specific survival within three patient subgroups. There was limited evidence for the existence of associations in other patient subgroups. However, the power for many subgroups is limited due to the low number of events. Even so, our results suggest that the impact of common germline genetic variants on breast cancer-specific survival might be limited., (© 2021. The Author(s).)
Published: 2021
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10. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium.

Author: Morra A, Jung AY, Behrens S, Keeman R, Ahearn TU, Anton-Culver H, Arndt V, Augustinsson A, Auvinen PK, Beane Freeman LE, Becher H, Beckmann MW, Blomqvist C, Bojesen SE, Bolla MK, Brenner H, Briceno I, Brucker SY, Camp NJ, Campa D, Canzian F, Castelao JE, Chanock SJ, Choi JY, Clarke CL, Couch FJ, Cox A, Cross SS, Czene K, Dörk T, Dunning AM, Dwek M, Easton DF, Eccles DM, Egan KM, Evans DG, Fasching PA, Flyger H, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Giles GG, Grip M, Guénel P, Haiman CA, Håkansson N, Hall P, Hamann U, Han SN, Hart SN, Hartman M, Heyworth JS, Hoppe R, Hopper JL, Hunter DJ, Ito H, Jager A, Jakimovska M, Jakubowska A, Janni W, Kaaks R, Kang D, Kapoor PM, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Lacey JV, Lambrechts D, Le Marchand L, Li J, Lindblom A, Lubiński J, Lush M, Mannermaa A, Manoochehri M, Margolin S, Mariapun S, Matsuo K, Mavroudis D, Milne RL, Muranen TA, Newman WG, Noh DY, Nordestgaard BG, Obi N, Olshan AF, Olsson H, Park-Simon TW, Petridis C, Pharoah PDP, Plaseska-Karanfilska D, Presneau N, Rashid MU, Rennert G, Rennert HS, Rhenius V, Romero A, Saloustros E, Sawyer EJ, Schneeweiss A, Schwentner L, Scott C, Shah M, Shen CY, Shu XO, Southey MC, Stram DO, Tamimi RM, Tapper W, Tollenaar RAEM, Tomlinson I, Torres D, Troester MA, Truong T, Vachon CM, Wang Q, Wang SS, Williams JA, Winqvist R, Wolk A, Wu AH, Yoo KY, Yu JC, Zheng W, Ziogas A, Yang XR, Eliassen AH, Holmes MD, García-Closas M, Teo SH, Schmidt MK, and Chang-Claude J
Subjects: Adult, Aged, Cause of Death, Female, Humans, Middle Aged, Neoplasm Invasiveness pathology, Neoplasm Staging, Prospective Studies, Risk Factors, Survival Analysis, Breast Neoplasms mortality, Breast Neoplasms pathology, Life Style
Abstract: Background: It is not known whether modifiable lifestyle factors that predict survival after invasive breast cancer differ by subtype., Methods: We analyzed data for 121,435 women diagnosed with breast cancer from 67 studies in the Breast Cancer Association Consortium with 16,890 deaths (8,554 breast cancer specific) over 10 years. Cox regression was used to estimate associations between risk factors and 10-year all-cause mortality and breast cancer-specific mortality overall, by estrogen receptor (ER) status, and by intrinsic-like subtype., Results: There was no evidence of heterogeneous associations between risk factors and mortality by subtype ( P adj > 0.30). The strongest associations were between all-cause mortality and BMI ≥30 versus 18.5-25 kg/m 2 [HR (95% confidence interval (CI), 1.19 (1.06-1.34)]; current versus never smoking [1.37 (1.27-1.47)], high versus low physical activity [0.43 (0.21-0.86)], age ≥30 years versus <20 years at first pregnancy [0.79 (0.72-0.86)]; >0-<5 years versus ≥10 years since last full-term birth [1.31 (1.11-1.55)]; ever versus never use of oral contraceptives [0.91 (0.87-0.96)]; ever versus never use of menopausal hormone therapy, including current estrogen-progestin therapy [0.61 (0.54-0.69)]. Similar associations with breast cancer mortality were weaker; for example, 1.11 (1.02-1.21) for current versus never smoking., Conclusions: We confirm associations between modifiable lifestyle factors and 10-year all-cause mortality. There was no strong evidence that associations differed by ER status or intrinsic-like subtype., Impact: Given the large dataset and lack of evidence that associations between modifiable risk factors and 10-year mortality differed by subtype, these associations could be cautiously used in prognostication models to inform patient-centered care., (©2021 American Association for Cancer Research.)
Published: 2021
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11. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers.

Author: Johnson N, Maguire S, Morra A, Kapoor PM, Tomczyk K, Jones ME, Schoemaker MJ, Gilham C, Bolla MK, Wang Q, Dennis J, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baynes C, Freeman LEB, Beckmann MW, Benitez J, Bermisheva M, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Burwinkel B, Campa D, Canzian F, Castelao JE, Chanock SJ, Chenevix-Trench G, Clarke CL, Conroy DM, Couch FJ, Cox A, Cross SS, Czene K, Dörk T, Eliassen AH, Engel C, Evans DG, Fasching PA, Figueroa J, Floris G, Flyger H, Gago-Dominguez M, Gapstur SM, García-Closas M, Gaudet MM, Giles GG, Goldberg MS, González-Neira A, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hart SN, Hooning MJ, Hopper JL, Howell A, Hunter DJ, Jager A, Jakubowska A, John EM, Kaaks R, Keeman R, Khusnutdinova E, Kitahara CM, Kosma VM, Koutros S, Kraft P, Kristensen VN, Kurian AW, Lambrechts D, Le Marchand L, Linet M, Lubiński J, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Mavroudis D, Mayes R, Meindl A, Milne RL, Neuhausen SL, Nevanlinna H, Newman WG, Nielsen SF, Nordestgaard BG, Obi N, Olshan AF, Olson JE, Olsson H, Orban E, Park-Simon TW, Peterlongo P, Plaseska-Karanfilska D, Pylkäs K, Rennert G, Rennert HS, Ruddy KJ, Saloustros E, Sandler DP, Sawyer EJ, Schmutzler RK, Scott C, Shu XO, Simard J, Smichkoska S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tamimi RM, Taylor JA, Tollenaar RAEM, Tomlinson I, Troester MA, Truong T, Vachon CM, van Veen EM, Wang SS, Weinberg CR, Wendt C, Wildiers H, Winqvist R, Wolk A, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, Easton DF, Howie AF, Peto J, Dos-Santos-Silva I, Swerdlow AJ, Chang-Claude J, Schmidt MK, Orr N, and Fletcher O
Subjects: Alleles, Breast Neoplasms enzymology, Breast Neoplasms urine, Case-Control Studies, Cytochrome P-450 CYP3A metabolism, Estrone genetics, Estrone urine, Female, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Pregnanediol genetics, Pregnanediol urine, Premenopause, Breast Neoplasms genetics, Cytochrome P-450 CYP3A genetics, Estrone analogs & derivatives, Pregnanediol analogs & derivatives, Progesterone urine, Receptors, Estrogen metabolism, Receptors, Progesterone metabolism
Abstract: Background: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk., Methods: We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry., Results: For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10 -18 ); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10 -8 )., Conclusions: The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
Published: 2021
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12. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk.

Author: Kramer I, Hooning MJ, Mavaddat N, Hauptmann M, Keeman R, Steyerberg EW, Giardiello D, Antoniou AC, Pharoah PDP, Canisius S, Abu-Ful Z, Andrulis IL, Anton-Culver H, Aronson KJ, Augustinsson A, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Bremer M, Brucker SY, Burwinkel B, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Choi JY, Clarke CL, Collée JM, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Evans DG, Fasching PA, Flyger H, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Giles GG, Goldgar DE, González-Neira A, Haiman CA, Håkansson N, Hamann U, Hartman M, Heemskerk-Gerritsen BAM, Hollestelle A, Hopper JL, Hou MF, Howell A, Ito H, Jakimovska M, Jakubowska A, Janni W, John EM, Jung A, Kang D, Kets CM, Khusnutdinova E, Ko YD, Kristensen VN, Kurian AW, Kwong A, Lambrechts D, Le Marchand L, Li J, Lindblom A, Lubiński J, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Meindl A, Milne RL, Mulligan AM, Muranen TA, Neuhausen SL, Nevanlinna H, Newman WG, Olshan AF, Olson JE, Olsson H, Park-Simon TW, Peto J, Petridis C, Plaseska-Karanfilska D, Presneau N, Pylkäs K, Radice P, Rennert G, Romero A, Roylance R, Saloustros E, Sawyer EJ, Schmutzler RK, Schwentner L, Scott C, See MH, Shah M, Shen CY, Shu XO, Siesling S, Slager S, Sohn C, Southey MC, Spinelli JJ, Stone J, Tapper WJ, Tengström M, Teo SH, Terry MB, Tollenaar RAEM, Tomlinson I, Troester MA, Vachon CM, van Ongeval C, van Veen EM, Winqvist R, Wolk A, Zheng W, Ziogas A, Easton DF, Hall P, and Schmidt MK
Subjects: Adult, Aged, Asian People, Breast Neoplasms diagnosis, Breast Neoplasms ethnology, Breast Neoplasms therapy, Cohort Studies, Estrogen Receptor alpha genetics, Estrogen Receptor alpha metabolism, Female, Gene Expression, Genome-Wide Association Study, Humans, Middle Aged, Neoadjuvant Therapy methods, Neoplasms, Second Primary diagnosis, Neoplasms, Second Primary ethnology, Neoplasms, Second Primary therapy, Prognosis, Proportional Hazards Models, Receptor, ErbB-2 genetics, Receptor, ErbB-2 metabolism, Receptors, Progesterone genetics, Receptors, Progesterone metabolism, Risk Assessment, White People, Breast Neoplasms genetics, Genetic Predisposition to Disease, Genome, Human, Multifactorial Inheritance, Neoplasms, Second Primary genetics
Abstract: Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 germline variants (PRS 313 ) and contralateral breast cancer (CBC) risk. We included 56,068 women of European ancestry diagnosed with first invasive breast cancer from 1990 onward with follow-up from the Breast Cancer Association Consortium. Metachronous CBC risk (N = 1,027) according to the distribution of PRS 313 was quantified using Cox regression analyses. We assessed PRS 313 interaction with age at first diagnosis, family history, morphology, ER status, PR status, and HER2 status, and (neo)adjuvant therapy. In studies of Asian women, with limited follow-up, CBC risk associated with PRS 313 was assessed using logistic regression for 340 women with CBC compared with 12,133 women with unilateral breast cancer. Higher PRS 313 was associated with increased CBC risk: hazard ratio per standard deviation (SD) = 1.25 (95%CI = 1.18-1.33) for Europeans, and an OR per SD = 1.15 (95%CI = 1.02-1.29) for Asians. The absolute lifetime risks of CBC, accounting for death as competing risk, were 12.4% for European women at the 10 th percentile and 20.5% at the 90 th percentile of PRS 313 . We found no evidence of confounding by or interaction with individual characteristics, characteristics of the primary tumor, or treatment. The C-index for the PRS 313 alone was 0.563 (95%CI = 0.547-0.586). In conclusion, PRS 313 is an independent factor associated with CBC risk and can be incorporated into CBC risk prediction models to help improve stratification and optimize surveillance and treatment strategies., (Copyright © 2020 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2020
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13. Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.

Author: Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu-Full Z, Aittomäki K, Andrulis IL, Anton-Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo WY, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park-Simon TW, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Plaseska-Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu XO, Simard J, Singer CF, Skytte AB, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen CJ, van den Ouweland AMW, van Rensburg EJ, Vega A, Viel A, Vieiro-Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix-Trench G, Zheng W, Kraft P, and Jiang X
Subjects: Breast Neoplasms metabolism, Estrogens metabolism, Female, Genetic Predisposition to Disease, Genomics, Humans, Risk Assessment, Transcriptome, Vesicular Transport Proteins genetics, Breast Neoplasms genetics, Genome-Wide Association Study, Receptors, Estrogen metabolism
Abstract: Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer., (© 2020 The Authors. Genetic Epidemiology published by Wiley Periodicals, Inc.)
Published: 2020
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14. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.

Author: Liu J, Prager-van der Smissen WJC, Collée JM, Bolla MK, Wang Q, Michailidou K, Dennis J, Ahearn TU, Aittomäki K, Ambrosone CB, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Augustinsson A, Auvinen P, Becher H, Beckmann MW, Behrens S, Bermisheva M, Bernstein L, Bogdanova NV, Bogdanova-Markov N, Bojesen SE, Brauch H, Brenner H, Briceno I, Brucker SY, Brüning T, Burwinkel B, Cai Q, Cai H, Campa D, Canzian F, Castelao JE, Chang-Claude J, Chanock SJ, Choi JY, Christiaens M, Clarke CL, Couch FJ, Czene K, Daly MB, Devilee P, Dos-Santos-Silva I, Dwek M, Eccles DM, Eliassen AH, Fasching PA, Figueroa J, Flyger H, Fritschi L, Gago-Dominguez M, Gapstur SM, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, Goldgar DE, Guénel P, Haiman CA, Håkansson N, Hall P, Harrington PA, Hart SN, Hartman M, Hillemanns P, Hopper JL, Hou MF, Hunter DJ, Huo D, Ito H, Iwasaki M, Jakimovska M, Jakubowska A, John EM, Kaaks R, Kang D, Keeman R, Khusnutdinova E, Kim SW, Kraft P, Kristensen VN, Kurian AW, Le Marchand L, Li J, Lindblom A, Lophatananon A, Luben RN, Lubiński J, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Mariapun S, Matsuo K, Maurer T, Mavroudis D, Meindl A, Menon U, Milne RL, Muir K, Mulligan AM, Neuhausen SL, Nevanlinna H, Offit K, Olopade OI, Olson JE, Olsson H, Orr N, Park SK, Peterlongo P, Peto J, Plaseska-Karanfilska D, Presneau N, Rack B, Rau-Murthy R, Rennert G, Rennert HS, Rhenius V, Romero A, Ruebner M, Saloustros E, Schmutzler RK, Schneeweiss A, Scott C, Shah M, Shen CY, Shu XO, Simard J, Sohn C, Southey MC, Spinelli JJ, Tamimi RM, Tapper WJ, Teo SH, Terry MB, Torres D, Truong T, Untch M, Vachon CM, van Asperen CJ, Wolk A, Yamaji T, Zheng W, Ziogas A, Ziv E, Torres-Mejía G, Dörk T, Swerdlow AJ, Hamann U, Schmidt MK, Dunning AM, Pharoah PDP, Easton DF, Hooning MJ, Martens JWM, and Hollestelle A
Subjects: Female, Genetic Predisposition to Disease genetics, Genotyping Techniques, Humans, Middle Aged, Risk Factors, Breast Neoplasms genetics, Germ-Line Mutation genetics, Homeodomain Proteins genetics
Abstract: In breast cancer, high levels of homeobox protein Hox-B13 (HOXB13) have been associated with disease progression of ER-positive breast cancer patients and resistance to tamoxifen treatment. Since HOXB13 p.G84E is a prostate cancer risk allele, we evaluated the association between HOXB13 germline mutations and breast cancer risk in a previous study consisting of 3,270 familial non-BRCA1/2 breast cancer cases and 2,327 controls from the Netherlands. Although both recurrent HOXB13 mutations p.G84E and p.R217C were not associated with breast cancer risk, the risk estimation for p.R217C was not very precise. To provide more conclusive evidence regarding the role of HOXB13 in breast cancer susceptibility, we here evaluated the association between HOXB13 mutations and increased breast cancer risk within 81 studies of the international Breast Cancer Association Consortium containing 68,521 invasive breast cancer patients and 54,865 controls. Both HOXB13 p.G84E and p.R217C did not associate with the development of breast cancer in European women, neither in the overall analysis (OR = 1.035, 95% CI = 0.859-1.246, P = 0.718 and OR = 0.798, 95% CI = 0.482-1.322, P = 0.381 respectively), nor in specific high-risk subgroups or breast cancer subtypes. Thus, although involved in breast cancer progression, HOXB13 is not a material breast cancer susceptibility gene.
Published: 2020
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15. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

Author: Zhang H, Ahearn TU, Lecarpentier J, Barnes D, Beesley J, Qi G, Jiang X, O'Mara TA, Zhao N, Bolla MK, Dunning AM, Dennis J, Wang Q, Ful ZA, Aittomäki K, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Arun BK, Auer PL, Azzollini J, Barrowdale D, Becher H, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bialkowska K, Blanco A, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Bondavalli D, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brucker SY, Brüning T, Burwinkel B, Buys SS, Byers H, Caldés T, Caligo MA, Calvello M, Campa D, Castelao JE, Chang-Claude J, Chanock SJ, Christiaens M, Christiansen H, Chung WK, Claes KBM, Clarke CL, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Diez O, Domchek SM, Dörk T, Dwek M, Eccles DM, Ekici AB, Evans DG, Fasching PA, Figueroa J, Foretova L, Fostira F, Friedman E, Frost D, Gago-Dominguez M, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Häberle L, Hahnen E, Haiman CA, Hake CR, Hall P, Hamann U, Harkness EF, Heemskerk-Gerritsen BAM, Hillemanns P, Hogervorst FBL, Holleczek B, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huebner H, Hulick PJ, Imyanitov EN, Isaacs C, Izatt L, Jager A, Jakimovska M, Jakubowska A, James P, Janavicius R, Janni W, John EM, Jones ME, Jung A, Kaaks R, Kapoor PM, Karlan BY, Keeman R, Khan S, Khusnutdinova E, Kitahara CM, Ko YD, Konstantopoulou I, Koppert LB, Koutros S, Kristensen VN, Laenkholm AV, Lambrechts D, Larsson SC, Laurent-Puig P, Lazaro C, Lazarova E, Lejbkowicz F, Leslie G, Lesueur F, Lindblom A, Lissowska J, Lo WY, Loud JT, Lubinski J, Lukomska A, MacInnis RJ, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Matricardi L, McGuffog L, McLean C, Mebirouk N, Meindl A, Menon U, Miller A, Mingazheva E, Montagna M, Mulligan AM, Mulot C, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen FC, Nikitina-Zake L, Nodora J, Offit K, Olah E, Olopade OI, Olsson H, Orr N, Papi L, Papp J, Park-Simon TW, Parsons MT, Peissel B, Peixoto A, Peshkin B, Peterlongo P, Peto J, Phillips KA, Piedmonte M, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Prokofyeva D, Rack B, Radice P, Ramus SJ, Rantala J, Rashid MU, Rennert G, Rennert HS, Risch HA, Romero A, Rookus MA, Rübner M, Rüdiger T, Saloustros E, Sampson S, Sandler DP, Sawyer EJ, Scheuner MT, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schöttker B, Schürmann P, Senter L, Sharma P, Sherman ME, Shu XO, Singer CF, Smichkoska S, Soucy P, Southey MC, Spinelli JJ, Stone J, Stoppa-Lyonnet D, Swerdlow AJ, Szabo CI, Tamimi RM, Tapper WJ, Taylor JA, Teixeira MR, Terry M, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Troester MA, Truong T, Tung N, Untch M, Vachon CM, van den Ouweland AMW, van der Kolk LE, van Veen EM, vanRensburg EJ, Vega A, Wappenschmidt B, Weinberg CR, Weitzel JN, Wildiers H, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zheng W, Zorn KK, Milne RL, Kraft P, Simard J, Pharoah PDP, Michailidou K, Antoniou AC, Schmidt MK, Chenevix-Trench G, Easton DF, Chatterjee N, and García-Closas M
Subjects: BRCA1 Protein genetics, Breast Neoplasms pathology, Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Mutation, Triple Negative Breast Neoplasms genetics, Triple Negative Breast Neoplasms pathology, Breast Neoplasms genetics, Genome-Wide Association Study
Abstract: Breast cancer susceptibility variants frequently show heterogeneity in associations by tumor subtype 1-3 . To identify novel loci, we performed a genome-wide association study including 133,384 breast cancer cases and 113,789 controls, plus 18,908 BRCA1 mutation carriers (9,414 with breast cancer) of European ancestry, using both standard and novel methodologies that account for underlying tumor heterogeneity by estrogen receptor, progesterone receptor and human epidermal growth factor receptor 2 status and tumor grade. We identified 32 novel susceptibility loci (P < 5.0 × 10 -8 ), 15 of which showed evidence for associations with at least one tumor feature (false discovery rate < 0.05). Five loci showed associations (P < 0.05) in opposite directions between luminal and non-luminal subtypes. In silico analyses showed that these five loci contained cell-specific enhancers that differed between normal luminal and basal mammary cells. The genetic correlations between five intrinsic-like subtypes ranged from 0.35 to 0.80. The proportion of genome-wide chip heritability explained by all known susceptibility loci was 54.2% for luminal A-like disease and 37.6% for triple-negative disease. The odds ratios of polygenic risk scores, which included 330 variants, for the highest 1% of quantiles compared with middle quantiles were 5.63 and 3.02 for luminal A-like and triple-negative disease, respectively. These findings provide an improved understanding of genetic predisposition to breast cancer subtypes and will inform the development of subtype-specific polygenic risk scores.
Published: 2020
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16. Association of IL-10 (rs1800872) and IL-4R (rs1805010) polymorphisms with cervical intraepithelial lesions and cervical carcinomas

Author: Duvlis S, Dabeski D, Noveski P, Ivkovski L, and Plaseska-Karanfilska D
Subjects: Adult, Breast Neoplasms pathology, Female, Humans, Mexico, Polymorphism, Genetic, Breast Neoplasms genetics, Interleukin-10 genetics
Abstract: Purpose: Genetic characteristic of cytokines may influence cervical intraepithelial neoplasia (CIN) and cervical cancer (CCa) susceptibility. We analysed an association of IL-10-592 A/C, IL-4R I75VA/G polymorphisms with susceptibility to human papillomavirus (HPV) positive CIN and CCa., Methods: Using multiplex PCR- SNaPShot analysis, 134 cases (HPV positive CINs and CCa) and 113 controls (HPV negative NILM) were genotyped for these two cytokine variants., Results: Data analyzed using odds ratio (OR) and chisquare (x2) test showed that the frequency of CC of IL-10-592 genotype was significantly higher in cases (67.2%) than in controls (49.6%) [CC vs CA+AA; p=0.005, OR=2.08 (95%CI:1.24-3.49)] as well as the allelic frequency of major C allele (82.1%) in cases than in controls (72.6%) [p=0.01, OR=1.73 (95%CI: 1.13-2.66)]. Furthermore, AA genotype of IL-4RI75V had significantly lower frequency in CIN1 (25.0%) comparedwith CIN2+ group (30.8%) (p=0.03, OR=0.39, 95%CI: 0.14- 1.11) after the stratifications of the cases in low grade and high grade with CCa as separate groups., Conclusion: We concluded that IL-10-592 A/AA variant indicates a protective role in cervical cancer development and the GG genotype of IL-4RI75V conferred protection against progression of CIN1 to CIN2+ or CCa among women from Republic of North Macedonia.
Published: 2020

17. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.

Author: Fachal L, Aschard H, Beesley J, Barnes DR, Allen J, Kar S, Pooley KA, Dennis J, Michailidou K, Turman C, Soucy P, Lemaçon A, Lush M, Tyrer JP, Ghoussaini M, Moradi Marjaneh M, Jiang X, Agata S, Aittomäki K, Alonso MR, Andrulis IL, Anton-Culver H, Antonenkova NN, Arason A, Arndt V, Aronson KJ, Arun BK, Auber B, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barrowdale D, Beeghly-Fadiel A, Benitez J, Bermisheva M, Białkowska K, Blanco AM, Blomqvist C, Blot W, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Bosse K, Brauch H, Brenner H, Briceno I, Brock IW, Brooks-Wilson A, Brüning T, Burwinkel B, Buys SS, Cai Q, Caldés T, Caligo MA, Camp NJ, Campbell I, Canzian F, Carroll JS, Carter BD, Castelao JE, Chiquette J, Christiansen H, Chung WK, Claes KBM, Clarke CL, Collée JM, Cornelissen S, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, Devilee P, Diez O, Ding YC, Dite GS, Domchek SM, Dörk T, Dos-Santos-Silva I, Droit A, Dubois S, Dumont M, Duran M, Durcan L, Dwek M, Eccles DM, Engel C, Eriksson M, Evans DG, Fasching PA, Fletcher O, Floris G, Flyger H, Foretova L, Foulkes WD, Friedman E, Fritschi L, Frost D, Gabrielson M, Gago-Dominguez M, Gambino G, Ganz PA, Gapstur SM, Garber J, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Tibiletti MG, Greene MH, Grip M, Gronwald J, Grundy A, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hamann U, Harrington PA, Hartikainen JM, Hartman M, He W, Healey CS, Heemskerk-Gerritsen BAM, Heyworth J, Hillemanns P, Hogervorst FBL, Hollestelle A, Hooning MJ, Hopper JL, Howell A, Huang G, Hulick PJ, Imyanitov EN, Isaacs C, Iwasaki M, Jager A, Jakimovska M, Jakubowska A, James PA, Janavicius R, Jankowitz RC, John EM, Johnson N, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kang D, Kapoor PM, Karlan BY, Keeman R, Kerin MJ, Khusnutdinova E, Kiiski JI, Kirk J, Kitahara CM, Ko YD, Konstantopoulou I, Kosma VM, Koutros S, Kubelka-Sabit K, Kwong A, Kyriacou K, Laitman Y, Lambrechts D, Lee E, Leslie G, Lester J, Lesueur F, Lindblom A, Lo WY, Long J, Lophatananon A, Loud JT, Lubiński J, MacInnis RJ, Maishman T, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martinez ME, Matsuo K, Maurer T, Mavroudis D, Mayes R, McGuffog L, McLean C, Mebirouk N, Meindl A, Miller A, Miller N, Montagna M, Moreno F, Muir K, Mulligan AM, Muñoz-Garzon VM, Muranen TA, Narod SA, Nassir R, Nathanson KL, Neuhausen SL, Nevanlinna H, Neven P, Nielsen FC, Nikitina-Zake L, Norman A, Offit K, Olah E, Olopade OI, Olsson H, Orr N, Osorio A, Pankratz VS, Papp J, Park SK, Park-Simon TW, Parsons MT, Paul J, Pedersen IS, Peissel B, Peshkin B, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prajzendanc K, Prentice R, Presneau N, Prokofyeva D, Pujana MA, Pylkäs K, Radice P, Ramus SJ, Rantala J, Rau-Murthy R, Rennert G, Risch HA, Robson M, Romero A, Rossing M, Saloustros E, Sánchez-Herrero E, Sandler DP, Santamariña M, Saunders C, Sawyer EJ, Scheuner MT, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schöttker B, Schürmann P, Scott C, Scott RJ, Senter L, Seynaeve CM, Shah M, Sharma P, Shen CY, Shu XO, Singer CF, Slavin TP, Smichkoska S, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Stoppa-Lyonnet D, Sutter C, Swerdlow AJ, Tamimi RM, Tan YY, Tapper WJ, Taylor JA, Teixeira MR, Tengström M, Teo SH, Terry MB, Teulé A, Thomassen M, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Torres D, Torres-Mejía G, Troester MA, Truong T, Tung N, Tzardi M, Ulmer HU, Vachon CM, van Asperen CJ, van der Kolk LE, van Rensburg EJ, Vega A, Viel A, Vijai J, Vogel MJ, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wildiers H, Winqvist R, Wolk A, Wu AH, Yannoukakos D, Zhang Y, Zheng W, Hunter D, Pharoah PDP, Chang-Claude J, García-Closas M, Schmidt MK, Milne RL, Kristensen VN, French JD, Edwards SL, Antoniou AC, Chenevix-Trench G, Simard J, Easton DF, Kraft P, and Dunning AM
Subjects: Bayes Theorem, Female, Humans, Linkage Disequilibrium, Regulatory Sequences, Nucleic Acid, Risk Factors, Biomarkers, Tumor genetics, Breast Neoplasms genetics, Chromosome Mapping methods, Genetic Predisposition to Disease, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Quantitative Trait Loci
Abstract: Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.
Published: 2020
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18. Two truncating variants in FANCC and breast cancer risk.

Author: Dörk T, Peterlongo P, Mannermaa A, Bolla MK, Wang Q, Dennis J, Ahearn T, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Augustinsson A, Freeman LEB, Beckmann MW, Beeghly-Fadiel A, Behrens S, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Burwinkel B, Canzian F, Chan TL, Chang-Claude J, Chanock SJ, Choi JY, Christiansen H, Clarke CL, Couch FJ, Czene K, Daly MB, Dos-Santos-Silva I, Dwek M, Eccles DM, Ekici AB, Eriksson M, Evans DG, Fasching PA, Figueroa J, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, Gao C, Gapstur SM, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Goldberg MS, Goldgar DE, Guénel P, Haeberle L, Haiman CA, Håkansson N, Hall P, Hamann U, Hartman M, Hauke J, Hein A, Hillemanns P, Hogervorst FBL, Hooning MJ, Hopper JL, Howell T, Huo D, Ito H, Iwasaki M, Jakubowska A, Janni W, John EM, Jung A, Kaaks R, Kang D, Kapoor PM, Khusnutdinova E, Kim SW, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kwong A, Lambrechts D, Marchand LL, Li J, Lindström S, Linet M, Lo WY, Long J, Lophatananon A, Lubiński J, Manoochehri M, Manoukian S, Margolin S, Martinez E, Matsuo K, Mavroudis D, Meindl A, Menon U, Milne RL, Mohd Taib NA, Muir K, Mulligan AM, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Offit K, Olopade OI, Olshan AF, Olson JE, Olsson H, Park SK, Park-Simon TW, Peto J, Plaseska-Karanfilska D, Pohl-Rescigno E, Presneau N, Rack B, Radice P, Rashid MU, Rennert G, Rennert HS, Romero A, Ruebner M, Saloustros E, Schmidt MK, Schmutzler RK, Schneider MO, Schoemaker MJ, Scott C, Shen CY, Shu XO, Simard J, Slager S, Smichkoska S, Southey MC, Spinelli JJ, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper WJ, Teo SH, Terry MB, Toland AE, Tollenaar RAEM, Torres D, Torres-Mejía G, Troester MA, Truong T, Tsugane S, Untch M, Vachon CM, Ouweland AMWVD, Veen EMV, Vijai J, Wendt C, Wolk A, Yu JC, Zheng W, Ziogas A, Ziv E, Dunning AM, Pharoah PDP, Schindler D, Devilee P, and Easton DF
Subjects: BRCA1 Protein genetics, BRCA2 Protein genetics, Breast Neoplasms metabolism, Case-Control Studies, Fanconi Anemia genetics, Fanconi Anemia Complementation Group C Protein metabolism, Female, Genetic Predisposition to Disease, Genetic Variation, Humans, Breast Neoplasms genetics, Fanconi Anemia Complementation Group C Protein genetics, Sequence Deletion
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44-1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Published: 2019
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19. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer.

Author: Ferreira MA, Gamazon ER, Al-Ejeh F, Aittomäki K, Andrulis IL, Anton-Culver H, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Azzollini J, Balmaña J, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blomqvist C, Bogdanova NV, Bojesen SE, Bolla MK, Borg A, Brauch H, Brenner H, Broeks A, Burwinkel B, Caldés T, Caligo MA, Campa D, Campbell I, Canzian F, Carter J, Carter BD, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, de la Hoya M, Dennis J, Devilee P, Diez O, Dörk T, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Friedman E, Frost D, Gabrielson M, Gago-Dominguez M, Ganz PA, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hoover RN, Hopper JL, Hulick PJ, Humphreys K, Imyanitov EN, Isaacs C, Jakimovska M, Jakubowska A, James PA, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Karlan BY, Khusnutdinova E, Kiiski JI, Ko YD, Jones ME, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leslie G, Lester J, Lesueur F, Lindström S, Long J, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Margolin S, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina-Zake L, Nussbaum RL, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park-Simon TW, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Pharoah PDP, Plaseska-Karanfilska D, Poppe B, Presneau N, Radice P, Rantala J, Rennert G, Risch HA, Saloustros E, Sanden K, Sawyer EJ, Schmidt MK, Schmutzler RK, Sharma P, Shu XO, Simard J, Singer CF, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Torres D, Truong T, Tung N, Vachon CM, van Asperen CJ, van den Ouweland AMW, van Rensburg EJ, Vega A, Viel A, Wang Q, Wappenschmidt B, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Kraft P, Antoniou AC, Zheng W, Easton DF, Milne RL, Beesley J, and Chenevix-Trench G
Subjects: Female, Gene Expression Profiling, Genome-Wide Association Study, Humans, Quantitative Trait Loci, Breast Neoplasms genetics, Genetic Predisposition to Disease
Abstract: Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.
Published: 2019
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20. Shared heritability and functional enrichment across six solid cancers.

Author: Jiang X, Finucane HK, Schumacher FR, Schmit SL, Tyrer JP, Han Y, Michailidou K, Lesseur C, Kuchenbaecker KB, Dennis J, Conti DV, Casey G, Gaudet MM, Huyghe JR, Albanes D, Aldrich MC, Andrew AS, Andrulis IL, Anton-Culver H, Antoniou AC, Antonenkova NN, Arnold SM, Aronson KJ, Arun BK, Bandera EV, Barkardottir RB, Barnes DR, Batra J, Beckmann MW, Benitez J, Benlloch S, Berchuck A, Berndt SI, Bickeböller H, Bien SA, Blomqvist C, Boccia S, Bogdanova NV, Bojesen SE, Bolla MK, Brauch H, Brenner H, Brenton JD, Brook MN, Brunet J, Brunnström H, Buchanan DD, Burwinkel B, Butzow R, Cadoni G, Caldés T, Caligo MA, Campbell I, Campbell PT, Cancel-Tassin G, Cannon-Albright L, Campa D, Caporaso N, Carvalho AL, Chan AT, Chang-Claude J, Chanock SJ, Chen C, Christiani DC, Claes KBM, Claessens F, Clements J, Collée JM, Correa MC, Couch FJ, Cox A, Cunningham JM, Cybulski C, Czene K, Daly MB, deFazio A, Devilee P, Diez O, Gago-Dominguez M, Donovan JL, Dörk T, Duell EJ, Dunning AM, Dwek M, Eccles DM, Edlund CK, Edwards DRV, Ellberg C, Evans DG, Fasching PA, Ferris RL, Liloglou T, Figueiredo JC, Fletcher O, Fortner RT, Fostira F, Franceschi S, Friedman E, Gallinger SJ, Ganz PA, Garber J, García-Sáenz JA, Gayther SA, Giles GG, Godwin AK, Goldberg MS, Goldgar DE, Goode EL, Goodman MT, Goodman G, Grankvist K, Greene MH, Gronberg H, Gronwald J, Guénel P, Håkansson N, Hall P, Hamann U, Hamdy FC, Hamilton RJ, Hampe J, Haugen A, Heitz F, Herrero R, Hillemanns P, Hoffmeister M, Høgdall E, Hong YC, Hopper JL, Houlston R, Hulick PJ, Hunter DJ, Huntsman DG, Idos G, Imyanitov EN, Ingles SA, Isaacs C, Jakubowska A, James P, Jenkins MA, Johansson M, Johansson M, John EM, Joshi AD, Kaneva R, Karlan BY, Kelemen LE, Kühl T, Khaw KT, Khusnutdinova E, Kibel AS, Kiemeney LA, Kim J, Kjaer SK, Knight JA, Kogevinas M, Kote-Jarai Z, Koutros S, Kristensen VN, Kupryjanczyk J, Lacko M, Lam S, Lambrechts D, Landi MT, Lazarus P, Le ND, Lee E, Lejbkowicz F, Lenz HJ, Leslie G, Lessel D, Lester J, Levine DA, Li L, Li CI, Lindblom A, Lindor NM, Liu G, Loupakis F, Lubiński J, Maehle L, Maier C, Mannermaa A, Marchand LL, Margolin S, May T, McGuffog L, Meindl A, Middha P, Miller A, Milne RL, MacInnis RJ, Modugno F, Montagna M, Moreno V, Moysich KB, Mucci L, Muir K, Mulligan AM, Nathanson KL, Neal DE, Ness AR, Neuhausen SL, Nevanlinna H, Newcomb PA, Newcomb LF, Nielsen FC, Nikitina-Zake L, Nordestgaard BG, Nussbaum RL, Offit K, Olah E, Olama AAA, Olopade OI, Olshan AF, Olsson H, Osorio A, Pandha H, Park JY, Pashayan N, Parsons MT, Pejovic T, Penney KL, Peters WHM, Phelan CM, Phipps AI, Plaseska-Karanfilska D, Pring M, Prokofyeva D, Radice P, Stefansson K, Ramus SJ, Raskin L, Rennert G, Rennert HS, van Rensburg EJ, Riggan MJ, Risch HA, Risch A, Roobol MJ, Rosenstein BS, Rossing MA, De Ruyck K, Saloustros E, Sandler DP, Sawyer EJ, Schabath MB, Schleutker J, Schmidt MK, Setiawan VW, Shen H, Siegel EM, Sieh W, Singer CF, Slattery ML, Sorensen KD, Southey MC, Spurdle AB, Stanford JL, Stevens VL, Stintzing S, Stone J, Sundfeldt K, Sutphen R, Swerdlow AJ, Tajara EH, Tangen CM, Tardon A, Taylor JA, Teare MD, Teixeira MR, Terry MB, Terry KL, Thibodeau SN, Thomassen M, Bjørge L, Tischkowitz M, Toland AE, Torres D, Townsend PA, Travis RC, Tung N, Tworoger SS, Ulrich CM, Usmani N, Vachon CM, Van Nieuwenhuysen E, Vega A, Aguado-Barrera ME, Wang Q, Webb PM, Weinberg CR, Weinstein S, Weissler MC, Weitzel JN, West CML, White E, Whittemore AS, Wichmann HE, Wiklund F, Winqvist R, Wolk A, Woll P, Woods M, Wu AH, Wu X, Yannoukakos D, Zheng W, Zienolddiny S, Ziogas A, Zorn KK, Lane JM, Saxena R, Thomas D, Hung RJ, Diergaarde B, McKay J, Peters U, Hsu L, García-Closas M, Eeles RA, Chenevix-Trench G, Brennan PJ, Haiman CA, Simard J, Easton DF, Gruber SB, Pharoah PDP, Price AL, Pasaniuc B, Amos CI, Kraft P, and Lindström S
Subjects: Breast Neoplasms diagnosis, Breast Neoplasms ethnology, Breast Neoplasms pathology, Case-Control Studies, Colorectal Neoplasms diagnosis, Colorectal Neoplasms ethnology, Colorectal Neoplasms pathology, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Head and Neck Neoplasms diagnosis, Head and Neck Neoplasms ethnology, Head and Neck Neoplasms pathology, Humans, Lung Neoplasms diagnosis, Lung Neoplasms ethnology, Lung Neoplasms pathology, Male, Mental Disorders ethnology, Mental Disorders genetics, Mental Disorders physiopathology, Neoplasm Proteins genetics, Ovarian Neoplasms diagnosis, Ovarian Neoplasms ethnology, Ovarian Neoplasms pathology, Phenotype, Polymorphism, Single Nucleotide, Prostatic Neoplasms diagnosis, Prostatic Neoplasms ethnology, Prostatic Neoplasms pathology, Smoking ethnology, Smoking genetics, Smoking physiopathology, White People, Breast Neoplasms genetics, Colorectal Neoplasms genetics, Head and Neck Neoplasms genetics, Inheritance Patterns, Lung Neoplasms genetics, Ovarian Neoplasms genetics, Prostatic Neoplasms genetics
Abstract: Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, here we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (r g = 0.57, p = 4.6 × 10 -8 ), breast and ovarian cancer (r g = 0.24, p = 7 × 10 -5 ), breast and lung cancer (r g = 0.18, p =1.5 × 10 -6 ) and breast and colorectal cancer (r g = 0.15, p = 1.1 × 10 -4 ). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.
Published: 2019
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21. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author: Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, Yang X, Adank MA, Ahearn T, Aittomäki K, Allen J, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Auer PL, Auvinen P, Barrdahl M, Beane Freeman LE, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Bremer M, Brenner H, Brentnall A, Brock IW, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Campa D, Carter BD, Castelao JE, Chanock SJ, Chlebowski R, Christiansen H, Clarke CL, Collée JM, Cordina-Duverger E, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Försti A, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Gilyazova IR, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hankinson SE, Harkness EF, Hart SN, He W, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Jakimovska M, Jakubowska A, Janni W, John EM, Johnson N, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kaczmarek K, Kataja V, Keeman R, Kerin MJ, Khusnutdinova E, Kiiski JI, Knight JA, Ko YD, Kosma VM, Koutros S, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Lilyquist J, Lindblom A, Lindström S, Lissowska J, Lo WY, Loibl S, Long J, Lubiński J, Lux MP, MacInnis RJ, Maishman T, Makalic E, Maleva Kostovska I, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Martinez ME, Mavroudis D, McLean C, Meindl A, Menon U, Middha P, Miller N, Moreno F, Mulligan AM, Mulot C, Muñoz-Garzon VM, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, Offit K, Olson JE, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Peto J, Pinchev M, Plaseska-Karanfilska D, Polley EC, Prentice R, Presneau N, Prokofyeva D, Purrington K, Pylkäs K, Rack B, Radice P, Rau-Murthy R, Rennert G, Rennert HS, Rhenius V, Robson M, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seynaeve C, Shah M, Sherman ME, Shrubsole MJ, Shu XO, Slager S, Smeets A, Sohn C, Soucy P, Southey MC, Spinelli JJ, Stegmaier C, Stone J, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Truong T, Tzardi M, Ulmer HU, Untch M, Vachon CM, van Veen EM, Vijai J, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zhang Y, Zheng W, Ziogas A, Dunning AM, Thompson DJ, Chenevix-Trench G, Chang-Claude J, Schmidt MK, Hall P, Milne RL, Pharoah PDP, Antoniou AC, Chatterjee N, Kraft P, García-Closas M, Simard J, and Easton DF
Subjects: Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms diagnosis, Breast Neoplasms prevention & control, Female, Humans, Medical History Taking, Middle Aged, Polymorphism, Single Nucleotide genetics, Receptors, Estrogen metabolism, Reproducibility of Results, Risk Assessment, Breast Neoplasms classification, Breast Neoplasms genetics, Genetic Predisposition to Disease, Multifactorial Inheritance genetics
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2019
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22. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.

Author: Wu L, Shi W, Long J, Guo X, Michailidou K, Beesley J, Bolla MK, Shu XO, Lu Y, Cai Q, Al-Ejeh F, Rozali E, Wang Q, Dennis J, Li B, Zeng C, Feng H, Gusev A, Barfield RT, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Barrdahl M, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Brauch H, Brenner H, Brinton L, Broberg P, Brucker SY, Burwinkel B, Caldés T, Canzian F, Carter BD, Castelao JE, Chang-Claude J, Chen X, Cheng TD, Christiansen H, Clarke CL, Collée M, Cornelissen S, Couch FJ, Cox D, Cox A, Cross SS, Cunningham JM, Czene K, Daly MB, Devilee P, Doheny KF, Dörk T, Dos-Santos-Silva I, Dumont M, Dwek M, Eccles DM, Eilber U, Eliassen AH, Engel C, Eriksson M, Fachal L, Fasching PA, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Closas M, Gaudet MM, Ghoussaini M, Giles GG, Goldberg MS, Goldgar DE, González-Neira A, Guénel P, Hahnen E, Haiman CA, Håkansson N, Hall P, Hallberg E, Hamann U, Harrington P, Hein A, Hicks B, Hillemanns P, Hollestelle A, Hoover RN, Hopper JL, Huang G, Humphreys K, Hunter DJ, Jakubowska A, Janni W, John EM, Johnson N, Jones K, Jones ME, Jung A, Kaaks R, Kerin MJ, Khusnutdinova E, Kosma VM, Kristensen VN, Lambrechts D, Le Marchand L, Li J, Lindström S, Lissowska J, Lo WY, Loibl S, Lubinski J, Luccarini C, Lux MP, MacInnis RJ, Maishman T, Kostovska IM, Mannermaa A, Manson JE, Margolin S, Mavroudis D, Meijers-Heijboer H, Meindl A, Menon U, Meyer J, Mulligan AM, Neuhausen SL, Nevanlinna H, Neven P, Nielsen SF, Nordestgaard BG, Olopade OI, Olson JE, Olsson H, Peterlongo P, Peto J, Plaseska-Karanfilska D, Prentice R, Presneau N, Pylkäs K, Rack B, Radice P, Rahman N, Rennert G, Rennert HS, Rhenius V, Romero A, Romm J, Rudolph A, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Schneeweiss A, Scott RJ, Scott CG, Seal S, Shah M, Shrubsole MJ, Smeets A, Southey MC, Spinelli JJ, Stone J, Surowy H, Swerdlow AJ, Tamimi RM, Tapper W, Taylor JA, Terry MB, Tessier DC, Thomas A, Thöne K, Tollenaar RAEM, Torres D, Truong T, Untch M, Vachon C, Van Den Berg D, Vincent D, Waisfisz Q, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett WC, Winqvist R, Wolk A, Xia L, Yang XR, Ziogas A, Ziv E, Dunning AM, Pharoah PDP, Simard J, Milne RL, Edwards SL, Kraft P, Easton DF, Chenevix-Trench G, and Zheng W
Subjects: Case-Control Studies, Female, Gene Expression, Genetic Predisposition to Disease, Genome-Wide Association Study methods, Humans, Polymorphism, Single Nucleotide, Risk, Transcriptome, Breast Neoplasms genetics
Abstract: The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10 -6 , including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.
Published: 2018
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23. BRCA1 and BRCA2 germline variants in breast cancer patients from the Republic of Macedonia.

Author: Jakimovska M, Maleva Kostovska I, Popovska-Jankovic K, Kubelka-Sabit K, Karadjozov M, Stojanovska L, Arsovski A, Smichkoska S, Lazarova E, Jakimovska Dimitrovska M, and Plaseska-Karanfilska D
Subjects: Adult, Breast Neoplasms epidemiology, Breast Neoplasms pathology, Female, Germ-Line Mutation genetics, Humans, Middle Aged, Republic of North Macedonia epidemiology, BRCA1 Protein genetics, BRCA2 Protein genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease
Abstract: Purpose: We aimed to establish the spectrum of BRCA1/2 mutations among the breast cancer (BC) patients from the Republic of Macedonia., Methods: We used targeted next-generation sequencing (NGS), Sanger DNA sequencing, and multiplex ligation probe amplification analysis (MLPA) to search for point mutations and deletions/duplications involving BRCA1 and BRCA2-coding regions., Results: We have analyzed a total of 313 BC patients, enriched for family history of cancer, early age of onset and bilateral and/or triple negative (TN) BC. A total of 26 pathogenic mutations were observed in 49 unrelated BC patients (49/313, 15.7%). BRCA2 mutations (27/49, 55.1%) were more common than BRCA1 mutations (22/49, 44.9%). We identified five novel point mutations, one in BRCA1 (c.4352_4356delA) and four in BRCA2 (c.151G>T, c.4707_4708delCA, c.7811_7814delTGTG, and c.9304_9305delG), as well as two novel deletions involving parts of the BRCA1 gene (c.81-?_593+?del and c.5470-?_5530+?del). The most common mutations were c.181T>G, c.5266dupC, and c.3700_3704del5 in BRCA1 and c.7879A>T, c.8317_8330del14 and c.5722_5723delCT in BRCA2 gene. Thus far, BRCA2 c.7879A>T and c.8317_8330del14 mutations have been described in several isolated cases; however, our study is the first one showing that they have a founder effect among Macedonian population. Nine recurrent mutations account for 65.3% of all of the detected mutations allowing for implementation of a fast first-step BRCA1/2 mutational screening strategy in our country., Conclusion: This study provides a comprehensive view of known and novel BRCA1/2 mutations in BC patients from the Republic of Macedonia and contributes to the global spectrum of BRCA1/2 mutations in breast cancer.
Published: 2018
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24. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

Author: Milne RL, Kuchenbaecker KB, Michailidou K, Beesley J, Kar S, Lindström S, Hui S, Lemaçon A, Soucy P, Dennis J, Jiang X, Rostamianfar A, Finucane H, Bolla MK, McGuffog L, Wang Q, Aalfs CM, Adams M, Adlard J, Agata S, Ahmed S, Ahsan H, Aittomäki K, Al-Ejeh F, Allen J, Ambrosone CB, Amos CI, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Arnold N, Aronson KJ, Auber B, Auer PL, Ausems MGEM, Azzollini J, Bacot F, Balmaña J, Barile M, Barjhoux L, Barkardottir RB, Barrdahl M, Barnes D, Barrowdale D, Baynes C, Beckmann MW, Benitez J, Bermisheva M, Bernstein L, Bignon YJ, Blazer KR, Blok MJ, Blomqvist C, Blot W, Bobolis K, Boeckx B, Bogdanova NV, Bojesen A, Bojesen SE, Bonanni B, Børresen-Dale AL, Bozsik A, Bradbury AR, Brand JS, Brauch H, Brenner H, Bressac-de Paillerets B, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Brunet J, Brüning T, Burwinkel B, Buys SS, Byun J, Cai Q, Caldés T, Caligo MA, Campbell I, Canzian F, Caron O, Carracedo A, Carter BD, Castelao JE, Castera L, Caux-Moncoutier V, Chan SB, Chang-Claude J, Chanock SJ, Chen X, Cheng TD, Chiquette J, Christiansen H, Claes KBM, Clarke CL, Conner T, Conroy DM, Cook J, Cordina-Duverger E, Cornelissen S, Coupier I, Cox A, Cox DG, Cross SS, Cuk K, Cunningham JM, Czene K, Daly MB, Damiola F, Darabi H, Davidson R, De Leeneer K, Devilee P, Dicks E, Diez O, Ding YC, Ditsch N, Doheny KF, Domchek SM, Dorfling CM, Dörk T, Dos-Santos-Silva I, Dubois S, Dugué PA, Dumont M, Dunning AM, Durcan L, Dwek M, Dworniczak B, Eccles D, Eeles R, Ehrencrona H, Eilber U, Ejlertsen B, Ekici AB, Eliassen AH, Engel C, Eriksson M, Fachal L, Faivre L, Fasching PA, Faust U, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Foulkes WD, Friedman E, Fritschi L, Frost D, Gabrielson M, Gaddam P, Gammon MD, Ganz PA, Gapstur SM, Garber J, Garcia-Barberan V, García-Sáenz JA, Gaudet MM, Gauthier-Villars M, Gehrig A, Georgoulias V, Gerdes AM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Goodfellow P, Greene MH, Alnæs GIG, Grip M, Gronwald J, Grundy A, Gschwantler-Kaulich D, Guénel P, Guo Q, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hallberg E, Hamann U, Hamel N, Hankinson S, Hansen TVO, Harrington P, Hart SN, Hartikainen JM, Healey CS, Hein A, Helbig S, Henderson A, Heyworth J, Hicks B, Hillemanns P, Hodgson S, Hogervorst FB, Hollestelle A, Hooning MJ, Hoover B, Hopper JL, Hu C, Huang G, Hulick PJ, Humphreys K, Hunter DJ, Imyanitov EN, Isaacs C, Iwasaki M, Izatt L, Jakubowska A, James P, Janavicius R, Janni W, Jensen UB, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kast K, Keeman R, Kerin MJ, Kets CM, Keupers M, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Konstantopoulou I, Kosma VM, Kristensen VN, Kruse TA, Kwong A, Lænkholm AV, Laitman Y, Lalloo F, Lambrechts D, Landsman K, Lasset C, Lazaro C, Le Marchand L, Lecarpentier J, Lee A, Lee E, Lee JW, Lee MH, Lejbkowicz F, Lesueur F, Li J, Lilyquist J, Lincoln A, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Loud JT, Lubinski J, Luccarini C, Lush M, MacInnis RJ, Maishman T, Makalic E, Kostovska IM, Malone KE, Manoukian S, Manson JE, Margolin S, Martens JWM, Martinez ME, Matsuo K, Mavroudis D, Mazoyer S, McLean C, Meijers-Heijboer H, Menéndez P, Meyer J, Miao H, Miller A, Miller N, Mitchell G, Montagna M, Muir K, Mulligan AM, Mulot C, Nadesan S, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Niederacher D, Nielsen SF, Nordestgaard BG, Norman A, Nussbaum RL, Olah E, Olopade OI, Olson JE, Olswold C, Ong KR, Oosterwijk JC, Orr N, Osorio A, Pankratz VS, Papi L, Park-Simon TW, Paulsson-Karlsson Y, Lloyd R, Pedersen IS, Peissel B, Peixoto A, Perez JIA, Peterlongo P, Peto J, Pfeiler G, Phelan CM, Pinchev M, Plaseska-Karanfilska D, Poppe B, Porteous ME, Prentice R, Presneau N, Prokofieva D, Pugh E, Pujana MA, Pylkäs K, Rack B, Radice P, Rahman N, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rennert HS, Rhenius V, Rhiem K, Richardson A, Rodriguez GC, Romero A, Romm J, Rookus MA, Rudolph A, Ruediger T, Saloustros E, Sanders J, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seal S, Senter L, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng X, Shimelis H, Shrubsole MJ, Shu XO, Side LE, Singer CF, Sohn C, Southey MC, Spinelli JJ, Spurdle AB, Stegmaier C, Stoppa-Lyonnet D, Sukiennicki G, Surowy H, Sutter C, Swerdlow A, Szabo CI, Tamimi RM, Tan YY, Taylor JA, Tejada MI, Tengström M, Teo SH, Terry MB, Tessier DC, Teulé A, Thöne K, Thull DL, Tibiletti MG, Tihomirova L, Tischkowitz M, Toland AE, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Tranchant M, Truong T, Tucker K, Tung N, Tyrer J, Ulmer HU, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van Rensburg EJ, Varesco L, Varon-Mateeva R, Vega A, Viel A, Vijai J, Vincent D, Vollenweider J, Walker L, Wang Z, Wang-Gohrke S, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Wesseling J, Whittemore AS, Wijnen JT, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yang XR, Yannoukakos D, Zaffaroni D, Zheng W, Zhu B, Ziogas A, Ziv E, Zorn KK, Gago-Dominguez M, Mannermaa A, Olsson H, Teixeira MR, Stone J, Offit K, Ottini L, Park SK, Thomassen M, Hall P, Meindl A, Schmutzler RK, Droit A, Bader GD, Pharoah PDP, Couch FJ, Easton DF, Kraft P, Chenevix-Trench G, García-Closas M, Schmidt MK, Antoniou AC, and Simard J
Subjects: Breast Neoplasms ethnology, Breast Neoplasms metabolism, Female, Genetic Predisposition to Disease ethnology, Genome-Wide Association Study methods, Heterozygote, Humans, Receptors, Estrogen metabolism, Risk Factors, White People genetics, BRCA1 Protein genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease genetics, Mutation, Polymorphism, Single Nucleotide
Abstract: Most common breast cancer susceptibility variants have been identified through genome-wide association studies (GWAS) of predominantly estrogen receptor (ER)-positive disease. We conducted a GWAS using 21,468 ER-negative cases and 100,594 controls combined with 18,908 BRCA1 mutation carriers (9,414 with breast cancer), all of European origin. We identified independent associations at P < 5 × 10 -8 with ten variants at nine new loci. At P < 0.05, we replicated associations with 10 of 11 variants previously reported in ER-negative disease or BRCA1 mutation carrier GWAS and observed consistent associations with ER-negative disease for 105 susceptibility variants identified by other studies. These 125 variants explain approximately 16% of the familial risk of this breast cancer subtype. There was high genetic correlation (0.72) between risk of ER-negative breast cancer and breast cancer risk for BRCA1 mutation carriers. These findings may lead to improved risk prediction and inform further fine-mapping and functional work to better understand the biological basis of ER-negative breast cancer.
Published: 2017
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25. Association analysis identifies 65 new breast cancer risk loci.

Author: Michailidou K, Lindström S, Dennis J, Beesley J, Hui S, Kar S, Lemaçon A, Soucy P, Glubb D, Rostamianfar A, Bolla MK, Wang Q, Tyrer J, Dicks E, Lee A, Wang Z, Allen J, Keeman R, Eilber U, French JD, Qing Chen X, Fachal L, McCue K, McCart Reed AE, Ghoussaini M, Carroll JS, Jiang X, Finucane H, Adams M, Adank MA, Ahsan H, Aittomäki K, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Arun B, Auer PL, Bacot F, Barrdahl M, Baynes C, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brand JS, Brauch H, Brennan P, Brenner H, Brinton L, Broberg P, Brock IW, Broeks A, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Butterbach K, Cai Q, Cai H, Caldés T, Canzian F, Carracedo A, Carter BD, Castelao JE, Chan TL, David Cheng TY, Seng Chia K, Choi JY, Christiansen H, Clarke CL, Collée M, Conroy DM, Cordina-Duverger E, Cornelissen S, Cox DG, Cox A, Cross SS, Cunningham JM, Czene K, Daly MB, Devilee P, Doheny KF, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Elvira M, Engel C, Eriksson M, Fasching PA, Figueroa J, Flesch-Janys D, Fletcher O, Flyger H, Fritschi L, Gaborieau V, Gabrielson M, Gago-Dominguez M, Gao YT, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hamel N, Hankinson S, Harrington P, Hart SN, Hartikainen JM, Hartman M, Hein A, Heyworth J, Hicks B, Hillemanns P, Ho DN, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Hou MF, Hsiung CN, Huang G, Humphreys K, Ishiguro J, Ito H, Iwasaki M, Iwata H, Jakubowska A, Janni W, John EM, Johnson N, Jones K, Jones M, Jukkola-Vuorinen A, Kaaks R, Kabisch M, Kaczmarek K, Kang D, Kasuga Y, Kerin MJ, Khan S, Khusnutdinova E, Kiiski JI, Kim SW, Knight JA, Kosma VM, Kristensen VN, Krüger U, Kwong A, Lambrechts D, Le Marchand L, Lee E, Lee MH, Lee JW, Neng Lee C, Lejbkowicz F, Li J, Lilyquist J, Lindblom A, Lissowska J, Lo WY, Loibl S, Long J, Lophatananon A, Lubinski J, Luccarini C, Lux MP, Ma ESK, MacInnis RJ, Maishman T, Makalic E, Malone KE, Kostovska IM, Mannermaa A, Manoukian S, Manson JE, Margolin S, Mariapun S, Martinez ME, Matsuo K, Mavroudis D, McKay J, McLean C, Meijers-Heijboer H, Meindl A, Menéndez P, Menon U, Meyer J, Miao H, Miller N, Taib NAM, Muir K, Mulligan AM, Mulot C, Neuhausen SL, Nevanlinna H, Neven P, Nielsen SF, Noh DY, Nordestgaard BG, Norman A, Olopade OI, Olson JE, Olsson H, Olswold C, Orr N, Pankratz VS, Park SK, Park-Simon TW, Lloyd R, Perez JIA, Peterlongo P, Peto J, Phillips KA, Pinchev M, Plaseska-Karanfilska D, Prentice R, Presneau N, Prokofyeva D, Pugh E, Pylkäs K, Rack B, Radice P, Rahman N, Rennert G, Rennert HS, Rhenius V, Romero A, Romm J, Ruddy KJ, Rüdiger T, Rudolph A, Ruebner M, Rutgers EJT, Saloustros E, Sandler DP, Sangrajrang S, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Scott RJ, Scott C, Seal S, Seynaeve C, Shah M, Sharma P, Shen CY, Sheng G, Sherman ME, Shrubsole MJ, Shu XO, Smeets A, Sohn C, Southey MC, Spinelli JJ, Stegmaier C, Stewart-Brown S, Stone J, Stram DO, Surowy H, Swerdlow A, Tamimi R, Taylor JA, Tengström M, Teo SH, Beth Terry M, Tessier DC, Thanasitthichai S, Thöne K, Tollenaar RAEM, Tomlinson I, Tong L, Torres D, Truong T, Tseng CC, Tsugane S, Ulmer HU, Ursin G, Untch M, Vachon C, van Asperen CJ, Van Den Berg D, van den Ouweland AMW, van der Kolk L, van der Luijt RB, Vincent D, Vollenweider J, Waisfisz Q, Wang-Gohrke S, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Wu AH, Xia L, Yamaji T, Yang XR, Har Yip C, Yoo KY, Yu JC, Zheng W, Zheng Y, Zhu B, Ziogas A, Ziv E, Lakhani SR, Antoniou AC, Droit A, Andrulis IL, Amos CI, Couch FJ, Pharoah PDP, Chang-Claude J, Hall P, Hunter DJ, Milne RL, García-Closas M, Schmidt MK, Chanock SJ, Dunning AM, Edwards SL, Bader GD, Chenevix-Trench G, Simard J, Kraft P, and Easton DF
Subjects: Asia ethnology, Asian People genetics, Binding Sites genetics, Breast Neoplasms diagnosis, Computer Simulation, Europe ethnology, Female, Humans, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Regulatory Sequences, Nucleic Acid, Risk Assessment, Transcription Factors metabolism, White People genetics, Breast Neoplasms genetics, Genetic Loci, Genetic Predisposition to Disease genetics, Genome-Wide Association Study
Abstract: Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P < 5 × 10 -8 . The majority of credible risk single-nucleotide polymorphisms in these loci fall in distal regulatory elements, and by integrating in silico data to predict target genes in breast cells at each locus, we demonstrate a strong overlap between candidate target genes and somatic driver genes in breast tumours. We also find that heritability of breast cancer due to all single-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores for individualized screening and prevention.
Published: 2017
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26. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21.

Author: Hamdi Y, Soucy P, Adoue V, Michailidou K, Canisius S, Lemaçon A, Droit A, Andrulis IL, Anton-Culver H, Arndt V, Baynes C, Blomqvist C, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borresen-Dale AL, Brand JS, Brauch H, Brenner H, Broeks A, Burwinkel B, Chang-Claude J, Couch FJ, Cox A, Cross SS, Czene K, Darabi H, Dennis J, Devilee P, Dörk T, Dos-Santos-Silva I, Eriksson M, Fasching PA, Figueroa J, Flyger H, García-Closas M, Giles GG, Goldberg MS, González-Neira A, Grenaker-Alnæs G, Guénel P, Haeberle L, Haiman CA, Hamann U, Hallberg E, Hooning MJ, Hopper JL, Jakubowska A, Jones M, Kabisch M, Kataja V, Lambrechts D, Le Marchand L, Lindblom A, Lubinski J, Mannermaa A, Maranian M, Margolin S, Marme F, Milne RL, Neuhausen SL, Nevanlinna H, Neven P, Olswold C, Peto J, Plaseska-Karanfilska D, Pylkäs K, Radice P, Rudolph A, Sawyer EJ, Schmidt MK, Shu XO, Southey MC, Swerdlow A, Tollenaar RA, Tomlinson I, Torres D, Truong T, Vachon C, Van Den Ouweland AM, Wang Q, Winqvist R, Zheng W, Benitez J, Chenevix-Trench G, Dunning AM, Pharoah PD, Kristensen V, Hall P, Easton DF, Pastinen T, Nord S, and Simard J
Subjects: Breast Neoplasms pathology, Canada, Carrier Proteins genetics, Case-Control Studies, DNA Helicases genetics, Europe, Female, Gene Frequency, Genetic Association Studies, Genetic Predisposition to Disease, Humans, Linkage Disequilibrium, Mitochondrial Proteins genetics, Odds Ratio, Phenotype, Quantitative Trait Loci, Risk Assessment, Risk Factors, Biomarkers, Tumor genetics, Breast Neoplasms genetics, Chromosomes, Human, Pair 4, Polymorphism, Single Nucleotide
Abstract: There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.
Published: 2016
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27. Frameshift variant FANCL*c.1096_1099dupATTA is not associated with high breast cancer risk.

Author: Pfeifer K, Schürmann P, Bogdanova N, Neuhäuser K, Kostovska IM, Plaseska-Karanfilska D, Park-Simon TW, Schindler D, and Dörk T
Subjects: Fanconi Anemia, Female, Humans, Breast Neoplasms genetics, Fanconi Anemia Complementation Group L Protein genetics, Frameshift Mutation
Published: 2016
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28. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

Author: Baxter, J.S., Johnson, N., Tomczyk, K., Gillespie, A., Maguire, S., Brough, R., Fachal, L., Michailidou, K., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T.U., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arndt, V., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Brenner, H., Brucker, S.Y., Cai, Q.Y., Campa, D., Canzian, F., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collaborators, N., Colonna, S., Conroy, D.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., Dossus, L., Dwek, M., Eccles, D.M., Ekici, A.B., Eliassen, A.H., Engel, C., Fasching, P.A., Figueroa, J., Flyger, H., Gago-Dominguez, M., Gao, C., Garcia-Closas, M., Garcia-Saenz, J.A., Ghoussaini, M., Giles, G.G., Goldberg, M.S., Gonzalez-Neira, A., Guenel, P., Gundert, M., Haeberle, L., Hahnen, E., Haiman, C.A., Hall, P., Hamann, U., Hartman, M., Hatse, S., Hauke, J., Hollestelle, A., Hoppe, R., Hopper, J.L., Hou, M.F., Ito, H., Iwasaki, M., Jager, A., Jakubowska, A., Janni, W., John, E.M., Joseph, V., Jung, A., Kaaks, R., Kang, D., Keeman, R., Khusnutdinova, E., Kim, S.W., Kosma, V.M., Kraft, P., Kristensen, V.N., Kubelka-Sabit, K., Kurian, A.W., Kwong, A., Lacey, J.V., Lambrechts, D., Larson, N.L., Larsson, S.C., Marchand, L. le, Lejbkowicz, F., Li, J.M., Long, J.R., Lophatananon, A., LubiNski, J., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Matsuo, K., Mavroudis, D., Mayes, R., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Muranen, T.A., Murphy, R.A., Nevanlinna, H., O'Brien, K.M., Offit, K., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Patel, A.V., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Rack, B., Rennert, G., Romero, A., Ruebner, M., Rudiger, T., Saloustros, E., Sandler, D.P., Sawyer, E.J., Schmidt, M.K., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Shah, M., Shen, C.Y., Shu, X.O., Simard, J., Southey, M.C., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Taylor, J.A., Teo, S.H., Teras, L.R., Terry, M.B., Toland, A.E., Tomlinson, I., Truong, T., Tseng, C.C., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Wang, S.S., Weinberg, C.R., Wendt, C., Winham, S.J., Winqvist, R., Wolk, A., Wu, A.H., Yamaji, T., Zheng, W., Ziogas, A., Pharoah, P.D.P., Dunning, A.M., Easton, D.F., Pettitt, S.J., Lord, C.J., Haider, S., Orr, N., Fletcher, O., kConFab Investigators, ABCTB Investigators, Medical Oncology, Clinical Genetics, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Biosciences, Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Basic medicine, breast cancer risk, 0302 clinical medicine, Transcription (biology), Risk Factors, WIDE ASSOCIATION, TRANSCRIPTION, Promoter Regions, Genetic, Genetics (clinical), Sequence Deletion, Genetics, Genetics & Heredity, 0303 health sciences, Chromosome Mapping, 3. Good health, 030220 oncology & carcinogenesis, Chromosomes, Human, Pair 2, Pair 2, Female, Medical Genetics, Life Sciences & Biomedicine, Human, Tumor suppressor gene, SUSCEPTIBILITY LOCI, In silico, 3122 Cancers, Locus (genetics), Breast Neoplasms, Biology, Chromosomes, Article, Cell Line, RNAS, Promoter Regions, 03 medical and health sciences, functional annotation, risk locus, CRISPR-Cas Systems, Genetic Association Studies, Genetic Variation, Humans, Insulin-Like Growth Factor Binding Protein 5, Molecular Sequence Annotation, 11Q13, Genetic, SDG 3 - Good Health and Well-being, Enhancer, Transcription factor, 030304 developmental biology, Medicinsk genetik, Reporter gene, Science & Technology, IDENTIFICATION, Clinical medicine, Estrogen receptor alpha
Abstract: A combination of genetic and functional approaches has identified three independent breast cancer risk loci at 2q35. A recent fine-scale mapping analysis to refine these associations resulted in 1 (signal 1), 5 (signal 2), and 42 (signal 3) credible causal variants at these loci. We used publicly available in silico DNase I and ChIP-seq data with in vitro reporter gene and CRISPR assays to annotate signals 2 and 3. We identified putative regulatory elements that enhanced cell-type-specific transcription from the IGFBP5 promoter at both signals (30- to 40-fold increased expression by the putative regulatory element at signal 2, 2- to 3-fold by the putative regulatory element at signal 3). We further identified one of the five credible causal variants at signal 2, a 1.4 kb deletion (esv3594306), as the likely causal variant; the deletion allele of this variant was associated with an average additional increase in IGFBP5 expression of 1.3-fold (MCF-7) and 2.2-fold (T-47D). We propose a model in which the deletion allele of esv3594306 juxtaposes two transcription factor binding regions (annotated by estrogen receptor alpha ChIP-seq peaks) to generate a single extended regulatory element. This regulatory element increases cell-type-specific expression of the tumor suppressor gene IGFBP5 and, thereby, reduces risk of estrogen receptor-positive breast cancer (odds ratio = 0.77, 95% CI 0.74-0.81, p = 3.1 × 10-31). ispartof: AMERICAN JOURNAL OF HUMAN GENETICS vol:108 issue:7 pages:1190-1203 ispartof: location:United States status: published
Published: 2021

29. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

Author: Park, HA, Neumeyer, S, Michailidou, K, Bolla, MK, Wang, Q, Dennis, J, Ahearn, TU, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Augustinsson, A, Baten, A, Beane Freeman, LE, Becher, H, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bogdanova, NV, Bojesen, SE, Brauch, H, Brenner, H, Brucker, SY, Burwinkel, B, Campa, D, Canzian, F, Castelao, JE, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Børresen-Dale, A-L, Grenaker Alnæs, GI, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Conroy, DM, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, dos-Santos-Silva, I, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Flyger, H, Fritschi, L, García-Closas, M, García-Sáenz, JA, Gaudet, MM, Giles, GG, Glendon, G, Goldberg, MS, Goldgar, DE, González-Neira, A, Grip, M, Guénel, P, Hahnen, E, Haiman, CA, Håkansson, N, Hall, P, Hamann, U, Han, S, Harkness, EF, Hart, SN, He, W, Heemskerk-Gerritsen, BAM, Hopper, JL, Hunter, DJ, Clarke, C, Marsh, D, Scott, R, Baxter, R, Yip, D, Carpenter, J, Davis, A, Pathmanathan, N, Simpson, P, Graham, D, Sachchithananthan, M, Amor, D, Andrews, L, Antill, Y, Balleine, R, Beesley, J, Bennett, I, Bogwitz, M, Botes, L, Brennan, M, Brown, M, Buckley, M, Burke, J, Butow, P, Caldon, L, Campbell, I, Chauhan, D, Chauhan, M, Christian, A, Cohen, P, Colley, A, Crook, A, Cui, J, Cummings, M, Dawson, S-J, DeFazio, A, Delatycki, M, Dickson, R, Dixon, J, Edkins, T, Edwards, S, Farshid, G, Fellows, A, Fenton, G, Field, M, Flanagan, J, Fong, P, Forrest, L, Fox, S, French, J, Friedlander, M, Gaff, C, Gattas, M, George, P, Greening, S, Harris, M, Hart, S, Hayward, N, Hopper, J, Hoskins, C, Hunt, C, James, P, Jenkins, M, Kidd, A, Kirk, J, Koehler, J, Kollias, J, Lakhani, S, Lawrence, M, Lindeman, G, Lipton, L, Lobb, L, Mann, G, McLachlan, SA, Meiser, B, Milne, R, Nightingale, S, O’Connell, S, O’Sullivan, S, Ortega, DG, Pachter, N, Patterson, B, Pearn, A, Phillips, K, Pieper, E, Rickard, E, Robinson, B, Saleh, M, Salisbury, E, Saunders, C, Saunus, J, Scott, C, Sexton, A, Shelling, A, Southey, M, Spurdle, A, Taylor, J, Taylor, R, Thorne, H, Trainer, A, Tucker, K, Visvader, J, Walker, L, Williams, R, Winship, I, Young, MA, Jager, A, Jakubowska, A, John, EM, Jung, A, Kaaks, R, Kapoor, PM, Keeman, R, Khusnutdinova, E, Kitahara, CM, Koppert, LB, Koutros, S, Kristensen, VN, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lo, W-Y, Lubiński, J, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, Mavroudis, D, Meindl, A, Menon, U, Milne, RL, Muranen, TA, Nevanlinna, H, Newman, WG, Nordestgaard, BG, Offit, K, Olshan, AF, Olsson, H, Park-Simon, T-W, Peterlongo, P, Peto, J, Plaseska-Karanfilska, D, Presneau, N, Radice, P, Rennert, G, Rennert, HS, Romero, A, Saloustros, E, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Schoemaker, MJ, Schwentner, L, Shah, M, Shu, X-O, Simard, J, Smeets, A, Southey, MC, Spinelli, JJ, Stevens, V, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Tomlinson, I, Troester, MA, Truong, T, Vachon, CM, van Veen, EM, Vijai, J, Wang, S, Wendt, C, Winqvist, R, Wolk, A, Ziogas, A, Dunning, AM, Pharoah, PDP, Easton, DF, Zheng, W, Kraft, P, Chang-Claude, J, HUS Gynecology and Obstetrics, Department of Obstetrics and Gynecology, Park, Hanla A. [0000-0001-8055-3729], Dennis, Joe [0000-0003-4591-1214], Augustinsson, Annelie [0000-0003-3415-0536], Brenner, Hermann [0000-0002-6129-1572], Canzian, Federico [0000-0002-4261-4583], Cox, Angela [0000-0002-5138-1099], Devilee, Peter [0000-0002-8023-2009], Fasching, Peter A. [0000-0003-4885-8471], Harkness, Elaine F. [0000-0001-6625-7739], Hart, Steven N. [0000-0001-7714-2734], Heemskerk-Gerritsen, Bernadette A. M. [0000-0002-9724-6693], Jakubowska, Anna [0000-0002-5650-0501], Kapoor, Pooja Middha [0000-0001-5503-8215], Kurian, Allison W. [0000-0002-6175-9470], Newman, William G. [0000-0002-6382-4678], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Sawyer, Elinor J. [0000-0001-8285-4111], Scott, Christopher [0000-0003-1340-0647], Smeets, Ann [0000-0002-5091-6602], Tomlinson, Ian [0000-0003-3037-1470], Truong, Thérèse [0000-0002-2943-6786], Pharoah, Paul D. P. [0000-0001-8494-732X], and Apollo - University of Cambridge Repository
Subjects: 0301 basic medicine, Oncology, Medicin och hälsovetenskap, Cancer Research, Genotyping Techniques, Breast Neoplasms, Case-Control Studies, Cigarette Smoking, Female, Genetic Pleiotropy, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, ALCOHOL, Medical and Health Sciences, 0302 clinical medicine, Breast cancer, Pleiotropy, Epidemiology, Medicine, TOBACCO, Breast Neoplasms/epidemiology, Cigarette Smoking/adverse effects, WOMEN, ASSOCIATION, Single Nucleotide, 3. Good health, Substance abuse, 692/699/67/1347, 030220 oncology & carcinogenesis, Life Sciences & Biomedicine, 692/499, medicine.medical_specialty, 3122 Cancers, Single-nucleotide polymorphism, Article, 03 medical and health sciences, Internal medicine, ddc:610, Polymorphism, Genetic association, Science & Technology, business.industry, Cancer, medicine.disease, 030104 developmental biology, Clinical research, Risk factors, TISSUE, INFERENCE, CIGARETTE-SMOKING, business
Abstract: Background Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. Methods We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. Results Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07–1.30, P = 0.11 × 10–2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78–1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. Conclusion Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
Published: 2021

30. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

Author: Ahearn, TU, Zhang, H, Michailidou, K, Milne, RL, Bolla, MK, Dennis, J, Dunning, AM, Lush, M, Wang, Q, Andrulis, IL, Anton-Culver, H, Arndt, V, Aronson, KJ, Auer, PL, Augustinsson, A, Baten, A, Becher, H, Behrens, S, Benitez, J, Bermisheva, M, Blomqvist, C, Bojesen, SE, Bonanni, B, Børresen-Dale, A-L, Brauch, H, Brenner, H, Brooks-Wilson, A, Brüning, T, Burwinkel, B, Buys, SS, Canzian, F, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chenevix-Trench, G, Clarke, CL, Sahlberg, KK, Ottestad, L, Kåresen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebråten, O, Naume, B, Fosså, A, Kiserud, CE, Reinertsen, KV, Helland, Å, Riis, M, Geisler, J, Collée, JM, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Dörk, T, Dwek, M, Eccles, DM, Evans, DG, Fasching, PA, Figueroa, J, Floris, G, Gago-Dominguez, M, Gapstur, SM, García-Sáenz, JA, Gaudet, MM, Giles, GG, Goldberg, MS, González-Neira, A, Alnæs, GIG, Grip, M, Guénel, P, Haiman, CA, Hall, P, Hamann, U, Harkness, EF, Heemskerk-Gerritsen, BAM, Holleczek, B, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, C, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Fox, S, Campbell, I, Bowtell, D, Spurdle, A, Webb, P, de Fazio, A, Tassell, M, Kirk, J, Lindeman, G, Price, M, Southey, M, Milne, R, Deb, S, Jakimovska, M, Jakubowska, A, John, EM, Jones, ME, Jung, A, Kaaks, R, Kauppila, S, Keeman, R, Khusnutdinova, E, Kitahara, CM, Ko, Y-D, Koutros, S, Kristensen, VN, Krüger, U, Kubelka-Sabit, K, Kurian, AW, Kyriacou, K, Lambrechts, D, Lee, DG, Lindblom, A, Linet, M, Lissowska, J, Llaneza, A, Lo, W-Y, MacInnis, RJ, Mannermaa, A, Manoochehri, M, Margolin, S, Martinez, ME, McLean, C, Meindl, A, Menon, U, Nevanlinna, H, Newman, WG, Nodora, J, Offit, K, Olsson, H, Orr, N, Park-Simon, T-W, Patel, AV, Peto, J, Pita, G, Plaseska-Karanfilska, D, Prentice, R, Punie, K, Pylkäs, K, Radice, P, Rennert, G, Romero, A, Rüdiger, T, Saloustros, E, Sampson, S, Sandler, DP, Sawyer, EJ, Schmutzler, RK, Schoemaker, MJ, Schöttker, B, Sherman, ME, Shu, X-O, Smichkoska, S, Southey, MC, Spinelli, JJ, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Teras, LR, Terry, MB, Torres, D, Troester, MA, Vachon, CM, van Deurzen, CHM, van Veen, EM, Wagner, P, Weinberg, CR, Wendt, C, Wesseling, J, Winqvist, R, Wolk, A, Yang, XR, Zheng, W, Couch, FJ, Simard, J, Kraft, P, Easton, DF, Pharoah, PDP, Schmidt, MK, García-Closas, M, Chatterjee, N, Ahearn, Thomas U [0000-0003-0771-7752], Easton, Douglas [0000-0003-2444-3247], Pharoah, Paul [0000-0001-8494-732X], Apollo - University of Cambridge Repository, Medicum, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Department of Obstetrics and Gynecology, Biosciences, HUS Gynecology and Obstetrics, Clinical Genetics, Medical Oncology, and Pathology
Subjects: False discovery rate, Oncology, Common breast cancer susceptibility variants, Receptor, ErbB-2, Estrogen receptor, PROGRESSION, Etiologic heterogeneity, Logistic regression, Basic medicine, Breast cancer, 0302 clinical medicine, PRIMARY THERAPY, HETEROGENEITY, RC254-282, HISTOLOGICAL GRADE, 0303 health sciences, Breast Neoplasms/epidemiology, Receptors, Estrogen/genetics, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, INTERNATIONAL EXPERT CONSENSUS, humanities, Receptor, ErbB-2/genetics, 3. Good health, Receptors, Estrogen, Receptors, Progesterone/genetics, 030220 oncology & carcinogenesis, Female, Biomarkers, Tumor/genetics, Receptors, Progesterone, Medical Genetics, Research Article, Risk, medicine.medical_specialty, SUSCEPTIBILITY LOCI, 3122 Cancers, Breast Neoplasms, Single-nucleotide polymorphism, Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Internal medicine, Progesterone receptor, Biomarkers, Tumor, medicine, Genetic predisposition, Humans, ddc:610, GENOME-WIDE ASSOCIATION, Genetic association, Medicinsk genetik, 030304 developmental biology, Cancer och onkologi, medicine.disease, Cancer and Oncology, Clinical medicine, Genome-Wide Association Study
Abstract: Background Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. Methods Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. Results Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate p Conclusion This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
Published: 2020

31. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Author: Fachal, L., Aschard, H., Beesley, J., Barnes, D.R., Allen, J., Kar, S., Pooley, K.A., Dennis, J., Michailidou, K., Turman, C., Soucy, P., Lemaçon, A., Lush, M., Tyrer, J.P., Ghoussaini, M., Marjaneh, M.M., Jiang, X., Agata, S., Aittomäki, K., Alonso, M.R., Andrulis, I.L., Anton-Culver, H., Antonenkova, N.N., Arason, A., Arndt, V., Aronson, K.J., Arun, B.K., Auber, B., Auer, P.L., Azzollini, J., Balmaña, J., Barkardottir, R.B., Barrowdale, D., Beeghly-Fadiel, A., Benitez, J., Bermisheva, M., Białkowska, K., Blanco, A.M., Blomqvist, C., Blot, W., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bonanni, B., Borg, A., Bosse, K., Brauch, H., Brenner, H., Briceno, I., Brock, I.W., Brooks-Wilson, A., Brüning, T., Burwinkel, B., Buys, S.S., Cai, Q., Caldés, T., Caligo, M.A., Camp, N.J., Campbell, I., Canzian, F., Carroll, J.S., Carter, B.D., Castelao, J.E., Chiquette, J., Christiansen, H., Chung, W.K., Claes, K.B.M., Clarke, C.L., Mari, V., Berthet, P., Castera, L., Vaur, D., Lallaoui, H., Bignon, Y.-J., Uhrhammer, N., Bonadona, V., Lasset, C., Révillion, F., Vennin, P., Muller, D., Gomes, D.M., Ingster, O., Coupier, I., Pujol, P., Collonge-Rame, M.-A., Mortemousque, I., Bera, O., Rose, M., Baurand, A., Bertolone, G., Faivre, L., Dreyfus, H., Leroux, D., Venat-Bouvet, L., Bézieau, S., Delnatte, C., Chiesa, J., Gilbert-Dussardier, B., Gesta, P., Prieur, F.P., Bronner, M., Sokolowska, J., Coulet, F., Boutry-Kryza, N., Calender, A., Giraud, S., Leone, M., Fert-Ferrer, S., Stoppa-Lyonnet, D., Jiao, Y., Lesueur, F.L., Mebirouk, N., Barouk-Simonet, E., Bubien, V., Longy, M., Sevenet, N., Gladieff, L., Toulas, C., Reimineras, A., Sobol, H., Paillerets, B.B.-D., Cabaret, O., Caron, O., Guillaud-Bataille, M., Rouleau, E., Belotti, M., Buecher, B., Caputo, S., Colas, C., Pauw, A.D., Fourme, E., Gauthier-Villars, M., Golmard, L., Moncoutier, V., Saule, C., Donaldson, A., Murray, A., Brady, A., Brewer, C., Pottinger, C., Miller, C., Gallagher, D., Gregory, H., Cook, J., Eason, J., Adlard, J., Barwell, J., Ong, K.-R., Snape, K., Walker, L., Izatt, L., Side, L., Tischkowitz, M., Rogers, M.T., Porteous, M.E., Ahmed, M., Morrison, P.J., Brennan, P., Eeles, R., Davidson, R., Collée, M., Cornelissen, S., Couch, F.J., Cox, A., Cross, S.S., Cybulski, C., Czene, K., Daly, M.B., de la Hoya, M., Devilee, P., Diez, O., Ding, Y.C., Dite, G.S., Domchek, S.M., Dörk, T., dos-Santos-Silva, I., Droit, A., Dubois, S., Dumont, M., Duran, M., Durcan, L., Dwek, M., Eccles, D.M., Engel, C., Eriksson, M., Evans, D.G., Fasching, P.A., Fletcher, O., Floris, G., Flyger, H., Foretova, L., Foulkes, W.D., Friedman, E., Fritschi, L., Frost, D., Gabrielson, M., Gago-Dominguez, M., Gambino, G., Ganz, P.A., Gapstur, S.M., Garber, J., García-Sáenz, J.A., Gaudet, M.M., Georgoulias, V., Giles, G., Glendon, G., Godwin, A.K., Goldberg, M.S., Goldgar, D.E., González-Neira, A., Tibiletti, M.G., Greene, M.H., Grip, M., Gronwald, J., Grundy, A., Guénel, P., Hahnen, E., Haiman, C.A., Håkansson, N., Hall, P., Hamann, U., Harrington, P.A., Hartikainen, J.M., Hartman, M., He, W., Healey, C.S., Heemskerk-Gerritsen, B.A.M., Heyworth, J., Hillemanns, P., Hogervorst, F.B.L., Hollestelle, A., Hooning, M., Hopper, J., Howell, A., Huang, G., Hulick, P.J., Imyanitov, E.N., Sexton, A., Christian, A., Trainer, A., Spigelman, A., Fellows, A., Shelling, A., Fazio, A.D., Blackburn, A., Crook, A., Meiser, B., Patterson, B., Clarke, C., Saunders, C., Hunt, C., Scott, C., Amor, D., Marsh, D., Edkins, E., Salisbury, E., Haan, E., Neidermayr, E., Macrea, F., Farshid, G., Lindeman, G., Chenevix-Trench, G., Mann, G., Gill, G., Thorne, H., Hickie, I., Winship, I., Flanagan, J., Kollias, J., Visvader, J., Stone, J., Taylor, J., Burke, J., Saunus, J., Forbes, J., Kirk, J., French, J., Tucker, K., Wu, K., Phillips, K., Lipton, L., Andrews, L., Lobb, L., Kentwell, M., Spurdle, M., Cummings, M., Gleeson, M., Harris, M., Jenkins, M., Young, M.A., Delatycki, M., Wallis, M., Burgess, M., Price, M., Brown, M., Southey, M., Bogwitz, M., Field, M., Friedlander, M., Gattas, M., Saleh, M., Hayward, N., Pachter, N., Cohen, P., Duijf, P., James, P., Simpson, P., Fong, P., Butow, P., Williams, R., Kefford, R., Scott, R., Milne, R.L., Balleine, R., Dawson, S.–J., Lok, S., O’Connell, S., Greening, S., Nightingale, S., Edwards, S., Fox, S., McLachlan, S.-A., Lakhani, S., Antill, Y., Aalfs, C., Meijers-Heijboer, H., van Engelen, K., Gille, H., Boere, I., van Deurzen, C., Obdeijn, I.-M., van den Ouweland, A., Seynaeve, C., Siesling, S., Verloop, J., van Asperen, C.J., van Cronenburg, T., Blok, R., de Boer, M., Garcia, E.G., Adank, M., Hogervorst, F., Jenner, D., van Leeuwen, F., Rookus, M., Russell, N., Schmidt, M., van den Belt-Dusebout, S., Kets, C., Mensenkamp, A., de Bock, T., van der Hout, A., Mourits, M., Oosterwijk, J., Ausems, M., Koudijs, M., Baxter, R., Yip, D., Carpenter, J., Davis, A., Pathmanathan, N., Graham, D., Sachchithananthan, M., Isaacs, C., Iwasaki, M., Jager, A., Jakimovska, M., Jakubowska, A., James, P.A., Janavicius, R., Jankowitz, R.C., John, E.M., Johnson, N., Jones, M.E., Jukkola-Vuorinen, A., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Karlan, B.Y., Keeman, R., Kerin, M.J., Khusnutdinova, E., Kiiski, J.I., Kitahara, C.M., Ko, Y.-D., Konstantopoulou, I., Kosma, V.-M., Koutros, S., Kubelka-Sabit, K., Kwong, A., Kyriacou, K., Laitman, Y., Lambrechts, D., Lee, E., Leslie, G., Lester, J., Lesueur, F., Lindblom, A., Lo, W.-Y., Long, J., Lophatananon, A., Loud, J.T., Lubiński, J., MacInnis, R.J., Maishman, T., Makalic, E., Mannermaa, A., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, M.E., Matsuo, K., Maurer, T., Mavroudis, D., Mayes, R., McGuffog, L., McLean, C., Meindl, A., Miller, A., Miller, N., Montagna, M., Moreno, F., Muir, K., Mulligan, A.M., Muñoz-Garzon, V.M., Muranen, T.A., Narod, S.A., Nassir, R., Nathanson, K.L., Neuhausen, S.L., Nevanlinna, H., Neven, P., Nielsen, F.C., Nikitina-Zake, L., Norman, A., Offit, K., Olah, E., Olopade, O.I., Olsson, H., Orr, N., Osorio, A., Pankratz, V.S., Papp, J., Park, S.K., Park-Simon, T.-W., Parsons, M.T., Paul, J., Pedersen, I.S., Peissel, B., Peshkin, B., Peterlongo, P., Peto, J., Plaseska-Karanfilska, D., Prajzendanc, K., Prentice, R., Presneau, N., Prokofyeva, D., Pujana, M.A., Pylkäs, K., Radice, P., Ramus, S.J., Rantala, J., Rau-Murthy, R., Rennert, G., Risch, H.A., Robson, M., Romero, A., Rossing, M., Saloustros, E., Sánchez-Herrero, E., Sandler, D.P., Santamariña, M., Sawyer, E.J., Scheuner, M.T., Schmidt, D.F., Schmutzler, R.K., Schneeweiss, A., Schoemaker, M.J., Schöttker, B., Schürmann, P., Scott, R.J., Senter, L., Seynaeve, C.M., Shah, M., Sharma, P., Shen, C.-Y., Shu, X.-O., Singer, C.F., Slavin, T.P., Smichkoska, S., Southey, M.C., Spinelli, J.J., Spurdle, A.B., Sutter, C., Swerdlow, A.J., Tamimi, R.M., Tan, Y.Y., Tapper, W.J., Taylor, J.A., Teixeira, M.R., Tengström, M., Teo, S.H., Terry, M.B., Teulé, A., Thomassen, M., Thull, D.L., Toland, A.E., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Torres-Mejía, G., Troester, M.A., Truong, T., Tung, N., Tzardi, M., Ulmer, H.-U., Vachon, C.M., van der Kolk, L.E., van Rensburg, E.J., Vega, A., Viel, A., Vijai, J., Vogel, M.J., Wang, Q., Wappenschmidt, B., Weinberg, C.R., Weitzel, J.N., Wendt, C., Wildiers, H., Winqvist, R., Wolk, A., Wu, A.H., Yannoukakos, D., Zhang, Y., Zheng, W., Hunter, D., Pharoah, P.D.P., Chang-Claude, J., García-Closas, M., Schmidt, M.K., Kristensen, V.N., French, J.D., Edwards, S.L., Antoniou, A.C., Simard, J., Easton, D.F., Kraft, P., Dunning, A.M., Collaborators, GEMO Study, Collaborators, EMBRACE, Investigators, KConFab, Investigators, HEBON, Investigators, ABCTB, Fachal, Laura, Aschard, Hugues, Beesley, Jonathan, Barnes, Daniel R, Duijf, Pascal, Dunning, Alison M, GEMO Study Collaborators, EMBRACE Collaborators, KConFab Investigators, HEBON Investigators, ABCTB Investigators, MUMC+: MA Medische Oncologie (9), RS: GROW - R3 - Innovative Cancer Diagnostics & Therapy, Klinische Genetica, MUMC+: DA KG Polikliniek (9), RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Lab Centraal Lab (9), European Commission, Government of Canada, Canadian Institutes of Health Research, National Institutes of Health (US), Cancer Research UK, Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), QIMR Berghofer Medical Research Institute, University of Cambridge [UK] (CAM), NSCAD, University of Cyprus [Nicosia], Harvard T.H. Chan School of Public Health, This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation), the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492), and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE, part of the GAME-ON initiative). For a full description of funding and acknowledgments, see the Supplementary Note., We thank all of the individuals who took part in these studies, as well as all of the researchers, clinicians, technicians and administrative staff who enabled this work to be carried out, European Project: 656144,H2020,H2020-MSCA-IF-2014,RADIOGENFF(2016), European Project: 223175,EC:FP7:HEALTH,FP7-HEALTH-2007-B,COGS(2009), European Project: 633784,H2020,H2020-PHC-2014-two-stage,B-CAST(2015), European Project: 634935,H2020,H2020-PHC-2014-two-stage,BRIDGES(2015), Clinical Genetics, Medical Oncology, Pathology, Radiology & Nuclear Medicine, Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), University of Cyprus [Nicosia] (UCY), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Life Course Epidemiology (LCE), Targeted Gynaecologic Oncology (TARGON), Basic and Translational Research and Imaging Methodology Development in Groningen (BRIDGE), Aschard, Hugues [0000-0002-7554-6783], Barnes, Daniel R [0000-0002-3781-7570], Dennis, Joe [0000-0003-4591-1214], Michailidou, Kyriaki [0000-0001-7065-1237], Lemaçon, Audrey [0000-0002-1817-7029], Andrulis, Irene L [0000-0002-4226-6435], Arason, Adalgeir [0000-0003-0480-886X], Arndt, Volker [0000-0001-9320-8684], Auber, Bernd [0000-0003-1880-291X], Azzollini, Jacopo [0000-0002-9364-9778], Bojesen, Stig E [0000-0002-4061-4133], Bonanni, Bernardo [0000-0003-3589-2128], Brauch, Hiltrud [0000-0001-7531-2736], Campbell, Ian [0000-0002-7773-4155], Carroll, Jason S [0000-0003-3643-0080], Claes, Kathleen BM [0000-0003-0841-7372], Collée, J Margriet [0000-0002-9272-9346], Devilee, Peter [0000-0002-8023-2009], Dörk, Thilo [0000-0002-9458-0282], Dwek, Miriam [0000-0001-7184-2932], Fletcher, Olivia [0000-0001-9387-7116], Floris, Giuseppe [0000-0003-2391-5425], Foulkes, William D [0000-0001-7427-4651], García-Sáenz, José A [0000-0001-6880-0301], Greene, Mark H [0000-0003-1852-9239], Guénel, Pascal [0000-0002-8359-518X], Heemskerk-Gerritsen, Bernadette AM [0000-0002-9724-6693], Hollestelle, Antoinette [0000-0003-1166-1966], Hulick, Peter J [0000-0001-8397-4078], Jakimovska, Milena [0000-0002-1506-0669], Jakubowska, Anna [0000-0002-5650-0501], James, Paul A [0000-0002-4361-4657], Jones, Michael E [0000-0001-7479-3451], Kapoor, Pooja Middha [0000-0001-5503-8215], Keeman, Renske [0000-0002-5452-9933], Konstantopoulou, Irene [0000-0002-0470-0309], Leslie, Goska [0000-0001-5756-6222], Lesueur, Fabienne [0000-0001-7404-4549], Matsuo, Keitaro [0000-0003-1761-6314], McLean, Catriona [0000-0002-0302-5727], Miller, Austin [0000-0001-9739-8462], Muir, Kenneth [0000-0001-6429-988X], Muranen, Taru A [0000-0002-5895-1808], Nathanson, Katherine L [0000-0002-6740-0901], Nevanlinna, Heli [0000-0002-0916-2976], Olopade, Olufunmilayo I [0000-0002-9936-1599], Orr, Nick [0000-0003-2866-942X], Pankratz, V Shane [0000-0002-3742-040X], Parsons, Michael T [0000-0003-3242-8477], Paul, James [0000-0001-7367-5816], Peshkin, Beth [0000-0002-2997-4701], Peterlongo, Paolo [0000-0001-6951-6855], Peto, Julian [0000-0002-1685-8912], Plaseska-Karanfilska, Dijana [0000-0001-8877-2416], Pylkäs, Katri [0000-0002-2449-0521], Radice, Paolo [0000-0001-6298-4111], Rennert, Gad [0000-0002-8512-068X], Robson, Mark [0000-0002-3109-1692], Romero, Atocha [0000-0002-1634-7397], Saloustros, Emmanouil [0000-0002-0485-0120], Scott, Christopher [0000-0003-1340-0647], Scott, Rodney J [0000-0001-7724-3404], Spurdle, Amanda B [0000-0003-1337-7897], Stone, Jennifer [0000-0001-5077-0124], Sutter, Christian [0000-0003-4051-5888], Tan, Yen Yen [0000-0003-1063-5352], Teixeira, Manuel R [0000-0002-4896-5982], Toland, Amanda E [0000-0002-0271-1792], Tomlinson, Ian [0000-0003-3037-1470], Viel, Alessandra [0000-0003-2804-0840], Vijai, Joseph [0000-0002-7933-151X], Wolk, Alicja [0000-0001-7387-6845], Yannoukakos, Drakoulis [0000-0001-7509-3510], Pharoah, Paul DP [0000-0001-8494-732X], Schmidt, Marjanka K [0000-0002-2228-429X], Milne, Roger L [0000-0001-5764-7268], Edwards, Stacey L [0000-0001-7428-4139], Simard, Jacques [0000-0001-6906-3390], Easton, Douglas F [0000-0003-2444-3247], Kraft, Peter [0000-0002-4472-8103], Dunning, Alison M [0000-0001-6651-7166], Apollo - University of Cambridge Repository, Academic Medical Center, ARD - Amsterdam Reproduction and Development, Human genetics, CCA - Cancer biology and immunology, Molecular cell biology and Immunology, Medicum, Kristiina Aittomäki / Principal Investigator, HUSLAB, Department of Medical and Clinical Genetics, University of Helsinki, HUS Comprehensive Cancer Center, Department of Oncology, Clinicum, Doctoral Programme in Clinical Research, Staff Services, INDIVIDRUG - Individualized Drug Therapy, HUS Gynecology and Obstetrics, and Department of Obstetrics and Gynecology
Subjects: CHROMATIN, Linkage disequilibrium, Genome-wide association study, Regulatory Sequences, Nucleic Acid, Genome-wide association studies, Linkage Disequilibrium, Basic medicine, 0302 clinical medicine, Breast cancer, MESH: Risk Factors, Risk Factors, COMPREHENSIVE MOLECULAR PORTRAITS, 11 Medical and Health Sciences, HEBON Investigators, Genetics & Heredity, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], PROTEIN FUNCTION, Tumor, breast tumor, MESH: Polymorphism, Single Nucleotide, 1184 Genetics, developmental biology, physiology, MESH: Genetic Predisposition to Disease, apoptosis, Chromosome Mapping, Single Nucleotide, 3. Good health, MESH: Linkage Disequilibrium, Female, MESH: Biomarkers, Tumor, Biomarkers, Tumor/genetics, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Life Sciences & Biomedicine, SUSCEPTIBILITY LOCI, MESH: Bayes Theorem, Quantitative Trait Loci, ABCTB Investigators, INTEGRATIVE ANALYSIS, Breast Neoplasms, Computational biology, Biology, Quantitative trait locus, Breast Neoplasms/genetics, Polymorphism, Single Nucleotide, Article, ENHANCER, GEMO Study Collaborators, 03 medical and health sciences, breast cancer, SDG 3 - Good Health and Well-being, REVEALS, Genetics, Biomarkers, Tumor, MESH: Regulatory Sequences, Nucleic Acid, Humans, Genetic Predisposition to Disease, Polymorphism, GENOME-WIDE ASSOCIATION, FUNCTIONAL VARIANTS, EMBRACE Collaborators, Gene, 030304 developmental biology, Genetic association, Bayes Theorem, Genome-Wide Association Study, MESH: Humans, Science & Technology, Nucleic Acid, gene mapping, 06 Biological Sciences, MESH: Quantitative Trait Loci, DNA binding site, ESTROGEN-RECEPTOR, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Clinical medicine, Expression quantitative trait loci, MESH: Genome-Wide Association Study, Human genome, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, KConFab Investigators, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Chromosome Mapping, Chromosome Mapping/methods, Regulatory Sequences, MESH: Female, Biomarkers, 030217 neurology & neurosurgery, MESH: Breast Neoplasms, Developmental Biology
Abstract: Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes., This work was supported by the European Union’s Horizon 2020 Research and Innovation Programme under Marie Sklodowska-Curie grant agreement number 656144. Genotyping of the OncoArray was principally funded from three sources: the PERSPECTIVE project (funded by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the ‘Ministère de l’Économie de la Science et de l’Innovation du Québec’ (through Genome Québec) and the Quebec Breast Cancer Foundation); the NCI Genetic Associations and Mechanisms in Oncology (GAME-ON) initiative and the Discovery, Biology and Risk of Inherited Variants in Breast Cancer (DRIVE) project (NIH grants U19 CA148065 and X01HG007492); and Cancer Research UK (C1287/A10118, C8197/A16565 and C1287/A16563). BCAC is funded by Cancer Research UK (C1287/A16563), by the European Community’s Seventh Framework Programme under grant agreement 223175 (HEALTH-F2-2009-223175) (COGS) and by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreements 633784 (B-CAST) and 634935 (BRIDGES). Genotyping of the iCOGS array was funded by the European Union (HEALTH-F2-2009-223175), Cancer Research UK (C1287/A10710), the Canadian Institutes of Health Research for the ‘CIHR Team in Familial Risks of Breast Cancer’ program, and the Ministry of Economic Development, Innovation and Export Trade of Quebec (grant PSR-SIIRI-701). Combining of the GWAS data was supported in part by NIH Cancer Post-Cancer GWAS initiative grant U19 CA 148065 (DRIVE; part of the GAME-ON initiative).
Published: 2020

32. Two truncating variants in FANCC and breast cancer risk

Author: Dork, T., Peterlongo, P., Mannermaa, A., Bolla, M.K., Wang, Q., Dennis, J., Ahearn, T., Andrulis, I.L., Anton-Culver, H., Arndt, V., Aronson, K.J., Augustinsson, A., Freeman, L.E.B., Beckmann, M.W., Beeghly-Fadiel, A., Behrens, S., Bermisheva, M., Blomqvist, C., Bogdanova, N., Bojesen, S.E., Brauch, H., Brenner, H., Burwinkel, B., Canzian, F., Chan, T.L., Chang-Claude, J., Chanock, S.J., Choi, J.Y., Christiansen, H., Clarke, C.L., Couch, F.J., Czene, K., Daly, M.B., dos-Santos-Silva, I., Dwek, M., Eccles, D.M., Ekici, A.B., Eriksson, M., Evans, D.G., Fasching, P.A., Figueroa, J., Flyger, H., Fritschisl, L., Gabrielson, M., Gago-Dominguez, M., Gao, C., Gapstur, S.M., Garcia-Closas, M., Garcia-Saenz, J.A., Gaudet, M.M., Giles, G.G., Goldberg, M.S., Goldgar, D.E., Guenel, P., Haeberle, L., Haiman, C.A., Hakansson, N., Hall, P., Hamann, U., Hartman, M., Hauke, J., Hein, A., Hillemanns, P., Hogervorst, F.B.L., Hooning, M.J., Hopper, J.L., Howell, T., Huo, D.Z., Ito, H., Iwasaki, M., Jakubowska, A., Janni, W., John, E.M., Jung, A., Kaaks, R., Kang, D., Kapoor, P.M., Khusnutdinova, E., Kim, S.W., Kitahara, C.M., Koutros, S., Kraft, P., Kristensen, V.N., Kwon, A., Lambrechts, D., Marchand, L. le, Li, J.M., Lindstrom, S., Linet, M., W.Y. lo, Long, J.R., Lophatananon, A., Lubinski, J., Manoochehri, M., Manoukian, S., Margolin, S., Martinez, E., Matsuo, K., Mavroudis, D., Meindl, A., Menon, U., Milne, R.L., Taib, N.A.M., Muir, K., Mulligan, A.M., Neuhausen, S.L., Nevanlinna, H., Neven, P., Newman, W.G., Offit, K., Olopade, O.I., Olshan, A.F., Olson, J.E., Olsson, H., Park, S.K., Park-Simon, T.W., Peto, J., Plaseska-Karanfilska, D., Pohl-Rescigno, E., Presneau, N., Rack, B., Radice, P., Rashid, M.U., Rennert, G., Rennert, H.S., Romero, A., Ruebner, M., Saloustros, E., Schmidt, M.K., Schmutzler, R.K., Schneider, M.O., Schoemaker, M.J., Scott, C., Shen, C.Y., Shu, X.O., Simard, J., Slager, S., Smichkoska, S., Southey, M.C., Spinelli, J.J., Stone, J., Surowy, H., Swerdlow, A.J., Tamimi, R.M., Tapper, W.J., Teo, S.H., Terry, M.B., Toland, A.E., Tollenaar, R.A.E.M., Torres, D., Torres-Mejia, G., Troester, M.A., Truong, T., Tsugane, S., Untch, M., Vachon, C.M., Ouweland, A.M.W. van den, Veen, E.M. van, Vijai, J., Wendt, C., Wolk, A., Yu, J.C., Zheng, W., Ziogas, A., Ziv, E., Dunning, A.M., Pharoah, P.D.P., Schindler, D., Devilee, P., Easton, D.F., Balleine, R., Baxter, R., Braye, S., Carpenter, J., Dahlstrom, J., Forbes, J., Lee, C.S., Marsh, D., Morey, A., Pathmanathan, N., Scott, R., Simpson, P., Spigelman, A., Wilcken, N., Yip, D., Zeps, N., Borresen-Dale, A.L., Alnaes, G.I.G., Sahlberg, K.K., Ottestad, L., Karesen, R., Schlichting, E., Holmen, M.M., Sauer, T., Haakensen, V., Engebraten, O., Naume, B., Fossa, A., Kiserud, C.E., Reinertsen, K.V., Helland, A., Riis, M., Geisler, J., ABCTB Investigators, NBCS Collaborators, Andrulis, Irene L [0000-0002-4226-6435], Arndt, Volker [0000-0001-9320-8684], Brauch, Hiltrud [0000-0001-7531-2736], Dwek, Miriam [0000-0001-7184-2932], Ekici, Arif B [0000-0001-6099-7066], Fasching, Peter A [0000-0003-4885-8471], Figueroa, Jonine [0000-0002-5100-623X], Hein, Alexander [0000-0003-2601-3398], Ito, Hidemi [0000-0002-8023-4581], Matsuo, Keitaro [0000-0003-1761-6314], Menon, Usha [0000-0003-3708-1732], Milne, Roger L [0000-0001-5764-7268], Muir, Kenneth [0000-0001-6429-988X], Nevanlinna, Heli [0000-0002-0916-2976], Newman, William G [0000-0002-6382-4678], Peto, Julian [0000-0002-1685-8912], Rennert, Gad [0000-0002-8512-068X], Romero, Atocha [0000-0002-1634-7397], Schmidt, Marjanka K [0000-0002-2228-429X], Scott, Christopher [0000-0003-1340-0647], Stone, Jennifer [0000-0001-5077-0124], Truong, Thérèse [0000-0002-2943-6786], Tsugane, Shoichiro [0000-0003-4105-2774], Ziogas, Argyrios [0000-0003-4529-3727], Dunning, Alison M [0000-0001-6651-7166], Pharoah, Paul DP [0000-0001-8494-732X], Devilee, Peter [0000-0002-8023-2009], Easton, Douglas F [0000-0003-2444-3247], Apollo - University of Cambridge Repository, Andrulis, Irene L. [0000-0002-4226-6435], Ekici, Arif B. [0000-0001-6099-7066], Fasching, Peter A. [0000-0003-4885-8471], Milne, Roger L. [0000-0001-5764-7268], Newman, William G. [0000-0002-6382-4678], Schmidt, Marjanka K. [0000-0002-2228-429X], Dunning, Alison M. [0000-0001-6651-7166], Pharoah, Paul D. P. [0000-0001-8494-732X], Easton, Douglas F. [0000-0003-2444-3247], HUS Comprehensive Cancer Center, Clinicum, University Management, Department of Oncology, University of Helsinki, Department of Obstetrics and Gynecology, HUS Gynecology and Obstetrics, Medical Oncology, and Clinical Genetics
Subjects: 0301 basic medicine, Oncology, PROTEIN, lcsh:Medicine, 45/47, 0302 clinical medicine, Fanconi anemia, Genotype, lcsh:Science, Sequence Deletion, Multidisciplinary, BRCA1 Protein, Fanconi Anemia Complementation Group C Protein, 1184 Genetics, developmental biology, physiology, BRCA2 Protein, 3. Good health, BIALLELIC MUTATIONS, DNA-REPAIR, Female, 692/499, Medical Genetics, medicine.medical_specialty, PALB2, 3122 Cancers, ABCTB Investigators, Breast Neoplasms, FANCONIS ANEMIA, Article, 692/4028, NBCS Collaborators, 03 medical and health sciences, Breast cancer, SDG 3 - Good Health and Well-being, Internal medicine, medicine, Humans, NONSENSE MUTATION, Genetic Predisposition to Disease, Medicinsk genetik, 45, business.industry, Genetic heterogeneity, lcsh:R, Case-control study, Genetic Variation, Odds ratio, medicine.disease, GENE, Fanconi Anemia, 030104 developmental biology, Risk factors, Case-Control Studies, lcsh:Q, 3111 Biomedicine, business, 030217 neurology & neurosurgery
Abstract: Fanconi anemia (FA) is a genetically heterogeneous disorder with 22 disease-causing genes reported to date. In some FA genes, monoallelic mutations have been found to be associated with breast cancer risk, while the risk associations of others remain unknown. The gene for FA type C, FANCC, has been proposed as a breast cancer susceptibility gene based on epidemiological and sequencing studies. We used the Oncoarray project to genotype two truncating FANCC variants (p.R185X and p.R548X) in 64,760 breast cancer cases and 49,793 controls of European descent. FANCC mutations were observed in 25 cases (14 with p.R185X, 11 with p.R548X) and 26 controls (18 with p.R185X, 8 with p.R548X). There was no evidence of an association with the risk of breast cancer, neither overall (odds ratio 0.77, 95%CI 0.44–1.33, p = 0.4) nor by histology, hormone receptor status, age or family history. We conclude that the breast cancer risk association of these two FANCC variants, if any, is much smaller than for BRCA1, BRCA2 or PALB2 mutations. If this applies to all truncating variants in FANCC it would suggest there are differences between FA genes in their roles on breast cancer risk and demonstrates the merit of large consortia for clarifying risk associations of rare variants.
Published: 2019

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32 results on '"Plaseska-Karanfilska D."'

1. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel.

2. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival.

3. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry.

4. A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: application to BRCA1 and BRCA2 .

5. Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study.

6. Rare germline copy number variants (CNVs) and breast cancer risk.

7. Common variants in breast cancer risk loci predispose to distinct tumor subtypes.

8. Mendelian randomisation study of smoking exposure in relation to breast cancer risk.

9. Association of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.

10. Breast Cancer Risk Factors and Survival by Tumor Subtype: Pooled Analyses from the Breast Cancer Association Consortium.

11. CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers.

12. Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk.

13. Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.

14. Germline HOXB13 mutations p.G84E and p.R217C do not confer an increased breast cancer risk.

15. Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses.

16. Association of IL-10 (rs1800872) and IL-4R (rs1805010) polymorphisms with cervical intraepithelial lesions and cervical carcinomas

17. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes.

18. Two truncating variants in FANCC and breast cancer risk.

19. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer.

20. Shared heritability and functional enrichment across six solid cancers.

21. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

22. A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.

23. BRCA1 and BRCA2 germline variants in breast cancer patients from the Republic of Macedonia.

24. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer.

25. Association analysis identifies 65 new breast cancer risk loci.

26. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21.

27. Frameshift variant FANCL*c.1096_1099dupATTA is not associated with high breast cancer risk.

28. Functional annotation of the 2q35 breast cancer risk locus implicates a structural variant in influencing activity of a long-range enhancer element

29. Mendelian randomisation study of smoking exposure in relation to breast cancer risk

30. Common variants in breast cancer risk loci predispose to distinct tumor subtypes

31. Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

32. Two truncating variants in FANCC and breast cancer risk

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32 results on '"Plaseska-Karanfilska D."'

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