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- 2019
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Journal article (peer-reviewed)
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- Antoniou, A. C., et al.
(author)
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Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers : Implications for risk prediction
- 2010
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In: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 70:23, s. 9742-9754
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Journal article (peer-reviewed)abstract
- The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 in STXBP4/COX11, and rs10941679 at 5p12, and reanalyzed the previous associations using additional carriers in a sample of 12,525 BRCA1 and 7,409 BRCA2 carriers. Additionally, we investigated potential interactions between SNPs and assessed the implications for risk prediction. The minor alleles of rs4973768 and rs10941679 were associated with increased breast cancer risk for BRCA2 carriers (per-allele HR = 1.10, 95% CI: 1.03-1.18, P = 0.006 and HR = 1.09, 95% CI: 1.01-1.19, P = 0.03, respectively). Neither SNP was associated with breast cancer risk for BRCA1 carriers, and rs6504950 was not associated with breast cancer for either BRCA1 or BRCA2 carriers. Of the 9 polymorphisms investigated, 7 were associated with breast cancer for BRCA2 carriers (FGFR2, TOX3, MAP3K1, LSP1, 2q35, SLC4A7, 5p12, P = 7 × 10-11 - 0.03), but only TOX3 and 2q35 were associated with the risk for BRCA1 carriers (P = 0.0049, 0.03, respectively). All risk-associated polymorphisms appear to interact multiplicatively on breast cancer risk for mutation carriers. Based on the joint genotype distribution of the 7 risk-associated SNPs in BRCA2 mutation carriers, the 5% of BRCA2 carriers at highest risk (i.e., between 95th and 100th percentiles) were predicted to have a probability between 80% and 96% of developing breast cancer by age 80, compared with 42% to 50% for the 5% of carriers at lowest risk. Our findings indicated that these risk differences might be sufficient to influence the clinical management of mutation carriers.
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- Hollestelle, Antoinette, et al.
(author)
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No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer
- 2016
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In: Gynecologic Oncology. - : Elsevier BV. - 0090-8258 .- 1095-6859. ; 141:2, s. 386-401
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Journal article (peer-reviewed)abstract
- Objective Clinical genetic testing is commercially available for rs61764370, an inherited variant residing in a KRAS 3′ UTR microRNA binding site, based on suggested associations with increased ovarian and breast cancer risk as well as with survival time. However, prior studies, emphasizing particular subgroups, were relatively small. Therefore, we comprehensively evaluated ovarian and breast cancer risks as well as clinical outcome associated with rs61764370. Methods Centralized genotyping and analysis were performed for 140,012 women enrolled in the Ovarian Cancer Association Consortium (15,357 ovarian cancer patients; 30,816 controls), the Breast Cancer Association Consortium (33,530 breast cancer patients; 37,640 controls), and the Consortium of Modifiers of BRCA1 and BRCA2 (14,765 BRCA1 and 7904 BRCA2 mutation carriers). Results We found no association with risk of ovarian cancer (OR = 0.99, 95% CI 0.94-1.04, p = 0.74) or breast cancer (OR = 0.98, 95% CI 0.94-1.01, p = 0.19) and results were consistent among mutation carriers (BRCA1, ovarian cancer HR = 1.09, 95% CI 0.97-1.23, p = 0.14, breast cancer HR = 1.04, 95% CI 0.97-1.12, p = 0.27; BRCA2, ovarian cancer HR = 0.89, 95% CI 0.71-1.13, p = 0.34, breast cancer HR = 1.06, 95% CI 0.94-1.19, p = 0.35). Null results were also obtained for associations with overall survival following ovarian cancer (HR = 0.94, 95% CI 0.83-1.07, p = 0.38), breast cancer (HR = 0.96, 95% CI 0.87-1.06, p = 0.38), and all other previously-reported associations. Conclusions rs61764370 is not associated with risk of ovarian or breast cancer nor with clinical outcome for patients with these cancers. Therefore, genotyping this variant has no clinical utility related to the prediction or management of these cancers.
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| 14. |
- Stanaway, Jeffrey D., et al.
(author)
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Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017
- 2018
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In: The Lancet. - 1474-547X .- 0140-6736. ; 392:10159, s. 1923-1994
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Journal article (peer-reviewed)abstract
- Background The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 comparative risk assessment (CRA) is a comprehensive approach to risk factor quantification that offers a useful tool for synthesising evidence on risks and risk-outcome associations. With each annual GBD study, we update the GBD CRA to incorporate improved methods, new risks and risk-outcome pairs, and new data on risk exposure levels and risk- outcome associations. Methods We used the CRA framework developed for previous iterations of GBD to estimate levels and trends in exposure, attributable deaths, and attributable disability-adjusted life-years (DALYs), by age group, sex, year, and location for 84 behavioural, environmental and occupational, and metabolic risks or groups of risks from 1990 to 2017. This study included 476 risk-outcome pairs that met the GBD study criteria for convincing or probable evidence of causation. We extracted relative risk and exposure estimates from 46 749 randomised controlled trials, cohort studies, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. Using the counterfactual scenario of theoretical minimum risk exposure level (TMREL), we estimated the portion of deaths and DALYs that could be attributed to a given risk. We explored the relationship between development and risk exposure by modelling the relationship between the Socio-demographic Index (SDI) and risk-weighted exposure prevalence and estimated expected levels of exposure and risk-attributable burden by SDI. Finally, we explored temporal changes in risk-attributable DALYs by decomposing those changes into six main component drivers of change as follows: (1) population growth; (2) changes in population age structures; (3) changes in exposure to environmental and occupational risks; (4) changes in exposure to behavioural risks; (5) changes in exposure to metabolic risks; and (6) changes due to all other factors, approximated as the risk-deleted death and DALY rates, where the risk-deleted rate is the rate that would be observed had we reduced the exposure levels to the TMREL for all risk factors included in GBD 2017.
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| 15. |
- Abbafati, Cristiana, et al.
(author)
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- 2020
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Journal article (peer-reviewed)
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| 16. |
- Antoniou, A. C., et al.
(author)
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Common variants in LSP1, 2q35 and 8q24 and breast cancer risk for BRCA1 and BRCA2 mutation carriers
- 2009
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In: Human Molecular Genetics. - [Antoniou, Antonis C.; McGuffog, Lesley; Peock, Susan; Cook, Margaret; Frost, Debra; Oliver, Clare; Platte, Radka; Pooley, Karen A.; Easton, Douglas F.] Univ Cambridge, Dept Publ Hlth & Primary Care, Canc Res UK Genet Epidemiol Unit, Cambridge, England. [Sinilnikova, Olga M.; Leone, Melanie] Univ Lyon, CNRS, Hosp Civils Lyon,Ctr Leon Berard,UMR5201, Unite Mixte Genet Constitut Canc Frequents, Lyon, France. [Healey, Sue; Spurdle, Amanda B.; Beesley, Jonathan; Chen, Xiaoqing; Chenevix-Trench, Georgia] Queensland Inst Med Res, Brisbane, Qld 4029, Australia. [Nevanlinna, Heli; Heikkinen, Tuomas] Univ Helsinki, Cent Hosp, Dept Obstet & Gynecol, FIN-00290 Helsinki, Finland. [Simard, Jacques] Univ Laval, Quebec City, PQ, Canada. [Simard, Jacques] Univ Quebec, Ctr Hosp, Canada Res Chair Oncogenet, Canc Genom Lab, Quebec City, PQ, Canada. Peter MacCallum Canc Inst, Melbourne, Vic 3002, Australia. [Neuhausen, Susan L.; Ding, Yuan C.] Univ Calif Irvine, Dept Epidemiol, Irvine, CA USA. [Couch, Fergus J.; Wang, Xianshu; Fredericksen, Zachary] Mayo Clin, Rochester, MN USA. [Peterlongo, Paolo; Peissel, Bernard; Radice, Paolo] Fdn IRCCS Ist Nazl Tumori, Milan, Italy. [Peterlongo, Paolo; Radice, Paolo] Fdn Ist FIRC Oncol Molecolare, Milan, Italy. [Bonanni, Bernardo; Bernard, Loris] Ist Europeo Oncol, Milan, Italy. [Viel, Alessandra] IRCCS, Ctr Riferimento Oncol, Aviano, Italy. [Bernard, Loris] Cogentech, Consortium Genom Technol, Milan, Italy. [Szabo, Csilla I.] Mayo Clin, Coll Med, Dept Lab Med & Pathol, Rochester, MN USA. [Foretova, Lenka] Masaryk Mem Canc Inst, Dept Canc Epidemiol & Genet, Brno, Czech Republic. [Zikan, Michal] Charles Univ Prague, Dept Biochem & Expt Oncol, Fac Med 1, Prague, Czech Republic. [Claes, Kathleen] Ghent Univ Hosp, Ctr Med Genet, B-9000 Ghent, Belgium. [Greene, Mark H.; Mai, Phuong L.] US Natl Canc Inst, Clin Genet Branch, Rockville, MD USA. [Rennert, Gad; Lejbkowicz, Flavio] CHS Natl Canc Control Ctr, Haifa, Israel. [Rennert, Gad; Lejbkowicz, Flavio] Carmel Hosp, Dept Community Med & Epidemiol, Haifa, Israel. [Rennert, Gad; Lejbkowicz, Flavio] B Rappaport Fac Med, Haifa, Israel. [Andrulis, Irene L.; Glendon, Gord] Canc Care Ontario, Ontario Canc Genet Network, Toronto, ON M5G 2L7, Canada. [Andrulis, Irene L.] Mt Sinai Hosp, Fred A Litwin Ctr Canc Genet, Samuel Lunenfeld Res Inst, Toronto, ON, Canada. [Andrulis, Irene L.] Univ Toronto, Dept Mol Genet, Toronto, ON, Canada. [Gerdes, Anne-Marie; Thomassen, Mads] Odense Univ Hosp, Dept Biochem Pharmacol & Genet, DK-5000 Odense, Denmark. [Sunde, Lone] Aarhus Univ Hosp, Dept Clin Genet, DK-8000 Aarhus, Denmark. [Caligo, Maria A.] Univ Pisa, Div Surg Mol & Ultrastructural Pathol, Dept Oncol, Pisa, Italy. [Caligo, Maria A.] Pisa Univ Hosp, Pisa, Italy. [Laitman, Yael; Kontorovich, Tair; Cohen, Shimrit; Friedman, Eitan] Chaim Sheba Med Ctr, Susanne Levy Gertner Oncogenet Unit, IL-52621 Tel Hashomer, Israel. [Kaufman, Bella] Chaim Sheba Med Ctr, Inst Oncol, IL-52621 Tel Hashomer, Israel. [Kaufman, Bella; Friedman, Eitan] Tel Aviv Univ, Sackler Sch Med, IL-69978 Tel Aviv, Israel. [Dagan, Efrat; Baruch, Ruth Gershoni] Rambam Med Ctr, Genet Inst, Haifa, Israel. [Harbst, Katja] Lund Univ, Dept Oncol, S-22100 Lund, Sweden. [Barbany-Bustinza, Gisela; Rantala, Johanna] Karolinska Univ Hosp, Dept Clin Genet, Stockholm, Sweden. [Ehrencrona, Hans] Uppsala Univ, Dept Genet & Pathol, Uppsala, Sweden. [Karlsson, Per] Sahlgrenska Univ, Dept Oncol, Gothenburg, Sweden. [Domchek, Susan M.; Nathanson, Katherine L.] Univ Penn, Philadelphia, PA 19104 USA. [Osorio, Ana; Benitez, Javier] Ctr Invest Biomed Red Enfermedades Raras CIBERERE, Inst Salud Carlos III, Madrid, Spain. [Osorio, Ana; Benitez, Javier] Spanish Natl Canc Ctr CNIO, Human Canc Genet Programme, Human Genet Grp, Madrid, Spain. [Blanco, Ignacio] Catalan Inst Oncol ICO, Canc Genet Counseling Program, Barcelona, Spain. [Lasa, Adriana] Hosp Santa Creu & Sant Pau, Genet Serv, Barcelona, Spain. [Hamann, Ute] Deutsch Krebsforschungszentrum, Neuenheimer Feld 580 69120, D-6900 Heidelberg, Germany. [Hogervorst, Frans B. L.] Netherlands Canc Inst, Dept Pathol, Family Canc Clin, NL-1066 CX Amsterdam, Netherlands. [Rookus, Matti A.] Netherlands Canc Inst, Dept Epidemiol, Amsterdam, Netherlands. [Collee, J. Margriet] Erasmus Univ, Dept Clin Genet, Rotterdam Family Canc Clin, Med Ctr, NL-3000 DR Rotterdam, Netherlands. [Devilee, Peter] Dept Genet Epidemiol, Leiden, Netherlands. [Wijnen, Juul] Leiden Univ, Med Ctr, Ctr Human & Clin Genet, Leiden, Netherlands. [Ligtenberg, Marjolijn J.] Radboud Univ Nijmegen, Med Ctr, Dept Human Genet, NL-6525 ED Nijmegen, Netherlands. [van der Luijt, Rob B.] Univ Utrecht, Med Ctr, Dept Clin Mol Genet, NL-3508 TC Utrecht, Netherlands. [Aalfs, Cora M.] Univ Amsterdam, Acad Med Ctr, Dept Clin Genet, NL-1105 AZ Amsterdam, Netherlands. [Waisfisz, Quinten] Vrije Univ Amsterdam, Med Ctr, Dept Clin Genet, Amsterdam, Netherlands. [van Roozendaal, Cornelis E. P.] Univ Med Ctr, Dept Clin Genet, Maastricht, Netherlands. [Evans, D. Gareth; Lalloo, Fiona] Cent Manchester Univ Hosp, NHS Fdn Trust, Manchester Acad Hlth Sci Ctr, Manchester, Lancs, England. [Eeles, Rosalind] Inst Canc Res, Translat Canc Genet Team, London SW3 6JB, England. [Eeles, Rosalind] Royal Marsden NHS Fdn Trust, London, England. [Izatt, Louise] Guys Hosp, Clin Genet, London SE1 9RT, England. [Davidson, Rosemarie] Ferguson Smith Ctr Clin Genet, Glasgow, Lanark, Scotland. [Chu, Carol] Yorkshire Reg Genet Serv, Leeds, W Yorkshire, England. [Eccles, Diana] Princess Anne Hosp, Wessex Clin Genet Serv, Southampton, Hants, England. [Cole, Trevor] Birmingham Womens Hosp Healthcare, NHS Trust, W Midlands Reg Genet Serv, Birmingham, W Midlands, England. [Hodgson, Shirley] Univ London, Dept Canc Genet, St Georges Hosp, London, England. [Godwin, Andrew K.; Daly, Mary B.] Fox Chase Canc Ctr, Philadelphia, PA 19111 USA. [Stoppa-Lyonnet, Dominique] Univ Paris 05, Paris, France. [Stoppa-Lyonnet, Dominique] Inst Curie, INSERM U509, Serv Genet Oncol, Paris, France. [Buecher, Bruno] Inst Curie, Dept Genet, Paris, France. [Bressac-de Paillerets, Brigitte; Remenieras, Audrey; Lenoir, Gilbert M.] Inst Cancrol Gustave Roussy, Dept Genet, Villejuif, France. [Bressac-de Paillerets, Brigitte] Inst Cancerol Gustave Roussy, INSERM U946, Villejuif, France. [Caron, Olivier] Inst Cancerol Gustave Roussy, Dept Med, Villejuif, France. [Lenoir, Gilbert M.] Inst Cancerol Gustave Roussy, CNRS FRE2939, Villejuif, France. [Sevenet, Nicolas; Longy, Michel] Inst Bergonie, Lab Genet Constitutionnelle, Bordeaux, France. [Longy, Michel] Inst Bergonie, INSERM U916, Bordeaux, France. [Ferrer, Sandra Fert] Hop Hotel Dieu, Ctr Hosp, Lab Genet Chromosom, Chambery, France. [Prieur, Fabienne] CHU St Etienne, Serv Genet Clin Chromosom, St Etienne, France. [Goldgar, David] Univ Utah, Dept Dermatol, Salt Lake City, UT 84112 USA. [Miron, Alexander; Yassin, Yosuf] Dana Farber Canc Inst, Boston, MA 02115 USA. [John, Esther M.] No Calif Canc Ctr, Fremont, CA USA. [John, Esther M.] Stanford Univ, Sch Med, Stanford, CA 94305 USA. [Buys, Saundra S.] Univ Utah, Hlth Sci Ctr, Huntsman Canc Inst, Salt Lake City, UT USA. [Hopper, John L.] Univ Melbourne, Melbourne, Australia. [Terry, Mary Beth] Columbia Univ, New York, NY USA. [Singer, Christian; Gschwantler-Kaulich, Daphne; Staudigl, Christine] Med Univ Vienna, Div Special Gynecol, Dept OB GYN, Vienna, Austria. [Hansen, Thomas V. O.] Univ Copenhagen, Rigshosp, Dept Clin Biochem, DK-2100 Copenhagen, Denmark. [Barkardottir, Rosa Bjork] Landspitali Univ Hosp, Dept Pathol, Reykjavik, Iceland. [Kirchhoff, Tomas; Pal, Prodipto; Kosarin, Kristi; Offit, Kenneth] Mem Sloan Kettering Canc Ctr, Dept Med, Clin Genet Serv, New York, NY 10021 USA. [Piedmonte, Marion] Roswell Pk Canc Inst, GOG Stat & Data Ctr, Buffalo, NY 14263 USA. [Rodriguez, Gustavo C.] Evanston NW Healthcare, NorthShore Univ Hlth Syst, Evanston, IL 60201 USA. [Wakeley, Katie] Tufts Univ, New England Med Ctr, Boston, MA 02111 USA. [Boggess, John F.] Univ N Carolina, Chapel Hill, NC 27599 USA. [Basil, Jack] St Elizabeth Hosp, Edgewood, KY 41017 USA. [Schwartz, Peter E.] Yale Univ, Sch Med, New Haven, CT 06510 USA. [Blank, Stephanie V.] New York Univ, Sch Med, New York, NY 10016 USA. [Toland, Amanda E.] Ohio State Univ, Dept Internal Med, Columbus, OH 43210 USA. [Toland, Amanda E.] Ohio State Univ, Div Human Canc Genet, Ctr Comprehens Canc, Columbus, OH 43210 USA. [Montagna, Marco; Casella, Cinzia] IRCCS, Ist Oncologico Veneto, Immunol & Mol Oncol Unit, Padua, Italy. [Imyanitov, Evgeny N.] NN Petrov Inst Res Inst, St Petersburg, Russia. [Allavena, Anna] Univ Turin, Dept Genet Biol & Biochem, Turin, Italy. [Schmutzler, Rita K.; Versmold, Beatrix; Arnold, Norbert] Univ Cologne, Dept Obstet & Gynaecol, Div Mol Gynaeco Oncol, Cologne, Germany. [Engel, Christoph] Univ Leipzig, Inst Med Informat Stat & Epidemiol, Leipzig, Germany. [Meindl, Alfons] Tech Univ Munich, Dept Obstet & Gynaecol, Munich, Germany. [Ditsch, Nina] Univ Munich, Dept Obstet & Gynecol, Munich, Germany. Univ Schleswig Holstein, Dept Obstet & Gynaecol, Campus Kiel, Germany. [Niederacher, Dieter] Univ Duesseldorf, Dept Obstet & Gynaecol, Mol Genet Lab, Dusseldorf, Germany. [Deissler, Helmut] Univ Ulm, Dept Obstet & Gynaecol, Ulm, Germany. [Fiebig, Britta] Univ Regensburg, Inst Human Genet, Regensburg, Germany. [Suttner, Christian] Univ Heidelberg, Inst Human Genet, Heidelberg, Germany. [Schoenbuchner, Ines] Univ Wurzburg, Inst Human Genet, D-8700 Wurzburg, Germany. [Gadzicki, Dorothea] Med Univ, Inst Cellular & Mol Pathol, Hannover, Germany. [Caldes, Trinidad; de la Hoya, Miguel] Hosp Clinico San Carlos 28040, Madrid, Spain. : Oxford University Press. - 0964-6906 .- 1460-2083. ; 18:22, s. 4442-4456
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Journal article (peer-reviewed)abstract
- Genome-wide association studies of breast cancer have identified multiple single nucleotide polymorphisms (SNPs) that are associated with increased breast cancer risks in the general population. In a previous study, we demonstrated that the minor alleles at three of these SNPs, in FGFR2, TNRC9 and MAP3K1, also confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. Three additional SNPs rs3817198 at LSP1, rs13387042 at 2q35 and rs13281615 at 8q24 have since been reported to be associated with breast cancer in the general population, and in this study we evaluated their association with breast cancer risk in 9442 BRCA1 and 5665 BRCA2 mutation carriers from 33 study centres. The minor allele of rs3817198 was associated with increased breast cancer risk only for BRCA2 mutation carriers [hazard ratio (HR) = 1.16, 95% CI: 1.07-1.25, P-trend = 2.8 × 10-4]. The best fit for the association of SNP rs13387042 at 2q35 with breast cancer risk was a dominant model for both BRCA1 and BRCA2 mutation carriers (BRCA1: HR = 1.14, 95% CI: 1.04-1.25, P = 0.0047; BRCA2: HR = 1.18 95% CI: 1.04-1.33, P = 0.0079). SNP rs13281615 at 8q24 was not associated with breast cancer for either BRCA1 or BRCA2 mutation carriers, but the estimated association for BRCA2 mutation carriers (per-allele HR = 1.06, 95% CI: 0.98-1.14) was consistent with odds ratio estimates derived from population-based case-control studies. The LSP1 and 2q35 SNPs appear to interact multiplicatively on breast cancer risk for BRCA2 mutation carriers. There was no evidence that the associations vary by mutation type depending on whether the mutated protein is predicted to be stable or not.
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| 17. |
- Jakubowska, A, et al.
(author)
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Association of PHB 1630 C andgt; T and MTHFR 677 C andgt; T polymorphisms with breast and ovarian cancer risk in BRCA1/2 mutation carriers: results from a multicenter study
- 2012
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In: British Journal of Cancer. - : Cancer Research UK / Nature Publishing Group. - 0007-0920 .- 1532-1827. ; 106:12, s. 2016-2024
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Journal article (peer-reviewed)abstract
- BACKGROUND: The variable penetrance of breast cancer in BRCA1/2 mutation carriers suggests that other genetic or environmental factors modify breast cancer risk. Two genes of special interest are prohibitin (PHB) and methylene-tetrahydrofolate reductase (MTHFR), both of which are important either directly or indirectly in maintaining genomic integrity. less thanbrgreater than less thanbrgreater thanMETHODS: To evaluate the potential role of genetic variants within PHB and MTHFR in breast and ovarian cancer risk, 4102 BRCA1 and 2093 BRCA2 mutation carriers, and 6211 BRCA1 and 2902 BRCA2 carriers from the Consortium of Investigators of Modifiers of BRCA1 and BRCA2 (CIMBA) were genotyped for the PHB 1630 Candgt;T (rs6917) polymorphism and the MTHFR 677 Candgt;T (rs1801133) polymorphism, respectively. less thanbrgreater than less thanbrgreater thanRESULTS: There was no evidence of association between the PHB 1630 Candgt;T and MTHFR 677 Candgt;T polymorphisms with either disease for BRCA1 or BRCA2 mutation carriers when breast and ovarian cancer associations were evaluated separately. Analysis that evaluated associations for breast and ovarian cancer simultaneously showed some evidence that BRCA1 mutation carriers who had the rare homozygote genotype (TT) of the PHB 1630 Candgt;T polymorphism were at increased risk of both breast and ovarian cancer (HR 1.50, 95% CI 1.10-2.04 and HR 2.16, 95% CI 1.24-3.76, respectively). However, there was no evidence of association under a multiplicative model for the effect of each minor allele. less thanbrgreater than less thanbrgreater thanCONCLUSION: The PHB 1630TT genotype may modify breast and ovarian cancer risks in BRCA1 mutation carriers. This association need to be evaluated in larger series of BRCA1 mutation carriers.
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| 19. |
- Osorio, A., et al.
(author)
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Evaluation of a candidate breast cancer associated SNP in ERCC4 as a risk modifier in BRCA1 and BRCA2 mutation carriers. Results from the consortium of investigators of modifiers of BRCA1/BRCA2 (CIMBA)
- 2009
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In: British Journal of Cancer. - : Nature Publishing Group. - 0007-0920 .- 1532-1827. ; 101:12, s. 2048-2054
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Journal article (peer-reviewed)abstract
- Background: In this study we aimed to evaluate the role of a SNP in intron 1 of the ERCC4 gene (rs744154), previously reported to be associated with a reduced risk of breast cancer in the general population, as a breast cancer risk modifier in BRCA1 and BRCA2 mutation carriers. Methods: We have genotyped rs744154 in 9408 BRCA1 and 5632 BRCA2 mutation carriers from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) and assessed its association with breast cancer risk using a retrospective weighted cohort approach. Results: We found no evidence of association with breast cancer risk for BRCA1 (per-allele HR: 0.98, 95% CI: 0.93-1.04, P0.5) or BRCA2 (per-allele HR: 0.97, 95% CI: 0.89-1.06, P0.5) mutation carriers. Conclusion: This SNP is not a significant modifier of breast cancer risk for mutation carriers, though weak associations cannot be ruled out.
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| 20. |
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| 21. |
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| 22. |
- Barnes, DR, et al.
(author)
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Breast and Prostate Cancer Risks for Male BRCA1 and BRCA2 Pathogenic Variant Carriers Using Polygenic Risk Scores
- 2022
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In: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 1460-2105 .- 0027-8874. ; 114:1, s. 109-122
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Journal article (peer-reviewed)abstract
- BackgroundRecent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers.Methods483 BRCA1 and 1318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were 3 versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen receptor (ER)–negative (PRSER-), or ER-positive (PRSER+) breast cancer risk.ResultsPRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07 to 1.83) for BRCA1 and 1.33 (95% CI = 1.16 to 1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for BRCA1 (OR = 1.73, 95% CI = 1.28 to 2.33) and BRCA2 (OR = 1.60, 95% CI = 1.34 to 1.91) carriers. The estimated breast cancer odds ratios were larger after adjusting for female relative breast cancer family history. By age 85 years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions.ConclusionsPopulation-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and informing clinical management.
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| 28. |
- Yan, C., et al.
(author)
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Size-dependent influence of NOx on the growth rates of organic aerosol particles
- 2020
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In: Science Advances. - : American Association for the Advancement of Science (AAAS). - 2375-2548. ; 6:22
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Journal article (peer-reviewed)abstract
- Atmospheric new-particle formation (NPF) affects climate by contributing to a large fraction of the cloud condensation nuclei (CCN). Highly oxygenated organic molecules (HOMs) drive the early particle growth and therefore substantially influence the survival of newly formed particles to CCN. Nitrogen oxide (NOx) is known to suppress the NPF driven by HOMs, but the underlying mechanism remains largely unclear. Here, we examine the response of particle growth to the changes of HOM formation caused by NOx. We show that NOx suppresses particle growth in general, but the suppression is rather nonuniform and size dependent, which can be quantitatively explained by the shifted HOM volatility after adding NOx. By illustrating how NOx affects the early growth of new particles, a critical step of CCN formation, our results help provide a refined assessment of the potential climatic effects caused by the diverse changes of NOx level in forest regions around the globe.
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| 29. |
- Hakkaart, C, et al.
(author)
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Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers
- 2022
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In: Communications biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 5:1, s. 1061-
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Journal article (peer-reviewed)abstract
- The contribution of germline copy number variants (CNVs) to risk of developing cancer in individuals with pathogenic BRCA1 or BRCA2 variants remains relatively unknown. We conducted the largest genome-wide analysis of CNVs in 15,342 BRCA1 and 10,740 BRCA2 pathogenic variant carriers. We used these results to prioritise a candidate breast cancer risk-modifier gene for laboratory analysis and biological validation. Notably, the HR for deletions in BRCA1 suggested an elevated breast cancer risk estimate (hazard ratio (HR) = 1.21), 95% confidence interval (95% CI = 1.09–1.35) compared with non-CNV pathogenic variants. In contrast, deletions overlapping SULT1A1 suggested a decreased breast cancer risk (HR = 0.73, 95% CI 0.59-0.91) in BRCA1 pathogenic variant carriers. Functional analyses of SULT1A1 showed that reduced mRNA expression in pathogenic BRCA1 variant cells was associated with reduced cellular proliferation and reduced DNA damage after treatment with DNA damaging agents. These data provide evidence that deleterious variants in BRCA1 plus SULT1A1 deletions contribute to variable breast cancer risk in BRCA1 carriers.
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| 31. |
- Dareng, EO, et al.
(author)
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Polygenic risk modeling for prediction of epithelial ovarian cancer risk
- 2022
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In: European journal of human genetics : EJHG. - : Springer Science and Business Media LLC. - 1476-5438 .- 1018-4813. ; 30:3, s. 349-362
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Journal article (peer-reviewed)abstract
- Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, “select and shrink for summary statistics” (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28–1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08–1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21–1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29–1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35–1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs.
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| 32. |
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| 33. |
- Wuttke, Matthias, et al.
(author)
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A catalog of genetic loci associated with kidney function from analyses of a million individuals
- 2019
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In: Nature Genetics. - : NATURE PUBLISHING GROUP. - 1061-4036 .- 1546-1718. ; 51:6, s. 957-972
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Journal article (peer-reviewed)abstract
- Chronic kidney disease (CKD) is responsible for a public health burden with multi-systemic complications. Through transancestry meta-analysis of genome-wide association studies of estimated glomerular filtration rate (eGFR) and independent replication (n = 1,046,070), we identified 264 associated loci (166 new). Of these,147 were likely to be relevant for kidney function on the basis of associations with the alternative kidney function marker blood urea nitrogen (n = 416,178). Pathway and enrichment analyses, including mouse models with renal phenotypes, support the kidney as the main target organ. A genetic risk score for lower eGFR was associated with clinically diagnosed CKD in 452,264 independent individuals. Colocalization analyses of associations with eGFR among 783,978 European-ancestry individuals and gene expression across 46 human tissues, including tubulo-interstitial and glomerular kidney compartments, identified 17 genes differentially expressed in kidney. Fine-mapping highlighted missense driver variants in 11 genes and kidney-specific regulatory variants. These results provide a comprehensive priority list of molecular targets for translational research.
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| 40. |
- Antoniou, Antonis C., et al.
(author)
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A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor-negative breast cancer in the general population
- 2010
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In: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 42:10, s. 885-892
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Journal article (peer-reviewed)abstract
- Germline BRCA1 mutations predispose to breast cancer. To identify genetic modifiers of this risk, we performed a genome-wide association study in 1,193 individuals with BRCA1 mutations who were diagnosed with invasive breast cancer under age 40 and 1,190 BRCA1 carriers without breast cancer diagnosis over age 35. We took forward 96 SNPs for replication in another 5,986 BRCA1 carriers (2,974 individuals with breast cancer and 3,012 unaffected individuals). Five SNPs on 19p13 were associated with breast cancer risk (P-trend = 2.3 x 10(-9) to Ptrend = 3.9 x 10(-7)), two of which showed independent associations (rs8170, hazard ratio (HR) = 1.26, 95% CI 1.17-1.35; rs2363956 HR = 0.84, 95% CI 0.80-0.89). Genotyping these SNPs in 6,800 population-based breast cancer cases and 6,613 controls identified a similar association with estrogen receptor-negative breast cancer (rs2363956 per-allele odds ratio (OR) = 0.83, 95% CI 0.75-0.92, P-trend = 0.0003) and an association with estrogen receptor-positive disease in the opposite direction (OR = 1.07, 95% CI 1.01-1.14, P-trend = 0.016). The five SNPs were also associated with triple-negative breast cancer in a separate study of 2,301 triple-negative cases and 3,949 controls (Ptrend = 1 x 10(-7) to Ptrend = 8 x 10(-5); rs2363956 per-allele OR = 0.80, 95% CI 0.74-0.87, P-trend = 1.1 x 10(-7)).
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| 41. |
- Couch, Fergus J., et al.
(author)
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Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer
- 2016
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In: Nature Communications. - : NATURE PUBLISHING GROUP. - 2041-1723. ; 7:11375, s. 1-13
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Journal article (peer-reviewed)abstract
- Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 x 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for similar to 11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.
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| 42. |
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| 43. |
- Kristan, M., et al.
(author)
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The Eighth Visual Object Tracking VOT2020 Challenge Results
- 2020
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In: Computer Vision. - Cham : Springer International Publishing. - 9783030682378 ; , s. 547-601
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Conference paper (peer-reviewed)abstract
- The Visual Object Tracking challenge VOT2020 is the eighth annual tracker benchmarking activity organized by the VOT initiative. Results of 58 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years. The VOT2020 challenge was composed of five sub-challenges focusing on different tracking domains: (i) VOT-ST2020 challenge focused on short-term tracking in RGB, (ii) VOT-RT2020 challenge focused on “real-time” short-term tracking in RGB, (iii) VOT-LT2020 focused on long-term tracking namely coping with target disappearance and reappearance, (iv) VOT-RGBT2020 challenge focused on short-term tracking in RGB and thermal imagery and (v) VOT-RGBD2020 challenge focused on long-term tracking in RGB and depth imagery. Only the VOT-ST2020 datasets were refreshed. A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in the VOT-ST challenges. A new VOT Python toolkit that implements all these novelites was introduced. Performance of the tested trackers typically by far exceeds standard baselines. The source code for most of the trackers is publicly available from the VOT page. The dataset, the evaluation kit and the results are publicly available at the challenge website (http://votchallenge.net ).
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| 44. |
- Zeng, Chenjie, et al.
(author)
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Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus
- 2016
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In: Breast Cancer Research. - : Springer Science and Business Media LLC. - 1465-5411 .- 1465-542X. ; 18
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Journal article (peer-reviewed)abstract
- Background: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. Method: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation. Results: Analysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06-1.12; P = 3 x 10(-9)), rs805510 (OR = 1.08, 95 % CI = 1.04-1.12, P = 2 x 10(-5)), and rs1871152 (OR = 1.04, 95 % CI = 1.02-1.06; P = 2 x 10(-4)) identified in the general populations, and rs113824616 (P = 7 x 10(-5)) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P < 0.05 in East Asians, but none of the associations were statistically significant in African descendants. Multiple candidate functional variants are located in putative enhancer sequences. Chromatin interaction data suggested that PTHLH was the likely target gene of these enhancers. Of the six variants with the strongest evidence of potential functionality, rs11049453 was statistically significantly associated with the expression of PTHLH and its nearby gene CCDC91 at P < 0.05. Conclusion: This study identified four independent association signals at 12p11 and revealed potentially functional variants, providing additional insights into the underlying biological mechanism(s) for the association observed between variants at 12p11 and breast cancer risk.
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| 45. |
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| 46. |
- Muller, D. C., et al.
(author)
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No association between circulating concentrations of vitamin D and risk of lung cancer : an analysis in 20 prospective studies in the Lung Cancer Cohort Consortium (LC3)
- 2018
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In: Annals of Oncology. - : Oxford University Press. - 0923-7534 .- 1569-8041. ; 29:6, s. 1468-1475
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Journal article (peer-reviewed)abstract
- Background: There is observational evidence suggesting that high vitamin D concentrations may protect against lung cancer. To investigate this hypothesis in detail, we measured circulating vitamin D concentrations in prediagnostic blood from 20 cohorts participating in the Lung Cancer Cohort Consortium (LC3).Patients and methods: The study included 5313 lung cancer cases and 5313 controls. Blood samples for the cases were collected, on average, 5 years before lung cancer diagnosis. Controls were individually matched to the cases by cohort, sex, age, race/ethnicity, date of blood collection, and smoking status in five categories. Liquid chromatography coupled with tandem mass spectrometry was used to separately analyze 25-hydroxyvitamin D2 [25(OH)D2] and 25-hydroxyvitamin D3 [25(OH)D3] and their concentrations were combined to give an overall measure of 25(OH)D. We used conditional logistic regression to calculate odds ratios (ORs) and 95% confidence intervals (CIs) for 25(OH)D as both continuous and categorical variables.Results: Overall, no apparent association between 25(OH)D and risk of lung cancer was observed (multivariable adjusted OR for a doubling in concentration: 0.98, 95% CI: 0.91, 1.06). Similarly, we found no clear evidence of interaction by cohort, sex, age, smoking status, or histology.Conclusion: This study did not support an association between vitamin D concentrations and lung cancer risk.
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| 47. |
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| 48. |
- Antoniou, Antonis C., et al.
(author)
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Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers
- 2011
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In: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 20:16, s. 3304-3321
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Journal article (peer-reviewed)abstract
- Two single nucleotide polymorphisms (SNPs) at 6q25.1, near the ESR1 gene, have been implicated in the susceptibility to breast cancer for Asian (rs2046210) and European women (rs9397435). A genome-wide association study in Europeans identified two further breast cancer susceptibility variants: rs11249433 at 1p11.2 and rs999737 in RAD51L1 at 14q24.1. Although previously identified breast cancer susceptibility variants have been shown to be associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers, the involvement of these SNPs to breast cancer susceptibility in mutation carriers is currently unknown. To address this, we genotyped these SNPs in BRCA1 and BRCA2 mutation carriers from 42 studies from the Consortium of Investigators of Modifiers of BRCA1/2. In the analysis of 14 123 BRCA1 and 8053 BRCA2 mutation carriers of European ancestry, the 6q25.1 SNPs (r(2) = 0.14) were independently associated with the risk of breast cancer for BRCA1 mutation carriers [ hazard ratio (HR) = 1.17, 95% confidence interval (CI): 1.11-1.23, P-trend = 4.5 x 10(-9) for rs2046210; HR = 1.28, 95% CI: 1.18-1.40, P-trend = 1.3 x 10(-8) for rs9397435], but only rs9397435 was associated with the risk for BRCA2 carriers (HR = 1.14, 95% CI: 1.01-1.28, P-trend = 0.031). SNP rs11249433 (1p11.2) was associated with the risk of breast cancer for BRCA2 mutation carriers (HR = 1.09, 95% CI: 1.02-1.17, P-trend = 0.015), but was not associated with breast cancer risk for BRCA1 mutation carriers (HR = 0.97, 95% CI: 0.92-1.02, P-trend = 0.20). SNP rs999737 (RAD51L1) was not associated with breast cancer risk for either BRCA1 or BRCA2 mutation carriers (P-trend = 0.27 and 0.30, respectively). The identification of SNPs at 6q25.1 associated with breast cancer risk for BRCA1 mutation carriers will lead to a better understanding of the biology of tumour development in these women.
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| 49. |
- Bolton, Kelly L., et al.
(author)
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Association Between BRCA1 and BRCA2 Mutations and Survival in Women With Invasive Epithelial Ovarian Cancer
- 2012
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In: JAMA: The Journal of the American Medical Association. - : American Medical Association (AMA). - 1538-3598. ; 307:4, s. 382-390
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Journal article (peer-reviewed)abstract
- Context Approximately 10% of women with invasive epithelial ovarian cancer (EOC) carry deleterious germline mutations in BRCA1 or BRCA2. A recent article suggested that BRCA2-related EOC was associated with an improved prognosis, but the effect of BRCA1 remains unclear. Objective To characterize the survival of BRCA carriers with EOC compared with noncarriers and to determine whether BRCA1 and BRCA2 carriers show similar survival patterns. Design, Setting, and Participants A pooled analysis of 26 observational studies on the survival of women with ovarian cancer, which included data from 1213 EOC cases with pathogenic germline mutations in BRCA1 (n=909) or BRCA2 (n=304) and from 2666 noncarriers recruited and followed up at variable times between 1987 and 2010 (the median year of diagnosis was 1998). Main Outcome Measure Five-year overall mortality. Results The 5-year overall survival was 36% (95% CI, 34%-38%) for noncarriers, 44% (95% CI, 40%-48%) for BRCA1 carriers, and 52% (95% CI, 46%-58%) for BRCA2 carriers. After adjusting for study and year of diagnosis, BRCA1 and BRCA2 mutation carriers showed a more favorable survival than noncarriers (for BRCA1: hazard ratio [HR], 0.78; 95% CI, 0.68-0.89; P<.001; and for BRCA2: HR, 0.61; 95% CI, 0.50-0.76; P<.001). These survival differences remained after additional adjustment for stage, grade, histology, and age at diagnosis (for BRCA1: HR, 0.73; 95% CI, 0.64-0.84; P<.001; and for BRCA2: HR, 0.49; 95% CI, 0.39-0.61; P<.001). The BRCA1 HR estimate was significantly different from the HR estimated in the adjusted model (P for heterogeneity=.003). Conclusion Among patients with invasive EOC, having a germline mutation in BRCA1 or BRCA2 was associated with improved 5-year overall survival. BRCA2 carriers had the best prognosis. JAMA. 2012;307(4):382-390
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