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2. |
- Figlioli, G, et al.
(författare)
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The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer
- 2019
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Ingår i: NPJ breast cancer. - : Springer Science and Business Media LLC. - 2374-4677. ; 5, s. 38-
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Tidskriftsartikel (refereegranskat)abstract
- Breast cancer is a common disease partially caused by genetic risk factors. Germline pathogenic variants in DNA repair genes BRCA1, BRCA2, PALB2, ATM, and CHEK2 are associated with breast cancer risk. FANCM, which encodes for a DNA translocase, has been proposed as a breast cancer predisposition gene, with greater effects for the ER-negative and triple-negative breast cancer (TNBC) subtypes. We tested the three recurrent protein-truncating variants FANCM:p.Arg658*, p.Gln1701*, and p.Arg1931* for association with breast cancer risk in 67,112 cases, 53,766 controls, and 26,662 carriers of pathogenic variants of BRCA1 or BRCA2. These three variants were also studied functionally by measuring survival and chromosome fragility in FANCM−/− patient-derived immortalized fibroblasts treated with diepoxybutane or olaparib. We observed that FANCM:p.Arg658* was associated with increased risk of ER-negative disease and TNBC (OR = 2.44, P = 0.034 and OR = 3.79; P = 0.009, respectively). In a country-restricted analysis, we confirmed the associations detected for FANCM:p.Arg658* and found that also FANCM:p.Arg1931* was associated with ER-negative breast cancer risk (OR = 1.96; P = 0.006). The functional results indicated that all three variants were deleterious affecting cell survival and chromosome stability with FANCM:p.Arg658* causing more severe phenotypes. In conclusion, we confirmed that the two rare FANCM deleterious variants p.Arg658* and p.Arg1931* are risk factors for ER-negative and TNBC subtypes. Overall our data suggest that the effect of truncating variants on breast cancer risk may depend on their position in the gene. Cell sensitivity to olaparib exposure, identifies a possible therapeutic option to treat FANCM-associated tumors.
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3. |
- Lawrenson, Kate, et al.
(författare)
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Functional mechanisms underlying pleiotropic risk alleles at the 19p13.1 breast-ovarian cancer susceptibility locus
- 2016
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Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7
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Tidskriftsartikel (refereegranskat)abstract
- A locus at 19p13 is associated with breast cancer (BC) and ovarian cancer (OC) risk. Here we analyse 438 SNPs in this region in 46,451 BC and 15,438 OC cases, 15,252 BRCA1 mutation carriers and 73,444 controls and identify 13 candidate causal SNPs associated with serous OC (P=9.2 × 10-20), ER-negative BC (P=1.1 × 10-13), BRCA1-associated BC (P=7.7 × 10-16) and triple negative BC (P-diff=2 × 10-5). Genotype-gene expression associations are identified for candidate target genes ANKLE1 (P=2 × 10-3) and ABHD8 (P<2 × 10-3). Chromosome conformation capture identifies interactions between four candidate SNPs and ABHD8, and luciferase assays indicate six risk alleles increased transactivation of the ADHD8 promoter. Targeted deletion of a region containing risk SNP rs56069439 in a putative enhancer induces ANKLE1 downregulation; and mRNA stability assays indicate functional effects for an ANKLE1 3′-UTR SNP. Altogether, these data suggest that multiple SNPs at 19p13 regulate ABHD8 and perhaps ANKLE1 expression, and indicate common mechanisms underlying breast and ovarian cancer risk.
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4. |
- Antoniou, A. C., et al.
(författare)
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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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Ingår i: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 70:23, s. 9742-9754
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Tidskriftsartikel (refereegranskat)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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5. |
- Antoniou, A. C., et al.
(författare)
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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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Ingår i: 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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Tidskriftsartikel (refereegranskat)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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- Hollestelle, Antoinette, et al.
(författare)
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No clinical utility of KRAS variant rs61764370 for ovarian or breast cancer
- 2016
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Ingår i: Gynecologic Oncology. - : Elsevier BV. - 0090-8258 .- 1095-6859. ; 141:2, s. 386-401
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Tidskriftsartikel (refereegranskat)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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- Couch, Fergus J., et al.
(författare)
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Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer
- 2016
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Ingår i: Nature Communications. - : NATURE PUBLISHING GROUP. - 2041-1723. ; 7:11375, s. 1-13
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Tidskriftsartikel (refereegranskat)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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- Ferreira, MA, et al.
(författare)
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Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer
- 2019
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Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 1741-
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Tidskriftsartikel (refereegranskat)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.
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- Osorio, A., et al.
(författare)
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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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Ingår i: British Journal of Cancer. - : Nature Publishing Group. - 0007-0920 .- 1532-1827. ; 101:12, s. 2048-2054
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Tidskriftsartikel (refereegranskat)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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- Barnes, DR, et al.
(författare)
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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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Ingår i: Journal of the National Cancer Institute. - : Oxford University Press (OUP). - 1460-2105 .- 0027-8874. ; 114:1, s. 109-122
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Tidskriftsartikel (refereegranskat)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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- Dareng, EO, et al.
(författare)
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Polygenic risk modeling for prediction of epithelial ovarian cancer risk
- 2022
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Ingår i: 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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Tidskriftsartikel (refereegranskat)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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29. |
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30. |
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31. |
- Hakkaart, C, et al.
(författare)
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Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers
- 2022
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Ingår i: Communications biology. - : Springer Science and Business Media LLC. - 2399-3642. ; 5:1, s. 1061-
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Tidskriftsartikel (refereegranskat)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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32. |
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35. |
- Zeng, Chenjie, et al.
(författare)
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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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Ingår i: Breast Cancer Research. - : Springer Science and Business Media LLC. - 1465-5411 .- 1465-542X. ; 18
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Tidskriftsartikel (refereegranskat)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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36. |
- Hamdi, Yosr, et al.
(författare)
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Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression : identification of a modifier of breast cancer risk at locus 11q22.3
- 2017
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Ingår i: Breast Cancer Research and Treatment. - : Springer Science and Business Media LLC. - 0167-6806 .- 1573-7217. ; 161:1, s. 117-134
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Cis-acting regulatory SNPs resulting in differential allelic expression (DAE) may, in part, explain the underlying phenotypic variation associated with many complex diseases. To investigate whether common variants associated with DAE were involved in breast cancer susceptibility among BRCA1 and BRCA2 mutation carriers, a list of 175 genes was developed based of their involvement in cancer-related pathways. Methods: Using data from a genome-wide map of SNPs associated with allelic expression, we assessed the association of ~320 SNPs located in the vicinity of these genes with breast and ovarian cancer risks in 15,252 BRCA1 and 8211 BRCA2 mutation carriers ascertained from 54 studies participating in the Consortium of Investigators of Modifiers of BRCA1/2. Results: We identified a region on 11q22.3 that is significantly associated with breast cancer risk in BRCA1 mutation carriers (most significant SNP rs228595 p = 7 × 10−6). This association was absent in BRCA2 carriers (p = 0.57). The 11q22.3 region notably encompasses genes such as ACAT1, NPAT, and ATM. Expression quantitative trait loci associations were observed in both normal breast and tumors across this region, namely for ACAT1, ATM, and other genes. In silico analysis revealed some overlap between top risk-associated SNPs and relevant biological features in mammary cell data, which suggests potential functional significance. Conclusion: We identified 11q22.3 as a new modifier locus in BRCA1 carriers. Replication in larger studies using estrogen receptor (ER)-negative or triple-negative (i.e., ER-, progesterone receptor-, and HER2-negative) cases could therefore be helpful to confirm the association of this locus with breast cancer risk.
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37. |
- Osorio, Ana, et al.
(författare)
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DNA Glycosylases Involved in Base Excision Repair May Be Associated with Cancer Risk in BRCA1 and BRCA2 Mutation Carriers.
- 2014
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Ingår i: PLoS Genetics. - : Public Library of Science (PLoS). - 1553-7404. ; 10:4
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Tidskriftsartikel (refereegranskat)abstract
- Single Nucleotide Polymorphisms (SNPs) in genes involved in the DNA Base Excision Repair (BER) pathway could be associated with cancer risk in carriers of mutations in the high-penetrance susceptibility genes BRCA1 and BRCA2, given the relation of synthetic lethality that exists between one of the components of the BER pathway, PARP1 (poly ADP ribose polymerase), and both BRCA1 and BRCA2. In the present study, we have performed a comprehensive analysis of 18 genes involved in BER using a tagging SNP approach in a large series of BRCA1 and BRCA2 mutation carriers. 144 SNPs were analyzed in a two stage study involving 23,463 carriers from the CIMBA consortium (the Consortium of Investigators of Modifiers of BRCA1 and BRCA2). Eleven SNPs showed evidence of association with breast and/or ovarian cancer at p<0.05 in the combined analysis. Four of the five genes for which strongest evidence of association was observed were DNA glycosylases. The strongest evidence was for rs1466785 in the NEIL2 (endonuclease VIII-like 2) gene (HR: 1.09, 95% CI (1.03-1.16), p = 2.7×10-3) for association with breast cancer risk in BRCA2 mutation carriers, and rs2304277 in the OGG1 (8-guanine DNA glycosylase) gene, with ovarian cancer risk in BRCA1 mutation carriers (HR: 1.12 95%CI: 1.03-1.21, p = 4.8×10-3). DNA glycosylases involved in the first steps of the BER pathway may be associated with cancer risk in BRCA1/2 mutation carriers and should be more comprehensively studied.
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38. |
- Antoniou, Antonis C., et al.
(författare)
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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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Ingår i: Nature Genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 42:10, s. 885-892
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Tidskriftsartikel (refereegranskat)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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39. |
- Gaudet, Mia M., et al.
(författare)
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Common Genetic Variants and Modification of Penetrance of BRCA2-Associated Breast Cancer
- 2010
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Ingår i: PLoS Genetics. - : Public Library of Science (PLoS). - 1553-7404. ; 6:10
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Tidskriftsartikel (refereegranskat)abstract
- The considerable uncertainty regarding cancer risks associated with inherited mutations of BRCA2 is due to unknown factors. To investigate whether common genetic variants modify penetrance for BRCA2 mutation carriers, we undertook a two-staged genome-wide association study in BRCA2 mutation carriers. In stage 1 using the Affymetrix 6.0 platform, 592,163 filtered SNPs genotyped were available on 899 young (, 40 years) affected and 804 unaffected carriers of European ancestry. Associations were evaluated using a survival-based score test adjusted for familial correlations and stratified by country of the study and BRCA2*6174delT mutation status. The genomic inflation factor (lambda) was 1.011. The stage 1 association analysis revealed multiple variants associated with breast cancer risk: 3 SNPs had p-values, 10 25 and 39 SNPs had p-values<10(-4). These variants included several previously associated with sporadic breast cancer risk and two novel loci on chromosome 20 (rs311499) and chromosome 10 (rs16917302). The chromosome 10 locus was in ZNF365, which contains another variant that has recently been associated with breast cancer in an independent study of unselected cases. In stage 2, the top 85 loci from stage 1 were genotyped in 1,264 cases and 1,222 controls. Hazard ratios (HR) and 95% confidence intervals (CI) for stage 1 and 2 were combined and estimated using a retrospective likelihood approach, stratified by country of residence and the most common mutation, BRCA2*6174delT. The combined per allele HR of the minor allele for the novel loci rs16917302 was 0.75 (95% CI 0.66-0.86, p = 3: 8 x 10(-5)) and for rs311499 was 0.72 (95% CI 0.61-0.85, p = 6: 6 x 10(-5)). FGFR2 rs2981575 had the strongest association with breast cancer risk (per allele HR = 1.28, 95% CI 1.18-1.39, p = 1: 2 x 10(-8)). These results indicate that SNPs that modify BRCA2 penetrance identified by an agnostic approach thus far are limited to variants that also modify risk of sporadic BRCA2 wild-type breast cancer.
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43. |
- Antoniou, Antonis C., et al.
(författare)
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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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Ingår i: Human Molecular Genetics. - : Oxford University Press (OUP). - 0964-6906 .- 1460-2083. ; 20:16, s. 3304-3321
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Tidskriftsartikel (refereegranskat)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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45. |
- Rebbeck, Timothy R., et al.
(författare)
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Inheritance of deleterious mutations at both BRCA1 and BRCA2 in an international sample of 32,295 women
- 2016
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Ingår i: Breast Cancer Research. - : Springer Science and Business Media LLC. - 1465-5411 .- 1465-542X. ; 18:1
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Tidskriftsartikel (refereegranskat)abstract
- Background: Most BRCA1 or BRCA2 mutation carriers have inherited a single (heterozygous) mutation. Transheterozygotes (TH) who have inherited deleterious mutations in both BRCA1 and BRCA2 are rare, and the consequences of transheterozygosity are poorly understood. Methods: From 32,295 female BRCA1/2 mutation carriers, we identified 93 TH (0.3 %). "Cases" were defined as TH, and "controls" were single mutations at BRCA1 (SH1) or BRCA2 (SH2). Matched SH1 "controls" carried a BRCA1 mutation found in the TH "case". Matched SH2 "controls" carried a BRCA2 mutation found in the TH "case". After matching the TH carriers with SH1 or SH2, 91 TH were matched to 9316 SH1, and 89 TH were matched to 3370 SH2. Results: The majority of TH (45.2 %) involved the three common Jewish mutations. TH were more likely than SH1 and SH2 women to have been ever diagnosed with breast cancer (BC; p = 0.002). TH were more likely to be diagnosed with ovarian cancer (OC) than SH2 (p = 0.017), but not SH1. Age at BC diagnosis was the same in TH vs. SH1 (p = 0.231), but was on average 4.5 years younger in TH than in SH2 (p < 0.001). BC in TH was more likely to be estrogen receptor (ER) positive (p = 0.010) or progesterone receptor (PR) positive (p = 0.013) than in SH1, but less likely to be ER positive (p < 0.001) or PR positive (p = 0.012) than SH2. Among 15 tumors from TH patients, there was no clear pattern of loss of heterozygosity (LOH) for BRCA1 or BRCA2 in either BC or OC. Conclusions: Our observations suggest that clinical TH phenotypes resemble SH1. However, TH breast tumor marker characteristics are phenotypically intermediate to SH1 and SH2.
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47. |
- Parsons, Michael T, et al.
(författare)
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Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants : An ENIGMA resource to support clinical variant classification
- 2019
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; , s. 1557-1578
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Tidskriftsartikel (refereegranskat)abstract
- The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared to information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known non-pathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification. This article is protected by copyright. All rights reserved.
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48. |
- Phelan, C M, et al.
(författare)
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Classification of BRCA1 missense variants of unknown clinical significance
- 2005
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Ingår i: Journal of Medical Genetics. - : BMJ. - 0022-2593 .- 1468-6244. ; 42:2, s. 138-146
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Tidskriftsartikel (refereegranskat)abstract
- Background: BRCA1 is a tumour suppressor with pleiotropic actions. Germline mutations in BRCA1 are responsible for a large proportion of breast - ovarian cancer families. Several missense variants have been identified throughout the gene but because of lack of information about their impact on the function of BRCA1, predictive testing is not always informative. Classification of missense variants into deleterious/ high risk or neutral/low clinical significance is essential to identify individuals at risk. Objective: To investigate a panel of missense variants. Methods and results: The panel was investigated in a comprehensive framework that included ( 1) a functional assay based on transcription activation; ( 2) segregation analysis and a method of using incomplete pedigree data to calculate the odds of causality; ( 3) a method based on interspecific sequence variation. It was shown that the transcriptional activation assay could be used as a test to characterise mutations in the carboxy-terminus region of BRCA1 encompassing residues 1396 - 1863. Thirteen missense variants (H1402Y, L1407P, H1421Y, S1512I, M1628T, M1628V, T1685I, G1706A, T1720A, A1752P, G1788V, V1809F, and W1837R) were specifically investigated. Conclusions: While individual classification schemes for BRCA1 alleles still present limitations, a combination of several methods provides a more powerful way of identifying variants that are causally linked to a high risk of breast and ovarian cancer. The framework presented here brings these variants nearer to clinical applicability.
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50. |
- Thomassen, Mads, et al.
(författare)
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Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants : Application of a points-based ACMG/AMP approach
- 2022
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Ingår i: Human Mutation. - : Hindawi Limited. - 1059-7794 .- 1098-1004. ; 43:12, s. 1921-1944
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Tidskriftsartikel (refereegranskat)abstract
- Skipping of BRCA2 exon 3 (∆E3) is a naturally occurring splicing event, complicating clinical classification of variants that may alter ∆E3 expression. This study used multiple evidence types to assess pathogenicity of 85 variants in/near BRCA2 exon 3. Bioinformatically predicted spliceogenic variants underwent mRNA splicing analysis using minigenes and/or patient samples. ∆E3 was measured using quantitative analysis. A mouse embryonic stem cell (mESC) based assay was used to determine the impact of 18 variants on mRNA splicing and protein function. For each variant, population frequency, bioinformatic predictions, clinical data, and existing mRNA splicing and functional results were collated. Variant class was assigned using a gene-specific adaptation of ACMG/AMP guidelines, following a recently proposed points-based system. mRNA and mESC analysis combined identified six variants with transcript and/or functional profiles interpreted as loss of function. Cryptic splice site use for acceptor site variants generated a transcript encoding a shorter protein that retains activity. Overall, 69/85 (81%) variants were classified using the points-based approach. Our analysis shows the value of applying gene-specific ACMG/AMP guidelines using a points-based approach and highlights the consideration of cryptic splice site usage to appropriately assign PVS1 code strength.
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