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Spurdle, Amanda B

0000-0003-1337-7897

Mayo Clinic

Population Health Program, QIMR Berghofer Medical Research Institute, Brisbane, Australia.

Citations 24

Modification of Ovarian Cancer Risk by BRCA1/2 -Interacting Genes in a Multicenter Cohort of BRCA1/2 Mutation Carriers
Chuai, Shannon, Friebel, Tara M. , Panossian, Saarene, Spurdle, Amanda B. , Chenevix‐Trench, Georgia , kConFab, Pfeiler, Georg , Lynch, Henry T., Weitzel, Jeffrey N. , Narod, Steven A. , Rubinstein, Wendy S. , Olopade, Olufunmilayo I. , Blum, Joanne L. , Nathanson, Katherine L. , Daly, Mary B., Rebbeck, Timothy R. , Mitra, Nandita , Domchek, Susan M. , Wan, Fei , kConFab, Singer, Christian F. , Neuhausen, Susan L. , Garber, Judy E. , Isaacs, Claudine , Couch, Fergus J. , Tomlinson, Gail Elizabeth , Ganz, Patricia A. , Tung, Nadine , Greenberg, Roger A. , Spurdle, Amanda B , Weitzel, Jeffrey N , Olopade, Olufunmilayo I , Nathanson, Katherine L , Chenevix-Trench, Georgia

Cancer Research | July 7, 2009 | Volume: 69 | Issue: 14 | Pages: 5801-5810

10.1158/0008-5472.can-09-0625 Get It

Abstract Inherited BRCA1/2 mutations confer elevated ovarian cancer risk. Knowledge of factors that can improve ovarian cancer risk assessment in BRCA1/2 mutation carriers is important because no effective early detection for ovarian cancers exists. A cohort of 1,575 BRCA1 and 856 BRCA2 mutation carriers was used to evaluate haplotypes at ATM, BARD1, BRIP1, CTIP, MRE11, NBS1, RAD50, RAD51, and TOPBP1 in ovarian cancer risk. In BRCA1 carriers, no associations were observed with ATM, BARD1, CTIP, RAD50, RAD51, or TOPBP1. At BRIP1, an association was observed for one haplotype with a multiple testing corrected P (Pcorr) = 0.012, although no individual haplotype was significant. At MRE11, statistically significant associations were observed for one haplotype (Pcorr = 0.007). At NBS1, we observed a Pcorr = 0.024 for haplotypes. In BRCA2 carriers, no associations were observed with CTIP, NBS1, RAD50, or TOPBP1. Rare haplotypes at ATM (Pcorr = 0.044) and BARD1 (Pcorr = 0.012) were associated with ovarian cancer risk. At BRIP1, two common haplotypes were significantly associated with ovarian cancer risk (Pcorr = 0.011). At MRE11, we observed a significant haplotype association (Pcorr = 0.012), and at RAD51, one common haplotype was significantly associated with ovarian cancer risk (Pcorr = 0.026). Variants in genes that interact biologically withBRCA1 and/or BRCA2 may be associated with modified ovarian cancer risk in women who carry BRCA1/2 mutations. [Cancer Res 2009;69(14):5801–10]
Five Polymorphisms and Breast Cancer Risk: Results from the Breast Cancer Association Consortium
Gaudet, Mia M., Cox, Angela , Camp, Nicola J. , Goode, Ellen L. , Humphreys, Manjeet K., Dunning, Alison M. , Giles, Graham G. , Severi, Gianluca , Baglietto, Laura , English, Dallas R. , Chang‐Claude, Jenny , Flesch‐Janys, Dieter, Abbas, Sascha, Salazar, Ramona, Mannermaa, Arto, Kataja, Vesa , Kosma, Veli-Matti, Lindblom, Annika , Margolin, Sara , Heikkinen, Tuomas , Kämpjärvi, Kati, Aaltonen, Kirsimari, Nevanlinna, Heli , Bogdanova, Natalia , Coinac, Irina, Schürmann, Peter , Dörk, Thilo , Bartram, Claus R., Schmutzler, Rita K., Tchatchou, Sandrine, Burwinkel, Barbara , Brauch, Hiltrud , Torres, Diana , Hamann, Ute, Justenhoven, Christina , Ribas, Gloría , Flyger, Henrik L., Peto, Julian , Fletcher, Olivia , Johnson, Nichola , dos‐Santos‐Silva, Isabel , Fasching, Peter A. , Beckmann, Matthias W. , Strick, Reiner , Ekici, Arif B. , Schmidt, Marjanka K. , Leeuwen, Flora E. van , Veer, Laura J. van’t , Southey, Melissa C. , Hopper, John L. , Apicella, Carmel, Haiman, Christopher A., Henderson, Brian E., Kolonel, Laurence N. , Kristensen, Vessela N. , Alnæs, Grethe Grenaker, Hunter, David J. , Cox, David G. , Hankinson, Susan E. , Seynaeve, Caroline, Tollenaar, Rob A.�E.�M. , Lissowska, Jolanta , Brinton, Louise A. , Pepłońska, Beata , Czene, Kamila , Li, Yuqing , Liu, Jianjun , Balasubramanian, Sabapathy P. , Rafii, Saeed , Reed, Malcolm , Pooley, Karen A. , Conroy, Don, Baynes, Caroline, Kang, Daehee , Yoo, Keun-Young, Noh, Dong‐Young , Ahn, Sei-Hyun, Shen, Chen‐Yang , Wang, Hui‐Chun , Yu, Jyh-Cherng, Wu, Pei-Ei, Ziogoas, Argyrios, Egan, Kathleen M. , Titus‐Ernstoff, Linda, Dietz, Amy Trentham, Sigurdson, Alice J., Bhatti, Parveen , Allen‐Brady, Kristina , Cannon‐Albright, Lisa , Wong, Jathine , Group, Australian Ovarian Cancer Study, Chenevix‐Trench, Georgia , Spurdle, Amanda B. , Beesley, Jonathan, Easton, Doug , García‐Closas, Montserrat , Thorne, Heather , Li, Yuqing , Milne, Roger L. , Morrison, Jonathan J. , Couch, Fergus J. , Olson, Janet E. , Wang, Xianshu , Mannermaa, Arto, Arias, José Ignacio , Benı́tez, Javier , Bojesen, Stig E. , Nordestgaard, Børge G. , Flyger, Henrik, Broeks, Annegien , Marchand, Loı̈c Le , Kraft, Peter , Vreeswijk, Maaike P.G. , Devilee, Peter , Chanock, Stephen Jacob , Hall, Per N , Anton‐Culver, Hoda , Newcomb, Polly A. , Alexander, Bruce H. , Group, Australian Ovarian Cancer Study, Pharoah, Paul D.P. , Nevanlinna, H , Dörk, Thilo , Giles, Graham G , Spurdle, Amanda B , Lissowska, Jolanta , Southey, Melissa C , English, Dallas R , Cannon-Albright, Lisa A , Dunning, Alison M , Cox, Angela , Torres, Diana , García-Closas, Montserrat , Schmidt, Marjanka K , Severi, Gianluca , Ekici, Arif B , Bogdanova, Natalia V , Chenevix-Trench, Georgia , Bhatti, Parveen , Czene, Kamila , Rafii, Saeed , Baglietto, Laura , Fletcher, Olivia , Brauch, Hiltrud , Lindblom, Annika , Liu, Jing , Kang, Daehee

Cancer Epidemiology, Biomarkers & Prevention | May 7, 2009 | Volume: 18 | Issue: 5 | Pages: 1610-1616

10.1158/1055-9965.epi-08-0745 Get It

Abstract Previous studies have suggested that minor alleles for ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 may influence breast cancer risk, but the evidence is inconclusive due to their small sample size. These polymorphisms were genotyped in more than 30,000 breast cancer cases and 30,000 controls, primarily of European descent, from 30 studies in the Breast Cancer Association Consortium. We calculated odds ratios (OR) and 95% confidence intervals (95% CI) as a measure of association. We found that the minor alleles for these polymorphisms were not related to invasive breast cancer risk overall in women of European descent: ECCR4 per-allele OR (95% CI) = 0.99 (0.97-1.02), minor allele frequency = 27.5%; TNF 1.00 (0.95-1.06), 5.0%; CASP10 1.02 (0.98-1.07), 6.5%; PGR 1.02 (0.99-1.06), 15.3%; and BID 0.98 (0.86-1.12), 1.7%. However, we observed significant between-study heterogeneity for associations with risk for single-nucleotide polymorphisms (SNP) in CASP10, PGR, and BID. Estimates were imprecise for women of Asian and African descent due to small numbers and lower minor allele frequencies (with the exception of BID SNP). The ORs for each copy of the minor allele were not significantly different by estrogen or progesterone receptor status, nor were any significant interactions found between the polymorphisms and age or family history of breast cancer. In conclusion, our data provide persuasive evidence against an overall association between invasive breast cancer risk and ERCC4 rs744154, TNF rs361525, CASP10 rs13010627, PGR rs1042838, and BID rs8190315 genotypes among women of European descent. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1610–6)
Multiple Novel Prostate Cancer Predisposition Loci Confirmed by an International Study: The PRACTICAL Consortium
Easton, Douglas F. , Stanford, Janet L. , Ostrander, Elaine A. , Schleutker, Johanna , Schaid, Daniel J. , Thibodeau, Stephen N. , Dörk, Thilo , Neal, David E. , Cox, Angela , Maier, Christiane, Guy, Michelle, Lophatananon, Artitaya, Kedda, Mary-Anne, Spurdle, Amanda B. , Steginga, Suzanne K., John, Esther M. , Giles, Graham G. , Chappuis, Pierre O. , Hutter, Pierre, Foulkes, William D. , Hamel, Nancy , Salinas, Claudia A., Karyadi, Danielle M. , Johanneson, Bo, Wahlfors, Tiina , Tammela, Teuvo L.J. , Corral, Román, McDonnell, Shannon K. , Schürmann, Peter , Meyer, Andreas , Kuefer, Rainer, Leongamornlert, Daniel , Tymrakiewicz, Malgorzata, Liu, Jo‐Fen , O’Mara, Tracy A. , Gardiner, Robert A. , Aitken, Joanne F. , Joshi, Amit D. , Severi, Gianluca , English, Dallas R. , Southey, Melissa C. , Edwards, Stephen M., Olama, Ali Amin Al , Eeles, Rosalind A. , Donovan, Jenny , Chambers, Suzanne K. , Kote‐Jarai, Zsofia , Ingles, Sue A. , Vogel, W. , Muir, Kenneth , Hopper, John L. , Koopmeiners, Joseph Stephen , Stern, Mariana Carla , Dörk, Thilo , Giles, Graham G , Spurdle, Amanda B , Foulkes, William D , Eeles, Rosalind A , John, Esther M , Southey, Melissa C , English, Dallas R , Donovan, Jenny L , Schleutker, Johanna , O'Mara, Tracy A , Cox, Angela , Severi, Gianluca , McDonnell, Shannon K

Cancer Epidemiology, Biomarkers & Prevention | August 15, 2008 | Volume: 17 | Issue: 8 | Pages: 2052-2061

10.1158/1055-9965.epi-08-0317 Get It

Abstract A recent genome-wide association study found that genetic variants on chromosomes 3, 6, 7, 10, 11, 19 and X were associated with prostate cancer risk. We evaluated the most significant single-nucleotide polymorphisms (SNP) in these loci using a worldwide consortium of 13 groups (PRACTICAL). Blood DNA from 7,370 prostate cancer cases and 5,742 male controls was analyzed by genotyping assays. Odds ratios (OR) associated with each genotype were estimated using unconditional logistic regression. Six of the seven SNPs showed clear evidence of association with prostate cancer (P = 0.0007-P = 10−17). For each of these six SNPs, the estimated per-allele OR was similar to those previously reported and ranged from 1.12 to 1.29. One SNP on 3p12 (rs2660753) showed a weaker association than previously reported [per-allele OR, 1.08 (95% confidence interval, 1.00-1.16; P = 0.06) versus 1.18 (95% confidence interval, 1.06-1.31)]. The combined risks associated with each pair of SNPs were consistent with a multiplicative risk model. Under this model, and in combination with previously reported SNPs on 8q and 17q, these loci explain 16% of the familial risk of the disease, and men in the top 10% of the risk distribution have a 2.1-fold increased risk relative to general population rates. This study provides strong confirmation of these susceptibility loci in multiple populations and shows that they make an important contribution to prostate cancer risk prediction. (Cancer Epidemiol Biomarkers Prev 2008;17(8):2052–61)
AURKAF31I Polymorphism and Breast Cancer Risk inBRCA1andBRCA2Mutation Carriers: A Consortium of Investigators of Modifiers of BRCA1/2 Study
Sinilnikova, Olga M., Vierkant, Robert A. , Fredericksen, Zachary S., Coupier, Isabelle, Hughes, David J. , Hardouin, Agnès, Berthet, Pascaline, Peock, Susan, Cook, Margaret , Baynes, Caroline, Hodgson, Shirley, Porteous, Mary, Jakubowska, Anna , Spurdle, Amanda B. , kConFab, Schmutzler, Rita K., Versmold, Beatrix, Engel, Christoph , Meindl, Alfons , Sutter, Christian , Horst, Jürgen, Schaefer, Dieter, Offit, Kenneth, Kirchhoff, Tomas , Andrulis, Irene L. , Ilyushik, Eduard, Glendon, Gordon, Vasen, Hans F. A. , Borg, Åke , Backenhorn, Katja, Struewing, Jeffery P. , Greene, Mark H. , Nathanson, Katherine L. , Zikán, Michal , Foretová, Lenka , Sellers, Thomas A. , Lindor, Noralane M. , Nevanlinna, Heli , Tommiska, Johanna , Aittomäki, Kristiina, Hamann, Ute , Rashid, Muhammad Usman , Torres, Diana , Simard, Jacques , Durocher, Francine , Lynch, Henry T., Weitzel, Jeffrey N. , Olopade, Olufunmilayo I. , Narod, Steven A. , Daly, Mary B., Easton, Douglas F., Chenevix‐Trench, Georgia , Antoniou, Antonis C. , Evans, D. Gareth , Thorne, Heather , Couch, Fergus J. , Pankratz, V. Shane , Stoppa‐Lyonnet, Dominique , Morrison, Patrick J. , Lubiński, Jan , Gronwald, Jacek , kConFab, Meindl, Alfons , Devilee, Peter , Vreeswijk, Maaike P.G. , Neuhausen, Susan L. , Rebbeck, Timothy R. , Domchek, Susan M. , Wagner, Theresa Maria , Garber, Judy E. , Szabo, Csilla I. , Olson, Janet E. , Guénard, Frédéric , Isaacs, Claudine , Godwin, Andrew K. , Tomlinson, Gail Elizabeth , Nevanlinna, H , Spurdle, Amanda B , Vierkant, Robert A , Weitzel, Jeffrey N , Evans, D Gareth , Olopade, Olufunmilayo I , Jakubowska, Anna , Torres, Diana , Nathanson, Katherine L , Engel, Christoph , Simard, Jacques , Chenevix-Trench, Georgia , Rashid, Muhammad U , Hughes, David J

Cancer Epidemiology, Biomarkers & Prevention | July 12, 2007 | Volume: 16 | Issue: 7 | Pages: 1416-1421

10.1158/1055-9965.epi-07-0129 Get It

AbstractThe AURKA oncogene is associated with abnormal chromosome segregation and aneuploidy and predisposition to cancer. Amplification of AURKA has been detected at higher frequency in tumors from BRCA1 and BRCA2 mutation carriers than in sporadic breast tumors, suggesting that overexpression of AURKA and inactivation of BRCA1 and BRCA2 cooperate during tumor development and progression. The F31I polymorphism in AURKA has been associated with breast cancer risk in the homozygous state in prior studies. We evaluated whether the AURKA F31I polymorphism modifies breast cancer risk in BRCA1 and BRCA2 mutation carriers from the Consortium of Investigators of Modifiers of BRCA1/2. Consortium of Investigators of Modifiers of BRCA1/2 was established to provide sufficient statistical power through increased numbers of mutation carriers to identify polymorphisms that act as modifiers of cancer risk and can refine breast cancer risk estimates in BRCA1 and BRCA2 mutation carriers. A total of 4,935 BRCA1 and 2,241 BRCA2 mutation carriers and 11 individuals carrying both BRCA1 and BRCA2 mutations was genotyped for F31I. Overall, homozygosity for the 31I allele was not significantly associated with breast cancer risk in BRCA1 and BRCA2 carriers combined [hazard ratio (HR), 0.91; 95% confidence interval (95% CI), 0.77-1.06]. Similarly, no significant association was seen in BRCA1 (HR, 0.90; 95% CI, 0.75-1.08) or BRCA2 carriers (HR, 0.93; 95% CI, 0.67-1.29) or when assessing the modifying effects of either bilateral prophylactic oophorectomy or menopausal status of BRCA1 and BRCA2 carriers. In summary, the F31I polymorphism in AURKA is not associated with a modified risk of breast cancer in BRCA1 and BRCA2 carriers. (Cancer Epidemiol Biomarkers Prev 2007;16(7):1416–21)