Sir Peter MacCallum Department of Oncology - Research Publications

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    Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)
    Dareng, EO ; Tyrer, JP ; Barnes, DR ; Jones, MR ; Yang, X ; Aben, KKH ; Adank, MA ; Agata, S ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Aravantinos, G ; Arun, BK ; Augustinsson, A ; Balmana, J ; Bandera, EV ; Barkardottir, RB ; Barrowdale, D ; Beckmann, MW ; Beeghly-Fadiel, A ; Benitez, J ; Bermisheva, M ; Bernardini, MQ ; Bjorge, L ; Black, A ; Bogdanova, NV ; Bonanni, B ; Borg, A ; Brenton, JD ; Budzilowska, A ; Butzow, R ; Buys, SS ; Cai, H ; Caligo, MA ; Campbell, I ; Cannioto, R ; Cassingham, H ; Chang-Claude, J ; Chanock, SJ ; Chen, K ; Chiew, Y-E ; Chung, WK ; Claes, KBM ; Colonna, S ; Cook, LS ; Couch, FJ ; Daly, MB ; Dao, F ; Davies, E ; de la Hoya, M ; de Putter, R ; Dennis, J ; DePersia, A ; Devilee, P ; Diez, O ; Ding, YC ; Doherty, JA ; Domchek, SM ; Dork, T ; du Bois, A ; Durst, M ; Eccles, DM ; Eliassen, HA ; Engel, C ; Evans, GD ; Fasching, PA ; Flanagan, JM ; Fortner, RT ; Machackova, E ; Friedman, E ; Ganz, PA ; Garber, J ; Gensini, F ; Giles, GG ; Glendon, G ; Godwin, AK ; Goodman, MT ; Greene, MH ; Gronwald, J ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hamann, U ; Hansen, TVO ; Harris, HR ; Hartman, M ; Heitz, F ; Hildebrandt, MAT ; Hogdall, E ; Hogdall, CK ; Hopper, JL ; Huang, R-Y ; Huff, C ; Hulick, PJ ; Huntsman, DG ; Imyanitov, EN ; Isaacs, C ; Jakubowska, A ; James, PA ; Janavicius, R ; Jensen, A ; Johannsson, OT ; John, EM ; Jones, ME ; Kang, D ; Karlan, BY ; Karnezis, A ; Kelemen, LE ; Khusnutdinova, E ; Kiemeney, LA ; Kim, B-G ; Kjaer, SK ; Komenaka, I ; Kupryjanczyk, J ; Kurian, AW ; Kwong, A ; Lambrechts, D ; Larson, MC ; Lazaro, C ; Le, ND ; Leslie, G ; Lester, J ; Lesueur, F ; Levine, DA ; Li, L ; Li, J ; Loud, JT ; Lu, KH ; Lubinski, J ; Mai, PL ; Manoukian, S ; Marks, JR ; Matsuno, RK ; Matsuo, K ; May, T ; McGuffog, L ; McLaughlin, JR ; McNeish, IA ; Mebirouk, N ; Menon, U ; Miller, A ; Milne, RL ; Minlikeeva, A ; Modugno, F ; Montagna, M ; Moysich, KB ; Munro, E ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Yie, JNY ; Nielsen, HR ; Nielsen, FC ; Nikitina-Zake, L ; Odunsi, K ; Offit, K ; Olah, E ; Olbrecht, S ; Olopade, OI ; Olson, SH ; Olsson, H ; Osorio, A ; Papi, L ; Park, SK ; Parsons, MT ; Pathak, H ; Pedersen, IS ; Peixoto, A ; Pejovic, T ; Perez-Segura, P ; Permuth, JB ; Peshkin, B ; Peterlongo, P ; Piskorz, A ; Prokofyeva, D ; Radice, P ; Rantala, J ; Riggan, MJ ; Risch, HA ; Rodriguez-Antona, C ; Ross, E ; Rossing, MA ; Runnebaum, I ; Sandler, DP ; Santamarina, M ; Soucy, P ; Schmutzler, RK ; Setiawan, VW ; Shan, K ; Sieh, W ; Simard, J ; Singer, CF ; Sokolenko, AP ; Song, H ; Southey, MC ; Steed, H ; Stoppa-Lyonnet, D ; Sutphen, R ; Swerdlow, AJ ; Tan, YY ; Teixeira, MR ; Teo, SH ; Terry, KL ; Terry, MB ; Thomassen, M ; Thompson, PJ ; Thomsen, LCV ; Thull, DL ; Tischkowitz, M ; Titus, L ; Toland, AE ; Torres, D ; Trabert, B ; Travis, R ; Tung, N ; Tworoger, SS ; Valen, E ; van Altena, AM ; van der Hout, AH ; Van Nieuwenhuysen, E ; van Rensburg, EJ ; Vega, A ; Edwards, DV ; Vierkant, RA ; Wang, F ; Wappenschmidt, B ; Webb, PM ; Weinberg, CR ; Weitzel, JN ; Wentzensen, N ; White, E ; Whittemore, AS ; Winham, SJ ; Wolk, A ; Woo, Y-L ; Wu, AH ; Yan, L ; Yannoukakos, D ; Zavaglia, KM ; Zheng, W ; Ziogas, A ; Zorn, KK ; Kleibl, Z ; Easton, D ; Lawrenson, K ; DeFazio, A ; Sellers, TA ; Ramus, SJ ; Pearce, CL ; Monteiro, AN ; Cunningham, JM ; Goode, EL ; Schildkraut, JM ; Berchuck, A ; Chenevix-Trench, G ; Gayther, SA ; Antoniou, AC ; Pharoah, PDP (SPRINGERNATURE, 2022-05)
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    Polygenic risk modeling for prediction of epithelial ovarian cancer risk
    Dareng, EO ; Tyrer, JP ; Barnes, DR ; Jones, MR ; Yang, X ; Aben, KKH ; Adank, MA ; Agata, S ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Aravantinos, G ; Arun, BK ; Augustinsson, A ; Balmana, J ; Bandera, E ; Barkardottir, RB ; Barrowdale, D ; Beckmann, MW ; Beeghly-Fadiel, A ; Benitez, J ; Bermisheva, M ; Bernardini, MQ ; Bjorge, L ; Black, A ; Bogdanova, N ; Bonanni, B ; Borg, A ; Brenton, JD ; Budzilowska, A ; Butzow, R ; Buys, SS ; Cai, H ; Caligo, MA ; Campbell, I ; Cannioto, R ; Cassingham, H ; Chang-Claude, J ; Chanock, SJ ; Chen, K ; Chiew, Y-E ; Chung, WK ; Claes, KBM ; Colonna, S ; Cook, LS ; Couch, FJ ; Daly, MB ; Dao, F ; Davies, E ; de la Hoya, M ; de Putter, R ; Dennis, J ; DePersia, A ; Devilee, P ; Diez, O ; Ding, YC ; Doherty, JA ; Domchek, SM ; Dork, T ; du Bois, A ; Durst, M ; Eccles, DM ; Eliassen, HA ; Engel, C ; Evans, GD ; Fasching, PA ; Flanagan, JM ; Fortner, R ; Machackova, E ; Friedman, E ; Ganz, PA ; Garber, J ; Gensini, F ; Giles, GG ; Glendon, G ; Godwin, AK ; Goodman, MT ; Greene, MH ; Gronwald, J ; Group, OS ; AOCSGroup, ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hamann, U ; Hansen, TVO ; Harris, HR ; Hartman, M ; Heitz, F ; Hildebrandt, MAT ; Hogdall, E ; Hogdall, CK ; Hopper, JL ; Huang, R-Y ; Huff, C ; Hulick, PJ ; Huntsman, DG ; Imyanitov, EN ; Isaacs, C ; Jakubowska, A ; James, PA ; Janavicius, R ; Jensen, A ; Johannsson, OT ; John, EM ; Jones, ME ; Kang, D ; Karlan, BY ; Karnezis, A ; Kelemen, LE ; Khusnutdinova, E ; Kiemeney, LA ; Kim, B-G ; Kjaer, SK ; Komenaka, I ; Kupryjanczyk, J ; Kurian, AW ; Kwong, A ; Lambrechts, D ; Larson, MC ; Lazaro, C ; Le, ND ; Leslie, G ; Lester, J ; Lesueur, F ; Levine, DA ; Li, L ; Li, J ; Loud, JT ; Lu, KH ; Mai, PL ; Manoukian, S ; Marks, JR ; KimMatsuno, R ; Matsuo, K ; May, T ; McGuffog, L ; McLaughlin, JR ; McNeish, IA ; Mebirouk, N ; Menon, U ; Miller, A ; Milne, RL ; Minlikeeva, A ; Modugno, F ; Montagna, M ; Moysich, KB ; Munro, E ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Yie, JNY ; Nielsen, HR ; Nielsen, FC ; Nikitina-Zake, L ; Odunsi, K ; Offit, K ; Olah, E ; Olbrecht, S ; Olopade, O ; Olson, SH ; Olsson, H ; Osorio, A ; Papi, L ; Park, SK ; Parsons, MT ; Pathak, H ; Pedersen, IS ; Peixoto, A ; Pejovic, T ; Perez-Segura, P ; Permuth, JB ; Peshkin, B ; Peterlongo, P ; Piskorz, A ; Prokofyeva, D ; Radice, P ; Rantala, J ; Riggan, MJ ; Risch, HA ; Rodriguez-Antona, C ; Ross, E ; Rossing, MA ; Runnebaum, I ; Sandler, DP ; Santamarina, M ; Soucy, P ; Schmutzler, RK ; Setiawan, VW ; Shan, K ; Sieh, W ; Simard, J ; Singer, CF ; Sokolenko, AP ; Song, H ; Southey, MC ; Steed, H ; Stoppa-Lyonnet, D ; Sutphen, R ; Swerdlow, AJ ; Tan, YY ; Teixeira, MR ; Teo, SH ; Terry, KL ; BethTerry, M ; Thomassen, M ; Thompson, PJ ; Thomsen, LCV ; Thull, DL ; Tischkowitz, M ; Titus, L ; Toland, AE ; Torres, D ; Trabert, B ; Travis, R ; Tung, N ; Tworoger, SS ; Valen, E ; van Altena, AM ; van der Hout, AH ; Nieuwenhuysen, E ; van Rensburg, EJ ; Vega, A ; Edwards, DV ; Vierkant, RA ; Wang, F ; Wappenschmidt, B ; Webb, PM ; Weinberg, CR ; Weitzel, JN ; Wentzensen, N ; White, E ; Whittemore, AS ; Winham, SJ ; Wolk, A ; Woo, Y-L ; Wu, AH ; Yan, L ; Yannoukakos, D ; Zavaglia, KM ; Zheng, W ; Ziogas, A ; Zorn, KK ; Kleibl, Z ; Easton, D ; Lawrenson, K ; DeFazio, A ; Sellers, TA ; Ramus, SJ ; Pearce, CL ; Monteiro, AN ; Cunningham, J ; Goode, EL ; Schildkraut, JM ; Berchuck, A ; Chenevix-Trench, G ; Gayther, SA ; Antoniou, AC ; Pharoah, PDP (SPRINGERNATURE, 2022-03)
    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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    Mendelian randomisation study of smoking exposure in relation to breast cancer risk
    Park, HA ; Neumeyer, S ; Michailidou, K ; Bolla, MK ; Wang, Q ; Dennis, J ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Augustinsson, A ; Baten, A ; Freeman, LEB ; Becher, H ; Beckmann, MW ; Behrens, S ; Benitez, J ; Bermisheva, M ; Bogdanova, N ; Bojesen, SE ; Brauch, H ; Brenner, H ; Brucker, SY ; Burwinkel, B ; Campa, D ; Canzian, F ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Conroy, DM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Daly, MB ; Devilee, P ; Dork, T ; Dos-Santos-Silva, I ; Dwek, M ; Eccles, DM ; Eliassen, AH ; Engel, C ; Eriksson, M ; Evans, DG ; Fasching, PA ; Flyger, H ; Fritschi, L ; Garcia-Closas, M ; Garcia-Saenz, JA ; Gaudet, MM ; Giles, GG ; Glendon, G ; Goldberg, MS ; Goldgar, DE ; Gonzalez-Neira, A ; Grip, M ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Han, S ; Harkness, EF ; Hart, SN ; He, W ; Heemskerk-Gerritsen, BAM ; Hopper, JL ; Hunter, DJ ; Jager, A ; Jakubowska, A ; John, EM ; Jung, A ; Kaaks, R ; Kapoor, PM ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Koppert, LB ; Koutros, S ; Kristensen, VN ; Kurian, AW ; Lacey, J ; Lambrechts, D ; LeMarchand, L ; Lo, W-Y ; Mannermaa, A ; Manoochehri, M ; Margolin, S ; ElenaMartinez, M ; Mavroudis, D ; Meindl, A ; Menon, U ; Milne, RL ; Muranen, TA ; Nevanlinna, H ; Newman, WG ; Nordestgaard, BG ; Offit, K ; Olshan, AF ; Olsson, H ; Park-Simon, T-W ; Peterlongo, P ; Peto, J ; Plaseska-Karanfilska, D ; Presneau, N ; Radice, P ; Rennert, G ; Rennert, HS ; Romero, A ; Saloustros, E ; Sawyer, EJ ; Schmidt, MK ; Schmutzler, RK ; Schoemaker, MJ ; Schwentner, L ; Scott, C ; Shah, M ; Shu, X-O ; Simard, J ; Smeets, A ; Southey, MC ; Spinelli, JJ ; Stevens, V ; Swerdlow, AJ ; Tamimi, RM ; Tapper, WJ ; Taylor, JA ; Terry, MB ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; van Veen, EM ; Vijai, J ; Wang, S ; Wendt, C ; Winqvist, R ; Wolk, A ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Zheng, W ; Kraft, P ; Chang-Claude, J (SPRINGERNATURE, 2021-10-12)
    BACKGROUND: Despite a modest association between tobacco smoking and breast cancer risk reported by recent epidemiological studies, it is still equivocal whether smoking is causally related to breast cancer risk. METHODS: We applied Mendelian randomisation (MR) to evaluate a potential causal effect of cigarette smoking on breast cancer risk. Both individual-level data as well as summary statistics for 164 single-nucleotide polymorphisms (SNPs) reported in genome-wide association studies of lifetime smoking index (LSI) or cigarette per day (CPD) were used to obtain MR effect estimates. Data from 108,420 invasive breast cancer cases and 87,681 controls were used for the LSI analysis and for the CPD analysis conducted among ever-smokers from 26,147 cancer cases and 26,072 controls. Sensitivity analyses were conducted to address pleiotropy. RESULTS: Genetically predicted LSI was associated with increased breast cancer risk (OR 1.18 per SD, 95% CI: 1.07-1.30, P = 0.11 × 10-2), but there was no evidence of association for genetically predicted CPD (OR 1.02, 95% CI: 0.78-1.19, P = 0.85). The sensitivity analyses yielded similar results and showed no strong evidence of pleiotropic effect. CONCLUSION: Our MR study provides supportive evidence for a potential causal association with breast cancer risk for lifetime smoking exposure but not cigarettes per day among smokers.
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    Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations
    Rebbeck, TR ; Friebel, TM ; Friedman, E ; Hamann, U ; Huo, D ; Kwong, A ; Olah, E ; Olopade, OI ; Solano, AR ; Teo, S-H ; Thomassen, M ; Weitzel, JN ; Chan, TL ; Couch, FJ ; Goldgar, DE ; Kruse, TA ; Palmero, EI ; Park, SK ; Torres, D ; van Rensburg, EJ ; McGuffog, L ; Parsons, MT ; Leslie, G ; Aalfs, CM ; Abugattas, J ; Adlard, J ; Agata, S ; Aittomaki, K ; Andrews, L ; Andrulis, IL ; Arason, A ; Arnold, N ; Arun, BK ; Asseryanis, E ; Auerbach, L ; Azzollini, J ; Balmana, J ; Barile, M ; Barkardottir, RB ; Barrowdale, D ; Benitez, J ; Berger, A ; Berger, R ; Blanco, AM ; Blazer, KR ; Blok, MJ ; Bonadona, V ; Bonanni, B ; Bradbury, AR ; Brewer, C ; Buecher, B ; Buys, SS ; Caldes, T ; Caliebe, A ; Caligo, MA ; Campbell, I ; Caputo, SM ; Chiquette, J ; Chung, WK ; Claes, KBM ; Collee, JM ; Cook, J ; Davidson, R ; de la Hoya, M ; De Leeneer, K ; de Pauw, A ; Delnatte, C ; Diez, O ; Ding, YC ; Ditsch, N ; Domchek, S ; Dorfling, CM ; Velazquez, C ; Dworniczak, B ; Eason, J ; Easton, DF ; Eeles, R ; Ehrencrona, H ; Ejlertsen, B ; Engel, C ; Engert, S ; Evans, DG ; Faivre, L ; Feliubadalo, L ; Ferrer, SF ; Foretova, L ; Fowler, J ; Frost, D ; Galvao, HCR ; Ganz, PA ; Garber, J ; Gauthier-Villars, M ; Gehrig, A ; Gerdes, A-M ; Gesta, P ; Giannini, G ; Giraud, S ; Glendon, G ; Godwin, AK ; Greene, MH ; Gronwald, J ; Gutierrez-Barrera, A ; Hahnen, E ; Hauke, J ; Henderson, A ; Hentschel, J ; Hogervorst, FBL ; Honisch, E ; Imyanitov, EN ; Isaacs, C ; Izatt, L ; Izquierdo, A ; Jakubowska, A ; James, P ; Janavicius, R ; Jensen, UB ; John, EM ; Vijai, J ; Kaczmarek, K ; Karlan, BY ; Kast, K ; Kim, S-W ; Konstantopoulou, I ; Korach, J ; Laitman, Y ; Lasa, A ; Lasset, C ; Lazaro, C ; Lee, A ; Lee, MH ; Lester, J ; Lesueur, F ; Liljegren, A ; Lindor, NM ; Longy, M ; Loud, JT ; Lu, KH ; Lubinski, J ; Machackova, E ; Manoukian, S ; Mari, V ; Martinez-Bouzas, C ; Matrai, Z ; Mebirouk, N ; Meijers-Heijboer, HEJ ; Meindl, A ; Mensenkamp, AR ; Mickys, U ; Miller, A ; Montagna, M ; Moysich, KB ; Mulligan, AM ; Musinsky, J ; Neuhausen, SL ; Nevanlinna, H ; Ngeow, J ; Nguyen, HP ; Niederacher, D ; Nielsen, HR ; Nielsen, FC ; Nussbaum, RL ; Offit, K ; Ofverholm, A ; Ong, K-R ; Osorio, A ; Papi, L ; Papp, J ; Pasini, B ; Pedersen, IS ; Peixoto, A ; Peruga, N ; Peterlongo, P ; Pohl, E ; Pradhan, N ; Prajzendanc, K ; Prieur, F ; Pujol, P ; Radice, P ; Ramus, SJ ; Rantala, J ; Rashid, MU ; Rhiem, K ; Robson, M ; Rodriguez, GC ; Rogers, MT ; Rudaitis, V ; Schmidt, AY ; Schmutzler, RK ; Senter, L ; Shah, PD ; Sharma, P ; Side, LE ; Simard, J ; Singer, CF ; Skytte, A-B ; Slavin, TP ; Snape, K ; Sobol, H ; Southey, M ; Steele, L ; Steinemann, D ; Sukiennicki, G ; Sutter, C ; Szabo, CI ; Tan, YY ; Teixeira, MR ; Terry, MB ; Teule, A ; Thomas, A ; Thull, DL ; Tischkowitz, M ; Tognazzo, S ; Toland, AE ; Topka, S ; Trainer, AH ; Tung, N ; van Asperen, CJ ; van der Hout, AH ; van der Kolk, LE ; van der Luijt, RB ; Van Heetvelde, M ; Varesco, L ; Varon-Mateeva, R ; Vega, A ; Villarreal-Garza, C ; von Wachenfeldt, A ; Walker, L ; Wang-Gohrke, S ; Wappenschmidt, B ; Weber, BHF ; Yannoukakos, D ; Yoon, S-Y ; Zanzottera, C ; Zidan, J ; Zorn, KK ; Selkirk, CGH ; Hulick, PJ ; Chenevix-Trench, G ; Spurdle, AB ; Antoniou, AC ; Nathanson, KL (WILEY-HINDAWI, 2018-05)
    The prevalence and spectrum of germline mutations in BRCA1 and BRCA2 have been reported in single populations, with the majority of reports focused on White in Europe and North America. The Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA) has assembled data on 18,435 families with BRCA1 mutations and 11,351 families with BRCA2 mutations ascertained from 69 centers in 49 countries on six continents. This study comprehensively describes the characteristics of the 1,650 unique BRCA1 and 1,731 unique BRCA2 deleterious (disease-associated) mutations identified in the CIMBA database. We observed substantial variation in mutation type and frequency by geographical region and race/ethnicity. In addition to known founder mutations, mutations of relatively high frequency were identified in specific racial/ethnic or geographic groups that may reflect founder mutations and which could be used in targeted (panel) first pass genotyping for specific populations. Knowledge of the population-specific mutational spectrum in BRCA1 and BRCA2 could inform efficient strategies for genetic testing and may justify a more broad-based oncogenetic testing in some populations.
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    Evaluation of the association of heterozygous germline variants in NTHL1 with breast cancer predisposition: an international multi-center study of 47,180 subjects
    Li, N ; Zethoven, M ; McInerny, S ; Devereux, L ; Huang, Y-K ; Thio, N ; Cheasley, D ; Gutierrez-Enriquez, S ; Moles-Fernandez, A ; Diez, O ; Nguyen-Dumont, T ; Southey, MC ; Hopper, JL ; Simard, J ; Dumont, M ; Soucy, P ; Meindl, A ; Schmutzler, R ; Schmidt, MK ; Adank, MA ; Andrulis, IL ; Hahnen, E ; Engel, C ; Lesueur, F ; Girard, E ; Neuhausen, SL ; Ziv, E ; Allen, J ; Easton, DF ; Scott, RJ ; Gorringe, KL ; James, PA ; Campbell, IG (NATURE RESEARCH, 2021-05-12)
    Bi-allelic loss-of-function (LoF) variants in the base excision repair (BER) gene NTHL1 cause a high-risk hereditary multi-tumor syndrome that includes breast cancer, but the contribution of heterozygous variants to hereditary breast cancer is unknown. An analysis of 4985 women with breast cancer, enriched for familial features, and 4786 cancer-free women revealed significant enrichment for NTHL1 LoF variants. Immunohistochemistry confirmed reduced NTHL1 expression in tumors from heterozygous carriers but the NTHL1 bi-allelic loss characteristic mutational signature (SBS 30) was not present. The analysis was extended to 27,421 breast cancer cases and 19,759 controls from 10 international studies revealing 138 cases and 93 controls with a heterozygous LoF variant (OR 1.06, 95% CI: 0.82-1.39) and 316 cases and 179 controls with a missense variant (OR 1.31, 95% CI: 1.09-1.57). Missense variants selected for deleterious features by a number of in silico bioinformatic prediction tools or located within the endonuclease III functional domain showed a stronger association with breast cancer. Somatic sequencing of breast cancers from carriers indicated that the risk associated with NTHL1 appears to operate through haploinsufficiency, consistent with other described low-penetrance breast cancer genes. Data from this very large international multicenter study suggests that heterozygous pathogenic germline coding variants in NTHL1 may be associated with low- to moderate- increased risk of breast cancer.
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    CYP3A7*1C allele: linking premenopausal oestrone and progesterone levels with risk of hormone receptor-positive breast cancers
    Johnson, N ; Maguire, S ; Morra, A ; Kapoor, PM ; Tomczyk, K ; Jones, ME ; Schoemaker, MJ ; Gilham, C ; Bolla, MK ; Wang, Q ; Dennis, J ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Augustinsson, A ; Baynes, C ; Freeman, LEB ; Beckmann, MW ; Benitez, J ; Bermisheva, M ; Blomqvist, C ; Boeckx, B ; Bogdanova, NV ; Bojesen, SE ; Brauch, H ; Brenner, H ; Burwinkel, B ; Campa, D ; Canzian, F ; Castelao, JE ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Conroy, DM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Doerk, T ; Eliassen, AH ; Engel, C ; Evans, DG ; Fasching, PA ; Figueroa, J ; Floris, G ; Flyger, H ; Gago-Dominguez, M ; Gapstur, SM ; Garcia-Closas, M ; Gaudet, MM ; Giles, GG ; Goldberg, MS ; Gonzalez-Neira, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hart, SN ; Hooning, MJ ; Hopper, JL ; Howell, A ; Hunter, DJ ; Jager, A ; Jakubowska, A ; John, EM ; Kaaks, R ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Kosma, V-M ; Koutros, S ; Kraft, P ; Kristensen, VN ; Kurian, AW ; Lambrechts, D ; Le Marchand, L ; Linet, M ; Lubinski, J ; Mannermaa, A ; Manoukian, S ; Margolin, S ; Martens, JWM ; Mavroudis, D ; Mayes, R ; Meindl, A ; Milne, RL ; Neuhausen, SL ; Nevanlinna, H ; Newman, WG ; Nielsen, SF ; Nordestgaard, BG ; Obi, N ; Olshan, AF ; Olson, JE ; Olsson, H ; Orban, E ; Park-Simon, T-W ; Peterlongo, P ; Plaseska-Karanfilska, D ; Pylkas, K ; Rennert, G ; Rennert, HS ; Ruddy, KJ ; Saloustros, E ; Sandler, DP ; Sawyer, EJ ; Schmutzler, RK ; Scott, C ; Shu, X-O ; Simard, J ; Smichkoska, S ; Sohn, C ; Southey, MC ; Spinelli, JJ ; Stone, J ; Tamimi, RM ; Taylor, JA ; Tollenaar, RAEM ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; van Veen, EM ; Wang, SS ; Weinberg, CR ; Wendt, C ; Wildiers, H ; Winqvist, R ; Wolk, A ; Zheng, W ; Ziogas, A ; Dunning, AM ; Pharoah, PDP ; Easton, DF ; Howie, AF ; Peto, J ; dos-Santos-Silva, I ; Swerdlow, AJ ; Chang-Claude, J ; Schmidt, MK ; Orr, N ; Fletcher, O (SPRINGERNATURE, 2021-02-16)
    BACKGROUND: Epidemiological studies provide strong evidence for a role of endogenous sex hormones in the aetiology of breast cancer. The aim of this analysis was to identify genetic variants that are associated with urinary sex-hormone levels and breast cancer risk. METHODS: We carried out a genome-wide association study of urinary oestrone-3-glucuronide and pregnanediol-3-glucuronide levels in 560 premenopausal women, with additional analysis of progesterone levels in 298 premenopausal women. To test for the association with breast cancer risk, we carried out follow-up genotyping in 90,916 cases and 89,893 controls from the Breast Cancer Association Consortium. All women were of European ancestry. RESULTS: For pregnanediol-3-glucuronide, there were no genome-wide significant associations; for oestrone-3-glucuronide, we identified a single peak mapping to the CYP3A locus, annotated by rs45446698. The minor rs45446698-C allele was associated with lower oestrone-3-glucuronide (-49.2%, 95% CI -56.1% to -41.1%, P = 3.1 × 10-18); in follow-up analyses, rs45446698-C was also associated with lower progesterone (-26.7%, 95% CI -39.4% to -11.6%, P = 0.001) and reduced risk of oestrogen and progesterone receptor-positive breast cancer (OR = 0.86, 95% CI 0.82-0.91, P = 6.9 × 10-8). CONCLUSIONS: The CYP3A7*1C allele is associated with reduced risk of hormone receptor-positive breast cancer possibly mediated via an effect on the metabolism of endogenous sex hormones in premenopausal women.
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    Prediction of Breast and Prostate Cancer Risks in Male BRCA1 and BRCA2 Mutation Carriers Using Polygenic Risk Scores
    Lecarpentier, J ; Silvestri, V ; Kuchenbaecker, KB ; Barrowdale, D ; Dennis, J ; McGuffog, L ; Soucy, P ; Leslie, G ; Rizzolo, P ; Navazio, AS ; Valentini, V ; Zelli, V ; Lee, A ; Al Olama, AA ; Tyrer, JP ; Southey, M ; John, EM ; Conner, TA ; Goldgar, DE ; Buys, SS ; Janavicius, R ; Steele, L ; Ding, YC ; Neuhausen, SL ; Hansen, TVO ; Osorio, A ; Weitzel, JN ; Toss, A ; Medici, V ; Cortesi, L ; Zanna, I ; Palli, D ; Radice, P ; Manoukian, S ; Peissel, B ; Azzollini, J ; Viel, A ; Cini, G ; Damante, G ; Tommasi, S ; Peterlongo, P ; Fostira, F ; Hamann, U ; Evans, DG ; Henderson, A ; Brewer, C ; Eccles, D ; Cook, J ; Ong, K-R ; Walker, L ; Side, LE ; Porteous, ME ; Davidson, R ; Hodgson, S ; Frost, D ; Adlard, J ; Izatt, L ; Eeles, R ; Ellis, S ; Tischkowitz, M ; Godwin, AK ; Meindl, A ; Gehrig, A ; Dworniczak, B ; Sutter, C ; Engel, C ; Niederacher, D ; Steinemann, D ; Hahnen, E ; Hauke, J ; Rhiem, K ; Kast, K ; Arnold, N ; Ditsch, N ; Wang-Gohrke, S ; Wappenschmidt, B ; Wand, D ; Lasset, C ; Stoppa-Lyonnet, D ; Belotti, M ; Damiola, F ; Barjhoux, L ; Mazoyer, S ; Van Heetvelde, M ; Poppe, B ; De Leeneer, K ; Claes, KBM ; de la Hoya, M ; Garcia-Barberan, V ; Caldes, T ; Perez Segura, P ; Kiiski, JI ; Aittomaeki, K ; Khan, S ; Nevanlinna, H ; van Asperen, CJ ; Vaszko, T ; Kasler, M ; Olah, E ; Balmana, J ; Gutierrez-Enriquez, S ; Diez, O ; Teule, A ; Izquierdo, A ; Darder, E ; Brunet, J ; Del Valle, J ; Feliubadalo, L ; Pujana, MA ; Lazaro, C ; Arason, A ; Agnarsson, BA ; Johannsson, OT ; Barkardottir, RB ; Alducci, E ; Tognazzo, S ; Montagna, M ; Teixeira, MR ; Pinto, P ; Spurdle, AB ; Holland, H ; Lee, JW ; Lee, MH ; Lee, J ; Kim, S-W ; Kang, E ; Kim, Z ; Sharma, P ; Rebbeck, TR ; Vijai, J ; Robson, M ; Lincoln, A ; Musinsky, J ; Gaddam, P ; Tan, YY ; Berger, A ; Singer, CF ; Loud, JT ; Greene, MH ; Mulligan, AM ; Glendon, G ; Andrulis, IL ; Toland, AE ; Senter, L ; Bojesen, A ; Nielsen, HR ; Skytte, A-B ; Sunde, L ; Jensen, UB ; Pedersen, IS ; Krogh, L ; Kruse, TA ; Caligo, MA ; Yoon, S-Y ; Teo, S-H ; von Wachenfeldt, A ; Huo, D ; Nielsen, SM ; Olopade, OI ; Nathanson, KL ; Domchek, SM ; Lorenchick, C ; Jankowitz, RC ; Campbell, I ; James, P ; Mitchell, G ; Orr, N ; Park, SK ; Thomassen, M ; Offit, K ; Couch, FJ ; Simard, J ; Easton, DF ; Chenevix-Trench, G ; Schmutzler, RK ; Antoniou, AC ; Ottini, L (AMER SOC CLINICAL ONCOLOGY, 2017-07-10)
    Purpose BRCA1/2 mutations increase the risk of breast and prostate cancer in men. Common genetic variants modify cancer risks for female carriers of BRCA1/2 mutations. We investigated-for the first time to our knowledge-associations of common genetic variants with breast and prostate cancer risks for male carriers of BRCA1/ 2 mutations and implications for cancer risk prediction. Materials and Methods We genotyped 1,802 male carriers of BRCA1/2 mutations from the Consortium of Investigators of Modifiers of BRCA1/2 by using the custom Illumina OncoArray. We investigated the combined effects of established breast and prostate cancer susceptibility variants on cancer risks for male carriers of BRCA1/2 mutations by constructing weighted polygenic risk scores (PRSs) using published effect estimates as weights. Results In male carriers of BRCA1/2 mutations, PRS that was based on 88 female breast cancer susceptibility variants was associated with breast cancer risk (odds ratio per standard deviation of PRS, 1.36; 95% CI, 1.19 to 1.56; P = 8.6 × 10-6). Similarly, PRS that was based on 103 prostate cancer susceptibility variants was associated with prostate cancer risk (odds ratio per SD of PRS, 1.56; 95% CI, 1.35 to 1.81; P = 3.2 × 10-9). Large differences in absolute cancer risks were observed at the extremes of the PRS distribution. For example, prostate cancer risk by age 80 years at the 5th and 95th percentiles of the PRS varies from 7% to 26% for carriers of BRCA1 mutations and from 19% to 61% for carriers of BRCA2 mutations, respectively. Conclusion PRSs may provide informative cancer risk stratification for male carriers of BRCA1/2 mutations that might enable these men and their physicians to make informed decisions on the type and timing of breast and prostate cancer risk management.
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    Cis-eQTL analysis and functional validation of candidate susceptibility genes for high-grade serous ovarian cancer
    Lawrenson, K ; Li, Q ; Kar, S ; Seo, J-H ; Tyrer, J ; Spindler, TJ ; Lee, J ; Chen, Y ; Karst, A ; Drapkin, R ; Aben, KKH ; Anton-Culver, H ; Antonenkova, N ; Baker, H ; Bandera, EV ; Bean, Y ; Beckmann, MW ; Berchuck, A ; Bisogna, M ; Bjorge, L ; Bogdanova, N ; Brinton, LA ; Brooks-Wilson, A ; Bruinsma, F ; Butzow, R ; Campbell, IG ; Carty, K ; Chang-Claude, J ; Chenevix-Trench, G ; Chen, A ; Chen, Z ; Cook, LS ; Cramer, DW ; Cunningham, JM ; Cybulski, C ; Dansonka-Mieszkowska, A ; Dennis, J ; Dicks, E ; Doherty, JA ; Doerk, T ; Du Bois, A ; Duerst, M ; Eccles, D ; Easton, DT ; Edwards, RP ; Eilber, U ; Ekici, AB ; Fasching, PA ; Fridley, BL ; Gao, Y-T ; Gentry-Maharaj, A ; Giles, GG ; Glasspool, R ; Goode, EL ; Goodman, MT ; Grownwald, J ; Harrington, P ; Harter, P ; Hasmad, HN ; Hein, A ; Heitz, F ; Hildebrandt, MAT ; Hillemanns, P ; Hogdall, E ; Hogdall, C ; Hosono, S ; Iversen, ES ; Jakubowska, A ; James, P ; Jensen, A ; Ji, B-T ; Karlan, BY ; Kjaer, SK ; Kelemen, LE ; Kellar, M ; Kelley, JL ; Kiemeney, LA ; Krakstad, C ; Kupryjanczyk, J ; Lambrechts, D ; Lambrechts, S ; Le, ND ; Lee, AW ; Lele, S ; Leminen, A ; Lester, J ; Levine, DA ; Liang, D ; Lissowska, J ; Lu, K ; Lubinski, J ; Lundvall, L ; Massuger, LFAG ; Matsuo, K ; McGuire, V ; McLaughlin, JR ; Nevanlinna, H ; McNeish, I ; Menon, U ; Modugno, F ; Moysich, KB ; Narod, SA ; Nedergaard, L ; Ness, RB ; Azmi, MAN ; Odunsi, K ; Olson, SH ; Orlow, I ; Orsulic, S ; Weber, RP ; Pearce, CL ; Pejovic, T ; Pelttari, LM ; Permuth-Wey, J ; Phelan, CM ; Pike, MC ; Poole, EM ; Ramus, SJ ; Risch, HA ; Rosen, B ; Rossing, MA ; Rothstein, JH ; Rudolph, A ; Runnebaum, IB ; Rzepecka, IK ; Salvesen, HB ; Schildkraut, JM ; Schwaab, I ; Sellers, TA ; Shu, X-O ; Shvetsov, YB ; Siddiqui, N ; Sieh, W ; Song, H ; Southey, MC ; Sucheston, L ; Tangen, IL ; Teo, S-H ; Terry, KL ; Thompson, PJ ; Timorek, A ; Tsai, Y-Y ; Tworoger, SS ; Van Altena, AM ; Van Nieuwenhuysen, E ; Vergote, I ; Vierkant, RA ; Wang-Gohrke, S ; Walsh, C ; Wentzensen, N ; Whittemore, AS ; Wicklund, KG ; Wilkens, LR ; Woo, Y-L ; Wu, X ; Wu, AH ; Yang, H ; Zheng, W ; Ziogas, A ; Monteiro, A ; Pharoah, PD ; Gayther, SA ; Freedman, ML ; Grp, AOCS ; Bowtell, D ; Webb, PM ; Defazio, A (NATURE RESEARCH, 2015-09)
    Genome-wide association studies have reported 11 regions conferring risk of high-grade serous epithelial ovarian cancer (HGSOC). Expression quantitative trait locus (eQTL) analyses can identify candidate susceptibility genes at risk loci. Here we evaluate cis-eQTL associations at 47 regions associated with HGSOC risk (P≤10(-5)). For three cis-eQTL associations (P<1.4 × 10(-3), FDR<0.05) at 1p36 (CDC42), 1p34 (CDCA8) and 2q31 (HOXD9), we evaluate the functional role of each candidate by perturbing expression of each gene in HGSOC precursor cells. Overexpression of HOXD9 increases anchorage-independent growth, shortens population-doubling time and reduces contact inhibition. Chromosome conformation capture identifies an interaction between rs2857532 and the HOXD9 promoter, suggesting this SNP is a leading causal variant. Transcriptomic profiling after HOXD9 overexpression reveals enrichment of HGSOC risk variants within HOXD9 target genes (P=6 × 10(-10) for risk variants (P<10(-4)) within 10 kb of a HOXD9 target gene in ovarian cells), suggesting a broader role for this network in genetic susceptibility to HGSOC.
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    Association of Genomic Domains in BRCA1 and BRCA2 with Prostate Cancer Risk and Aggressiveness
    Patel, VL ; Busch, EL ; Friebel, TM ; Cronin, A ; Leslie, G ; McGuffog, L ; Adlard, J ; Agata, S ; Agnarsson, BA ; Ahmed, M ; Aittomaki, K ; Alducci, E ; Andrulis, IL ; Arason, A ; Arnold, N ; Artioli, G ; Arver, B ; Auber, B ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Barnes, DR ; Barroso, A ; Barrowdale, D ; Belotti, M ; Benitez, J ; Bertelsen, B ; Blok, MJ ; Bodrogi, I ; Bonadona, V ; Bonanni, B ; Bondavalli, D ; Boonen, SE ; Borde, J ; Borg, A ; Bradbury, AR ; Brady, A ; Brewer, C ; Brunet, J ; Buecher, B ; Buys, SS ; Cabezas-Camarero, S ; Caldes, T ; Caliebe, A ; Caligo, MA ; Calvello, M ; Campbell, IG ; Carnevali, I ; Carrasco, E ; Chan, TL ; Chu, ATW ; Chung, WK ; Claes, KBM ; Cook, J ; Cortesi, L ; Couch, FJ ; Daly, MB ; Damante, G ; Darder, E ; Davidson, R ; de la Hoya, M ; Della Puppa, L ; Dennis, J ; Diez, O ; Ding, YC ; Ditsch, N ; Domchek, SM ; Donaldson, A ; Dworniczak, B ; Easton, DF ; Eccles, DM ; Eeles, RA ; Ehrencrona, H ; Ejlertsen, B ; Engel, C ; Evans, DG ; Faivre, L ; Faust, U ; Feliubadalo, L ; Foretova, L ; Fostira, F ; Fountzilas, G ; Frost, D ; Garcia-Barberan, V ; Garre, P ; Gauthier-Villars, M ; Geczi, L ; Gehrig, A ; Gerdes, A-M ; Gesta, P ; Giannini, G ; Glendon, G ; Godwin, AK ; Goldgar, DE ; Greene, MH ; Gutierrez-Barrera, AM ; Hahnen, E ; Hamann, U ; Hauke, J ; Herold, N ; Hogervorst, FBL ; Honisch, E ; Hopper, JL ; Hulick, PJ ; Izatt, L ; Jager, A ; James, P ; Janavicius, R ; Jensen, UB ; Jensen, TD ; Johannsson, OT ; John, EM ; Joseph, V ; Kang, E ; Kast, K ; Kiiski, J ; Kim, S-W ; Kim, Z ; Ko, K-P ; Konstantopoulou, I ; Kramer, G ; Krogh, L ; Kruse, TA ; Kwong, A ; Larsen, M ; Lasset, C ; Lautrup, C ; Lazaro, C ; Lee, J ; Lee, JW ; Lee, MH ; Lemke, J ; Lesueur, F ; Liljegren, A ; Lindblom, A ; Llovet, P ; Lopez-Fernandez, A ; Lopez-Perolio, I ; Lorca, V ; Loud, JT ; Ma, ESK ; Mai, PL ; Manoukian, S ; Mari, V ; Martin, L ; Matricardi, L ; Mebirouk, N ; Medici, V ; Meijers-Heijboer, HEJ ; Meindl, A ; Mensenkamp, AR ; Miller, C ; Gomes, DM ; Montagna, M ; Mooij, TM ; Moserle, L ; Mouret-Fourme, E ; Mulligan, AM ; Nathanson, KL ; Navratilova, M ; Nevanlinna, H ; Niederacher, D ; Nielsen, FCC ; Nikitina-Zake, L ; Offit, K ; Olah, E ; Olopade, O ; Ong, K-R ; Osorio, A ; Ott, C-E ; Palli, D ; Park, SK ; Parsons, MT ; Pedersen, IS ; Peissel, B ; Peixoto, A ; Perez-Segura, P ; Peterlongo, P ; Petersen, AH ; Porteous, ME ; Angel Pujana, M ; Radice, P ; Ramser, J ; Rantala, J ; Rashid, MU ; Rhiem, K ; Rizzolo, P ; Robson, ME ; Rookus, MA ; Rossing, CM ; Ruddy, KJ ; Santos, C ; Saule, C ; Scarpitta, R ; Schmutzler, RK ; Schuster, H ; Senter, L ; Seynaeve, CM ; Shah, PD ; Sharma, P ; Shin, VY ; Silvestri, V ; Simard, J ; Singer, CF ; Skytte, A-B ; Snape, K ; Solano, AR ; Soucy, P ; Southey, MC ; Spurdle, AB ; Steele, L ; Steinemann, D ; Stoppa-Lyonnet, D ; Stradella, A ; Sunde, L ; Sutter, C ; Tan, YY ; Teixeira, MR ; Teo, SH ; Thomassen, M ; Tibiletti, MG ; Tischkowitz, M ; Tognazzo, S ; Toland, AE ; Tommasi, S ; Torres, D ; Toss, A ; Trainer, AH ; Tung, N ; van Asperen, CJ ; van der Baan, FH ; van der Kolk, LE ; van der Luijt, RB ; van Hest, LP ; Varesco, L ; Varon-Mateeva, R ; Viel, A ; Vierstraete, J ; Villa, R ; von Wachenfeldt, A ; Wagner, P ; Wang-Gohrke, S ; Wappenschmidt, B ; Weitzel, JN ; Wieme, G ; Yadav, S ; Yannoukakos, D ; Yoon, S-Y ; Zanzottera, C ; Zorn, KK ; D'Amico, A ; Freedman, ML ; Pomerantz, MM ; Chenevix-Trench, G ; Antoniou, AC ; Neuhausen, SL ; Ottini, L ; Nielsen, HR ; Rebbeck, TR (AMER ASSOC CANCER RESEARCH, 2020-02-01)
    Pathogenic sequence variants (PSV) in BRCA1 or BRCA2 (BRCA1/2) are associated with increased risk and severity of prostate cancer. We evaluated whether PSVs in BRCA1/2 were associated with risk of overall prostate cancer or high grade (Gleason 8+) prostate cancer using an international sample of 65 BRCA1 and 171 BRCA2 male PSV carriers with prostate cancer, and 3,388 BRCA1 and 2,880 BRCA2 male PSV carriers without prostate cancer. PSVs in the 3' region of BRCA2 (c.7914+) were significantly associated with elevated risk of prostate cancer compared with reference bin c.1001-c.7913 [HR = 1.78; 95% confidence interval (CI), 1.25-2.52; P = 0.001], as well as elevated risk of Gleason 8+ prostate cancer (HR = 3.11; 95% CI, 1.63-5.95; P = 0.001). c.756-c.1000 was also associated with elevated prostate cancer risk (HR = 2.83; 95% CI, 1.71-4.68; P = 0.00004) and elevated risk of Gleason 8+ prostate cancer (HR = 4.95; 95% CI, 2.12-11.54; P = 0.0002). No genotype-phenotype associations were detected for PSVs in BRCA1. These results demonstrate that specific BRCA2 PSVs may be associated with elevated risk of developing aggressive prostate cancer. SIGNIFICANCE: Aggressive prostate cancer risk in BRCA2 mutation carriers may vary according to the specific BRCA2 mutation inherited by the at-risk individual.
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    Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
    Fachal, L ; Aschard, H ; Beesley, J ; Barnes, DR ; Allen, J ; Kar, S ; Pooley, KA ; Dennis, J ; Michailidou, K ; Turman, C ; Soucy, P ; Lemacon, A ; Lush, M ; Tyrer, JP ; Ghoussaini, M ; Marjaneh, MM ; Jiang, X ; Agata, S ; Aittomaki, K ; Rosario Alonso, M ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arason, A ; Arndt, V ; Aronson, KJ ; Arun, BK ; Auber, B ; Auer, PL ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Barrowdale, D ; Beeghly-Fadiel, A ; Benitez, J ; Bermisheva, M ; Bialkowska, K ; Blanco, AM ; Blomqvist, C ; Blot, W ; Bogdanova, N ; Bojesen, SE ; Bolla, MK ; Bonanni, B ; Borg, A ; Bosse, K ; Brauch, H ; Brenner, H ; Briceno, I ; Brock, IW ; Brooks-Wilson, A ; Bruening, T ; Burwinkel, B ; Buys, SS ; Cai, Q ; Caldes, T ; Caligo, MA ; Camp, NJ ; Campbell, I ; Canzian, F ; Carroll, JS ; Carter, BD ; Castelao, JE ; Chiquette, J ; Christiansen, H ; Chung, WK ; Claes, KBM ; Clarke, CL ; Collee, JM ; Cornelissen, S ; Couch, FJ ; Cox, A ; Cross, SS ; Cybulski, C ; Czene, K ; Daly, MB ; de la Hoya, M ; Devilee, P ; Diez, O ; Ding, YC ; Dite, GS ; Domchek, SM ; Doerk, T ; dos-Santos-Silva, I ; Droit, A ; Dubois, S ; Dumont, M ; Duran, M ; Durcan, L ; Dwek, M ; Eccles, DM ; Engel, C ; Eriksson, M ; Evans, DG ; Fasching, PA ; Fletcher, O ; Floris, G ; Flyger, H ; Foretova, L ; Foulkes, WD ; Friedman, E ; Fritschi, L ; Frost, D ; Gabrielson, M ; Gago-Dominguez, M ; Gambino, G ; Ganz, PA ; Gapstur, SM ; Garber, J ; Garcia-Saenz, JA ; Gaudet, MM ; Georgoulias, V ; Giles, GG ; Glendon, G ; Godwin, AK ; Goldberg, MS ; Goldgar, DE ; Gonzalez-Neira, A ; Tibiletti, MG ; Greene, MH ; Grip, M ; Gronwald, J ; Grundy, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hakansson, N ; Hall, P ; Hamann, U ; Harrington, PA ; Hartikainen, JM ; Hartman, M ; He, W ; Healey, CS ; Heemskerk-Gerritsen, BAM ; Heyworth, J ; Hillemanns, P ; Hogervorst, FBL ; Hollestelle, A ; Hooning, MJ ; Hopper, JL ; Howell, A ; Huang, G ; Hulick, PJ ; Imyanitov, EN ; Isaacs, C ; Iwasaki, M ; Jager, A ; Jakimovska, M ; Jakubowska, A ; James, PA ; Janavicius, R ; Jankowitz, RC ; John, EM ; Johnson, N ; Jones, ME ; Jukkola-Vuorinen, A ; Jung, A ; Kaaks, R ; Kang, D ; Kapoor, PM ; Karlan, BY ; Keeman, R ; Kerin, MJ ; Khusnutdinova, E ; Kiiski, J ; Kirk, J ; Kitahara, CM ; Ko, Y-D ; Konstantopoulou, I ; Kosma, V-M ; Koutros, S ; Kubelka-Sabit, K ; Kwong, A ; Kyriacou, K ; Laitman, Y ; Lambrechts, D ; Lee, E ; Leslie, G ; Lester, J ; Lesueur, F ; Lindblom, A ; Lo, W-Y ; Long, J ; Lophatananon, A ; Loud, JT ; Lubinski, J ; MacInnis, RJ ; Maishman, T ; Makalic, E ; Mannermaa, A ; Manoochehri, M ; Manoukian, S ; Margolin, S ; Martinez, ME ; Matsuo, K ; Maurer, T ; Mavroudis, D ; Mayes, R ; McGuffog, L ; McLean, C ; Mebirouk, N ; Meindl, A ; Miller, A ; Miller, N ; Montagna, M ; Moreno, F ; Muir, K ; Mulligan, AM ; Munoz-Garzon, VM ; Muranen, TA ; Narod, SA ; Nassir, R ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Neven, P ; Nielsen, FC ; Nikitina-Zake, L ; Norman, A ; Offit, K ; Olah, E ; Olopade, O ; Olsson, H ; Orr, N ; Osorio, A ; Pankratz, VS ; Papp, J ; Park, SK ; Park-Simon, T-W ; Parsons, MT ; Paul, J ; Pedersen, IS ; Peissel, B ; Peshkin, B ; Peterlongo, P ; Peto, J ; Plaseska-Karanfilska, D ; Prajzendanc, K ; Prentice, R ; Presneau, N ; Prokofyeva, D ; Angel Pujana, M ; Pylkas, K ; Radice, P ; Ramus, SJ ; Rantala, J ; Rau-Murthy, R ; Rennert, G ; Risch, HA ; Robson, M ; Romero, A ; Rossing, M ; Saloustros, E ; Sanchez-Herrero, E ; Sandler, DP ; Santamarina, M ; Saunders, C ; Sawyer, EJ ; Scheuner, MT ; Schmidt, DF ; Schmutzler, RK ; Schneeweiss, A ; Schoemaker, MJ ; Schoettker, B ; Schuermann, P ; Scott, C ; Scott, RJ ; Senter, L ; Seynaeve, CM ; Shah, M ; Sharma, P ; Shen, C-Y ; Shu, X-O ; Singer, CF ; Slavin, TP ; Smichkoska, S ; Southey, MC ; Spinelli, JJ ; Spurdle, AB ; Stone, J ; Stoppa-Lyonnet, D ; Sutter, C ; Swerdlow, AJ ; Tamimi, RM ; Tan, YY ; Tapper, WJ ; Taylor, JA ; Teixeira, MR ; Tengstroem, M ; Teo, SH ; Terry, MB ; Teul, A ; Thomassen, M ; Thull, DL ; Tischkowitz, M ; Toland, AE ; Tollenaar, RAEM ; Tomlinson, I ; Torres, D ; Torres-Mejia, G ; Troester, MA ; Truong, T ; Tung, N ; Tzardi, M ; Ulmer, H-U ; Vachon, CM ; van Asperen, CJ ; van der Kolk, LE ; van Rensburg, EJ ; Vega, A ; Viel, A ; Vijai, J ; Vogel, MJ ; Wang, Q ; Wappenschmidt, B ; Weinberg, CR ; Weitzel, JN ; Wendt, C ; Wildiers, H ; Winqvist, R ; Wolk, A ; Wu, AH ; Yannoukakos, D ; Zhang, Y ; Zheng, W ; Hunter, D ; Pharoah, PDP ; Chang-Claude, J ; Garcia-Closas, M ; Schmidt, MK ; Milne, RL ; Kristensen, VN ; French, JD ; Edwards, SL ; Antoniou, AC ; Chenevix-Trench, G ; Simard, J ; Easton, DF ; Kraft, P ; Dunning, AM ; Mari, V ; Berthet, P ; Castera, L ; Vaur, D ; Lallaoui, H ; Bignon, Y-J ; Uhrhammer, N ; Bonadona, V ; Lasset, C ; Revillion, F ; Vennin, P ; Muller, D ; Gomes, DM ; Ingster, O ; Coupier, I ; Pujol, P ; Collonge-Rame, M-A ; Mortemousque, I ; Bera, O ; Rose, M ; Baurand, A ; Bertolone, G ; Faivre, L ; Dreyfus, H ; Leroux, D ; Venat-Bouvet, L ; Bezieau, S ; Delnatte, C ; Chiesa, J ; Gilbert-Dussardier, B ; 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Seynaeve, C ; Siesling, S ; Verloop, J ; van Asperen, C ; van Cronenburg, T ; Blok, R ; de Boer, M ; Garcia, EG ; Adank, M ; Hogervorst, F ; Jenner, D ; van Leeuwen, F ; Rookus, M ; Russell, N ; Schmidt, M ; van den Belt-Dusebout, S ; Kets, C ; Mensenkamp, A ; de Bock, T ; van Der Hout, A ; Mourits, M ; Oosterwijk, J ; Ausems, M ; Koudijs, M ; Marsh, D ; Baxter, R ; Yip, D ; Carpenter, J ; Davis, A ; Pathmanathan, N ; Simpson, P ; Graham, D ; Sachchithananthan, M (NATURE RESEARCH, 2020-01-07)
    Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes.