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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    Common variants in breast cancer risk loci predispose to distinct tumor subtypes
    Ahearn, TU ; Zhang, H ; Michailidou, K ; Milne, RL ; Bolla, MK ; Dennis, J ; Dunning, AM ; Lush, M ; Wang, Q ; Andrulis, IL ; Anton-Culver, H ; Arndt, V ; Aronson, KJ ; Auer, PL ; Augustinsson, A ; Baten, A ; Becher, H ; Behrens, S ; Benitez, J ; Bermisheva, M ; Blomqvist, C ; Bojesen, SE ; Bonanni, B ; Borresen-Dale, A-L ; Brauch, H ; Brenner, H ; Brooks-Wilson, A ; Bruening, T ; Burwinkel, B ; Buys, SS ; Canzian, F ; Castelao, JE ; Chang-Claude, J ; Chanock, SJ ; Chenevix-Trench, G ; Clarke, CL ; Collee, JM ; Cox, A ; Cross, SS ; Czene, K ; Daly, MB ; Devilee, P ; Dork, T ; Dwek, M ; Eccles, DM ; Evans, DG ; Fasching, PA ; Figueroa, J ; Floris, G ; Gago-Dominguez, M ; Gapstur, SM ; Garcia-Saenz, JA ; Gaudet, MM ; Giles, GG ; Goldberg, MS ; Gonzalez-Neira, A ; Alnaes, GIG ; Grip, M ; Guenel, P ; Haiman, CA ; Hall, P ; Hamann, U ; Harkness, EF ; Heemskerk-Gerritsen, BAM ; Holleczek, B ; Hollestelle, A ; Hooning, MJ ; Hoover, RN ; Hopper, JL ; Howell, A ; Jakimovska, M ; Jakubowska, A ; John, EM ; Jones, ME ; Jung, A ; Kaaks, R ; Kauppila, S ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Ko, Y-D ; Koutros, S ; Kristensen, VN ; Kruger, U ; Kubelka-Sabit, K ; Kurian, AW ; Kyriacou, K ; Lambrechts, D ; Lee, DG ; Lindblom, A ; Linet, M ; Lissowska, J ; Llaneza, A ; Lo, W-Y ; MacInnis, RJ ; Mannermaa, A ; Manoochehri, M ; Margolin, S ; Martinez, ME ; McLean, C ; Meindl, A ; Menon, U ; Nevanlinna, H ; Newman, WG ; Nodora, J ; Offit, K ; Olsson, H ; Orr, N ; Park-Simon, T-W ; Patel, A ; Peto, J ; Pita, G ; Plaseska-Karanfilska, D ; Prentice, R ; Punie, K ; Pylkas, K ; Radice, P ; Rennert, G ; Romero, A ; Ruediger, T ; Saloustros, E ; Sampson, S ; Sandler, DP ; Sawyer, EJ ; Schmutzler, RK ; Schoemaker, MJ ; Schottker, B ; Sherman, ME ; Shu, X-O ; Smichkoska, S ; Southey, MC ; Spinelli, JJ ; Swerdlow, AJ ; Tamimi, RM ; Tapper, WJ ; Taylor, JA ; Teras, LR ; Terry, MB ; Torres, D ; Troester, MA ; Vachon, CM ; van Deurzen, CHM ; van Veen, EM ; Wagner, P ; Weinberg, CR ; Wendt, C ; Wesseling, J ; Winqvist, R ; Wolk, A ; Yang, XR ; Zheng, W ; Couch, FJ ; Simard, J ; Kraft, P ; Easton, DF ; Pharoah, PDP ; Schmidt, MK ; Garcia-Closas, M ; Chatterjee, N (BMC, 2022-01-04)
    BACKGROUND: Genome-wide association studies (GWAS) have identified multiple common breast cancer susceptibility variants. Many of these variants have differential associations by estrogen receptor (ER) status, but how these variants relate with other tumor features and intrinsic molecular subtypes is unclear. METHODS: Among 106,571 invasive breast cancer cases and 95,762 controls of European ancestry with data on 173 breast cancer variants identified in previous GWAS, we used novel two-stage polytomous logistic regression models to evaluate variants in relation to multiple tumor features (ER, progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and grade) adjusting for each other, and to intrinsic-like subtypes. RESULTS: Eighty-five of 173 variants were associated with at least one tumor feature (false discovery rate < 5%), most commonly ER and grade, followed by PR and HER2. Models for intrinsic-like subtypes found nearly all of these variants (83 of 85) associated at p < 0.05 with risk for at least one luminal-like subtype, and approximately half (41 of 85) of the variants were associated with risk of at least one non-luminal subtype, including 32 variants associated with triple-negative (TN) disease. Ten variants were associated with risk of all subtypes in different magnitude. Five variants were associated with risk of luminal A-like and TN subtypes in opposite directions. CONCLUSION: This report demonstrates a high level of complexity in the etiology heterogeneity of breast cancer susceptibility variants and can inform investigations of subtype-specific risk prediction.
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    Rare germline copy number variants (CNVs) and breast cancer risk
    Dennis, J ; Tyrer, JP ; Walker, LC ; Michailidou, K ; Dorling, L ; Bolla, MK ; Wang, Q ; Ahearn, TU ; Andrulis, IL ; Anton-Culver, H ; Antonenkova, NN ; Arndt, V ; Aronson, KJ ; Freeman, LEB ; Beckmann, MW ; Behrens, S ; Benitez, J ; Bermisheva, M ; Bogdanova, N ; Bojesen, SE ; Brenner, H ; Castelao, JE ; Chang-Claude, J ; Chenevix-Trench, G ; Clarke, CL ; Collee, JM ; Couch, FJ ; Cox, A ; Cross, SS ; Czene, K ; Devilee, P ; Dork, T ; Dossus, L ; Eliassen, AH ; Eriksson, M ; Evans, DG ; Fasching, PA ; Figueroa, J ; Fletcher, O ; Flyger, H ; Fritschi, L ; Gabrielson, M ; Gago-Dominguez, M ; Garcia-Closas, M ; Giles, GG ; Gonzalez-Neira, A ; Guenel, P ; Hahnen, E ; Haiman, CA ; Hall, P ; Hollestelle, A ; Hoppe, R ; Hopper, JL ; Howell, A ; Jager, A ; Jakubowska, A ; John, EM ; Johnson, N ; Jones, ME ; Jung, A ; Kaaks, R ; Keeman, R ; Khusnutdinova, E ; Kitahara, CM ; Ko, Y-D ; Kosma, V-M ; Koutros, S ; Kraft, P ; Kristensen, VN ; Kubelka-Sabit, K ; Kurian, AW ; Lacey, J ; Lambrechts, D ; Larson, NL ; Linet, M ; Ogrodniczak, A ; Mannermaa, A ; Manoukian, S ; Margolin, S ; Mavroudis, D ; Milne, RL ; Muranen, TA ; Murphy, RA ; Nevanlinna, H ; Olson, JE ; Olsson, H ; Park-Simon, T-W ; Perou, CM ; Peterlongo, P ; Plaseska-Karanfilska, D ; Pylkas, K ; Rennert, G ; Saloustros, E ; Sandler, DP ; Sawyer, EJ ; Schmidt, MK ; Schmutzler, RK ; Shibli, R ; Smeets, A ; Soucy, P ; Southey, MC ; Swerdlow, AJ ; Tamimi, RM ; Taylor, JA ; Teras, LR ; Terry, MB ; Tomlinson, I ; Troester, MA ; Truong, T ; Vachon, CM ; Wendt, C ; Winqvist, R ; Wolk, A ; Yang, XR ; Zheng, W ; Ziogas, A ; Simard, J ; Dunning, AM ; Pharoah, PDP ; Easton, DF (NATURE PORTFOLIO, 2022-01-18)
    Germline copy number variants (CNVs) are pervasive in the human genome but potential disease associations with rare CNVs have not been comprehensively assessed in large datasets. We analysed rare CNVs in genes and non-coding regions for 86,788 breast cancer cases and 76,122 controls of European ancestry with genome-wide array data. Gene burden tests detected the strongest association for deletions in BRCA1 (P = 3.7E-18). Nine other genes were associated with a p-value < 0.01 including known susceptibility genes CHEK2 (P = 0.0008), ATM (P = 0.002) and BRCA2 (P = 0.008). Outside the known genes we detected associations with p-values < 0.001 for either overall or subtype-specific breast cancer at nine deletion regions and four duplication regions. Three of the deletion regions were in established common susceptibility loci. To the best of our knowledge, this is the first genome-wide analysis of rare CNVs in a large breast cancer case-control dataset. We detected associations with exonic deletions in established breast cancer susceptibility genes. We also detected suggestive associations with non-coding CNVs in known and novel loci with large effects sizes. Larger sample sizes will be required to reach robust levels of statistical significance.
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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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    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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    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 ; Gesta, P ; Prieur, FP ; Bronner, M ; Sokolowska, J ; Coulet, F ; Boutry-Kryza, N ; Calender, A ; Giraud, S ; Leone, M ; Fert-Ferrer, S ; Jiao, Y ; Lesueur, FL ; Barouk-Simonet, E ; Bubien, V ; Longy, M ; Sevenet, N ; Gladieff, L ; Toulas, C ; Reimineras, A ; Sobol, H ; Bressac-de Paillerets, B ; Cabaret, O ; Caron, O ; Guillaud-Bataille, M ; Rouleau, E ; Belotti, M ; Buecher, B ; Caputo, S ; Colas, C ; De Pauw, A ; Fourme, E ; Gauthier-Villars, M ; Golmard, L ; Moncoutier, V ; Saule, C ; Donaldson, A ; Murray, A ; Brady, A ; Brewer, C ; Pottinger, C ; Miller, C ; Gallagher, D ; Gregory, H ; Cook, J ; Eason, J ; Adlard, J ; Barwell, J ; Ong, K-R ; Snape, K ; Walker, L ; Izatt, L ; Side, L ; Rogers, MT ; Porteous, ME ; Ahmed, M ; Morrison, PJ ; Brennan, P ; Eeles, R ; Davidson, R ; Sexton, A ; Christian, A ; Trainer, A ; Spigelman, A ; Fellows, A ; Shelling, A ; De Fazio, A ; Blackburn, A ; Crook, A ; Meiser, B ; Patterson, B ; Clarke, C ; Hunt, C ; Scott, C ; Amor, D ; Marsh, D ; Edkins, E ; Salisbury, E ; Haan, E ; Neidermayr, E ; Macrea, F ; Farshid, G ; Lindeman, G ; Trench, G ; Mann, G ; Giles, G ; Gill, G ; Thorne, H ; Hickie, I ; Winship, I ; Flanagan, J ; Kollias, J ; Visvader, J ; Taylor, J ; Burke, J ; Saunus, J ; Forbes, J ; Hopper, J ; French, J ; Tucker, K ; Wu, K ; Phillips, K ; Lipton, L ; Andrews, L ; Lobb, L ; Walker, L ; Kentwell, M ; Spurdle, M ; Cummings, M ; Gleeson, M ; Harris, M ; Jenkins, M ; Young, MA ; Delatycki, M ; Wallis, M ; Burgess, M ; Price, M ; Brown, M ; Southey, M ; Bogwitz, M ; Field, M ; Friedlander, M ; Gattas, M ; Saleh, M ; Hayward, N ; Pachter, N ; Cohen, P ; Duijf, P ; James, P ; Simpson, P ; Fong, P ; Butow, P ; Williams, R ; Kefford, R ; Scott, R ; Milne, R ; Balleine, R ; Dawson, S ; Lok, S ; O'Connell, S ; Greening, S ; Nightingale, S ; Edwards, S ; Fox, S ; Mclachlan, S-A ; Lakhani, S ; Antill, Y ; Aalfs, C ; Meijers-Heijboer, H ; van Engelen, K ; Gille, H ; Boere, I ; Collee, M ; van Deurzen, C ; Hooning, M ; Obdeijn, I-M ; van den Ouweland, A ; 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.
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    Transcriptome-wide association study of breast cancer risk by estrogen-receptor status
    Feng, H ; Gusev, A ; Pasaniuc, B ; Wu, L ; Long, J ; Abu-full, Z ; Aittomaki, K ; Andrulis, IL ; Anton-Culver, H ; Antoniou, AC ; Arason, A ; Arndt, V ; Aronson, KJ ; Arun, BK ; Asseryanis, E ; Auer, PL ; Azzollini, J ; Balmana, J ; Barkardottir, RB ; Barnes, DR ; Barrowdale, D ; Beckmann, MW ; Behrens, S ; Benitez, J ; Bermisheva, M ; Bialkowska, K ; Blanco, A ; Blomqvist, C ; Boeckx, B ; Bogdanova, NV ; Bojesen, SE ; Bolla, MK ; Bonanni, B ; Borg, A ; Brauch, H ; Brenner, H ; Briceno, I ; Broeks, A ; Bruening, T ; Burwinkel, B ; Cai, Q ; Caldes, T ; Caligo, MA ; Campbell, I ; Canisius, S ; Campa, D ; Carter, BD ; Carter, J ; Castelao, JE ; Chang-Claude, J ; Chanock, SJ ; Christiansen, H ; Chung, WK ; Claes, KBM ; Clarke, CL ; Couch, FJ ; Cox, A ; Cross, SS ; Cybulski, C ; Czene, K ; Daly, MB ; de la Hoya, M ; De Leeneer, K ; Dennis, J ; Devilee, P ; Diez, O ; Domchek, SM ; Doerk, T ; dos-Santos-Silva, I ; Dunning, AM ; Dwek, M ; Eccles, DM ; Ejlertsen, B ; Ellberg, C ; Engel, C ; Eriksson, M ; Fasching, PA ; Fletcher, O ; Flyger, H ; Fostira, F ; Friedman, E ; Fritschi, L ; Frost, D ; Gabrielson, M ; Ganz, PA ; Gapstur, SM ; Garber, J ; Garcia-Closas, M ; Garcia-Saenz, JA ; Gaudet, MM ; Giles, GG ; Glendon, G ; Godwin, AK ; Goldberg, MS ; Goldgar, DE ; Gonzalez-Neira, A ; Greene, MH ; Gronwald, J ; Guenel, P ; Haiman, CA ; Hall, P ; Hamann, U ; Hake, C ; He, W ; Heyworth, J ; Hogervorst, FBL ; Hollestelle, A ; Hooning, MJ ; Hoover, RN ; Hopper, JL ; Huang, G ; Hulick, PJ ; Humphreys, K ; Imyanitov, EN ; Isaacs, C ; Jakimovska, M ; Jakubowska, A ; James, P ; Janavicius, R ; Jankowitz, RC ; John, EM ; Johnson, N ; Joseph, V ; Jung, A ; Karlan, BY ; Khusnutdinova, E ; Kiiski, J ; Konstantopoulou, I ; Kristensen, VN ; Laitman, Y ; Lambrechts, D ; Lazaro, C ; Leroux, D ; Leslie, G ; Lester, J ; Lesueur, F ; Lindor, N ; Lindstrom, S ; Lo, W-Y ; Loud, JT ; Lubinski, J ; Makalic, E ; Mannermaa, A ; Manoochehri, M ; Manoukian, S ; Margolin, S ; Martens, JWM ; Martinez, ME ; Matricardi, L ; Maurer, T ; Mavroudis, D ; McGuffog, L ; Meindl, A ; Menon, U ; Michailidou, K ; Kapoor, PM ; Miller, A ; Montagna, M ; Moreno, F ; Moserle, L ; Mulligan, AM ; Muranen, TA ; Nathanson, KL ; Neuhausen, SL ; Nevanlinna, H ; Nevelsteen, I ; Nielsen, FC ; Nikitina-Zake, L ; Offit, K ; Olah, E ; Olopade, O ; Olsson, H ; Osorio, A ; Papp, J ; Park-Simon, T-W ; Parsons, MT ; Pedersen, IS ; Peixoto, A ; Peterlongo, P ; Peto, J ; Pharoah, PDP ; Phillips, K-A ; Plaseska-Karanfilska, D ; Poppe, B ; Pradhan, N ; Prajzendanc, K ; Presneau, N ; Punie, K ; Pylkas, K ; Radice, P ; Rantala, J ; Rashid, MU ; Rennert, G ; Risch, HA ; Robson, M ; Romero, A ; Saloustros, E ; Sandler, DP ; Santos, C ; Sawyer, EJ ; Schmidt, MK ; Schmidt, DF ; Schmutzler, RK ; Schoemaker, MJ ; Scott, RJ ; Sharma, P ; Shu, X-O ; Simard, J ; Singer, CF ; Skytte, A-B ; Soucy, P ; Southey, MC ; Spinelli, JJ ; Spurdle, AB ; Stone, J ; Swerdlow, AJ ; Tapper, WJ ; Taylor, JA ; Teixeira, MR ; Terry, MB ; Teule, A ; Thomassen, M ; Thoene, K ; Thull, DL ; Tischkowitz, M ; Toland, AE ; Tollenaar, RAEM ; Torres, D ; Truong, T ; Tung, N ; Vachon, CM ; van Asperen, CJ ; van den Ouweland, AMW ; van Rensburg, EJ ; Vega, A ; Viel, A ; Vieiro-Balo, P ; Wang, Q ; Wappenschmidt, B ; Weinberg, CR ; Weitzel, JN ; Wendt, C ; Winqvist, R ; Yang, XR ; Yannoukakos, D ; Ziogas, A ; Milne, RL ; Easton, DF ; Chenevix-Trench, G ; Zheng, W ; Kraft, P ; Jiang, X (WILEY, 2020-07)
    Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations have been limited. In this study, we conducted a TWAS using gene expression data from GTEx and summary statistics from the hitherto largest GWAS meta-analysis conducted for breast cancer overall, and by estrogen receptor subtypes (ER+ and ER-). We further compared associations with ER+ and ER- subtypes, using a case-only TWAS approach. We also conducted multigene conditional analyses in regions with multiple TWAS associations. Two genes, STXBP4 and HIST2H2BA, were specifically associated with ER+ but not with ER- breast cancer. We further identified 30 TWAS-significant genes associated with overall breast cancer risk, including four that were not identified in previous studies. Conditional analyses identified single independent breast-cancer gene in three of six regions harboring multiple TWAS-significant genes. Our study provides new information on breast cancer genetics and biology, particularly about genomic differences between ER+ and ER- breast cancer.