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117 results on '"van der Hout AH"'

1. Causality and functional relevance of BRCA1 and BRCA2 pathogenic variants in non‐high‐grade serous ovarian carcinomas

Author: Kramer, CJH, primary, Lanjouw, L, additional, Ruano, D, additional, ter Elst, A, additional, Santandrea, G, additional, Solleveld‐Westerink, N, additional, Werner, N, additional, van der Hout, AH, additional, de Kroon, CD, additional, van Wezel, T, additional, Berger, LPV, additional, Jalving, M, additional, Wesseling, J, additional, Smit, VTHBM, additional, de Bock, GH, additional, van Asperen, CJ, additional, Mourits, MJE, additional, Vreeswijk, MPG, additional, Bart, J, additional, and Bosse, T, additional
Published: 2023
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2. Causality and functional relevance of BRCA1 and BRCA2 pathogenic variants in non‐high‐grade serous ovarian carcinomas.

Author: Kramer, CJH, Lanjouw, L, Ruano, D, ter Elst, A, Santandrea, G, Solleveld‐Westerink, N, Werner, N, van der Hout, AH, de Kroon, CD, van Wezel, T, Berger, LPV, Jalving, M, Wesseling, J, Smit, VTHBM, de Bock, GH, van Asperen, CJ, Mourits, MJE, Vreeswijk, MPG, Bart, J, and Bosse, T
Subjects: OVARIAN epithelial cancer, HOMOLOGOUS recombination, BRCA genes, PATIENT selection, CARCINOMA
Abstract: The identification of causal BRCA1/2 pathogenic variants (PVs) in epithelial ovarian carcinoma (EOC) aids the selection of patients for genetic counselling and treatment decision‐making. Current recommendations therefore stress sequencing of all EOCs, regardless of histotype. Although it is recognised that BRCA1/2 PVs cluster in high‐grade serous ovarian carcinomas (HGSOC), this view is largely unsubstantiated by detailed analysis. Here, we aimed to analyse the results of BRCA1/2 tumour sequencing in a centrally revised, consecutive, prospective series including all EOC histotypes. Sequencing of n = 946 EOCs revealed BRCA1/2 PVs in 125 samples (13%), only eight of which were found in non‐HGSOC histotypes. Specifically, BRCA1/2 PVs were identified in high‐grade endometrioid (3/20; 15%), low‐grade endometrioid (1/40; 2.5%), low‐grade serous (3/67; 4.5%), and clear cell (1/64; 1.6%) EOCs. No PVs were identified in any mucinous ovarian carcinomas tested. By re‐evaluation and using loss of heterozygosity and homologous recombination deficiency analyses, we then assessed: (1) whether the eight 'anomalous' cases were potentially histologically misclassified and (2) whether the identified variants were likely causal in carcinogenesis. The first 'anomalous' non‐HGSOC with a BRCA1/2 PV proved to be a misdiagnosed HGSOC. Next, germline BRCA2 variants, found in two p53‐abnormal high‐grade endometrioid tumours, showed substantial evidence supporting causality. One additional, likely causal variant, found in a p53‐wildtype low‐grade serous ovarian carcinoma, was of somatic origin. The remaining cases showed retention of the BRCA1/2 wildtype allele, suggestive of non‐causal secondary passenger variants. We conclude that likely causal BRCA1/2 variants are present in high‐grade endometrioid tumours but are absent from the other EOC histotypes tested. Although the findings require validation, these results seem to justify a transition from universal to histotype‐directed sequencing. Furthermore, in‐depth functional analysis of tumours harbouring BRCA1/2 variants combined with detailed revision of cancer histotypes can serve as a model in other BRCA1/2‐related cancers. © 2023 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. [ABSTRACT FROM AUTHOR]
Published: 2024
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3. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

Author: 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, Balmaña, 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, YE, 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, Dörk, T, Du Bois, A, Dürst, 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, Håkansson, N, Hamann, U, Hansen, TVO, Harris, HR, Hartman, M, Heitz, F, Hildebrandt, MAT, Høgdall, E, Høgdall, CK, Hopper, JL, Huang, RY, Huff, C, Hulick, PJ, Huntsman, DG, Imyanitov, EN, Van Der Hout, AH, Isaacs, C, Jakubowska, A, James, PA, Dareng, EO [0000-0003-0802-419X], Tyrer, JP [0000-0003-3724-4757], Barnes, DR [0000-0002-3781-7570], Yang, X [0000-0003-0037-3790], Andrulis, IL [0000-0002-4226-6435], Augustinsson, A [0000-0003-3415-0536], Barrowdale, D [0000-0003-1661-3939], Bonanni, B [0000-0003-3589-2128], Brenton, JD [0000-0002-5738-6683], Butzow, R [0000-0003-4366-5099], Chanock, SJ [0000-0002-2324-3393], Claes, KBM [0000-0003-0841-7372], de la Hoya, M [0000-0002-8113-1410], de Putter, R [0000-0001-9410-8941], Dennis, J [0000-0003-4591-1214], Devilee, P [0000-0002-8023-2009], du Bois, A [0000-0002-8477-506X], Machackova, E [0000-0002-0246-1471], Giles, GG [0000-0003-4946-9099], Godwin, AK [0000-0002-3987-9580], Greene, MH [0000-0003-1852-9239], Heitz, F [0000-0002-2412-0352], Hulick, PJ [0000-0001-8397-4078], Jakubowska, A [0000-0002-5650-0501], James, PA [0000-0002-4361-4657], and Apollo - University of Cambridge Repository
Subjects: Rare Diseases, FOS: Biological sciences, Prevention, Genetics, 32 Biomedical and Clinical Sciences, 3211 Oncology and Carcinogenesis, 3105 Genetics, 31 Biological Sciences, Ovarian Cancer, Cancer
Abstract: Funder: Funding details are provided in the Supplementary Material, 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 ancestry; 7,669 women of East Asian ancestry; 1,072 women of African ancestry, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestry. 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 ancestry; 1.14(95%CI:1.08–1.19,AUC:0.538) in women of East Asian ancestry; 1.38(95%CI:1.21-1.58,AUC:0.593) in women of African ancestry; hazard ratios of 1.37(95%CI:1.30–1.44,AUC:0.592) in BRCA1 pathogenic variant carriers and 1.51(95%CI:1.36-1.67,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.
Published: 2022
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4. Polygenic risk modeling for prediction of epithelial ovarian cancer risk (vol 30, pg 349, 2021)

Author: 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, 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, and Pharoah, PDP
Published: 2022

5. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ∼200,000 patients

Author: Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, Schmidt, MK, Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, and Schmidt, MK
Abstract: BACKGROUND: Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors. METHODS: We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models. RESULTS: The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56-0.74) versus 0.63 (95%PI 0.54-0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34-2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers. CONCLUSIONS: Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging.
Published: 2022

6. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ∼ 200,000 patients (vol 24, 69, 2022)

Author: Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, Schmidt, MK, Giardiello, D, Hooning, MJ, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, BAM, Becher, H, Blomqvist, C, Bojesen, SE, Bolla, MK, Camp, NJ, Czene, K, Devilee, P, Eccles, DM, Fasching, PA, Figueroa, JD, Flyger, H, Garcia-Closas, M, Haiman, CA, Hamann, U, Hopper, JL, Jakubowska, A, Leeuwen, FE, Lindblom, A, Lubinski, J, Margolin, S, Martinez, ME, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, PDP, Siesling, S, Southey, MC, van der Hout, AH, van Hest, LP, Chang-Claude, J, Hall, P, Easton, DF, Steyerberg, EW, and Schmidt, MK
Published: 2022

7. A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers (vol 12, 1078, 2021)

Author: Coignard, J, Lush, M, Beesley, J, O'Mara, TA, Dennis, J, Tyrer, JP, Barnes, DR, McGuffog, L, Leslie, G, Bolla, MK, Adank, MA, Agata, S, Ahearn, T, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Arnold, N, Aronson, KJ, Arun, BK, Augustinsson, A, Azzollini, J, Barrowdale, D, Baynes, C, Becher, H, Bermisheva, M, Bernstein, L, Bialkowska, K, Blomqvist, C, Bojesen, SE, Bonanni, B, Borg, A, Brauch, H, Brenner, H, Burwinkel, B, Buys, SS, Caldes, T, Caligo, MA, Campa, D, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chung, WK, Claes, KBM, Clarke, CL, Collee, JM, Conroy, DM, Czene, K, Daly, MB, Devilee, P, Diez, O, Ding, YC, Domchek, SM, Doerk, T, dos-Santos-Silva, I, Dunning, AM, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Flyger, H, Fostira, F, Friedman, E, Fritschi, L, Frost, D, Gago-Dominguez, M, Gapstur, SM, Garber, J, Garcia-Barberan, V, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Gehrig, A, Georgoulias, V, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Greene, MH, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hart, SN, He, W, Hogervorst, FBL, Hollestelle, A, Hopper, JL, Horcasitas, DJ, Hulick, PJ, Hunter, DJ, Imyanitov, EN, Fox, S, van der Hout, AH, Clarke, C, Jager, A, Jakubowska, A, James, PA, Jensen, UB, John, EM, Jones, ME, Kaaks, R, Kapoor, PM, Karlan, BY, Keeman, R, Khusnutdinova, E, Kiiski, JI, Ko, Y-D, Kosma, V-M, Kraft, P, Kurian, AW, Laitman, Y, Lambrechts, D, Le Marchand, L, Lester, J, Lesueur, F, Lindstrom, T, Lopez-Fernandez, A, Loud, JT, Luccarini, C, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Mebirouk, N, Meindl, A, Miller, A, Milne, RL, Montagna, M, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Nielsen, FC, O'Brien, KM, Olopade, OI, Olson, JE, Olsson, H, Osorio, A, Ottini, L, Park-Simon, T-W, Parsons, MT, Pedersen, IS, Peshkin, B, Peterlongo, P, Peto, J, Pharoah, PDP, Phillips, K-A, Polley, EC, Poppe, B, Presneau, N, Pujana, MA, Punie, K, Radice, P, Rantala, J, Rashid, MU, Rennert, G, Rennert, HS, Robson, M, Romero, A, Rossing, M, Saloustros, E, Sandler, DP, Santella, R, Scheuner, MT, Schmidt, MK, Schmidt, G, Scott, C, Sharma, P, Soucy, P, Southey, MC, Spinelli, JJ, Steinsnyder, Z, Stone, J, Stoppa-Lyonnet, D, Swerdlow, A, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Teule, A, Thull, DL, Tischkowitz, M, Toland, AE, Torres, D, Trainer, AH, Truong, T, Tung, N, Vachon, CM, Vega, A, Vijai, J, Wang, Q, Wappenschmidt, B, Weinberg, CR, Weitzel, JN, Wendt, C, Wolk, A, Yadav, S, Yang, XR, Yannoukakos, D, Zheng, W, Ziogas, A, Zorn, KK, Park, SK, Thomassen, M, Offit, K, Schmutzler, RK, Couch, FJ, Simard, J, Chenevix-Trench, G, Easton, DF, Andrieu, N, Antoniou, AC, Coignard, J, Lush, M, Beesley, J, O'Mara, TA, Dennis, J, Tyrer, JP, Barnes, DR, McGuffog, L, Leslie, G, Bolla, MK, Adank, MA, Agata, S, Ahearn, T, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arndt, V, Arnold, N, Aronson, KJ, Arun, BK, Augustinsson, A, Azzollini, J, Barrowdale, D, Baynes, C, Becher, H, Bermisheva, M, Bernstein, L, Bialkowska, K, Blomqvist, C, Bojesen, SE, Bonanni, B, Borg, A, Brauch, H, Brenner, H, Burwinkel, B, Buys, SS, Caldes, T, Caligo, MA, Campa, D, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Chung, WK, Claes, KBM, Clarke, CL, Collee, JM, Conroy, DM, Czene, K, Daly, MB, Devilee, P, Diez, O, Ding, YC, Domchek, SM, Doerk, T, dos-Santos-Silva, I, Dunning, AM, Dwek, M, Eccles, DM, Eliassen, AH, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Flyger, H, Fostira, F, Friedman, E, Fritschi, L, Frost, D, Gago-Dominguez, M, Gapstur, SM, Garber, J, Garcia-Barberan, V, Garcia-Closas, M, Garcia-Saenz, JA, Gaudet, MM, Gayther, SA, Gehrig, A, Georgoulias, V, Giles, GG, Godwin, AK, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Greene, MH, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hall, P, Hamann, U, Harrington, PA, Hart, SN, He, W, Hogervorst, FBL, Hollestelle, A, Hopper, JL, Horcasitas, DJ, Hulick, PJ, Hunter, DJ, Imyanitov, EN, Fox, S, van der Hout, AH, Clarke, C, Jager, A, Jakubowska, A, James, PA, Jensen, UB, John, EM, Jones, ME, Kaaks, R, Kapoor, PM, Karlan, BY, Keeman, R, Khusnutdinova, E, Kiiski, JI, Ko, Y-D, Kosma, V-M, Kraft, P, Kurian, AW, Laitman, Y, Lambrechts, D, Le Marchand, L, Lester, J, Lesueur, F, Lindstrom, T, Lopez-Fernandez, A, Loud, JT, Luccarini, C, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Mebirouk, N, Meindl, A, Miller, A, Milne, RL, Montagna, M, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Nielsen, FC, O'Brien, KM, Olopade, OI, Olson, JE, Olsson, H, Osorio, A, Ottini, L, Park-Simon, T-W, Parsons, MT, Pedersen, IS, Peshkin, B, Peterlongo, P, Peto, J, Pharoah, PDP, Phillips, K-A, Polley, EC, Poppe, B, Presneau, N, Pujana, MA, Punie, K, Radice, P, Rantala, J, Rashid, MU, Rennert, G, Rennert, HS, Robson, M, Romero, A, Rossing, M, Saloustros, E, Sandler, DP, Santella, R, Scheuner, MT, Schmidt, MK, Schmidt, G, Scott, C, Sharma, P, Soucy, P, Southey, MC, Spinelli, JJ, Steinsnyder, Z, Stone, J, Stoppa-Lyonnet, D, Swerdlow, A, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Teule, A, Thull, DL, Tischkowitz, M, Toland, AE, Torres, D, Trainer, AH, Truong, T, Tung, N, Vachon, CM, Vega, A, Vijai, J, Wang, Q, Wappenschmidt, B, Weinberg, CR, Weitzel, JN, Wendt, C, Wolk, A, Yadav, S, Yang, XR, Yannoukakos, D, Zheng, W, Ziogas, A, Zorn, KK, Park, SK, Thomassen, M, Offit, K, Schmutzler, RK, Couch, FJ, Simard, J, Chenevix-Trench, G, Easton, DF, Andrieu, N, and Antoniou, AC
Abstract: Breast cancer (BC) risk for BRCA1 and BRCA2 mutation carriers varies by genetic and familial factors. About 50 common variants have been shown to modify BC risk for mutation carriers. All but three, were identified in general population studies. Other mutation carrier-specific susceptibility variants may exist but studies of mutation carriers have so far been underpowered. We conduct a novel case-only genome-wide association study comparing genotype frequencies between 60,212 general population BC cases and 13,007 cases with BRCA1 or BRCA2 mutations. We identify robust novel associations for 2 variants with BC for BRCA1 and 3 for BRCA2 mutation carriers, P < 10-8, at 5 loci, which are not associated with risk in the general population. They include rs60882887 at 11p11.2 where MADD, SP11 and EIF1, genes previously implicated in BC biology, are predicted as potential targets. These findings will contribute towards customising BC polygenic risk scores for BRCA1 and BRCA2 mutation carriers.
Published: 2021

8. National external quality assessment for next-generation sequencing-based diagnostics of primary immunodeficiencies

Author: Elsink, K, Huibers, MMH, Hollink, Iris, van der Veken, LT, Ernst, RF, Simons, A, Zonneveld-Huijssoon, E, van der Hout, AH, Abbott, KM, Hoischen, A, Pieterse, M, Kuijpers, TWJ, van Montfrans, JM, van Gijn, ME, Elsink, K, Huibers, MMH, Hollink, Iris, van der Veken, LT, Ernst, RF, Simons, A, Zonneveld-Huijssoon, E, van der Hout, AH, Abbott, KM, Hoischen, A, Pieterse, M, Kuijpers, TWJ, van Montfrans, JM, and van Gijn, ME
Abstract: Dutch genome diagnostic centers (GDC) use next-generation sequencing (NGS)-based diagnostic applications for the diagnosis of primary immunodeficiencies (PIDs). The interpretation of genetic variants in many PIDs is complicated because of the phenotypic and genetic heterogeneity. To analyze uniformity of variant filtering, interpretation, and reporting in NGS-based diagnostics for PID, an external quality assessment was performed. Four main Dutch GDCs participated in the quality assessment. Unannotated variant call format (VCF) files of two PID patient analyses per laboratory were distributed among the four GDCs, analyzed, and interpreted (eight analyses in total). Variants that would be reported to the clinician and/or advised for further investigation were compared between the centers. A survey measuring the experiences of clinical laboratory geneticists was part of the study. Analysis of samples with confirmed diagnoses showed that all centers reported at least the variants classified as likely pathogenic (LP) or pathogenic (P) variants in all samples, except for variants in two genes (PSTPIP1 and BTK). The absence of clinical information complicated correct classification of variants. In this external quality assessment, the final interpretation and conclusions of the genetic analyses were uniform among the four participating genetic centers. Clinical and immunological data provided by a medical specialist are required to be able to draw proper conclusions from genetic data.
Published: 2021

9. Breast and ovarian cancer risks in a large series of clinically ascertained families with a high proportion of BRCA1 and BRCA2 Dutch founder mutations

Author: Brohet, Richard M, Velthuizen, Maria E, Hogervorst, Frans B L, EJ Meijers-Heijboer, Hanne, Seynaeve, Caroline, Collée, Margriet J, Verhoef, Senno, Ausems, Margreet G E M, Hoogerbrugge, Nicoline, van Asperen, Christi J, Gómez García, Encarna, Menko, Fred, Oosterwijk, Jan C, Devilee, Peter, Veer, Laura J vanʼt, van Leeuwen, Flora E, Easton, Douglas F, Rookus, Matti A, Antoniou, Antonis C, Rookus, MA, Brohet, RM, Hogervorst, FBL, van Leeuwen, FE, Verhoef, S, Schmidt, MK, de Lange, JL, Collée, JM, van den Ouweland, AMW, Hooning, MJ, Seynaeve, C, van Deurzen, CHM, van Asperen, CJ, Wijnen, JT, Tollenaar, RAEM, Devilee, P, van Cronenburg, TCTEF, Kets, CM, Mensenkamp, AR, Ausems, MGEM, van der Luijt, RB, Aalfs, CM, van Os, TAM, Gille, JJP, Waisfisz, Q, Meijers-Heijboer, HEJ, Gómez-Garcia, EB, Blok, MJ, Oosterwijk, JC, van der Hout, AH, Mourits, MJ, de Bock, GH, and Vasen, HFA
Published: 2014
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10. Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer

Author: Ferreira, MA, Gamazon, ER, Al-Ejeh, F, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arason, A, Arndt, V, Aronson, KJ, Arun, BK, Asseryanis, E, Azzollini, J, Balmana, J, Barnes, DR, Barrowdale, D, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bialkowska, K, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bolla, MK, Borg, A, Brauch, H, Brenner, H, Broeks, A, Burwinkel, B, Caldes, T, Caligo, MA, Campa, D, Campbell, I, Canzian, F, Carter, J, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Christiansen, H, Chung, WK, Claes, KBM, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, de la Hoya, M, Dennis, J, Devilee, P, Diez, O, Doerk, T, Dunning, AM, Dwek, M, Eccles, DM, Ejlertsen, B, Ellberg, C, Engel, C, Eriksson, M, Fasching, PA, Fletcher, O, Flyger, H, Friedman, E, Frost, D, Gabrielson, M, Gago-Dominguez, 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, He, W, Heyworth, J, Hogervorst, FBL, Hollestelle, A, Hoover, RN, Hopper, JL, Hulick, PJ, Humphreys, K, Imyanitov, EN, Isaacs, C, Jakimovska, M, Jakubowska, A, James, PA, Janavicius, R, Jankowitz, RC, John, EM, Johnson, N, Joseph, V, Karlan, BY, Khusnutdinova, E, Kiiski, J, Ko, Y-D, Jones, ME, Konstantopoulou, I, Kristensen, VN, Laitman, Y, Lambrechts, D, Lazaro, C, Leslie, G, Lester, J, Lesueur, F, Lindstrom, S, Long, J, Loud, JT, Lubinski, J, Makalic, E, Mannermaa, A, Manoochehri, M, Margolin, S, Maurer, T, Mavroudis, D, McGuffog, L, Meindl, A, Menon, U, Michailidou, K, Miller, A, Montagna, M, Moreno, F, Moserle, L, Mulligan, AM, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Nevelsteen, I, Nielsen, FC, Nikitina-Zake, L, Nussbaum, RL, Offit, K, Olah, E, Olopade, O, Olsson, H, Osorio, A, Papp, J, Park-Simon, T-W, Parsons, MT, Pedersen, IS, Peixoto, A, Peterlongo, P, Pharoah, PDP, Plaseska-Karanfilska, D, Poppe, B, Presneau, N, Radice, P, Rantala, J, Rennert, G, Risch, HA, Saloustros, E, Sanden, K, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Sharma, P, Shu, X-O, Simard, J, Singer, CF, 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, Torres, D, Truong, T, Tung, N, Vachon, CM, van Asperen, CJ, van den Ouweland, AMW, van Rensburg, EJ, Vega, A, Viel, A, Wang, Q, Wappenschmidt, B, Weitzel, JN, Wendt, C, Winqvist, R, Yang, XR, Yannoukakos, D, Ziogas, A, Kraft, P, Antoniou, AC, Zheng, W, Easton, DF, Milne, RL, Beesley, J, Chenevix-Trench, G, Arnold, N, Auber, B, Bogdanova-Markov, N, Borde, J, Caliebe, A, Ditsch, N, Dworniczak, B, Engert, S, Faust, U, Gehrig, A, Hahnen, E, Hauke, J, Hentschel, J, Herold, N, Honisch, E, Just, W, Kast, K, Larsen, M, Lemke, J, Huu, PN, Niederacher, D, Ott, C-E, Platzer, K, Pohl-Rescigno, E, Ramser, J, Rhiem, K, Steinemann, D, Sutter, C, Varon-Mateeva, R, Wang-Gohrke, S, Weber, BHF, Prieur, F, Pujol, P, Sagne, C, Sevenet, N, Sobol, H, Sokolowska, J, Stoppa-Lyonnet, D, Venat-Bouvet, L, Adlard, J, Ahmed, M, Barwell, J, Brady, A, Brewer, C, Cook, J, Davidson, R, Donaldson, A, Eason, J, Eeles, R, Evans, DG, Gregory, H, Hanson, H, Henderson, A, Hodgson, S, Izatt, L, Kennedy, MJ, Lalloo, F, Miller, C, Morrison, PJ, Ong, K-R, Perkins, J, Porteous, ME, Rogers, MT, Side, LE, Snape, K, Walker, L, Harrington, PA, Heemskerk-Gerritsen, BAM, Rookus, MA, Seynaeve, CM, van der Baan, FH, van der Hout, AH, van der Kolk, LE, van der Luijt, RB, van Deurzen, CHM, van Doorn, HC, van Engelen, K, van Hest, L, van Os, TAM, Verhoef, S, Vogel, MJ, Wijnen, JT, Miron, A, Kapuscinski, M, Bane, A, Ross, E, Buys, SS, Conner, TA, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, SC, Marsh, D, Morey, A, Pathmanathan, N, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Ferreira, MA, Gamazon, ER, Al-Ejeh, F, Aittomaki, K, Andrulis, IL, Anton-Culver, H, Arason, A, Arndt, V, Aronson, KJ, Arun, BK, Asseryanis, E, Azzollini, J, Balmana, J, Barnes, DR, Barrowdale, D, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bialkowska, K, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bolla, MK, Borg, A, Brauch, H, Brenner, H, Broeks, A, Burwinkel, B, Caldes, T, Caligo, MA, Campa, D, Campbell, I, Canzian, F, Carter, J, Carter, BD, Castelao, JE, Chang-Claude, J, Chanock, SJ, Christiansen, H, Chung, WK, Claes, KBM, Clarke, CL, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, de la Hoya, M, Dennis, J, Devilee, P, Diez, O, Doerk, T, Dunning, AM, Dwek, M, Eccles, DM, Ejlertsen, B, Ellberg, C, Engel, C, Eriksson, M, Fasching, PA, Fletcher, O, Flyger, H, Friedman, E, Frost, D, Gabrielson, M, Gago-Dominguez, 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, He, W, Heyworth, J, Hogervorst, FBL, Hollestelle, A, Hoover, RN, Hopper, JL, Hulick, PJ, Humphreys, K, Imyanitov, EN, Isaacs, C, Jakimovska, M, Jakubowska, A, James, PA, Janavicius, R, Jankowitz, RC, John, EM, Johnson, N, Joseph, V, Karlan, BY, Khusnutdinova, E, Kiiski, J, Ko, Y-D, Jones, ME, Konstantopoulou, I, Kristensen, VN, Laitman, Y, Lambrechts, D, Lazaro, C, Leslie, G, Lester, J, Lesueur, F, Lindstrom, S, Long, J, Loud, JT, Lubinski, J, Makalic, E, Mannermaa, A, Manoochehri, M, Margolin, S, Maurer, T, Mavroudis, D, McGuffog, L, Meindl, A, Menon, U, Michailidou, K, Miller, A, Montagna, M, Moreno, F, Moserle, L, Mulligan, AM, Nathanson, KL, Neuhausen, SL, Nevanlinna, H, Nevelsteen, I, Nielsen, FC, Nikitina-Zake, L, Nussbaum, RL, Offit, K, Olah, E, Olopade, O, Olsson, H, Osorio, A, Papp, J, Park-Simon, T-W, Parsons, MT, Pedersen, IS, Peixoto, A, Peterlongo, P, Pharoah, PDP, Plaseska-Karanfilska, D, Poppe, B, Presneau, N, Radice, P, Rantala, J, Rennert, G, Risch, HA, Saloustros, E, Sanden, K, Sawyer, EJ, Schmidt, MK, Schmutzler, RK, Sharma, P, Shu, X-O, Simard, J, Singer, CF, 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, Torres, D, Truong, T, Tung, N, Vachon, CM, van Asperen, CJ, van den Ouweland, AMW, van Rensburg, EJ, Vega, A, Viel, A, Wang, Q, Wappenschmidt, B, Weitzel, JN, Wendt, C, Winqvist, R, Yang, XR, Yannoukakos, D, Ziogas, A, Kraft, P, Antoniou, AC, Zheng, W, Easton, DF, Milne, RL, Beesley, J, Chenevix-Trench, G, Arnold, N, Auber, B, Bogdanova-Markov, N, Borde, J, Caliebe, A, Ditsch, N, Dworniczak, B, Engert, S, Faust, U, Gehrig, A, Hahnen, E, Hauke, J, Hentschel, J, Herold, N, Honisch, E, Just, W, Kast, K, Larsen, M, Lemke, J, Huu, PN, Niederacher, D, Ott, C-E, Platzer, K, Pohl-Rescigno, E, Ramser, J, Rhiem, K, Steinemann, D, Sutter, C, Varon-Mateeva, R, Wang-Gohrke, S, Weber, BHF, Prieur, F, Pujol, P, Sagne, C, Sevenet, N, Sobol, H, Sokolowska, J, Stoppa-Lyonnet, D, Venat-Bouvet, L, Adlard, J, Ahmed, M, Barwell, J, Brady, A, Brewer, C, Cook, J, Davidson, R, Donaldson, A, Eason, J, Eeles, R, Evans, DG, Gregory, H, Hanson, H, Henderson, A, Hodgson, S, Izatt, L, Kennedy, MJ, Lalloo, F, Miller, C, Morrison, PJ, Ong, K-R, Perkins, J, Porteous, ME, Rogers, MT, Side, LE, Snape, K, Walker, L, Harrington, PA, Heemskerk-Gerritsen, BAM, Rookus, MA, Seynaeve, CM, van der Baan, FH, van der Hout, AH, van der Kolk, LE, van der Luijt, RB, van Deurzen, CHM, van Doorn, HC, van Engelen, K, van Hest, L, van Os, TAM, Verhoef, S, Vogel, MJ, Wijnen, JT, Miron, A, Kapuscinski, M, Bane, A, Ross, E, Buys, SS, Conner, TA, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, SC, Marsh, D, Morey, A, Pathmanathan, N, Simpson, P, Spigelman, A, Wilcken, N, and Yip, D
Abstract: Genome-wide association studies (GWAS) have identified more than 170 breast cancer susceptibility loci. Here we hypothesize that some risk-associated variants might act in non-breast tissues, specifically adipose tissue and immune cells from blood and spleen. Using expression quantitative trait loci (eQTL) reported in these tissues, we identify 26 previously unreported, likely target genes of overall breast cancer risk variants, and 17 for estrogen receptor (ER)-negative breast cancer, several with a known immune function. We determine the directional effect of gene expression on disease risk measured based on single and multiple eQTL. In addition, using a gene-based test of association that considers eQTL from multiple tissues, we identify seven (and four) regions with variants associated with overall (and ER-negative) breast cancer risk, which were not reported in previous GWAS. Further investigation of the function of the implicated genes in breast and immune cells may provide insights into the etiology of breast cancer.
Published: 2019

11. Families with BAP1-Tumor Predisposition Syndrome in The Netherlands: Path to Identification and a Proposal for Genetic Screening Guidelines

Author: Chau, C, van Doorn, R, van Poppelen, Natasha, van der Stoep, N, Mensenkamp, AR, Sijmons, RH, Paassen, Barbara, van den Ouweland, Ans, Naus, Nicole, van der Hout, AH, Potjer, TP, Bleeker, FE, Wevers, MR, Hest, LP, Jongmans, M C, Marinkovic, M, Bleeker, JC, Jager, MJ, Luyten, GPM, Nielsen, M, Chau, C, van Doorn, R, van Poppelen, Natasha, van der Stoep, N, Mensenkamp, AR, Sijmons, RH, Paassen, Barbara, van den Ouweland, Ans, Naus, Nicole, van der Hout, AH, Potjer, TP, Bleeker, FE, Wevers, MR, Hest, LP, Jongmans, M C, Marinkovic, M, Bleeker, JC, Jager, MJ, Luyten, GPM, and Nielsen, M
Published: 2019

12. Oral Contraceptive Use and Breast Cancer Risk: Retrospective and Prospective Analyses From a BRCA1 and BRCA2 Mutation Carrier Cohort Study

Author: Schrijver, LH, Olsson, H, Phillips, K-A, Terry, MB, Goldgar, DE, Kast, K, Engel, C, Mooij, TM, Adlard, J, Barrowdale, D, Davidson, R, Eeles, R, Ellis, S, Evans, DG, Frost, D, Izatt, L, Porteous, ME, Side, LE, Walker, L, Berthet, P, Bonadona, V, Leroux, D, Mouret-Fourme, E, Venat-Bouvet, L, Buys, SS, Southey, MC, John, EM, Chung, WK, Daly, MB, Bane, A, van Asperen, CJ, Garcia, EBG, Mourits, MJE, van Os, TAM, Roos-Blom, M-J, Friedlander, ML, McLachlan, S-A, Singer, CF, Tan, YY, Foretova, L, Navratilova, M, Schmutzler, RK, Ellberg, C, Gerdes, A-M, Caldes, T, Simard, J, Olah, E, Jakubowska, A, Arver, B, Osorio, A, Nogues, C, Andrieu, N, Easton, DF, van Leeuwen, FE, Hopper, JL, Milne, RL, Antoniou, AC, Rookus, MA, Hogervorst, FBL, Adank, MA, Schmidt, MK, Russell, NS, de Lange, JL, Wijnands, R, Jenner, DJ, Collee, JM, van den Ouweland, AMW, Hooning, MJ, Seynaeve, C, van Deurzen, CHM, Obdeijn, IM, Wijnen, JT, Tollenaar, RAEM, Devilee, P, van Cronenburg, TCTEF, Kets, CM, Mensenkamp, AR, Ausems, MGEM, van der Luijt, RB, van der Pol, CC, Aalfs, CM, Meijers-Heijboer, HEJ, van Engelen, K, Gille, JJP, Waisfisz, Q, Gomez-Garcia, EB, Blok, MJ, Oosterwijk, JC, van der Hout, AH, Mourits, MJ, de Bock, GH, Siesling, S, Verloop, J, Overbeek, LIH, Schrijver, LH, Olsson, H, Phillips, K-A, Terry, MB, Goldgar, DE, Kast, K, Engel, C, Mooij, TM, Adlard, J, Barrowdale, D, Davidson, R, Eeles, R, Ellis, S, Evans, DG, Frost, D, Izatt, L, Porteous, ME, Side, LE, Walker, L, Berthet, P, Bonadona, V, Leroux, D, Mouret-Fourme, E, Venat-Bouvet, L, Buys, SS, Southey, MC, John, EM, Chung, WK, Daly, MB, Bane, A, van Asperen, CJ, Garcia, EBG, Mourits, MJE, van Os, TAM, Roos-Blom, M-J, Friedlander, ML, McLachlan, S-A, Singer, CF, Tan, YY, Foretova, L, Navratilova, M, Schmutzler, RK, Ellberg, C, Gerdes, A-M, Caldes, T, Simard, J, Olah, E, Jakubowska, A, Arver, B, Osorio, A, Nogues, C, Andrieu, N, Easton, DF, van Leeuwen, FE, Hopper, JL, Milne, RL, Antoniou, AC, Rookus, MA, Hogervorst, FBL, Adank, MA, Schmidt, MK, Russell, NS, de Lange, JL, Wijnands, R, Jenner, DJ, Collee, JM, van den Ouweland, AMW, Hooning, MJ, Seynaeve, C, van Deurzen, CHM, Obdeijn, IM, Wijnen, JT, Tollenaar, RAEM, Devilee, P, van Cronenburg, TCTEF, Kets, CM, Mensenkamp, AR, Ausems, MGEM, van der Luijt, RB, van der Pol, CC, Aalfs, CM, Meijers-Heijboer, HEJ, van Engelen, K, Gille, JJP, Waisfisz, Q, Gomez-Garcia, EB, Blok, MJ, Oosterwijk, JC, van der Hout, AH, Mourits, MJ, de Bock, GH, Siesling, S, Verloop, J, and Overbeek, LIH
Abstract: BACKGROUND: For BRCA1 and BRCA2 mutation carriers, the association between oral contraceptive preparation (OCP) use and breast cancer (BC) risk is still unclear. METHODS: Breast camcer risk associations were estimated from OCP data on 6030 BRCA1 and 3809 BRCA2 mutation carriers using age-dependent Cox regression, stratified by study and birth cohort. Prospective, left-truncated retrospective and full-cohort retrospective analyses were performed. RESULTS: For BRCA1 mutation carriers, OCP use was not associated with BC risk in prospective analyses (hazard ratio [HR] = 1.08, 95% confidence interval [CI] = 0.75 to 1.56), but in the left-truncated and full-cohort retrospective analyses, risks were increased by 26% (95% CI = 6% to 51%) and 39% (95% CI = 23% to 58%), respectively. For BRCA2 mutation carriers, OCP use was associated with BC risk in prospective analyses (HR = 1.75, 95% CI = 1.03 to 2.97), but retrospective analyses were inconsistent (left-truncated: HR = 1.06, 95% CI = 0.85 to 1.33; full cohort: HR = 1.52, 95% CI = 1.28 to 1.81). There was evidence of increasing risk with duration of use, especially before the first full-term pregnancy (BRCA1: both retrospective analyses, P < .001 and P = .001, respectively; BRCA2: full retrospective analysis, P = .002). CONCLUSIONS: Prospective analyses did not show that past use of OCP is associated with an increased BC risk for BRCA1 mutation carriers in young middle-aged women (40-50 years). For BRCA2 mutation carriers, a causal association is also not likely at those ages. Findings between retrospective and prospective analyses were inconsistent and could be due to survival bias or a true association for younger women who were underrepresented in the prospective cohort. Given the uncertain safety of long-term OCP use for BRCA1/2 mutation carriers, indications other than contraception should be avoided and nonhormonal contraceptive methods should be discussed.
Published: 2018

13. The Influence of Number and Timing of Pregnancies on Breast Cancer Risk for Women With BRCA1 or BRCA2 Mutations

Author: Terry, MB, Liao, Y, Kast, K, Antoniou, AC, McDonald, JA, Mooij, TM, Engel, C, Nogues, C, Buecher, B, Mari, V, Moretta-Serra, J, Gladieff, L, Luporsi, E, Barrowdale, D, Frost, D, Henderson, A, Brewer, C, Evans, DG, Eccles, D, Cook, J, Ong, K-R, Izatt, L, Ahmed, M, Morrison, PJ, Dommering, CJ, Oosterwijk, JC, Ausems, MGEM, Kriege, M, Buys, SS, Andrulis, IL, John, EM, Daly, M, Friedlander, M, McLachlan, SA, Osorio, A, Caldes, T, Jakubowska, A, Simard, J, Singer, CF, Tan, Y, Olah, E, Navratilova, M, Foretova, L, Gerdes, A-M, Roos-Blom, M-J, Arver, B, Olsson, H, Schmutzler, RK, Hopper, JL, van Leeuwen, FE, Goldgar, D, Milne, RL, Easton, DF, Rookus, MA, Andrieu, N, Evans, G, Adlard, J, Eeles, R, Davidson, R, Tischkowitz, M, Snape, K, Walker, L, Porteous, M, Donaldson, A, Morrison, P, Eason, J, Rogers, M, Miller, C, Brady, A, Kennedy, MJ, Barwell, J, Gregory, H, Pottinger, C, Murray, A, Angelakos, M, Dite, G, Tsimiklis, H, Breysse, E, Pontois, P, Laborde, L, Stoppa-Lyonnet, D, Gauthier-Villars, M, Caron, O, Fourme-Mouret, E, Fricker, J-P, Lasset, C, Bonadona, V, Fert-Ferrer, S, Berthet, P, Venat-Bouvet, L, Gilbert-Dussardier, B, Faivre, L, Gesta, P, Sobol, H, Eisinger, F, Longy, M, Dugast, C, Coupier, I, Colas, C, Soubrier, F, Pujol, P, Corsini, C, Lortholary, A, Vennin, P, Adenis, C, Tan, DN, Penet, C, Delnatte, C, Tinat, J, Tennevet, I, Limacher, J-M, Maugard, C, Demange, L, Dreyfus, H, Cohen-Haguenauer, O, Leroux, D, Zattara-Cannoni, H, Bera, O, Hogervorst, FBL, Adank, MA, Schmidt, MK, Russell, NS, Jenner, DJ, Collee, JM, van den Ouweland, AMW, Hooning, MJ, Seynaeve, CM, van Deurzen, CHM, Obdeijn, IM, van Asperen, CJ, Devilee, P, Kets, CM, Mensenkamp, AR, Koudijs, MJ, Aalfs, CM, van Engelen, K, Gille, JJP, Gomez-Garcia, EB, Blok, MJ, van der Hout, AH, Mourits, MJ, de Bock, GH, Siesling, S, Verloop, J, van den Belt-Dusebout, AW, Terry, MB, Liao, Y, Kast, K, Antoniou, AC, McDonald, JA, Mooij, TM, Engel, C, Nogues, C, Buecher, B, Mari, V, Moretta-Serra, J, Gladieff, L, Luporsi, E, Barrowdale, D, Frost, D, Henderson, A, Brewer, C, Evans, DG, Eccles, D, Cook, J, Ong, K-R, Izatt, L, Ahmed, M, Morrison, PJ, Dommering, CJ, Oosterwijk, JC, Ausems, MGEM, Kriege, M, Buys, SS, Andrulis, IL, John, EM, Daly, M, Friedlander, M, McLachlan, SA, Osorio, A, Caldes, T, Jakubowska, A, Simard, J, Singer, CF, Tan, Y, Olah, E, Navratilova, M, Foretova, L, Gerdes, A-M, Roos-Blom, M-J, Arver, B, Olsson, H, Schmutzler, RK, Hopper, JL, van Leeuwen, FE, Goldgar, D, Milne, RL, Easton, DF, Rookus, MA, Andrieu, N, Evans, G, Adlard, J, Eeles, R, Davidson, R, Tischkowitz, M, Snape, K, Walker, L, Porteous, M, Donaldson, A, Morrison, P, Eason, J, Rogers, M, Miller, C, Brady, A, Kennedy, MJ, Barwell, J, Gregory, H, Pottinger, C, Murray, A, Angelakos, M, Dite, G, Tsimiklis, H, Breysse, E, Pontois, P, Laborde, L, Stoppa-Lyonnet, D, Gauthier-Villars, M, Caron, O, Fourme-Mouret, E, Fricker, J-P, Lasset, C, Bonadona, V, Fert-Ferrer, S, Berthet, P, Venat-Bouvet, L, Gilbert-Dussardier, B, Faivre, L, Gesta, P, Sobol, H, Eisinger, F, Longy, M, Dugast, C, Coupier, I, Colas, C, Soubrier, F, Pujol, P, Corsini, C, Lortholary, A, Vennin, P, Adenis, C, Tan, DN, Penet, C, Delnatte, C, Tinat, J, Tennevet, I, Limacher, J-M, Maugard, C, Demange, L, Dreyfus, H, Cohen-Haguenauer, O, Leroux, D, Zattara-Cannoni, H, Bera, O, Hogervorst, FBL, Adank, MA, Schmidt, MK, Russell, NS, Jenner, DJ, Collee, JM, van den Ouweland, AMW, Hooning, MJ, Seynaeve, CM, van Deurzen, CHM, Obdeijn, IM, van Asperen, CJ, Devilee, P, Kets, CM, Mensenkamp, AR, Koudijs, MJ, Aalfs, CM, van Engelen, K, Gille, JJP, Gomez-Garcia, EB, Blok, MJ, van der Hout, AH, Mourits, MJ, de Bock, GH, Siesling, S, Verloop, J, and van den Belt-Dusebout, AW
Abstract: BACKGROUND: Full-term pregnancy (FTP) is associated with a reduced breast cancer (BC) risk over time, but women are at increased BC risk in the immediate years following an FTP. No large prospective studies, however, have examined whether the number and timing of pregnancies are associated with BC risk for BRCA1 and BRCA2 mutation carriers. METHODS: Using weighted and time-varying Cox proportional hazards models, we investigated whether reproductive events are associated with BC risk for mutation carriers using a retrospective cohort (5707 BRCA1 and 3525 BRCA2 mutation carriers) and a prospective cohort (2276 BRCA1 and 1610 BRCA2 mutation carriers), separately for each cohort and the combined prospective and retrospective cohort. RESULTS: For BRCA1 mutation carriers, there was no overall association with parity compared with nulliparity (combined hazard ratio [HRc] = 0.99, 95% confidence interval [CI] = 0.83 to 1.18). Relative to being uniparous, an increased number of FTPs was associated with decreased BC risk (HRc = 0.79, 95% CI = 0.69 to 0.91; HRc = 0.70, 95% CI = 0.59 to 0.82; HRc = 0.50, 95% CI = 0.40 to 0.63, for 2, 3, and ≥4 FTPs, respectively, P trend < .0001) and increasing duration of breastfeeding was associated with decreased BC risk (combined cohort P trend = .0003). Relative to being nulliparous, uniparous BRCA1 mutation carriers were at increased BC risk in the prospective analysis (prospective hazard ration [HRp] = 1.69, 95% CI = 1.09 to 2.62). For BRCA2 mutation carriers, being parous was associated with a 30% increase in BC risk (HRc = 1.33, 95% CI = 1.05 to 1.69), and there was no apparent decrease in risk associated with multiparity except for having at least 4 FTPs vs. 1 FTP (HRc = 0.72, 95% CI = 0.54 to 0.98). CONCLUSIONS: These findings suggest differential associations with parity between BRCA1 and BRCA2 mutation carriers with higher risk for uniparous BRCA1 carriers and parous BRCA2 carriers.
Published: 2018

14. Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations

Author: 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, 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, and Nathanson, KL
Abstract: 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.
Published: 2018

15. Assessing associations between the AURKAHMMR-TPX2-TUBG1 functional module and breast cancer risk in BRCA1/2 mutation carriers

Author: Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, X, Barrowdale, D, De Garibay, GR, Librado, P, Sánchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Català, I, Brunet, J, Feliubadaló, L, Tornero, E, Benítez, J, Osorio, A, Teresa, R, Teresa, C, Nevanlinna, H, Aittomäki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Díez, O, Hansen, TV, Jønson, L, Gerdes, AM, Ejlertsen, B, De La Hoya, M, Caldés, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, T, Hogervorst, FBL, Van Der Hout, AH, Seynaeve, C, Van Der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, Van Den Ouweland, AMW, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, and Wang-Gohrke, S
Subjects: skin and connective tissue diseases
Abstract: While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04 - 1.15, p = 1.9 × 10-4(false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted pinteractionvalues > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.
Published: 2015
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16. Uptake of prenatal diagnostic testing for retinoblastoma compared to other hereditary cancer syndromes in the Netherlands

Author: Dommering, CJ, Henneman, L, van der Hout, AH, Jonker, MA (Marianne), Tops, CMJ, van den Ouweland, Ans, van der Luijt, RB, Mensenkamp, AR, Hogervorst, FBL, Redeker, EJW, de Die-Smulders, CEM, Moll, AC, Meijers-Heijboer, H, Dommering, CJ, Henneman, L, van der Hout, AH, Jonker, MA (Marianne), Tops, CMJ, van den Ouweland, Ans, van der Luijt, RB, Mensenkamp, AR, Hogervorst, FBL, Redeker, EJW, de Die-Smulders, CEM, Moll, AC, and Meijers-Heijboer, H
Published: 2017

17. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

Author: Couch, FJ, Wang, X, McGuffog, L, Lee, A, Olswold, C, Kuchenbaecker, KB, Soucy, P, Fredericksen, Z, Barrowdale, D, Dennis, J, Gaudet, MM, Dicks, E, Kosel, M, Healey, S, Sinilnikova, OM, Bacot, F, Vincent, D, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Jakubowska, A, Radice, P, Schmutzler, RK, Domchek, SM, Piedmonte, M, Singer, CF, Friedman, E, Thomassen, M, Hansen, TVO, Neuhausen, SL, Szabo, CI, Blanco, I, Greene, MH, Karlan, BY, Garber, J, Phelan, CM, Weitzel, JN, Montagna, M, Olah, E, Andrulis, IL, Godwin, AK, Yannoukakos, D, Goldgar, DE, Caldes, T, Nevanlinna, H, Osorio, A, Terry, MB, Daly, MB, van Rensburg, EJ, Hamann, U, Ramus, SJ, Ewart Toland, A, Caligo, MA, Olopade, OI, Tung, N, Claes, K, Beattie, MS, Southey, MC, Imyanitov, EN, Tischkowitz, M, Janavicius, R, John, EM, Kwong, A, Diez, O, Balmaña, J, Barkardottir, RB, Arun, BK, Rennert, G, Teo, SH, Ganz, PA, Campbell, I, van der Hout, AH, van Deurzen, CHM, Seynaeve, C, Gómez Garcia, EB, van Leeuwen, FE, Meijers-Heijboer, HEJ, Gille, JJP, Ausems, MGEM, Blok, MJ, Ligtenberg, MJL, Rookus, MA, Devilee, P, Verhoef, S, van Os, TAM, Wijnen, JT, Frost, D, Ellis, S, Fineberg, E, Platte, R, and Evans, DG
Subjects: endocrine system diseases, skin and connective tissue diseases
Abstract: BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10-8, HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10-8, HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4×10-8, HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10-4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers. © 2013 Couch et al.
Published: 2013
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18. Assessing Associations between the AURKA-HMMR-TPX2-TUBG1 Functional Module and Breast Cancer Risk in BRCA1/2 Mutation Carriers

Author: Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, XS, Barrowdale, D, Garibay, GR, Librado, P, Sanchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Catala, I, Brunet, J, Feliubadalo, L, Tornero, E, Benitez, J, Osorio, A, Cajal, TRY, Nevanlinna, H, Aittomaki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Diez, O, Hansen, TV, Jonson, L, Gerdes, AM, Ejlertsen, B, de la Hoya, M, Caldees, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, Hogervorst, FBL, van der Hout, AH, Seynaeve, Caroline, van der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, van den Ouweland, Ans, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, Wang-Gohrke, S, Steinemann, D, Preisler-Adams, S, Kast, K, Varon-Mateeva, R, Gehrig, A, Bojesen, A, Pedersen, IS, Sunde, L, Jensen, UB, Thomassen, Marga, Kruse, TA, Foretova, L, Peterlongo, P, Bernard, L, Peissel, B, Scuvera, G, Manoukian, S, Radice, P, Ottini, L, Montagna, M, Agata, S, Maugard, C, Simard, J, Soucy, P, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Geschwantler-Kaulich, D, Tea, MK, Pfeiler, G, John, EM, Miron, A, Neuhausen, SL, Terry, MB, Chung, WK, Daly, MB, Goldgar, DE, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Fostira, F, Konstantopoulou, I, Garber, J, Godwin, AK, Olah, E, Narod, SA, Rennert, G, Paluch, SS, Laitman, Y, Friedman, E, Liljegren, A, Rantala, J, Stenmark-Askmalm, M, Loman, N, Imyanitov, EN, Hamann, U, Spurdle, AB, Healey, S, Weitzel, JN, Herzog, J, Margileth, D, Gorrini, C, Esteller, M, Gomez, A, Sayols, S, Vidal, E, Heyn, H, Stoppa-Lyonnet, Leone, M, Barjhoux, L, Fassy-Colcombet, M, de Pauw, A, Lasset, C, Ferrer, SF, Castera, L, Berthet, P, Cornelis, F, Bignon, YJ, Damiola, F, Mazoyer, S, Sinilnikova, OM, Maxwell, CA, Vijai, J, Robson, M, Kauff, N, Corines, MJ, Villano, D, Cunningham, J, van der Lee, A, Lindor, N, Lazaro, C (Conxi), Easton, DF, Offit, K, Chenevix-Trench, G, Couch, FJ, Antoniou, AC, Pujana, MA, Blanco, I, Kuchenbaecker, K, Cuadras, D, Wang, XS, Barrowdale, D, Garibay, GR, Librado, P, Sanchez-Gracia, A, Rozas, J, Bonifaci, N, McGuffog, L, Pankratz, VS, Islam, A, Mateo, F, Berenguer, A, Petit, A, Catala, I, Brunet, J, Feliubadalo, L, Tornero, E, Benitez, J, Osorio, A, Cajal, TRY, Nevanlinna, H, Aittomaki, K, Arun, BK, Toland, AE, Karlan, BY, Walsh, C, Lester, J, Greene, MH, Mai, PL, Nussbaum, RL, Andrulis, IL, Domchek, SM, Nathanson, KL, Rebbeck, TR, Barkardottir, RB, Jakubowska, A, Lubinski, J, Durda, K, Jaworska-Bieniek, K, Claes, K, Van Maerken, T, Diez, O, Hansen, TV, Jonson, L, Gerdes, AM, Ejlertsen, B, de la Hoya, M, Caldees, T, Dunning, AM, Oliver, C, Fineberg, E, Cook, M, Peock, S, McCann, E, Murray, A, Jacobs, C, Pichert, G, Lalloo, F, Chu, C, Dorkins, H, Paterson, J, Ong, KR, Teixeira, MR, Teixeira, Hogervorst, FBL, van der Hout, AH, Seynaeve, Caroline, van der Luijt, RB, Ligtenberg, MJL, Devilee, P, Wijnen, JT, Rookus, MA, Meijers-Heijboer, HEJ, Blok, MJ, van den Ouweland, Ans, Aalfs, CM, Rodriguez, GC, Phillips, KAA, Piedmonte, M, Nerenstone, SR, Bae-Jump, VL, O'Malley, DM, Ratner, ES, Schmutzler, RK, Wappenschmidt, B, Rhiem, K, Engel, C, Meindl, A, Ditsch, N, Arnold, N, Plendl, HJ, Niederacher, D, Sutter, C, Wang-Gohrke, S, Steinemann, D, Preisler-Adams, S, Kast, K, Varon-Mateeva, R, Gehrig, A, Bojesen, A, Pedersen, IS, Sunde, L, Jensen, UB, Thomassen, Marga, Kruse, TA, Foretova, L, Peterlongo, P, Bernard, L, Peissel, B, Scuvera, G, Manoukian, S, Radice, P, Ottini, L, Montagna, M, Agata, S, Maugard, C, Simard, J, Soucy, P, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Geschwantler-Kaulich, D, Tea, MK, Pfeiler, G, John, EM, Miron, A, Neuhausen, SL, Terry, MB, Chung, WK, Daly, MB, Goldgar, DE, Janavicius, R, Dorfling, CM, van Rensburg, EJ, Fostira, F, Konstantopoulou, I, Garber, J, Godwin, AK, Olah, E, Narod, SA, Rennert, G, Paluch, SS, Laitman, Y, Friedman, E, Liljegren, A, Rantala, J, Stenmark-Askmalm, M, Loman, N, Imyanitov, EN, Hamann, U, Spurdle, AB, Healey, S, Weitzel, JN, Herzog, J, Margileth, D, Gorrini, C, Esteller, M, Gomez, A, Sayols, S, Vidal, E, Heyn, H, Stoppa-Lyonnet, Leone, M, Barjhoux, L, Fassy-Colcombet, M, de Pauw, A, Lasset, C, Ferrer, SF, Castera, L, Berthet, P, Cornelis, F, Bignon, YJ, Damiola, F, Mazoyer, S, Sinilnikova, OM, Maxwell, CA, Vijai, J, Robson, M, Kauff, N, Corines, MJ, Villano, D, Cunningham, J, van der Lee, A, Lindor, N, Lazaro, C (Conxi), Easton, DF, Offit, K, Chenevix-Trench, G, Couch, FJ, Antoniou, AC, and Pujana, MA
Abstract: While interplay between BRCA1 and AURKA-RHAMM-TPX2-TUBG1 regulates mammary epithelial polarization, common genetic variation in HMMR (gene product RHAMM) may be associated with risk of breast cancer in BRCA1 mutation carriers. Following on these observations, we further assessed the link between the AURKA-HMMR-TPX2-TUBG1 functional module and risk of breast cancer in BRCA1 or BRCA2 mutation carriers. Forty-one single nucleotide polymorphisms (SNPs) were genotyped in 15,252 BRCA1 and 8,211 BRCA2 mutation carriers and subsequently analyzed using a retrospective likelihood approach. The association of HMMR rs299290 with breast cancer risk in BRCA1 mutation carriers was confirmed: per-allele hazard ratio (HR) = 1.10, 95% confidence interval (CI) 1.04 - 1.15, p = 1.9 x 10(-4) (false discovery rate (FDR)-adjusted p = 0.043). Variation in CSTF1, located next to AURKA, was also found to be associated with breast cancer risk in BRCA2 mutation carriers: rs2426618 per-allele HR = 1.10, 95% CI 1.03 - 1.16, p = 0.005 (FDR-adjusted p = 0.045). Assessment of pairwise interactions provided suggestions (FDR-adjusted p(interaction) values > 0.05) for deviations from the multiplicative model for rs299290 and CSTF1 rs6064391, and rs299290 and TUBG1 rs11649877 in both BRCA1 and BRCA2 mutation carriers. Following these suggestions, the expression of HMMR and AURKA or TUBG1 in sporadic breast tumors was found to potentially interact, influencing patients' survival. Together, the results of this study support the hypothesis of a causative link between altered function of AURKA-HMMR-TPX2-TUBG1 and breast carcinogenesis in BRCA1/2 mutation carriers.
Published: 2015

19. From gene to disease; incontinentia pigmenti and the Nemo-gene

Author: Oranje, Arnold, Arts, WFM, Wagner, Anja, van der Hout, AH, Simonsz, Huib, Dermatology, Neurology, Clinical Genetics, and Ophthalmology
Published: 2005

20. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

Author: Kuchenbaecker, KB, Neuhausen, SL, Robson, M, Barrowdale, D, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, SJ, Domchek, SM, Nathanson, KL, Lee, A, Healey, S, Nussbaum, RL, Rebbeck, TR, Arun, BK, James, P, Karlan, BY, Lester, J, Cass, I, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, CM, van Rensburg, EJ, Steele, L, Hansen, TVO, Ejlertsen, B, Gerdes, A-M, Nielsen, FC, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, JN, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, MG, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, DG, Frost, D, Eccles, D, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K-R, Walker, L, Izatt, L, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, AK, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova-Markov, N, Kast, K, Varon-Mateeva, R, Wang-Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa-Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, OM, Mazoyer, S, Bonadona, V, Caux-Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, GC, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, FBL, Aalfs, CM, de lange, JL, Meijers-Heijboer, HEJ, van der Hout, AH, Wijnen, JT, van Roozendaal, KEP, Mensenkamp, AR, van den Ouweland, AMW, van Deurzen, CHM, van der Luijt, RB, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teule, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska-Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, MR, Olswold, C, Lindor, N, Pankratz, VS, Hallberg, E, Wang, X, Szabo, CI, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Kaulich, DG, Pfeiler, G, Tea, M-K, Phelan, CM, Mai, PL, Greene, MH, Rennert, G, Imyanitov, EN, Glendon, G, Toland, AE, Bojesen, A, Pedersen, IS, Jensen, UB, Caligo, MA, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, OI, Simard, J, Easton, DF, Chenevix-Trench, G, Offit, K, Couch, FJ, Antoniou, AC, Kuchenbaecker, KB, Neuhausen, SL, Robson, M, Barrowdale, D, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, SJ, Domchek, SM, Nathanson, KL, Lee, A, Healey, S, Nussbaum, RL, Rebbeck, TR, Arun, BK, James, P, Karlan, BY, Lester, J, Cass, I, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, CM, van Rensburg, EJ, Steele, L, Hansen, TVO, Ejlertsen, B, Gerdes, A-M, Nielsen, FC, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, JN, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, MG, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, DG, Frost, D, Eccles, D, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K-R, Walker, L, Izatt, L, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, AK, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova-Markov, N, Kast, K, Varon-Mateeva, R, Wang-Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa-Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, OM, Mazoyer, S, Bonadona, V, Caux-Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, GC, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, FBL, Aalfs, CM, de lange, JL, Meijers-Heijboer, HEJ, van der Hout, AH, Wijnen, JT, van Roozendaal, KEP, Mensenkamp, AR, van den Ouweland, AMW, van Deurzen, CHM, van der Luijt, RB, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teule, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska-Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, MR, Olswold, C, Lindor, N, Pankratz, VS, Hallberg, E, Wang, X, Szabo, CI, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink-Retter, A, Singer, CF, Rappaport, C, Kaulich, DG, Pfeiler, G, Tea, M-K, Phelan, CM, Mai, PL, Greene, MH, Rennert, G, Imyanitov, EN, Glendon, G, Toland, AE, Bojesen, A, Pedersen, IS, Jensen, UB, Caligo, MA, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, OI, Simard, J, Easton, DF, Chenevix-Trench, G, Offit, K, Couch, FJ, and Antoniou, AC
Abstract: INTRODUCTION: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. METHODS: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. RESULTS: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC) = 0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC = 0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC = 0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P <10(-6) in the analyses by PR status, HER2 status, TN phenotype, morphologic subtypes, histological grade and nodal involvement
Published: 2014

21. Associations of common breast cancer susceptibility alleles with risk of breast cancer subtypes in BRCA1 and BRCA2 mutation carriers

Author: Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, CIMBA, Kuchenbaecker, K, Neuhausen, S, Robson, M, Barrowdale, D, Mcguffog, L, Mulligan, A, Andrulis, I, Spurdle, A, Schmidt, M, Schmutzler, R, Engel, C, Wappenschmidt, B, Nevanlinna, H, Thomassen, M, Southey, M, Radice, P, Ramus, S, Domchek, S, Nathanson, K, Lee, A, Healey, S, Nussbaum, R, Rebbeck, T, Arun, B, James, P, Karlan, B, Lester, J, Cass, I, Breast Cancer Family, R, Terry, M, Daly, M, Goldgar, D, Buys, S, Janavicius, R, Tihomirova, L, Tung, N, Dorfling, C, van Rensburg, E, Steele, L, v. O. Hansen, T, Ejlertsen, B, Gerdes, A, Nielsen, F, Dennis, J, Cunningham, J, Hart, S, Slager, S, Osorio, A, Benitez, J, Duran, M, Weitzel, J, Tafur, I, Hander, M, Peterlongo, P, Manoukian, S, Peissel, B, Roversi, G, Scuvera, G, Bonanni, B, Mariani, P, Volorio, S, Dolcetti, R, Varesco, L, Papi, L, Tibiletti, M, Giannini, G, Fostira, F, Konstantopoulou, I, Garber, J, Hamann, U, Donaldson, A, Brewer, C, Foo, C, Evans, D, Frost, D, Eccles, D, Embrace, S, Douglas, F, Brady, A, Cook, J, Tischkowitz, M, Adlard, J, Barwell, J, Ong, K, Walker, L, Izatt, L, Side, L, Kennedy, M, Rogers, M, Porteous, M, Morrison, P, Platte, R, Eeles, R, Davidson, R, Hodgson, S, Ellis, S, Godwin, A, Rhiem, K, Meindl, A, Ditsch, N, Arnold, N, Plendl, H, Niederacher, D, Sutter, C, Steinemann, D, Bogdanova Markov, N, Kast, K, Varon Mateeva, R, Wang Gohrke, S, Gehrig, A, Markiefka, B, Buecher, B, Lefol, C, Stoppa Lyonnet, D, Rouleau, E, Prieur, F, Damiola, F, GEMO Study, C, Barjhoux, L, Faivre, L, Longy, M, Sevenet, N, Sinilnikova, O, Mazoyer, S, Bonadona, V, Caux Moncoutier, V, Isaacs, C, Van Maerken, T, Claes, K, Piedmonte, M, Andrews, L, Hays, J, Rodriguez, G, Caldes, T, de la Hoya, M, Khan, S, Hogervorst, F, Aalfs, C, de Lange, J, Meijers Heijboer, H, van der Hout, A, Wijnen, J, van Roozendaal, K, Mensenkamp, A, van den Ouweland, A, van Deurzen, C, van der Luijt, R, Hebon, Olah, E, Diez, O, Lazaro, C, Blanco, I, Teulé, A, Menendez, M, Jakubowska, A, Lubinski, J, Cybulski, C, Gronwald, J, Jaworska Bieniek, K, Durda, K, Arason, A, Maugard, C, Soucy, P, Montagna, M, Agata, S, Teixeira, M, Kconfab, I, Olswold, C, Lindor, N, Pankratz, V, Hallberg, E, Wang, X, Szabo, C, Vijai, J, Jacobs, L, Corines, M, Lincoln, A, Berger, A, Fink Retter, A, Singer, C, Rappaport, C, Kaulich, D, Pfeiler, G, Tea, M, Phelan, C, Mai, P, Greene, M, Rennert, G, Imyanitov, E, Glendon, G, Toland, A, Bojesen, A, Pedersen, I, Jensen, U, Caligo, M, Friedman, E, Berger, R, Laitman, Y, Rantala, J, Arver, B, Loman, N, Borg, A, Ehrencrona, H, Olopade, O, Simard, J, Easton, D, Chenevix Trench, G, Offit, K, Couch, F, Antoniou, A, Cimba, Kuchenbaecker, KB, Neuhausen, SL, McGuffog, L, Mulligan, AM, Andrulis, IL, Spurdle, AB, Schmidt, MK, Schmutzler, RK, Ramus, SJ, Domchek, SM, Nathanson, KL, Nussbaum, RL, Rebbeck, TR, Arun, BK, Karlan, BY, Breast Cancer Family Registry, Terry, MB, Daly, MB, Goldgar, DE, Buys, SS, Dorfling, CM, van Rensburg, EJ, Gerdes, AM, Nielsen, FC, Weitzel, JN, ROVERSI, GAIA, Tibiletti, MG, Evans, DG, EMBRACE Study, Ong, KR, Side, LE, Kennedy, MJ, Rogers, MT, Porteous, ME, Morrison, PJ, Godwin, AK, GEMO Study Collaborators, Sinilnikova, OM, Rodriguez, GC, Hogervorst, FB, Aalfs, CM, de Lange, JL, Meijers Heijboer, HE, van der Hout, AH, Wijnen, JT, van Roozendaal, KE, Mensenkamp, AR, van den Ouweland, AM, van Deurzen, CH, van der Luijt, RB, HEBON, Teixeira, MR, KConFab, Investigators, Pankratz, VS, Szabo, CI, Singer, CF, Kaulich, DG, Tea, MK, Phelan, CM, Mai, PL, Greene, MH, Imyanitov, EN, Toland, AE, Pedersen, IS, Jensen, UB, Caligo, MA, Olopade, OI, Easton, DF, Couch, FJ, Antoniou, AC, and CIMBA
Abstract: Introduction: More than 70 common alleles are known to be involved in breast cancer (BC) susceptibility, and several exhibit significant heterogeneity in their associations with different BC subtypes. Although there are differences in the association patterns between BRCA1 and BRCA2 mutation carriers and the general population for several loci, no study has comprehensively evaluated the associations of all known BC susceptibility alleles with risk of BC subtypes in BRCA1 and BRCA2 carriers. Methods: We used data from 15,252 BRCA1 and 8,211 BRCA2 carriers to analyze the associations between approximately 200,000 genetic variants on the iCOGS array and risk of BC subtypes defined by estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and triple-negative- (TN) status; morphologic subtypes; histological grade; and nodal involvement. Results: The estimated BC hazard ratios (HRs) for the 74 known BC alleles in BRCA1 carriers exhibited moderate correlations with the corresponding odds ratios from the general population. However, their associations with ER-positive BC in BRCA1 carriers were more consistent with the ER-positive associations in the general population (intraclass correlation (ICC)=0.61, 95% confidence interval (CI): 0.45 to 0.74), and the same was true when considering ER-negative associations in both groups (ICC=0.59, 95% CI: 0.42 to 0.72). Similarly, there was strong correlation between the ER-positive associations for BRCA1 and BRCA2 carriers (ICC=0.67, 95% CI: 0.52 to 0.78), whereas ER-positive associations in any one of the groups were generally inconsistent with ER-negative associations in any of the others. After stratifying by ER status in mutation carriers, additional significant associations were observed. Several previously unreported variants exhibited associations at P <10-6 in the analyses by PR status, HER2 status, TN phenotype, morphologic subtypes, histological grade and nodal involvement. Con
Published: 2014

22. The HLA class III subregion is responsible for an increased breast cancer risk (vol 12, pg 2311, 2003)

Author: de Jong, MM, Nolte, IM, de Vries, EGE, Schaapveld, M, Kleibeuker, JH, Oosterom, E, Oosterwijk, JC, van der Hout, AH, van der Steege, G, Bruinenberg, M, Boezen, HM, te Meerman, GJ, van der Graaf, WTA, University of Groningen, Damage and Repair in Cancer Development and Cancer Treatment (DARE), Life Course Epidemiology (LCE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Targeted Gynaecologic Oncology (TARGON), and Groningen Research Institute for Asthma and COPD (GRIAC)
Published: 2003

23. Identification of a BRCA2-Specific Modifier Locus at 6p24 Related to Breast Cancer Risk

Author: Hunter, KW, Gaudet, MM, Kuchenbaecker, KB, Vijai, J, Klein, RJ, Kirchhoff, T, McGuffog, L, Barrowdale, D, Dunning, AM, Lee, A, Dennis, J, Healey, S, Dicks, E, Soucy, P, Sinilnikova, OM, Pankratz, VS, Wang, X, Eldridge, RC, Tessier, DC, Vincent, D, Bacot, F, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Peterlongo, P, Schmutzler, RK, Nathanson, KL, Piedmonte, M, Singer, CF, Thomassen, M, Hansen, TVO, Neuhausen, SL, Blanco, I, Greene, MH, Garber, J, Weitzel, JN, Andrulis, IL, Goldgar, DE, D'Andrea, E, Caldes, T, Nevanlinna, H, Osorio, A, van Rensburg, EJ, Arason, A, Rennert, G, van den Ouweland, AMW, van der Hout, AH, Kets, CM, Aalfs, CM, Wijnen, JT, Ausems, MGEM, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Jacobs, C, Adlard, J, Tischkowitz, M, Porteous, ME, Damiola, F, Golmard, L, Barjhoux, L, Longy, M, Belotti, M, Ferrer, SF, Mazoyer, S, Spurdle, AB, Manoukian, S, Barile, M, Genuardi, M, Arnold, N, Meindl, A, Sutter, C, Wappenschmidt, B, Domchek, SM, Pfeiler, G, Friedman, E, Jensen, UB, Robson, M, Shah, S, Lazaro, C, Mai, PL, Benitez, J, Southey, MC, Schmidt, MK, Fasching, PA, Peto, J, Humphreys, MK, Wang, Q, Michailidou, K, Sawyer, EJ, Burwinkel, B, Guenel, P, Bojesen, SE, Milne, RL, Brenner, H, Lochmann, M, Aittomaki, K, Doerk, T, Margolin, S, Mannermaa, A, Lambrechts, D, Chang-Claude, J, Radice, P, Giles, GG, Haiman, CA, Winqvist, R, Devillee, P, Garcia-Closas, M, Schoof, N, Hooning, MJ, Cox, A, Pharoah, PDP, Jakubowska, A, Orr, N, Gonzalez-Neira, A, Pita, G, Rosario Alonso, M, Hall, P, Couch, FJ, Simard, J, Altshuler, D, Easton, DF, Chenevix-Trench, G, Antoniou, AC, Offit, K, Hunter, KW, Gaudet, MM, Kuchenbaecker, KB, Vijai, J, Klein, RJ, Kirchhoff, T, McGuffog, L, Barrowdale, D, Dunning, AM, Lee, A, Dennis, J, Healey, S, Dicks, E, Soucy, P, Sinilnikova, OM, Pankratz, VS, Wang, X, Eldridge, RC, Tessier, DC, Vincent, D, Bacot, F, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Peterlongo, P, Schmutzler, RK, Nathanson, KL, Piedmonte, M, Singer, CF, Thomassen, M, Hansen, TVO, Neuhausen, SL, Blanco, I, Greene, MH, Garber, J, Weitzel, JN, Andrulis, IL, Goldgar, DE, D'Andrea, E, Caldes, T, Nevanlinna, H, Osorio, A, van Rensburg, EJ, Arason, A, Rennert, G, van den Ouweland, AMW, van der Hout, AH, Kets, CM, Aalfs, CM, Wijnen, JT, Ausems, MGEM, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Jacobs, C, Adlard, J, Tischkowitz, M, Porteous, ME, Damiola, F, Golmard, L, Barjhoux, L, Longy, M, Belotti, M, Ferrer, SF, Mazoyer, S, Spurdle, AB, Manoukian, S, Barile, M, Genuardi, M, Arnold, N, Meindl, A, Sutter, C, Wappenschmidt, B, Domchek, SM, Pfeiler, G, Friedman, E, Jensen, UB, Robson, M, Shah, S, Lazaro, C, Mai, PL, Benitez, J, Southey, MC, Schmidt, MK, Fasching, PA, Peto, J, Humphreys, MK, Wang, Q, Michailidou, K, Sawyer, EJ, Burwinkel, B, Guenel, P, Bojesen, SE, Milne, RL, Brenner, H, Lochmann, M, Aittomaki, K, Doerk, T, Margolin, S, Mannermaa, A, Lambrechts, D, Chang-Claude, J, Radice, P, Giles, GG, Haiman, CA, Winqvist, R, Devillee, P, Garcia-Closas, M, Schoof, N, Hooning, MJ, Cox, A, Pharoah, PDP, Jakubowska, A, Orr, N, Gonzalez-Neira, A, Pita, G, Rosario Alonso, M, Hall, P, Couch, FJ, Simard, J, Altshuler, D, Easton, DF, Chenevix-Trench, G, Antoniou, AC, and Offit, K
Abstract: Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation carriers, we conducted a deep replication of an ongoing GWAS discovery study. Using the ranked P-values of the breast cancer associations with the imputed genotype of 1.4 M SNPs, 19,029 SNPs were selected and designed for inclusion on a custom Illumina array that included a total of 211,155 SNPs as part of a multi-consortial project. DNA samples from 3,881 breast cancer affected and 4,330 unaffected BRCA2 mutation carriers from 47 studies belonging to the Consortium of Investigators of Modifiers of BRCA1/2 were genotyped and available for analysis. We replicated previously reported breast cancer susceptibility alleles in these BRCA2 mutation carriers and for several regions (including FGFR2, MAP3K1, CDKN2A/B, and PTHLH) identified SNPs that have stronger evidence of association than those previously published. We also identified a novel susceptibility allele at 6p24 that was inversely associated with risk in BRCA2 mutation carriers (rs9348512; per allele HR = 0.85, 95% CI 0.80-0.90, P = 3.9 × 10(-8)). This SNP was not associated with breast cancer risk either in the general population or in BRCA1 mutation carriers. The locus lies within a region containing TFAP2A, which encodes a transcriptional activation protein that interacts with several tumor suppressor genes. This report identifies the first breast cancer risk locus specific to a BRCA2 mutation background. This comprehensive update of novel and previously reported breast cancer susceptibility loci contributes to the establishment of a panel of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of br
Published: 2013

24. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

Author: Hunter, KW, Couch, FJ, Wang, X, McGuffog, L, Lee, A, Olswold, C, Kuchenbaecker, KB, Soucy, P, Fredericksen, Z, Barrowdale, D, Dennis, J, Gaudet, MM, Dicks, E, Kosel, M, Healey, S, Sinilnikova, OM, Bacot, F, Vincent, D, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Jakubowska, A, Radice, P, Schmutzler, RK, Domchek, SM, Piedmonte, M, Singer, CF, Friedman, E, Thomassen, M, Hansen, TVO, Neuhausen, SL, Szabo, CI, Blanco, I, Greene, MH, Karlan, BY, Garber, J, Phelan, CM, Weitzel, JN, Montagna, M, Olah, E, Andrulis, IL, Godwin, AK, Yannoukakos, D, Goldgar, DE, Caldes, T, Nevanlinna, H, Osorio, A, Terry, MB, Daly, MB, van Rensburg, EJ, Hamann, U, Ramus, SJ, Toland, AE, Caligo, MA, Olopade, OI, Tung, N, Claes, K, Beattie, MS, Southey, MC, Imyanitov, EN, Tischkowitz, M, Janavicius, R, John, EM, Kwong, A, Diez, O, Balmana, J, Barkardottir, RB, Arun, BK, Rennert, G, Teo, S-H, Ganz, PA, Campbell, I, van der Hout, AH, van Deurzen, CHM, Seynaeve, C, Garcia, EBG, van Leeuwen, FE, Meijers-Heijboer, HEJ, Gille, JJP, Ausems, MGEM, Blok, MJ, Ligtenberg, MJL, Rookus, MA, Devilee, P, Verhoef, S, van Os, TAM, Wijnen, JT, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Izatt, L, Eeles, RA, Adlard, J, Eccles, DM, Cook, J, Brewer, C, Douglas, F, Hodgson, S, Morrison, PJ, Side, LE, Donaldson, A, Houghton, C, Rogers, MT, Dorkins, H, Eason, J, Gregory, H, McCann, E, Murray, A, Calender, A, Hardouin, A, Berthet, P, Delnatte, C, Nogues, C, Lasset, C, Houdayer, C, Leroux, D, Rouleau, E, Prieur, F, Damiola, F, Sobol, H, Coupier, I, Venat-Bouvet, L, Castera, L, Gauthier-Villars, M, Leone, M, Pujol, P, Mazoyer, S, Bignon, Y-J, Zlowocka-Perlowska, E, Gronwald, J, Lubinski, J, Durda, K, Jaworska, K, Huzarski, T, Spurdle, AB, Viel, A, Peissel, B, Bonanni, B, Melloni, G, Ottini, L, Papi, L, Varesco, L, Tibiletti, MG, Peterlongo, P, Volorio, S, Manoukian, S, Pensotti, V, Arnold, N, Engel, C, Deissler, H, Gadzicki, D, Gehrig, A, Kast, K, Rhiem, K, Meindl, A, Niederacher, D, Ditsch, N, Plendl, H, Preisler-Adams, S, Engert, S, Sutter, C, Varon-Mateeva, R, Wappenschmidt, B, Weber, BHF, Arver, B, Stenmark-Askmalm, M, Loman, N, Rosenquist, R, Einbeigi, Z, Nathanson, KL, Rebbeck, TR, Blank, SV, Cohn, DE, Rodriguez, GC, Small, L, Friedlander, M, Bae-Jump, VL, Fink-Retter, A, Rappaport, C, Gschwantler-Kaulich, D, Pfeiler, G, Tea, M-K, Lindor, NM, Kaufman, B, Paluch, SS, Laitman, Y, Skytte, A-B, Gerdes, A-M, Pedersen, IS, Moeller, ST, Kruse, TA, Jensen, UB, Vijai, J, Sarrel, K, Robson, M, Kauff, N, Mulligan, AM, Glendon, G, Ozcelik, H, Ejlertsen, B, Nielsen, FC, Jonson, L, Andersen, MK, Ding, YC, Steele, L, Foretova, L, Teule, A, Lazaro, C, Brunet, J, Angel Pujana, M, Mai, PL, Loud, JT, Walsh, C, Lester, J, Orsulic, S, Narod, SA, Herzog, J, Sand, SR, Tognazzo, S, Agata, S, Vaszko, T, Weaver, J, Stavropoulou, AV, Buys, SS, Romero, A, de la Hoya, M, Aittomaki, K, Muranen, TA, Duran, M, Chung, WK, Lasa, A, Dorfling, CM, Miron, A, Benitez, J, Senter, L, Huo, D, Chan, SB, Sokolenko, AP, Chiquette, J, Tihomirova, L, Friebel, TM, Agnarsson, BA, Lu, KH, Lejbkowicz, F, James, PA, Hall, P, Dunning, AM, Tessier, D, Cunningham, J, Slager, SL, Wang, C, Hart, S, Stevens, K, Simard, J, Pastinen, T, Pankratz, VS, Offit, K, Easton, DF, Chenevix-Trench, G, Antoniou, AC, Hunter, KW, Couch, FJ, Wang, X, McGuffog, L, Lee, A, Olswold, C, Kuchenbaecker, KB, Soucy, P, Fredericksen, Z, Barrowdale, D, Dennis, J, Gaudet, MM, Dicks, E, Kosel, M, Healey, S, Sinilnikova, OM, Bacot, F, Vincent, D, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Jakubowska, A, Radice, P, Schmutzler, RK, Domchek, SM, Piedmonte, M, Singer, CF, Friedman, E, Thomassen, M, Hansen, TVO, Neuhausen, SL, Szabo, CI, Blanco, I, Greene, MH, Karlan, BY, Garber, J, Phelan, CM, Weitzel, JN, Montagna, M, Olah, E, Andrulis, IL, Godwin, AK, Yannoukakos, D, Goldgar, DE, Caldes, T, Nevanlinna, H, Osorio, A, Terry, MB, Daly, MB, van Rensburg, EJ, Hamann, U, Ramus, SJ, Toland, AE, Caligo, MA, Olopade, OI, Tung, N, Claes, K, Beattie, MS, Southey, MC, Imyanitov, EN, Tischkowitz, M, Janavicius, R, John, EM, Kwong, A, Diez, O, Balmana, J, Barkardottir, RB, Arun, BK, Rennert, G, Teo, S-H, Ganz, PA, Campbell, I, van der Hout, AH, van Deurzen, CHM, Seynaeve, C, Garcia, EBG, van Leeuwen, FE, Meijers-Heijboer, HEJ, Gille, JJP, Ausems, MGEM, Blok, MJ, Ligtenberg, MJL, Rookus, MA, Devilee, P, Verhoef, S, van Os, TAM, Wijnen, JT, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Izatt, L, Eeles, RA, Adlard, J, Eccles, DM, Cook, J, Brewer, C, Douglas, F, Hodgson, S, Morrison, PJ, Side, LE, Donaldson, A, Houghton, C, Rogers, MT, Dorkins, H, Eason, J, Gregory, H, McCann, E, Murray, A, Calender, A, Hardouin, A, Berthet, P, Delnatte, C, Nogues, C, Lasset, C, Houdayer, C, Leroux, D, Rouleau, E, Prieur, F, Damiola, F, Sobol, H, Coupier, I, Venat-Bouvet, L, Castera, L, Gauthier-Villars, M, Leone, M, Pujol, P, Mazoyer, S, Bignon, Y-J, Zlowocka-Perlowska, E, Gronwald, J, Lubinski, J, Durda, K, Jaworska, K, Huzarski, T, Spurdle, AB, Viel, A, Peissel, B, Bonanni, B, Melloni, G, Ottini, L, Papi, L, Varesco, L, Tibiletti, MG, Peterlongo, P, Volorio, S, Manoukian, S, Pensotti, V, Arnold, N, Engel, C, Deissler, H, Gadzicki, D, Gehrig, A, Kast, K, Rhiem, K, Meindl, A, Niederacher, D, Ditsch, N, Plendl, H, Preisler-Adams, S, Engert, S, Sutter, C, Varon-Mateeva, R, Wappenschmidt, B, Weber, BHF, Arver, B, Stenmark-Askmalm, M, Loman, N, Rosenquist, R, Einbeigi, Z, Nathanson, KL, Rebbeck, TR, Blank, SV, Cohn, DE, Rodriguez, GC, Small, L, Friedlander, M, Bae-Jump, VL, Fink-Retter, A, Rappaport, C, Gschwantler-Kaulich, D, Pfeiler, G, Tea, M-K, Lindor, NM, Kaufman, B, Paluch, SS, Laitman, Y, Skytte, A-B, Gerdes, A-M, Pedersen, IS, Moeller, ST, Kruse, TA, Jensen, UB, Vijai, J, Sarrel, K, Robson, M, Kauff, N, Mulligan, AM, Glendon, G, Ozcelik, H, Ejlertsen, B, Nielsen, FC, Jonson, L, Andersen, MK, Ding, YC, Steele, L, Foretova, L, Teule, A, Lazaro, C, Brunet, J, Angel Pujana, M, Mai, PL, Loud, JT, Walsh, C, Lester, J, Orsulic, S, Narod, SA, Herzog, J, Sand, SR, Tognazzo, S, Agata, S, Vaszko, T, Weaver, J, Stavropoulou, AV, Buys, SS, Romero, A, de la Hoya, M, Aittomaki, K, Muranen, TA, Duran, M, Chung, WK, Lasa, A, Dorfling, CM, Miron, A, Benitez, J, Senter, L, Huo, D, Chan, SB, Sokolenko, AP, Chiquette, J, Tihomirova, L, Friebel, TM, Agnarsson, BA, Lu, KH, Lejbkowicz, F, James, PA, Hall, P, Dunning, AM, Tessier, D, Cunningham, J, Slager, SL, Wang, C, Hart, S, Stevens, K, Simard, J, Pastinen, T, Pankratz, VS, Offit, K, Easton, DF, Chenevix-Trench, G, and Antoniou, AC
Abstract: BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4)). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.
Published: 2013

25. Identification of a BRCA2-Specific Modifier Locus at 6p24 Related to Breast Cancer Risk

Author: Gaudet, MM, Kuchenbaecker, KB, Vijai, J, Klein, RJ, Kirchhoff, T, McGuffog, L, Barrowdale, D, Dunning, AM, van der Lee, A, Dennis, J, Healey, S, Dicks, E, Soucy, P, Sinilnikova, O, Pankratz, VS, Wang, XS, Eldridge, RC, Tessier, DC, Vincent, D, Bacot, F, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Peterlongo, P, Schmutzler, RK, Nathanson, KL, Piedmonte, M, Singer, CF, Thomassen, Marga, Hansen, TVO, Neuhausen, SL, Blanco, I, Greene, MH, Garber, J, Weitzel, JN, Andrulis, IL, Goldgar, DE, D'Andrea, E, Caldes, T, Nevanlinna, H, Osorio, A, van Rensburg, EJ, Arason, A, Rennert, G, van den Ouweland, Ans, van der Hout, AH, Kets, CM, Aalfs, CM, Wijnen, JT, Ausems, MGEM, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Jacobs, C, Adlard, J, Tischkowitz, M, Porteous, ME, Damiola, F, Golmard, L, Barjhoux, L, Longy, M, Belotti, M, Ferrer, SF, Mazoyer, S, Spurdle, AB, Manoukian, S, Barile, M, Genuardi, M, Arnold, N, Meindl, A, Sutter, C, Wappenschmidt, B, Domchek, SM, Pfeiler, G, Friedman, E, Jensen, UB, Robson, M, Shah, S, Lazaro, C (Conxi), Mai, PL, Benitez, J, Southey, MC, Schmidt, Marjanka K, Fasching, PA, Peto, J, Humphreys, MK, Wang, Q (Qing), Michailidou, K, Sawyer, EJ, Burwinkel, B, Guenel, P, Bojesen, SE, Milne, RL, Brenner, H, Lochmann, M, Aittomaki, K, Dork, T, Margolin, S, Mannermaa, A, Lambrechts, D, Chang-Claude, J, Radice, P, Giles, GG, Haiman, CA, Winqvist, R, Devillee, P, Garcia-Closas, M, Schoof, N, Hooning, Maartje, Cox, A, Pharoah, PDP, Jakubowska, A, Orr, N, Gonzalez-Neira, A, Pita, G, Alonso, MR, Hall, P, Couch, FJ, Simard, J, Altshuler, D, Easton, DF, Chenevix-Trench, G, Antoniou, AC, Offit, K, Gaudet, MM, Kuchenbaecker, KB, Vijai, J, Klein, RJ, Kirchhoff, T, McGuffog, L, Barrowdale, D, Dunning, AM, van der Lee, A, Dennis, J, Healey, S, Dicks, E, Soucy, P, Sinilnikova, O, Pankratz, VS, Wang, XS, Eldridge, RC, Tessier, DC, Vincent, D, Bacot, F, Hogervorst, FBL, Peock, S, Stoppa-Lyonnet, D, Peterlongo, P, Schmutzler, RK, Nathanson, KL, Piedmonte, M, Singer, CF, Thomassen, Marga, Hansen, TVO, Neuhausen, SL, Blanco, I, Greene, MH, Garber, J, Weitzel, JN, Andrulis, IL, Goldgar, DE, D'Andrea, E, Caldes, T, Nevanlinna, H, Osorio, A, van Rensburg, EJ, Arason, A, Rennert, G, van den Ouweland, Ans, van der Hout, AH, Kets, CM, Aalfs, CM, Wijnen, JT, Ausems, MGEM, Frost, D, Ellis, S, Fineberg, E, Platte, R, Evans, DG, Jacobs, C, Adlard, J, Tischkowitz, M, Porteous, ME, Damiola, F, Golmard, L, Barjhoux, L, Longy, M, Belotti, M, Ferrer, SF, Mazoyer, S, Spurdle, AB, Manoukian, S, Barile, M, Genuardi, M, Arnold, N, Meindl, A, Sutter, C, Wappenschmidt, B, Domchek, SM, Pfeiler, G, Friedman, E, Jensen, UB, Robson, M, Shah, S, Lazaro, C (Conxi), Mai, PL, Benitez, J, Southey, MC, Schmidt, Marjanka K, Fasching, PA, Peto, J, Humphreys, MK, Wang, Q (Qing), Michailidou, K, Sawyer, EJ, Burwinkel, B, Guenel, P, Bojesen, SE, Milne, RL, Brenner, H, Lochmann, M, Aittomaki, K, Dork, T, Margolin, S, Mannermaa, A, Lambrechts, D, Chang-Claude, J, Radice, P, Giles, GG, Haiman, CA, Winqvist, R, Devillee, P, Garcia-Closas, M, Schoof, N, Hooning, Maartje, Cox, A, Pharoah, PDP, Jakubowska, A, Orr, N, Gonzalez-Neira, A, Pita, G, Alonso, MR, Hall, P, Couch, FJ, Simard, J, Altshuler, D, Easton, DF, Chenevix-Trench, G, Antoniou, AC, and Offit, K
Published: 2013

26. Translocation (11;22)(q24;q12) in a small cell tumor of the thigh in a 2-year-old boy: Immunohistology, cytogenetics, molecular genetics, and review of the literature

Author: Mastik, MF, Molenaar, WM, Plaat, Boudewijn, de Graaf, S.S., Hogendoorn, PCW, van der Hout, AH, van den Berg, E, Damage and Repair in Cancer Development and Cancer Treatment (DARE), and Guided Treatment in Optimal Selected Cancer Patients (GUTS)
Subjects: EXPRESSION, CHIMERIC TRANSCRIPTS, pediatric sarcoma, t(11, 22), ANTIGEN, NEUROECTODERMAL TUMORS, Ewing's sarcoma, genetics, FUSION GENE, EWS/FLI1, BONE, EWINGS-SARCOMA
Abstract: A case of a 2-year-old boy with a palpable mass in the left thigh is presented. Incisional biopsy was performed and subsequent histopathological examination revealed an infiltrative tumor composed of relatively large cells. The tumor cells were immunoreactive for vimentin and keratin, but not for desmin or smooth muscle actin. Cytogenetic analysis showed a 46,XY,t(11;22)(q24;q12) karyotype. The translocation (11;22)(q24;q12) is said to be characteristic for the family of Ewing's sarcoma and related tumors. As a result of the t(11;22)(q24;q12) the EWS gene on chromosome 22q12 joins the 3' part of FLI-1 gene on chromosome 11q24, which encodes a member of the ets family of transcriptional regulators. Using reverse transcription polymerase chain reaction (RT-PCR) a corresponding EWS-FLI-1 fusion product was detected. Additional immunohistological staining for p30/p32MIC2, which is suggestive, but not specific for Ewing's sarcoma, appeared to be weakly positive. In the current case a diagnosis of Ewing's sarcoma was considered unlikely, because of the location of the tumor and the immunohistological profile. Nevertheless it was decided to treat the patient according to a Ewing's sarcoma protocol based on the genotype of the tumor. The findings were compared with other extraosseous pediatric small cell tumors showing the t(11;22)(q24;q12) described in the literature.
Published: 1999

27. A method to assess the clinical significance of unclassified variants in the BRCA1 and BRCA2 genes based on cancer family history

Author: Garcia, EBG, Oosterwijk, JC, Timmermans, M, van Asperen, CJ, Hogervorst, FBL, Hoogerbrugge, N, Oldenburg, Rogier, Verhoef, S, Dommering, CJ, Ausems, MGEM, van Os, TAM, van der Hout, AH, Ligtenberg, M, van den Ouweland, Ans, van der Luijt, RB, Wijnen, JT, Gille, JJP, Lindsey, PJ, Devilee, P, Blok, MJ, Vreeswijk, MPG, Garcia, EBG, Oosterwijk, JC, Timmermans, M, van Asperen, CJ, Hogervorst, FBL, Hoogerbrugge, N, Oldenburg, Rogier, Verhoef, S, Dommering, CJ, Ausems, MGEM, van Os, TAM, van der Hout, AH, Ligtenberg, M, van den Ouweland, Ans, van der Luijt, RB, Wijnen, JT, Gille, JJP, Lindsey, PJ, Devilee, P, Blok, MJ, and Vreeswijk, MPG
Abstract: Introduction Unclassified variants (UVs) in the BRCA1/BRCA2 genes are a frequent problem in counseling breast cancer and/or ovarian cancer families. Information about cancer family history is usually available, but has rarely been used to evaluate UVs. The aim of the present study was to identify which is the best combination of clinical parameters that can predict whether a UV is deleterious, to be used for the classification of UVs. Methods We developed logistic regression models with the best combination of clinical features that distinguished a positive control of BRCA pathogenic variants (115 families) from a negative control population of BRCA variants initially classified as UVs and later considered neutral (38 families). Results The models included a combination of BRCAPRO scores, Myriad scores, number of ovarian cancers in the family, the age at diagnosis, and the number of persons with ovarian tumors and/ or breast tumors. The areas under the receiver operating characteristic curves were respectively 0.935 and 0.836 for the BRCA1 and BRCA2 models. For each model, the minimum receiver operating characteristic distance (respectively 90% and 78% specificity for BRCA1 and BRCA2) was chosen as the cutoff value to predict which UVs are deleterious from a study population of 12 UVs, present in 59 Dutch families. The p. S1655F, p. R1699W, and p. R1699Q variants in BRCA1 and the p. Y2660D, p. R2784Q, and p. R3052W variants in BRCA2 are classified as deleterious according to our models. The predictions of the p. L246V variant in BRCA1 and of the p. Y42C, p. E462G, p. R2888C, and p. R3052Q variants in BRCA2 are in agreement with published information of them being neutral. The p. R2784W variant in BRCA2 remains uncertain. Conclusions The present study shows that these developed models are useful to classify UVs in clinical genetic practice.
Published: 2009

28. A simple method for co-segregation analysis to evaluate the pathogenicity of unclassified variants; BRCA1 and BRCA2 as an example

Author: Mohammadi, L, Vreeswijk, MP, Oldenburg, Rogier, van den Ouweland, Ans, Oosterwijk, JC, van der Hout, AH, Hoogerbrugge, N, Ligtenberg, M, Ausems, MG, van der Luijt, RB, Dommering, CJ, Gille, JJ, Verhoef, S, Hogervorst, FB, van Os, TA, Garcia, EG, Blok, MJ, Wijnen, JT, Helmer, Q, Devilee, P, van Asperen, CJ, van Houwelingen, HC, Mohammadi, L, Vreeswijk, MP, Oldenburg, Rogier, van den Ouweland, Ans, Oosterwijk, JC, van der Hout, AH, Hoogerbrugge, N, Ligtenberg, M, Ausems, MG, van der Luijt, RB, Dommering, CJ, Gille, JJ, Verhoef, S, Hogervorst, FB, van Os, TA, Garcia, EG, Blok, MJ, Wijnen, JT, Helmer, Q, Devilee, P, van Asperen, CJ, and van Houwelingen, HC
Abstract: Background: Assessment of the clinical significance of unclassified variants (UVs) identified in BRCA1 and BRCA2 is very important for genetic counselling. The analysis of co-segregation of the variant with the disease in families is a powerful tool for the classification of these variants. Statistical methods have been described in literature but these methods are not always easy to apply in a diagnostic setting. Methods: We have developed an easy to use method which calculates the likelihood ratio (LR) of an UV being deleterious, with penetrance as a function of age of onset, thereby avoiding the use of liability classes. The application of this algorithm is publicly available http://www.msbi.nl/cosegregation. It can easily be used in a diagnostic setting since it requires only information on gender, genotype, present age and/or age of onset for breast and/or ovarian cancer. Results: We have used the algorithm to calculate the likelihood ratio in favour of causality for 3 UVs in BRCA1 (p.M18T, p.S1655F and p.R1699Q) and 5 in BRCA2 (p.E462G p.Y2660D, p.R2784Q, p.R3052W and p.R3052Q). Likelihood ratios varied from 0.097 (BRCA2, p.E462G) to 230.69 (BRCA2, p.Y2660D). Typing distantly related individuals with extreme phenotypes (i.e. very early onset cancer or old healthy individuals) are most informative and give the strongest likelihood ratios for or against causality. Conclusion: Although co-segregation analysis on itself is in most cases insufficient to prove pathogenicity of an UV, this method simplifies the use of co-segregation as one of the key features in a multifactorial approach considerably.
Published: 2009

29. SMN genotypes producing less SMN protein increase susceptibility to and severity of sporadic ALS.

Author: Veldink JH, Kalmijn S, Van der Hout AH, Lemmink HH, Groeneveld GJ, Lummen C, Scheffer H, Wokke JHJ, and Van den Berg LH
Published: 2005
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30. IVF and retinoblastoma revisited.

Author: Dommering CJ, van der Hout AH, Meijers-Heijboer H, Marees T, and Moll AC
Abstract: Objective: To evaluate the suggested association between IVF, retinoblastoma, and tumor methylation characteristics. Design: Laboratory analysis. Setting: National Retinoblastoma Center in the Netherlands. Patient(s): Retinoblastoma tumors from seven children conceived by IVF or intracytoplasmic sperm injection (ICSI). Intervention(s) and Main Outcome Measure(s): DNA from frozen retinoblastoma tumors was tested for mutations in the RB1 gene and for methylation status of the RB1 promoter. Result(s): For all tumors two causative RB1 mutations were found. None of the tumors showed hypermethylation of the RB1 promoter. Conclusion(s): Examination of retinoblastoma tumors of seven children conceived by IVF or ICSI did not show hypermethylation of the RB1 promoter. This demonstrates that an association between IVF or ICSI and retinoblastoma through this epigenetic mechanism is unlikely. [ABSTRACT FROM AUTHOR]
Published: 2012

31. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer

Author: Phelan, CM, Kuchenbaecker, KB, Tyrer, JP, Kar, SP, Lawrenson, K, Winham, SJ, Dennis, J, Pirie, A, Riggan, MJ, Chornokur, G, Earp, MA, Lyra, PC, Lee, JM, Coetzee, S, Beesley, J, McGuffog, L, Soucy, P, Dicks, E, Lee, A, Barrowdale, D, Lecarpentier, J, Leslie, G, Aalfs, CM, Aben, KKH, Adams, M, Adlard, J, Andrulis, IL, Anton-Culver, H, Antonenkova, N, AOCS Study Group, Aravantinos, G, Arnold, N, Arun, BK, Arver, B, Azzollini, J, Balmaña, J, Banerjee, SN, Barjhoux, L, Barkardottir, RB, Bean, Y, Beckmann, MW, Beeghly-Fadiel, A, Benitez, J, Bermisheva, M, Bernardini, MQ, Birrer, MJ, Bjorge, L, Black, A, Blankstein, K, Blok, MJ, Bodelon, C, Bogdanova, N, Bojesen, A, Bonanni, B, Borg, Å, Bradbury, AR, Brenton, JD, Brewer, C, Brinton, L, Broberg, P, Brooks-Wilson, A, Bruinsma, F, Brunet, J, Buecher, B, Butzow, R, Buys, SS, Caldes, T, Caligo, MA, Campbell, I, Cannioto, R, Carney, ME, Cescon, T, Chan, SB, Chang-Claude, J, Chanock, S, Chen, XQ, Chiew, Y-E, Chiquette, J, Chung, WK, Claes, KBM, Conner, T, Cook, LS, Cook, J, Cramer, DW, Cunningham, JM, D'Aloisio, AA, Daly, MB, Damiola, F, Damirovna, SD, Dansonka-Mieszkowska, A, Dao, F, Davidson, R, DeFazio, A, Delnatte, C, Doheny, KF, Diez, O, Ding, YC, Doherty, JA, Domchek, SM, Dorfling, CM, Dörk, T, Dossus, L, Duran, M, Dürst, M, Dworniczak, B, Eccles, D, Edwards, T, Eeles, R, Eilber, U, Ejlertsen, B, Ekici, AB, Ellis, S, Elvira, M, EMBRACE Study, Eng, KH, Engel, C, Evans, DG, Fasching, PA, Ferguson, S, Ferrer, SF, Flanagan, JM, Fogarty, ZC, Fortner, RT, Fostira, F, Foulkes, WD, Fountzilas, G, Fridley, BL, Friebel, TM, Friedman, E, Frost, D, Ganz, PA, Garber, J, García, MJ, Garcia-Barberan, V, Gehrig, A, GEMO Study Collaborators, Gentry-Maharaj, A, Gerdes, A-M, Giles, GG, Glasspool, R, Glendon, G, Godwin, AK, Goldgar, DE, Goranova, T, Gore, M, Greene, MH, Gronwald, J, Gruber, S, Hahnen, E, Haiman, CA, Håkansson, N, Hamann, U, Hansen, TVO, Harrington, PA, Harris, HR, Hauke, J, HEBON Study, Hein, A, Henderson, A, Hildebrandt, MAT, Hillemanns, P, Hodgson, S, Høgdall, CK, Høgdall, E, Hogervorst, FBL, Holland, H, Hooning, MJ, Hosking, K, Huang, R-Y, Hulick, PJ, Hung, J, Hunter, DJ, Huntsman, DG, Huzarski, T, Imyanitov, EN, Isaacs, C, Iversen, ES, Izatt, L, Izquierdo, A, Jakubowska, A, James, P, Janavicius, R, Jernetz, M, Jensen, A, Jensen, UB, John, EM, Johnatty, S, Jones, ME, Kannisto, P, Karlan, BY, Karnezis, A, Kast, K, KConFab Investigators, Kennedy, CJ, Khusnutdinova, E, Kiemeney, LA, Kiiski, JI, Kim, S-W, Kjaer, SK, Köbel, M, Kopperud, RK, Kruse, TA, Kupryjanczyk, J, Kwong, A, Laitman, Y, Lambrechts, D, Larrañaga, N, Larson, MC, Lazaro, C, Le, ND, Le Marchand, L, Lee, JW, Lele, SB, Leminen, A, Leroux, D, Lester, J, Lesueur, F, Levine, DA, Liang, D, Liebrich, C, Lilyquist, J, Lipworth, L, Lissowska, J, Lu, KH, Lubinński, J, Luccarini, C, Lundvall, L, Mai, PL, Mendoza-Fandiño, G, Manoukian, S, Massuger, LFAG, May, T, Mazoyer, S, McAlpine, JN, McGuire, V, McLaughlin, McNeish, I, Meijers-Heijboer, H, Meindl, A, Menon, U, Mensenkamp, AR, Merritt, MA, Milne, RL, Mitchell, G, Modugno, F, Moes-Sosnowska, J, Moffitt, M, Montagna, M, Moysich, KB, Mulligan, AM, Musinsky, J, Nathanson, KL, Nedergaard, L, Ness, RB, Neuhausen, SL, Nevanlinna, H, Niederacher, D, Nussbaum, RL, Odunsi, K, Olah, E, Olopade, OI, Olsson, H, Olswold, C, O'Malley, DM, Ong, K-R, Onland-Moret, NC, OPAL Study Group, Orr, N, Orsulic, S, Osorio, A, Palli, D, Papi, L, Park-Simon, T-W, Paul, J, Pearce, CL, Pedersen, IS, Peeters, PHM, Peissel, B, Peixoto, A, Pejovic, T, Pelttari, LM, Permuth, JB, Peterlongo, P, Pezzani, L, Pfeiler, G, Phillips, K-A, Piedmonte, M, Pike, MC, Piskorz, AM, Poblete, Pocza, T, Poole, EM, Poppe, B, Porteous, ME, Prieur, F, Prokofyeva, D, Pugh, E, Pujana, MA, Pujol, P, Radice, P, Rantala, J, Rappaport-Fuerhauser, C, Rennert, G, Rhiem, K, Rice, P, Richardson, A, Robson, M, Rodriguez, GC, Rodríguez-Antona, C, Romm, J, Rookus, MA, Rossing, MA, Rothstein, JH, Rudolph, A, Runnebaum, IB, Salvesen, HB, Sandler, DP, Schoemaker, MJ, Senter, L, Setiawan, VW, Severi, G, Sharma, P, Shelford, T, Siddiqui, N, Side, LE, Sieh, W, Singer, CF, Sobol, H, Song, H, Southey, MC, Spurdle, AB, Stadler, Z, Steinemann, D, Stoppa-Lyonnet, D, Sucheston-Campbell, LE, Sukiennicki, G, Sutphen, R, Sutter, C, Swerdlow, AJ, Szabo, CI, Szafron, L, Tan, YY, Taylor, JA, Tea, M-K, Teixeira, MR, Teo, S-H, Terry, KL, Thompson, PJ, Thomsen, LCV, Thull, DL, Tihomirova, L, Tinker, AV, Tischkowitz, M, Tognazzo, S, Toland, AE, Tone, A, Trabert, B, Travis, RC, Trichopoulou, A, Tung, N, Tworoger, SS, Van Altena, AM, Van Den Berg, D, Van Der Hout, AH, Van Der Luijt, RB, Van Heetvelde, M, Van Nieuwenhuysen, E, Van Rensburg, EJ, Vanderstichele, A, Varon-Mateeva, R, Vega, A, Edwards, DV, Vergote, I, Vierkant, RA, Vijai, J, Vratimos, A, Walker, L, Walsh, C, Wand, D, Wang-Gohrke, S, Wappenschmidt, B, Webb, PM, Weinberg, CR, Weitzel, JN, Wentzensen, N, Whittemore, AS, Wijnen, JT, Wilkens, LR, Wolk, A, Woo, M, Wu, X, Wu, AH, Yang, H, Yannoukakos, D, Ziogas, A, Zorn, KK, Narod, SA, Easton, DF, Amos, CI, Schildkraut, JM, Ramus, SJ, Ottini, L, Goodman, MT, Park, SK, Kelemen, LE, Risch, HA, Thomassen, M, Offit, K, Simard, J, Schmutzler, RK, Hazelett, D, Monteiro, AN, Couch, FJ, Berchuck, A, Chenevix-Trench, G, Goode, EL, Sellers, TA, Gayther, SA, Antoniou, AC, and Pharoah, PDP
Subjects: ovarian cancer, endocrine system diseases, genome-wide association studies, epidemiology, female genital diseases and pregnancy complications, 3. Good health
Abstract: To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 $\textit{BRCA1}$ and $\textit{BRCA2}$ mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.

32. Severe myocardial fibrosis caused by a deletion of the 5' end of the lamin A/C gene.

Author: van Tintelen JP, Tio RA, Kerstjens-Frederikse WS, van Berlo JH, Boven LG, Suurmeijer AJ, White SJ, den Dunnen JT, te Meerman GJ, Vos YJ, van der Hout AH, Osinga J, van den Berg MP, van Veldhuisen DJ, Buys CH, Hofstra RM, and Pinto YM
Published: 2007
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33. Co-observation of germline pathogenic variants in breast cancer predisposition genes: Results from analysis of the BRIDGES sequencing dataset.

Author: Davidson AL, Michailidou K, Parsons MT, Fortuno C, Bolla MK, Wang Q, Dennis J, Naven M, Abubakar M, Ahearn TU, Alonso MR, Andrulis IL, Antoniou AC, Auvinen P, Behrens S, Bermisheva MA, Bogdanova NV, Bojesen SE, Brüning T, Byers HJ, Camp NJ, Campbell A, Castelao JE, Cessna MH, Chang-Claude J, Chanock SJ, Chenevix-Trench G, Collée JM, Czene K, Dörk T, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Flyger H, Gago-Dominguez M, García-Closas M, Glendon G, González-Neira A, Grassmann F, Gronwald J, Guénel P, Hadjisavvas A, Haeberle L, Hall P, Hamann U, Hartman M, Ho PJ, Hooning MJ, Hoppe R, Howell A, Jakubowska A, Khusnutdinova EK, Kristensen VN, Li J, Lim J, Lindblom A, Liu J, Lophatananon A, Mannermaa A, Mavroudis DA, Mensenkamp AR, Milne RL, Muir KR, Newman WG, Obi N, Panayiotidis MI, Park SK, Park-Simon TW, Peterlongo P, Radice P, Rashid MU, Rhenius V, Saloustros E, Sawyer EJ, Schmidt MK, Seibold P, Shah M, Southey MC, Teo SH, Tomlinson I, Torres D, Truong T, van de Beek I, van der Hout AH, Wendt CC, Dunning AM, Pharoah PDP, Devilee P, Easton DF, James PA, and Spurdle AB
Subjects: Humans, Female, BRCA2 Protein genetics, BRCA1 Protein genetics, Fanconi Anemia Complementation Group N Protein genetics, Middle Aged, Mutation, Missense genetics, Adult, Tumor Suppressor Protein p53 genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Germ-Line Mutation genetics
Abstract: Co-observation of a gene variant with a pathogenic variant in another gene that explains the disease presentation has been designated as evidence against pathogenicity for commonly used variant classification guidelines. Multiple variant curation expert panels have specified, from consensus opinion, that this evidence type is not applicable for the classification of breast cancer predisposition gene variants. Statistical analysis of sequence data for 55,815 individuals diagnosed with breast cancer from the BRIDGES sequencing project was undertaken to formally assess the utility of co-observation data for germline variant classification. Our analysis included expected loss-of-function variants in 11 breast cancer predisposition genes and pathogenic missense variants in BRCA1, BRCA2, and TP53. We assessed whether co-observation of pathogenic variants in two different genes occurred more or less often than expected under the assumption of independence. Co-observation of pathogenic variants in each of BRCA1, BRCA2, and PALB2 with the remaining genes was less frequent than expected. This evidence for depletion remained after adjustment for age at diagnosis, study design (familial versus population-based), and country. Co-observation of a variant of uncertain significance in BRCA1, BRCA2, or PALB2 with a pathogenic variant in another breast cancer gene equated to supporting evidence against pathogenicity following criterion strength assignment based on the likelihood ratio and showed utility in reclassification of missense BRCA1 and BRCA2 variants identified in BRIDGES. Our approach has applicability for assessing the value of co-observation as a predictor of variant pathogenicity in other clinical contexts, including for gene-specific guidelines developed by ClinGen Variant Curation Expert Panels., Competing Interests: Declaration of interests P.A.F. conducts research funded by Amgen, Novartis, and Pfizer. He received Honoraria from Roche, Novartis, and Pfizer. A.R.M. received funds from AstraZeneca for contribution to sponsored quality assessments and variant interpretation of VUSs in BRCA1 and BRCA2. The funds were paid to the institution., (Copyright © 2024 American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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34. Cancer risks for other sites in addition to breast in CHEK2 c.1100delC families.

Author: Schreurs MAC, Schmidt MK, Hollestelle A, Schaapveld M, van Asperen CJ, Ausems MGEM, van de Beek I, Broekema MF, Margriet Collée J, van der Hout AH, van Kaam KJAF, Komdeur FL, Mensenkamp AR, Adank MA, and Hooning MJ
Subjects: Humans, Female, Middle Aged, Adult, Male, Genetic Predisposition to Disease, Aged, Risk Factors, Netherlands epidemiology, Protein Serine-Threonine Kinases genetics, Hematologic Neoplasms genetics, Hematologic Neoplasms epidemiology, Pedigree, Incidence, Adolescent, Young Adult, Checkpoint Kinase 2 genetics, Breast Neoplasms genetics, Breast Neoplasms epidemiology, Colorectal Neoplasms genetics, Colorectal Neoplasms epidemiology
Abstract: Purpose: Female CHEK2 c.1100delC heterozygotes are eligible for additional breast surveillance because of an increased breast cancer risk. Increased risks for other cancers have been reported. We studied whether CHEK2 c.1100delC is associated with an increased risk for other cancers within these families., Methods: Including 10,780 individuals from 609 families, we calculated standardized incidence rates (SIRs) and absolute excess risk (AER, per 10,000 person-years) by comparing first-reported cancer derived from the pedigrees with general Dutch population rates from 1970 onward. Attained-age analyses were performed for sites in which significant increased risks were found. Considering the study design, we primarily focused on cancer risk in women., Results: We found significant increased risks of colorectal cancer (CRC; SIR = 1.43, 95% CI = 1.14-1.76; AER = 1.43) and hematological cancers (SIR = 1.32; 95% CI = 1.02-1.67; AER = 0.87). CRC was significantly more frequent from age 45 onward., Conclusion: A significantly increased risk of CRC, and hematological cancers in women was found, starting at a younger age than expected. Currently, colorectal surveillance starts at age 45 in high-risk individuals. Our results suggest that some CHEK2 c.1100delC families might benefit from this surveillance as well; however, further research is needed to determine who may profit from this additional colorectal surveillance., Competing Interests: Conflict of Interest The authors declare no conflicts of interest., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2024
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35. BRCA1/2 Testing Landscape in Ovarian Cancer: A Nationwide, Real-World Data Study.

Author: Lanjouw L, Bart J, Mourits MJE, Willems SM, van der Hout AH, Ter Elst A, and de Bock GH
Abstract: Analyzing BRCA1/2 tumor pathogenic variants (TPVs) in epithelial tubal/ovarian cancers (EOCs) has become an essential part of the diagnostic workflow in many centers to guide treatment options and genetic cascade testing. However, there is no standardization of testing procedures, including techniques, gene assays, or sequencers used, and data on the execution of tumor tests remains scarce. Therefore, we evaluated characteristics of BRCA1/2 tumor testing in advanced-stage EOC with real-world national data. Pathology reports of patients diagnosed with EOC in 2019 in the Netherlands were obtained from the Dutch Pathology Registry (PALGA), and data regarding histological subtype and BRCA1/2 tumor tests were extracted. A total of 999 patients with advanced-stage EOC were included. Tumor tests were performed for 502 patients (50.2%) and BRCA1/2 TPVs were detected in 14.7%. Of all tests, 48.6% used hybrid capture techniques and 26.5% used PCR-based techniques. More than half of the tests (55.0%) analyzed other genes in addition to BRCA1/2 . Overall, this study highlights the heterogeneity in the execution of BRCA1/2 tumor tests. Despite a lack of evidence of quality differences, we emphasize that adequate reporting and internal and external quality monitors are essential for the high-quality implementation and execution of reliable BRCA1/2 tumor testing, which is crucial for identifying all patients with BRCA1/2 TPVs.
Published: 2024
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36. BRCA1/2 testing rates in epithelial ovarian cancer: a focus on the untested patients.

Author: Lanjouw L, Mourits MJE, Bart J, Ter Elst A, Berger LPV, van der Hout AH, Alam N, and de Bock GH
Subjects: Humans, Female, Aged, Carcinoma, Ovarian Epithelial diagnosis, Carcinoma, Ovarian Epithelial genetics, BRCA2 Protein genetics, Germ-Line Mutation, Genetic Testing, Genetic Predisposition to Disease, BRCA1 Protein genetics, Ovarian Neoplasms diagnosis, Ovarian Neoplasms genetics, Ovarian Neoplasms epidemiology
Abstract: Background: Since 2015, Dutch guidelines have recommended BRCA1/2 pathogenic variant testing for all patients with epithelial ovarian cancer. Recently, recommendations shifted from germline testing to the tumor-first approach, in which tumor tissue is tested first, and subsequent germline testing is performed only in those with BRCA1/2 tumor pathogenic variants or a positive family history. Data on testing rates and on characteristics of patients missing out on testing remain scarce., Objective: To evaluate BRCA1/2 testing rates in patients with epithelial ovarian cancer and compare testing rates of germline testing (performed from 2015 until mid-2018) versus tumor-first testing (implemented mid-2018)., Methods: A consecutive series of 250 patients diagnosed with epithelial ovarian cancer between 2016 and 2019 was included from the OncoLifeS data-biobank of the University Medical Center Groningen, the Netherlands. Testing rates were analyzed for the overall study population and for germline testing (period I) and tumor-first testing (period II) separately. Characteristics of tested and untested patients were compared and predictors for receiving testing were assessed with multivariable logistic regression., Results: Median age was 67.0 years (IQR 59.0-73.0) and 173 (69.2%) patients were diagnosed with high-grade serous carcinoma. Overall, 201 (80.4%) patients were tested. In period I, 137/171 (80.1%) patients were tested and in period II this was 64/79 (81.0%). Patients with non-high-grade serous carcinoma were significantly less likely to receive BRCA1/2 testing than patients with high-grade serous carcinoma (OR=0.23, 95% CI 0.11 to 0.46, p<0.001)., Conclusions: The results show that BRCA1/2 testing rates are suboptimal and suggest that clinicians may not be choosing to test patients with epithelial ovarian cancer with non-high-grade serous ovarian carcinoma, although guidelines recommend BRCA1/2 testing in all patients with epithelial ovarian cancer. Suboptimal testing rates limit optimization of care for patients with epithelial ovarian cancer and counseling of potentially affected relatives., Competing Interests: Competing interests: At the time of conducting this research, NA was an employee of, and held stock in, AstraZeneca LP. GdB and LL were financially supported by a grant from AstraZeneca for the purpose of this research project., (© IGCS and ESGO 2023. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ.)
Published: 2023
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37. Clinical applicability of the Polygenic Risk Score for breast cancer risk prediction in familial cases.

Author: Lakeman IMM, Rodríguez-Girondo MDM, Lee A, Celosse N, Braspenning ME, van Engelen K, van de Beek I, van der Hout AH, Gómez García EB, Mensenkamp AR, Ausems MGEM, Hooning MJ, Adank MA, Hollestelle A, Schmidt MK, van Asperen CJ, and Devilee P
Subjects: Humans, Female, Genetic Predisposition to Disease, Retrospective Studies, Risk Assessment methods, Risk Factors, Breast Neoplasms diagnosis, Breast Neoplasms epidemiology, Breast Neoplasms genetics
Abstract: Background: Common low-risk variants are presently not used to guide clinical management of familial breast cancer (BC). We explored the additive impact of a 313-variant-based Polygenic Risk Score (PRS 313 ) relative to standard gene testing in non- BRCA1/2 Dutch BC families., Methods: We included 3918 BC cases from 3492 Dutch non- BRCA1/2 BC families and 3474 Dutch population controls. The association of the standardised PRS 313 with BC was estimated using a logistic regression model, adjusted for pedigree-based family history. Family history of the controls was imputed for this analysis. SEs were corrected to account for relatedness of individuals. Using the BOADICEA (Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm) V.5 model, lifetime risks were retrospectively calculated with and without individual PRS 313 . For 2586 cases and 2584 controls, the carrier status of pathogenic variants (PVs) in ATM , CHEK2 and PALB2 was known., Results: The family history-adjusted PRS 313 was significantly associated with BC (per SD OR=1.97, 95% CI 1.84 to 2.11). Including the PRS 313 in BOADICEA family-based risk prediction would have changed screening recommendations in up to 27%, 36% and 34% of cases according to BC screening guidelines from the USA, UK and the Netherlands (National Comprehensive Cancer Network, National Institute for Health and Care Excellence, and Netherlands Comprehensive Cancer Organisation), respectively. For the population controls, without information on family history, this was up to 39%, 44% and 58%, respectively. Among carriers of PVs in known moderate BC susceptibility genes, the PRS 313 had the largest impact for CHEK2 and ATM ., Conclusions: Our results support the application of the PRS 313 in risk prediction for genetically uninformative BC families and families with a PV in moderate BC risk genes., Competing Interests: Competing interests: AL is listed as an inventor of BOADICEA V.5, which is commercialised through Cambridge Enterprise, part of Cambridge University., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
Published: 2023
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38. Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients.

Author: Giardiello D, Hooning MJ, Hauptmann M, Keeman R, Heemskerk-Gerritsen BAM, Becher H, Blomqvist C, Bojesen SE, Bolla MK, Camp NJ, Czene K, Devilee P, Eccles DM, Fasching PA, Figueroa JD, Flyger H, García-Closas M, Haiman CA, Hamann U, Hopper JL, Jakubowska A, Leeuwen FE, Lindblom A, Lubiński J, Margolin S, Martinez ME, Nevanlinna H, Nevelsteen I, Pelders S, Pharoah PDP, Siesling S, Southey MC, van der Hout AH, van Hest LP, Chang-Claude J, Hall P, Easton DF, Steyerberg EW, and Schmidt MK
Published: 2022
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39. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients.

Author: Giardiello D, Hooning MJ, Hauptmann M, Keeman R, Heemskerk-Gerritsen BAM, Becher H, Blomqvist C, Bojesen SE, Bolla MK, Camp NJ, Czene K, Devilee P, Eccles DM, Fasching PA, Figueroa JD, Flyger H, García-Closas M, Haiman CA, Hamann U, Hopper JL, Jakubowska A, Leeuwen FE, Lindblom A, Lubiński J, Margolin S, Martinez ME, Nevanlinna H, Nevelsteen I, Pelders S, Pharoah PDP, Siesling S, Southey MC, van der Hout AH, van Hest LP, Chang-Claude J, Hall P, Easton DF, Steyerberg EW, and Schmidt MK
Subjects: Humans, Female, Mastectomy, Germ-Line Mutation, Risk Factors, Breast Neoplasms diagnosis, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Prophylactic Mastectomy
Abstract: Background: Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional risk factors., Methods: We included data from 207,510 invasive breast cancer patients participating in 23 studies. In total, 8225 CBC events occurred over a median follow-up of 10.2 years. In addition to the previously included risk factors, PredictCBC-2.0 included CHEK2 c.1100delC, a 313 variant polygenic risk score (PRS-313), body mass index (BMI), and parity. Fine and Gray regression was used to fit the model. Calibration and a time-dependent area under the curve (AUC) at 5 and 10 years were assessed to determine the performance of the models. Decision curve analysis was performed to evaluate the net benefit of PredictCBC-2.0 and previous PredictCBC models., Results: The discrimination of PredictCBC-2.0 at 10 years was higher than PredictCBC with an AUC of 0.65 (95% prediction intervals (PI) 0.56-0.74) versus 0.63 (95%PI 0.54-0.71). PredictCBC-2.0 was well calibrated with an observed/expected ratio at 10 years of 0.92 (95%PI 0.34-2.54). Decision curve analysis for contralateral preventive mastectomy (CPM) showed the potential clinical utility of PredictCBC-2.0 between thresholds of 4 and 12% 10-year CBC risk for BRCA1/2 mutation carriers and non-carriers., Conclusions: Additional genetic information beyond BRCA1/2 germline mutations improved CBC risk prediction and might help tailor clinical decision-making toward CPM or alternative preventive strategies. Identifying patients who benefit from CPM, especially in the general breast cancer population, remains challenging., (© 2022. The Author(s).)
Published: 2022
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40. Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author: 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, Balmaña 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 YE, 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, Dörk T, du Bois A, Dürst 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, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, 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 BG, 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, Lubiński 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, Santamariña 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 YL, 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, and Pharoah PDP
Published: 2022
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41. Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

Author: 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, Balmaña 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 YE, 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, Dörk T, du Bois A, Dürst 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, Håkansson N, Hamann U, Hansen TVO, Harris HR, Hartman M, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Hopper JL, Huang RY, 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 BG, 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, Lubiński 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, Santamariña 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 YL, 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, and Pharoah PDP
Subjects: Bayes Theorem, Carcinoma, Ovarian Epithelial genetics, Female, Genetic Predisposition to Disease, Humans, Polymorphism, Single Nucleotide, Prospective Studies, Risk Factors, Breast Neoplasms, Ovarian Neoplasms epidemiology, Ovarian Neoplasms genetics
Abstract: Polygenic risk scores (PRS) for epithelial ovarian cancer (EOC) have the potential to improve risk stratification. Joint estimation of Single Nucleotide Polymorphism (SNP) effects in models could improve predictive performance over standard approaches of PRS construction. Here, we implemented computationally efficient, penalized, logistic regression models (lasso, elastic net, stepwise) to individual level genotype data and a Bayesian framework with continuous shrinkage, "select and shrink for summary statistics" (S4), to summary level data for epithelial non-mucinous ovarian cancer risk prediction. We developed the models in a dataset consisting of 23,564 non-mucinous EOC cases and 40,138 controls participating in the Ovarian Cancer Association Consortium (OCAC) and validated the best models in three populations of different ancestries: prospective data from 198,101 women of European ancestries; 7,669 women of East Asian ancestries; 1,072 women of African ancestries, and in 18,915 BRCA1 and 12,337 BRCA2 pathogenic variant carriers of European ancestries. In the external validation data, the model with the strongest association for non-mucinous EOC risk derived from the OCAC model development data was the S4 model (27,240 SNPs) with odds ratios (OR) of 1.38 (95% CI: 1.28-1.48, AUC: 0.588) per unit standard deviation, in women of European ancestries; 1.14 (95% CI: 1.08-1.19, AUC: 0.538) in women of East Asian ancestries; 1.38 (95% CI: 1.21-1.58, AUC: 0.593) in women of African ancestries; hazard ratios of 1.36 (95% CI: 1.29-1.43, AUC: 0.592) in BRCA1 pathogenic variant carriers and 1.49 (95% CI: 1.35-1.64, AUC: 0.624) in BRCA2 pathogenic variant carriers. Incorporation of the S4 PRS in risk prediction models for ovarian cancer may have clinical utility in ovarian cancer prevention programs., (© 2021. The Author(s).)
Published: 2022
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42. De novo ARHGEF9 missense variants associated with neurodevelopmental disorder in females: expanding the genotypic and phenotypic spectrum of ARHGEF9 disease in females.

Author: Scala M, Zonneveld-Huijssoon E, Brienza M, Mecarelli O, van der Hout AH, Zambrelli E, Turner K, Zara F, Peron A, Vignoli A, and Striano P
Subjects: Adult, Child, Preschool, Epilepsy complications, Epilepsy genetics, Female, Genotype, Humans, Intellectual Disability complications, Intellectual Disability diagnosis, Mutation, Missense genetics, Neurodevelopmental Disorders diagnosis, Phenotype, Intellectual Disability genetics, Neurodevelopmental Disorders genetics, Rho Guanine Nucleotide Exchange Factors genetics
Abstract: Individuals harboring pathogenic variants in ARHGEF9, encoding an essential submembrane protein for gamma-aminobutyric acid (GABA)-ergic synapses named collybistin, show intellectual disability (ID), facial dysmorphism, behavioral disorders, and epilepsy. Only few affected females carrying large chromosomal rearrangements involving ARHGEF9 have been reported so far. Through next-generation sequencing (NGS)-based panels, we identified two single nucleotide variants (SNVs) in ARHGEF9 in two females with neurodevelopmental features. Sanger sequencing revealed that these variants were de novo. The X-inactivation pattern in peripheral blood cells was random. We report the first affected females harboring de novo SNVs in ARHGEF9, expanding the genotypic and phenotypic spectrum of ARHGEF9-related neurodevelopmental disorder in females.
Published: 2021
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43. National external quality assessment for next-generation sequencing-based diagnostics of primary immunodeficiencies.

Author: Elsink K, Huibers MMH, Hollink IHIM, van der Veken LT, Ernst RF, Simons A, Zonneveld-Huijssoon E, van der Hout AH, Abbott KM, Hoischen A, Pieterse M, Kuijpers TW, van Montfrans JM, and van Gijn ME
Subjects: Adaptor Proteins, Signal Transducing genetics, Agammaglobulinaemia Tyrosine Kinase genetics, Cytoskeletal Proteins genetics, Genetic Testing methods, High-Throughput Nucleotide Sequencing methods, Humans, Mutation, Netherlands, Primary Immunodeficiency Diseases diagnosis, Genetic Testing standards, High-Throughput Nucleotide Sequencing standards, Primary Immunodeficiency Diseases genetics, Quality Assurance, Health Care
Abstract: Dutch genome diagnostic centers (GDC) use next-generation sequencing (NGS)-based diagnostic applications for the diagnosis of primary immunodeficiencies (PIDs). The interpretation of genetic variants in many PIDs is complicated because of the phenotypic and genetic heterogeneity. To analyze uniformity of variant filtering, interpretation, and reporting in NGS-based diagnostics for PID, an external quality assessment was performed. Four main Dutch GDCs participated in the quality assessment. Unannotated variant call format (VCF) files of two PID patient analyses per laboratory were distributed among the four GDCs, analyzed, and interpreted (eight analyses in total). Variants that would be reported to the clinician and/or advised for further investigation were compared between the centers. A survey measuring the experiences of clinical laboratory geneticists was part of the study. Analysis of samples with confirmed diagnoses showed that all centers reported at least the variants classified as likely pathogenic (LP) or pathogenic (P) variants in all samples, except for variants in two genes (PSTPIP1 and BTK). The absence of clinical information complicated correct classification of variants. In this external quality assessment, the final interpretation and conclusions of the genetic analyses were uniform among the four participating genetic centers. Clinical and immunological data provided by a medical specialist are required to be able to draw proper conclusions from genetic data.
Published: 2021
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44. Families with BAP1-Tumor Predisposition Syndrome in The Netherlands: Path to Identification and a Proposal for Genetic Screening Guidelines.

Author: Chau C, van Doorn R, van Poppelen NM, van der Stoep N, Mensenkamp AR, Sijmons RH, van Paassen BW, van den Ouweland AMW, Naus NC, van der Hout AH, Potjer TP, Bleeker FE, Wevers MR, van Hest LP, Jongmans MCJ, Marinkovic M, Bleeker JC, Jager MJ, Luyten GPM, and Nielsen M
Abstract: Germline pathogenic variants in the BRCA1-associated protein-1 ( BAP1 ) gene cause the BAP1-tumor predisposition syndrome (BAP1-TPDS, OMIM 614327). BAP1-TPDS is associated with an increased risk of developing uveal melanoma (UM), cutaneous melanoma (CM), malignant mesothelioma (MMe), renal cell carcinoma (RCC), meningioma, cholangiocarcinoma, multiple non-melanoma skin cancers, and BAP1 -inactivated nevi. Because of this increased risk, it is important to identify patients with BAP1-TPDS. The associated tumors are treated by different medical disciplines, emphasizing the need for generally applicable guidelines for initiating genetic analysis. In this study, we describe the path to identification of BAP1-TPDS in 21 probands found in the Netherlands and the family history at the time of presentation. We report two cases of de novo BAP1 germline mutations (2/21, 9.5%). Findings of this study combined with previously published literature, led to a proposal of guidelines for genetic referral. We recommend genetic analysis in patients with ≥2 BAP1-TPDS-associated tumors in their medical history and/or family history. We also propose to test germline BAP1 in patients diagnosed with UM <40 years, CM <18 years, MMe <50 years, or RCC <46 years. Furthermore, other candidate susceptibility genes for tumor types associated with BAP1-TPDS are discussed, which can be included in gene panels when testing patients.
Published: 2019
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45. Severe Positional Central Sleep Apnea in an Asymptomatic Adult With a PHOX2B Frameshift Mutation.

Author: Janssen HCJP, Vulto-van Silfhout AT, Jongmans MCJ, van der Hout AH, and Overeem S
Subjects: Adult, Humans, Hypoventilation complications, Hypoventilation genetics, Hypoventilation physiopathology, Male, Polysomnography, Posture, Sleep Apnea, Central genetics, Homeodomain Proteins genetics, Hypoventilation congenital, Mutation genetics, Sleep Apnea, Central complications, Sleep Apnea, Central physiopathology, Transcription Factors genetics
Abstract: Abstract: We report an unusual case of an adult patient carrying a germline PHOX2B frameshift mutation and hence was diagnosed with congenital central hypoventilation syndrome. He came to medical attention after the mutation was identified in his daughter who presented with hypoventilation and a neuroblastoma. Although PHOX2B mutations are usually associated with a phenotype of congenital hypoventilation, severe autonomic dysfunction and neural crest tumors, our patient had no complaints at the time of presentation. At polysomnography we found severe positional hypercapnic central sleep apnea, partly responsive to positional therapy. Eventually, he was titrated to noninvasive ventilation with resolution of the central breathing events and, in hindsight, a more refreshing sleep than before. Clinicians working in sleep medicine need to be aware of the variable expression of this rare condition to prevent late cardiorespiratory and neurocognitive complications., (© 2018 American Academy of Sleep Medicine.)
Published: 2018
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46. Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations.

Author: Rebbeck TR, Friebel TM, Friedman E, Hamann U, Huo D, Kwong A, Olah E, Olopade OI, Solano AR, Teo SH, 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, Aittomäki K, Andrews L, Andrulis IL, Arason A, Arnold N, Arun BK, Asseryanis E, Auerbach L, Azzollini J, Balmaña 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, Collée JM, Cook J, Davidson R, de la Hoya M, De Leeneer K, de Pauw A, Delnatte C, Diez O, Ding YC, Ditsch N, Domchek SM, Dorfling CM, Velazquez C, Dworniczak B, Eason J, Easton DF, Eeles R, Ehrencrona H, Ejlertsen B, Engel C, Engert S, Evans DG, Faivre L, Feliubadaló L, Ferrer SF, Foretova L, Fowler J, Frost D, Galvão HCR, Ganz PA, Garber J, Gauthier-Villars M, Gehrig A, Gerdes AM, 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, Investigators K, Kim SW, Konstantopoulou I, Korach J, Laitman Y, Lasa A, Lasset C, Lázaro 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, Martínez-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, Öfverholm A, Ong KR, 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 AB, Slavin TP, Snape K, Sobol H, Southey M, Steele L, Steinemann D, Sukiennicki G, Sutter C, Szabo CI, Tan YY, Teixeira MR, Terry MB, Teulé 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 SY, Zanzottera C, Zidan J, Zorn KK, Hutten Selkirk CG, Hulick PJ, Chenevix-Trench G, Spurdle AB, Antoniou AC, and Nathanson KL
Subjects: Databases, Genetic, Family, Geography, Humans, BRCA1 Protein genetics, BRCA2 Protein genetics, Internationality, Mutation genetics
Abstract: 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., (© 2018 Wiley Periodicals, Inc.)
Published: 2018
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47. Fever-Induced Paroxysmal Weakness and Encephalopathy (FIPWE)-Part of a Phenotypic Continuum in Patients With ATP1A3 Mutations?

Author: Sival DA, Vansenne F, Van der Hout AH, Tijssen MAJ, and de Koning TJ
Subjects: Humans, Mutation, Phenotype, Sodium-Potassium-Exchanging ATPase genetics, Brain Diseases
Published: 2018
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48. Expanding the ADCY5 phenotype toward spastic paraparesis: A mutation in the M2 domain.

Author: Waalkens AJE, Vansenne F, van der Hout AH, Zutt R, Mourmans J, Tolosa E, de Koning TJ, and Tijssen MAJ
Published: 2018
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49. Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer.

Author: Phelan CM, Kuchenbaecker KB, Tyrer JP, Kar SP, Lawrenson K, Winham SJ, Dennis J, Pirie A, Riggan MJ, Chornokur G, Earp MA, Lyra PC Jr, Lee JM, Coetzee S, Beesley J, McGuffog L, Soucy P, Dicks E, Lee A, Barrowdale D, Lecarpentier J, Leslie G, Aalfs CM, Aben KKH, Adams M, Adlard J, Andrulis IL, Anton-Culver H, Antonenkova N, Aravantinos G, Arnold N, Arun BK, Arver B, Azzollini J, Balmaña J, Banerjee SN, Barjhoux L, Barkardottir RB, Bean Y, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bermisheva M, Bernardini MQ, Birrer MJ, Bjorge L, Black A, Blankstein K, Blok MJ, Bodelon C, Bogdanova N, Bojesen A, Bonanni B, Borg Å, Bradbury AR, Brenton JD, Brewer C, Brinton L, Broberg P, Brooks-Wilson A, Bruinsma F, Brunet J, Buecher B, Butzow R, Buys SS, Caldes T, Caligo MA, Campbell I, Cannioto R, Carney ME, Cescon T, Chan SB, Chang-Claude J, Chanock S, Chen XQ, Chiew YE, Chiquette J, Chung WK, Claes KBM, Conner T, Cook LS, Cook J, Cramer DW, Cunningham JM, D'Aloisio AA, Daly MB, Damiola F, Damirovna SD, Dansonka-Mieszkowska A, Dao F, Davidson R, DeFazio A, Delnatte C, Doheny KF, Diez O, Ding YC, Doherty JA, Domchek SM, Dorfling CM, Dörk T, Dossus L, Duran M, Dürst M, Dworniczak B, Eccles D, Edwards T, Eeles R, Eilber U, Ejlertsen B, Ekici AB, Ellis S, Elvira M, Eng KH, Engel C, Evans DG, Fasching PA, Ferguson S, Ferrer SF, Flanagan JM, Fogarty ZC, Fortner RT, Fostira F, Foulkes WD, Fountzilas G, Fridley BL, Friebel TM, Friedman E, Frost D, Ganz PA, Garber J, García MJ, Garcia-Barberan V, Gehrig A, Gentry-Maharaj A, Gerdes AM, Giles GG, Glasspool R, Glendon G, Godwin AK, Goldgar DE, Goranova T, Gore M, Greene MH, Gronwald J, Gruber S, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hansen TVO, Harrington PA, Harris HR, Hauke J, Hein A, Henderson A, Hildebrandt MAT, Hillemanns P, Hodgson S, Høgdall CK, Høgdall E, Hogervorst FBL, Holland H, Hooning MJ, Hosking K, Huang RY, Hulick PJ, Hung J, Hunter DJ, Huntsman DG, Huzarski T, Imyanitov EN, Isaacs C, Iversen ES, Izatt L, Izquierdo A, Jakubowska A, James P, Janavicius R, Jernetz M, Jensen A, Jensen UB, John EM, Johnatty S, Jones ME, Kannisto P, Karlan BY, Karnezis A, Kast K, Kennedy CJ, Khusnutdinova E, Kiemeney LA, Kiiski JI, Kim SW, Kjaer SK, Köbel M, Kopperud RK, Kruse TA, Kupryjanczyk J, Kwong A, Laitman Y, Lambrechts D, Larrañaga N, Larson MC, Lazaro C, Le ND, Le Marchand L, Lee JW, Lele SB, Leminen A, Leroux D, Lester J, Lesueur F, Levine DA, Liang D, Liebrich C, Lilyquist J, Lipworth L, Lissowska J, Lu KH, Lubinński J, Luccarini C, Lundvall L, Mai PL, Mendoza-Fandiño G, Manoukian S, Massuger LFAG, May T, Mazoyer S, McAlpine JN, McGuire V, McLaughlin JR, McNeish I, Meijers-Heijboer H, Meindl A, Menon U, Mensenkamp AR, Merritt MA, Milne RL, Mitchell G, Modugno F, Moes-Sosnowska J, Moffitt M, Montagna M, Moysich KB, Mulligan AM, Musinsky J, Nathanson KL, Nedergaard L, Ness RB, Neuhausen SL, Nevanlinna H, Niederacher D, Nussbaum RL, Odunsi K, Olah E, Olopade OI, Olsson H, Olswold C, O'Malley DM, Ong KR, Onland-Moret NC, Orr N, Orsulic S, Osorio A, Palli D, Papi L, Park-Simon TW, Paul J, Pearce CL, Pedersen IS, Peeters PHM, Peissel B, Peixoto A, Pejovic T, Pelttari LM, Permuth JB, Peterlongo P, Pezzani L, Pfeiler G, Phillips KA, Piedmonte M, Pike MC, Piskorz AM, Poblete SR, Pocza T, Poole EM, Poppe B, Porteous ME, Prieur F, Prokofyeva D, Pugh E, Pujana MA, Pujol P, Radice P, Rantala J, Rappaport-Fuerhauser C, Rennert G, Rhiem K, Rice P, Richardson A, Robson M, Rodriguez GC, Rodríguez-Antona C, Romm J, Rookus MA, Rossing MA, Rothstein JH, Rudolph A, Runnebaum IB, Salvesen HB, Sandler DP, Schoemaker MJ, Senter L, Setiawan VW, Severi G, Sharma P, Shelford T, Siddiqui N, Side LE, Sieh W, Singer CF, Sobol H, Song H, Southey MC, Spurdle AB, Stadler Z, Steinemann D, Stoppa-Lyonnet D, Sucheston-Campbell LE, Sukiennicki G, Sutphen R, Sutter C, Swerdlow AJ, Szabo CI, Szafron L, Tan YY, Taylor JA, Tea MK, Teixeira MR, Teo SH, Terry KL, Thompson PJ, Thomsen LCV, Thull DL, Tihomirova L, Tinker AV, Tischkowitz M, Tognazzo S, Toland AE, Tone A, Trabert B, Travis RC, Trichopoulou A, Tung N, Tworoger SS, van Altena AM, Van Den Berg D, van der Hout AH, van der Luijt RB, Van Heetvelde M, Van Nieuwenhuysen E, van Rensburg EJ, Vanderstichele A, Varon-Mateeva R, Vega A, Edwards DV, Vergote I, Vierkant RA, Vijai J, Vratimos A, Walker L, Walsh C, Wand D, Wang-Gohrke S, Wappenschmidt B, Webb PM, Weinberg CR, Weitzel JN, Wentzensen N, Whittemore AS, Wijnen JT, Wilkens LR, Wolk A, Woo M, Wu X, Wu AH, Yang H, Yannoukakos D, Ziogas A, Zorn KK, Narod SA, Easton DF, Amos CI, Schildkraut JM, Ramus SJ, Ottini L, Goodman MT, Park SK, Kelemen LE, Risch HA, Thomassen M, Offit K, Simard J, Schmutzler RK, Hazelett D, Monteiro AN, Couch FJ, Berchuck A, Chenevix-Trench G, Goode EL, Sellers TA, Gayther SA, Antoniou AC, and Pharoah PDP
Subjects: Alleles, BRCA1 Protein genetics, BRCA2 Protein genetics, Carcinoma, Ovarian Epithelial, Female, Genome-Wide Association Study, Genotype, Humans, Meta-Analysis as Topic, Mutation, Neoplasms, Glandular and Epithelial pathology, Ovarian Neoplasms pathology, Polymorphism, Single Nucleotide, Risk Factors, Telomere-Binding Proteins genetics, Genetic Loci genetics, Genetic Predisposition to Disease genetics, Neoplasms, Glandular and Epithelial genetics, Ovarian Neoplasms genetics
Abstract: To identify common alleles associated with different histotypes of epithelial ovarian cancer (EOC), we pooled data from multiple genome-wide genotyping projects totaling 25,509 EOC cases and 40,941 controls. We identified nine new susceptibility loci for different EOC histotypes: six for serous EOC histotypes (3q28, 4q32.3, 8q21.11, 10q24.33, 18q11.2 and 22q12.1), two for mucinous EOC (3q22.3 and 9q31.1) and one for endometrioid EOC (5q12.3). We then performed meta-analysis on the results for high-grade serous ovarian cancer with the results from analysis of 31,448 BRCA1 and BRCA2 mutation carriers, including 3,887 mutation carriers with EOC. This identified three additional susceptibility loci at 2q13, 8q24.1 and 12q24.31. Integrated analyses of genes and regulatory biofeatures at each locus predicted candidate susceptibility genes, including OBFC1, a new candidate susceptibility gene for low-grade and borderline serous EOC.
Published: 2017
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50. A post hoc study on gene panel analysis for the diagnosis of dystonia.

Author: van Egmond ME, Lugtenberg CHA, Brouwer OF, Contarino MF, Fung VSC, Heiner-Fokkema MR, van Hilten JJ, van der Hout AH, Peall KJ, Sinke RJ, Roze E, Verschuuren-Bemelmans CC, Willemsen MA, Wolf NI, Tijssen MA, and de Koning TJ
Subjects: Adolescent, Adult, Age of Onset, Child, Cohort Studies, Costs and Cost Analysis, DNA Mutational Analysis economics, Female, Humans, Magnetic Resonance Imaging, Male, Membrane Proteins genetics, Middle Aged, Nerve Tissue Proteins genetics, Outcome Assessment, Health Care, Young Adult, DNA Mutational Analysis methods, Dystonia diagnosis, Dystonia genetics, Mutation genetics
Abstract: Background: Genetic disorders causing dystonia show great heterogeneity. Recent studies have suggested that next-generation sequencing techniques such as gene panel analysis can be effective in diagnosing heterogeneous conditions. The objective of this study was to investigate whether dystonia patients with a suspected genetic cause could benefit from the use of gene panel analysis., Methods: In this post hoc study, we describe gene panel analysis results of 61 dystonia patients (mean age, 31 years; 72% young onset) in our tertiary referral center. The panel covered 94 dystonia-associated genes. As comparison with a historic cohort was not possible because of the rapidly growing list of dystonia genes, we compared the diagnostic workup with and without gene panel analysis in the same patients. The workup without gene panel analysis (control group) included theoretical diagnostic strategies formulated by independent experts in the field, based on detailed case descriptions. The primary outcome measure was diagnostic yield; secondary measures were cost and duration of diagnostic workup., Results: Workup with gene panel analysis led to a confirmed molecular diagnosis in 14.8%, versus 7.4% in the control group (P = 0.096). In the control group, on average 3 genes/case were requested. The mean costs were lower in the gene panel analysis group (€1822/case) than in the controls (€2660/case). The duration of the workup was considerably shorter with gene panel analysis (28 vs 102 days)., Conclusions: Gene panel analysis facilitates molecular diagnosis in complex cases of dystonia, with a good diagnostic yield (14.8%), a quicker diagnostic workup, and lower costs, representing a major improvement for patients and their families. © 2016 International Parkinson and Movement Disorder Society., (© 2017 International Parkinson and Movement Disorder Society.)
Published: 2017
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