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1. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author: Giles G.G., Bonanni B., Pinchev M., Plaseska-Karanfilska D., Polley E.C., Prentice R., Presneau N., Prokofyeva D., Purrington K., Pylkas K., Rack B., Radice P., Rau-Murthy R., Rennert G., Rennert H.S., Rhenius V., Robson M., Romero A., Ruddy K.J., Ruebner M., Saloustros E., Sandler D.P., Sawyer E.J., Schmidt D.F., Schmutzler R.K., Schneeweiss A., Schoemaker M.J., Schumacher F., Schurmann P., Schwentner L., Scott C., Scott R.J., Seynaeve C., Shah M., Sherman M.E., Shrubsole M.J., Shu X.-O., Slager S., Smeets A., Sohn C., Soucy P., Southey M.C., Spinelli J.J., Stegmaier C., Stone J., Swerdlow A.J., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Thone K., Tollenaar R.A.E.M., Tomlinson I., Truong T., Tzardi M., Ulmer H.-U., Untch M., Vachon C.M., van Veen E.M., Vijai J., Weinberg C.R., Wendt C., Whittemore A.S., Wildiers H., Willett W., Winqvist R., Wolk A., Yang X.R., Yannoukakos D., Zhang Y., Zheng W., Ziogas A., Dunning A.M., Thompson D.J., Chenevix-Trench G., Chang-Claude J., Schmidt M.K., Hall P., Milne R.L., Pharoah P.D.P., Antoniou A.C., Chatterjee N., Kraft P., Garcia-Closas M., Simard J., Easton D.F., Allen J., Mavaddat N., Michailidou K., Dennis J., Lush M., Fachal L., Lee A., Tyrer J.P., Chen T.-H., Wang Q., Bolla M.K., Yang X., Adank M.A., Ahearn T., Aittomaki K., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Aronson K.J., Auer P.L., Auvinen P., Barrdahl M., Beane Freeman L.E., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Bogdanova N.V., Bojesen S.E., Borresen-Dale A.-L., Brauch H., Bremer M., Brenner H., Brentnall A., Brock I.W., Brooks-Wilson A., Brucker S.Y., Bruning T., Burwinkel B., Campa D., Carter B.D., Castelao J.E., Chanock S.J., Chlebowski R., Christiansen H., Clarke C.L., Collee J.M., Cordina-Duverger E., Cornelissen S., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dork T., dos-Santos-Silva I., Dumont M., Durcan L., Dwek M., Eccles D.M., Ekici A.B., Eliassen A.H., Ellberg C., Engel C., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Fletcher O., Flyger H., Forsti A., Fritschi L., Gabrielson M., Gago-Dominguez M., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., Georgoulias V., Gilyazova I.R., Glendon G., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Grenaker Alnaes G.I., Grip M., Gronwald J., Grundy A., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hamann U., Hankinson S.E., Harkness E.F., Hart S.N., He W., Hein A., Heyworth J., Hillemanns P., Hollestelle A., Hooning M.J., Hoover R.N., Hopper J.L., Howell A., Huang G., Humphreys K., Hunter D.J., Jakimovska M., Jakubowska A., Janni W., John E.M., Johnson N., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kaczmarek K., Kataja V., Keeman R., Kerin M.J., Khusnutdinova E., Kiiski J.I., Knight J.A., Ko Y.-D., Kosma V.-M., Koutros S., Kristensen V.N., Kruger U., Kuhl T., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Lilyquist J., Lindblom A., Lindstrom S., Lissowska J., Lo W.-Y., Loibl S., Long J., Lubinski J., Lux M.P., MacInnis R.J., Maishman T., Makalic E., Maleva Kostovska I., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Martinez M.E., Mavroudis D., McLean C., Meindl A., Menon U., Middha P., Miller N., Moreno F., Mulligan A.M., Mulot C., Munoz-Garzon V.M., Neuhausen S.L., Nevanlinna H., Neven P., Newman W.G., Nielsen S.F., Nordestgaard B.G., Norman A., Offit K., Olson J.E., Olsson H., Orr N., Pankratz V.S., Park-Simon T.-W., Perez J.I.A., Perez-Barrios C., Peterlongo P., Peto J., Giles G.G., Bonanni B., Pinchev M., Plaseska-Karanfilska D., Polley E.C., Prentice R., Presneau N., Prokofyeva D., Purrington K., Pylkas K., Rack B., Radice P., Rau-Murthy R., Rennert G., Rennert H.S., Rhenius V., Robson M., Romero A., Ruddy K.J., Ruebner M., Saloustros E., Sandler D.P., Sawyer E.J., Schmidt D.F., Schmutzler R.K., Schneeweiss A., Schoemaker M.J., Schumacher F., Schurmann P., Schwentner L., Scott C., Scott R.J., Seynaeve C., Shah M., Sherman M.E., Shrubsole M.J., Shu X.-O., Slager S., Smeets A., Sohn C., Soucy P., Southey M.C., Spinelli J.J., Stegmaier C., Stone J., Swerdlow A.J., Tamimi R.M., Tapper W.J., Taylor J.A., Terry M.B., Thone K., Tollenaar R.A.E.M., Tomlinson I., Truong T., Tzardi M., Ulmer H.-U., Untch M., Vachon C.M., van Veen E.M., Vijai J., Weinberg C.R., Wendt C., Whittemore A.S., Wildiers H., Willett W., Winqvist R., Wolk A., Yang X.R., Yannoukakos D., Zhang Y., Zheng W., Ziogas A., Dunning A.M., Thompson D.J., Chenevix-Trench G., Chang-Claude J., Schmidt M.K., Hall P., Milne R.L., Pharoah P.D.P., Antoniou A.C., Chatterjee N., Kraft P., Garcia-Closas M., Simard J., Easton D.F., Allen J., Mavaddat N., Michailidou K., Dennis J., Lush M., Fachal L., Lee A., Tyrer J.P., Chen T.-H., Wang Q., Bolla M.K., Yang X., Adank M.A., Ahearn T., Aittomaki K., Andrulis I.L., Anton-Culver H., Antonenkova N.N., Arndt V., Aronson K.J., Auer P.L., Auvinen P., Barrdahl M., Beane Freeman L.E., Beckmann M.W., Behrens S., Benitez J., Bermisheva M., Bernstein L., Blomqvist C., Bogdanova N.V., Bojesen S.E., Borresen-Dale A.-L., Brauch H., Bremer M., Brenner H., Brentnall A., Brock I.W., Brooks-Wilson A., Brucker S.Y., Bruning T., Burwinkel B., Campa D., Carter B.D., Castelao J.E., Chanock S.J., Chlebowski R., Christiansen H., Clarke C.L., Collee J.M., Cordina-Duverger E., Cornelissen S., Couch F.J., Cox A., Cross S.S., Czene K., Daly M.B., Devilee P., Dork T., dos-Santos-Silva I., Dumont M., Durcan L., Dwek M., Eccles D.M., Ekici A.B., Eliassen A.H., Ellberg C., Engel C., Eriksson M., Evans D.G., Fasching P.A., Figueroa J., Fletcher O., Flyger H., Forsti A., Fritschi L., Gabrielson M., Gago-Dominguez M., Gapstur S.M., Garcia-Saenz J.A., Gaudet M.M., Georgoulias V., Gilyazova I.R., Glendon G., Goldberg M.S., Goldgar D.E., Gonzalez-Neira A., Grenaker Alnaes G.I., Grip M., Gronwald J., Grundy A., Guenel P., Haeberle L., Hahnen E., Haiman C.A., Hakansson N., Hamann U., Hankinson S.E., Harkness E.F., Hart S.N., He W., Hein A., Heyworth J., Hillemanns P., Hollestelle A., Hooning M.J., Hoover R.N., Hopper J.L., Howell A., Huang G., Humphreys K., Hunter D.J., Jakimovska M., Jakubowska A., Janni W., John E.M., Johnson N., Jones M.E., Jukkola-Vuorinen A., Jung A., Kaaks R., Kaczmarek K., Kataja V., Keeman R., Kerin M.J., Khusnutdinova E., Kiiski J.I., Knight J.A., Ko Y.-D., Kosma V.-M., Koutros S., Kristensen V.N., Kruger U., Kuhl T., Lambrechts D., Le Marchand L., Lee E., Lejbkowicz F., Lilyquist J., Lindblom A., Lindstrom S., Lissowska J., Lo W.-Y., Loibl S., Long J., Lubinski J., Lux M.P., MacInnis R.J., Maishman T., Makalic E., Maleva Kostovska I., Mannermaa A., Manoukian S., Margolin S., Martens J.W.M., Martinez M.E., Mavroudis D., McLean C., Meindl A., Menon U., Middha P., Miller N., Moreno F., Mulligan A.M., Mulot C., Munoz-Garzon V.M., Neuhausen S.L., Nevanlinna H., Neven P., Newman W.G., Nielsen S.F., Nordestgaard B.G., Norman A., Offit K., Olson J.E., Olsson H., Orr N., Pankratz V.S., Park-Simon T.-W., Perez J.I.A., Perez-Barrios C., Peterlongo P., and Peto J.
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.Copyright © 2018 The Authors
Published: 2019

2. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Author: Mavaddat, N, Michailidou, K, Dennis, J, Lush, M, Fachal, L, Lee, A, Tyrer, JP, Chen, T-H, Wang, Q, Bolla, MK, Yang, X, Adank, MA, Ahearn, T, Aittomaki, K, Allen, J, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Auer, PL, Auvinen, P, Barrdahl, M, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Bremer, M, Brenner, H, Brentnall, A, Brock, IW, Brooks-Wilson, A, Brucker, SY, Bruening, T, Burwinkel, B, Campa, D, Carter, BD, Castelao, JE, Chanock, SJ, Chlebowski, R, Christiansen, H, Clarke, CL, Collee, JM, Cordina-Duverger, E, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, dos-Santos-Silva, I, Dumont, M, Durcan, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Foersti, A, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Georgoulias, V, Giles, GG, Gilyazova, IR, Glendon, G, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Gronwald, J, Grundy, A, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hankinson, SE, Harkness, EF, Hart, SN, He, W, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Jakimovska, M, Jakubowska, A, Janni, W, John, EM, Johnson, N, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kaczmarek, K, Kataja, V, Keeman, R, Kerin, MJ, Khusnutdinova, E, Kiiski, J, Knight, JA, Ko, Y-D, Kosma, V-M, Koutros, S, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Lilyquist, J, Lindblom, A, Lindstrom, S, Lissowska, J, Lo, W-Y, Loibl, S, Long, J, Lubinski, J, Lux, MP, MacInnis, RJ, Maishman, T, Makalic, E, Kostovska, IM, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Menon, U, Middha, P, Miller, N, Moreno, F, Mulligan, AM, Mulot, C, Munoz-Garzon, VM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, Offit, K, Olson, JE, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Peto, J, Pinchev, M, Plaseska-Karanfilska, D, Polley, EC, Prentice, R, Presneau, N, Prokofyeva, D, Purrington, K, Pylkas, K, Rack, B, Radice, P, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Robson, M, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schuermann, P, Schwentner, L, Scott, C, Scott, RJ, Seynaeve, C, Shah, M, Sherman, ME, Shrubsole, MJ, Shu, X-O, Slager, S, Smeets, A, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Stegmaier, C, Stone, J, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Truong, T, Tzardi, M, Ulmer, H-U, Untch, M, Vachon, CM, van Veen, EM, Vijai, J, Weinberg, CR, Wendt, C, Whittemore, AS, Wildiers, H, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zhang, Y, Zheng, W, Ziogas, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Sexton, A, Dobrovic, A, Christian, A, Trainer, A, Fellows, A, Shelling, A, De Fazio, A, Blackburn, A, Crook, A, Meiser, B, Patterson, B, Saunders, C, Hunt, C, Amor, D, Ortega, DG, Edkins, E, Salisbury, E, Haan, E, Macrea, F, Farshid, G, Lindeman, G, Trench, G, Mann, G, Giles, G, Gill, G, Thorne, H, Campbell, I, Hickie, I, Caldon, L, Winship, I, Cui, J, Flanagan, J, Kollias, J, Visvader, J, Taylor, J, Burke, J, Saunus, J, Forbs, J, Hopper, J, Beesley, J, Kirk, J, French, J, Tucker, K, Wu, K, Phillips, K, Forrest, L, Lipton, L, Andrews, L, Lobb, L, Walker, L, Kentwell, M, Spurdle, M, Cummings, M, Gleeson, M, Harris, M, Jenkins, M, Young, MA, Delatycki, M, Wallis, M, Burgess, M, Brown, M, Southey, M, Bogwitz, M, Field, M, Friedlander, M, Gattas, M, Saleh, M, Aghmesheh, M, Hayward, N, Pachter, N, Cohen, P, Duijf, P, James, P, Fong, P, Butow, P, Williams, R, Kefford, R, Simard, J, Balleine, R-M, Dawson, S-J, Lok, S, O'connell, S, Greening, S, Nightingale, S, Edwards, S, Fox, S, McLachlan, S-A, Lakhani, S, Dudding, T, Antill, Y, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dunning, AM, Thompson, DJ, Chenevix-Trench, G, Chang-Claude, J, Schmidt, MK, Hall, P, Milne, RL, Pharoah, PDP, Antoniou, AC, Chatterjee, N, Kraft, P, Garcia-Closas, M, Easton, DF, Mavaddat, N, Michailidou, K, Dennis, J, Lush, M, Fachal, L, Lee, A, Tyrer, JP, Chen, T-H, Wang, Q, Bolla, MK, Yang, X, Adank, MA, Ahearn, T, Aittomaki, K, Allen, J, Andrulis, IL, Anton-Culver, H, Antonenkova, NN, Arndt, V, Aronson, KJ, Auer, PL, Auvinen, P, Barrdahl, M, Freeman, LEB, Beckmann, MW, Behrens, S, Benitez, J, Bermisheva, M, Bernstein, L, Blomqvist, C, Bogdanova, N, Bojesen, SE, Bonanni, B, Borresen-Dale, A-L, Brauch, H, Bremer, M, Brenner, H, Brentnall, A, Brock, IW, Brooks-Wilson, A, Brucker, SY, Bruening, T, Burwinkel, B, Campa, D, Carter, BD, Castelao, JE, Chanock, SJ, Chlebowski, R, Christiansen, H, Clarke, CL, Collee, JM, Cordina-Duverger, E, Cornelissen, S, Couch, FJ, Cox, A, Cross, SS, Czene, K, Daly, MB, Devilee, P, Doerk, T, dos-Santos-Silva, I, Dumont, M, Durcan, L, Dwek, M, Eccles, DM, Ekici, AB, Eliassen, AH, Ellberg, C, Engel, C, Eriksson, M, Evans, DG, Fasching, PA, Figueroa, J, Fletcher, O, Flyger, H, Foersti, A, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Gapstur, SM, Garcia-Saenz, JA, Gaudet, MM, Georgoulias, V, Giles, GG, Gilyazova, IR, Glendon, G, Goldberg, MS, Goldgar, DE, Gonzalez-Neira, A, Alnaes, GIG, Grip, M, Gronwald, J, Grundy, A, Guenel, P, Haeberle, L, Hahnen, E, Haiman, CA, Hakansson, N, Hamann, U, Hankinson, SE, Harkness, EF, Hart, SN, He, W, Hein, A, Heyworth, J, Hillemanns, P, Hollestelle, A, Hooning, MJ, Hoover, RN, Hopper, JL, Howell, A, Huang, G, Humphreys, K, Hunter, DJ, Jakimovska, M, Jakubowska, A, Janni, W, John, EM, Johnson, N, Jones, ME, Jukkola-Vuorinen, A, Jung, A, Kaaks, R, Kaczmarek, K, Kataja, V, Keeman, R, Kerin, MJ, Khusnutdinova, E, Kiiski, J, Knight, JA, Ko, Y-D, Kosma, V-M, Koutros, S, Kristensen, VN, Kruger, U, Kuehl, T, Lambrechts, D, Le Marchand, L, Lee, E, Lejbkowicz, F, Lilyquist, J, Lindblom, A, Lindstrom, S, Lissowska, J, Lo, W-Y, Loibl, S, Long, J, Lubinski, J, Lux, MP, MacInnis, RJ, Maishman, T, Makalic, E, Kostovska, IM, Mannermaa, A, Manoukian, S, Margolin, S, Martens, JWM, Martinez, ME, Mavroudis, D, McLean, C, Meindl, A, Menon, U, Middha, P, Miller, N, Moreno, F, Mulligan, AM, Mulot, C, Munoz-Garzon, VM, Neuhausen, SL, Nevanlinna, H, Neven, P, Newman, WG, Nielsen, SF, Nordestgaard, BG, Norman, A, Offit, K, Olson, JE, Olsson, H, Orr, N, Pankratz, VS, Park-Simon, T-W, Perez, JIA, Perez-Barrios, C, Peterlongo, P, Peto, J, Pinchev, M, Plaseska-Karanfilska, D, Polley, EC, Prentice, R, Presneau, N, Prokofyeva, D, Purrington, K, Pylkas, K, Rack, B, Radice, P, Rau-Murthy, R, Rennert, G, Rennert, HS, Rhenius, V, Robson, M, Romero, A, Ruddy, KJ, Ruebner, M, Saloustros, E, Sandler, DP, Sawyer, EJ, Schmidt, DF, Schmutzler, RK, Schneeweiss, A, Schoemaker, MJ, Schumacher, F, Schuermann, P, Schwentner, L, Scott, C, Scott, RJ, Seynaeve, C, Shah, M, Sherman, ME, Shrubsole, MJ, Shu, X-O, Slager, S, Smeets, A, Sohn, C, Soucy, P, Southey, MC, Spinelli, JJ, Stegmaier, C, Stone, J, Swerdlow, AJ, Tamimi, RM, Tapper, WJ, Taylor, JA, Terry, MB, Thoene, K, Tollenaar, RAEM, Tomlinson, I, Truong, T, Tzardi, M, Ulmer, H-U, Untch, M, Vachon, CM, van Veen, EM, Vijai, J, Weinberg, CR, Wendt, C, Whittemore, AS, Wildiers, H, Willett, W, Winqvist, R, Wolk, A, Yang, XR, Yannoukakos, D, Zhang, Y, Zheng, W, Ziogas, A, Clarke, C, Balleine, R, Baxter, R, Braye, S, Carpenter, J, Dahlstrom, J, Forbes, J, Lee, CS, Marsh, D, Morey, A, Pathmanathan, N, Scott, R, Simpson, P, Spigelman, A, Wilcken, N, Yip, D, Zeps, N, Sexton, A, Dobrovic, A, Christian, A, Trainer, A, Fellows, A, Shelling, A, De Fazio, A, Blackburn, A, Crook, A, Meiser, B, Patterson, B, Saunders, C, Hunt, C, Amor, D, Ortega, DG, Edkins, E, Salisbury, E, Haan, E, Macrea, F, Farshid, G, Lindeman, G, Trench, G, Mann, G, Giles, G, Gill, G, Thorne, H, Campbell, I, Hickie, I, Caldon, L, Winship, I, Cui, J, Flanagan, J, Kollias, J, Visvader, J, Taylor, J, Burke, J, Saunus, J, Forbs, J, Hopper, J, Beesley, J, Kirk, J, French, J, Tucker, K, Wu, K, Phillips, K, Forrest, L, Lipton, L, Andrews, L, Lobb, L, Walker, L, Kentwell, M, Spurdle, M, Cummings, M, Gleeson, M, Harris, M, Jenkins, M, Young, MA, Delatycki, M, Wallis, M, Burgess, M, Brown, M, Southey, M, Bogwitz, M, Field, M, Friedlander, M, Gattas, M, Saleh, M, Aghmesheh, M, Hayward, N, Pachter, N, Cohen, P, Duijf, P, James, P, Fong, P, Butow, P, Williams, R, Kefford, R, Simard, J, Balleine, R-M, Dawson, S-J, Lok, S, O'connell, S, Greening, S, Nightingale, S, Edwards, S, Fox, S, McLachlan, S-A, Lakhani, S, Dudding, T, Antill, Y, Sahlberg, KK, Ottestad, L, Karesen, R, Schlichting, E, Holmen, MM, Sauer, T, Haakensen, V, Engebraten, O, Naume, B, Fossa, A, Kiserud, CE, Reinertsen, K, Helland, A, Riis, M, Geisler, J, Dunning, AM, Thompson, DJ, Chenevix-Trench, G, Chang-Claude, J, Schmidt, MK, Hall, P, Milne, RL, Pharoah, PDP, Antoniou, AC, Chatterjee, N, Kraft, P, Garcia-Closas, M, and Easton, DF
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Published: 2019

3. Polygenic risk scores for prediction of breast cancer and breast cancer subtypes

Author: Mavaddat, N. (Nasim), Michailidou, K. (Kyriaki), Dennis, J. (Joe), Lush, M. (Michael), Fachal, L. (Laura), Lee, A. (Andrew), Tyrer, J. P. (Jonathan P.), Chen, T.-H. (Ting-Huei), Wang, Q. (Qin), Bolla, M. K. (Manjeet K.), Yang, X. (Xin), Adank, M. A. (Muriel A.), Ahearn, T. (Thomas), Aittomaki, K. (Kristiina), Allen, J. (Jamie), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Antonenkova, N. N. (Natalia N.), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Auvinen, P. (Paivi), Barrdahl, M. (Myrto), Freeman, L. E. (Laura E. Beane), Beckmann, M. W. (Matthias W.), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia, V), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Bremer, M. (Michael), Brenner, H. (Hermann), Brentnall, A. (Adam), Brock, I. W. (Ian W.), Brooks-Wilson, A. (Angela), Brucker, S. Y. (Sara Y.), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Campa, D. (Daniele), Carter, B. D. (Brian D.), Castelao, J. E. (Jose E.), Chanock, S. J. (Stephen J.), Chlebowski, R. (Rowan), Christiansen, H. (Hans), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cordina-Duverger, E. (Emilie), Cornelissen, S. (Sten), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Doerk, T. (Thilo), dos-Santos-Silva, I. (Isabel), Dumont, M. (Martine), Durcan, L. (Lorraine), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Ekici, A. B. (Arif B.), Eliassen, A. H. (A. Heather), Ellberg, C. (Carolina), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Fletcher, O. (Olivia), Flyger, H. (Henrik), Foersti, A. (Asta), Fritschi, L. (Lin), Gabrielson, M. (Marike), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Georgoulias, V. (Vassilios), Giles, G. G. (Graham G.), Gilyazova, I. R. (Irina R.), Glendon, G. (Gord), Goldberg, M. S. (Mark S.), Goldgar, D. E. (David E.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Gronwald, J. (Jacek), Grundy, A. (Anne), Guenel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hakansson, N. (Niclas), Hamann, U. (Ute), Hankinson, S. E. (Susan E.), Harkness, E. F. (Elaine F.), Hart, S. N. (Steven N.), He, W. (Wei), Hein, A. (Alexander), Heyworth, J. (Jane), Hillemanns, P. (Peter), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Huang, G. (Guanmengqian), Humphreys, K. (Keith), Hunter, D. J. (David J.), Jakimovska, M. (Milena), Jakubowska, A. (Anna), Janni, W. (Wolfgang), John, E. M. (Esther M.), Johnson, N. (Nichola), Jones, M. E. (Michael E.), Jukkola-Vuorinen, A. (Arja), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kaczmarek, K. (Katarzyna), Kataja, V. (Vesa), Keeman, R. (Renske), Kerin, M. J. (Michael J.), Khusnutdinova, E. (Elza), Kiiski, J. I. (Johanna, I), Knight, J. A. (Julia A.), Ko, Y.-D. (Yon-Dschun), Kosma, V.-M. (Veli-Matti), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kuehl, T. (Tabea), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lilyquist, J. (Jenna), Lindblom, A. (Annika), Lindstrom, S. (Sara), Lissowska, J. (Jolanta), Lo, W.-Y. (Wing-Yee), Loibl, S. (Sibylle), Long, J. (Jirong), Lubinski, J. (Jan), Lux, M. P. (Michael P.), MacInnis, R. J. (Robert J.), Maishman, T. (Tom), Makalic, E. (Enes), Kostovska, I. M. (Ivana Maleva), Mannermaa, A. (Arto), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martens, J. W. (John W. M.), Martinez, M. E. (Maria Elena), Mavroudis, D. (Dimitrios), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Middha, P. (Pooja), Miller, N. (Nicola), Moreno, F. (Fernando), Mulligan, A. M. (Anna Marie), Mulot, C. (Claire), Munoz-Garzon, V. M. (Victor M.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Neven, P. (Patrick), Newman, W. G. (William G.), Nielsen, S. F. (Sune F.), Nordestgaard, B. G. (Borge G.), Norman, A. (Aaron), Offit, K. (Kenneth), Olson, J. E. (Janet E.), Olsson, H. (Hakan), Orr, N. (Nick), Pankratz, V. S. (V. Shane), Park-Simon, T.-W. (Tjoung-Won), Perez, J. I. (Jose I. A.), Perez-Barrios, C. (Clara), Peterlongo, P. (Paolo), Peto, J. (Julian), Pinchev, M. (Mila), Plaseska-Karanfilska, D. (Dijana), Polley, E. C. (Eric C.), Prentice, R. (Ross), Presneau, N. (Nadege), Prokofyeva, D. (Darya), Purrington, K. (Kristen), Pylkäs, K. (Katri), Rack, B. (Brigitte), Radice, P. (Paolo), Rau-Murthy, R. (Rohini), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), Rhenius, V. (Valerie), Robson, M. (Mark), Romero, A. (Atocha), Ruddy, K. J. (Kathryn J.), Ruebner, M. (Matthias), Saloustros, E. (Emmanouil), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmidt, D. F. (Daniel F.), Schmutzler, R. K. (Rita K.), Schneeweiss, A. (Andreas), Schoemaker, M. J. (Minouk J.), Schumacher, F. (Fredrick), Schuermann, P. (Peter), Schwentner, L. (Lukas), Scott, C. (Christopher), Scott, R. J. (Rodney J.), Seynaeve, C. (Caroline), Shah, M. (Mitul), Sherman, M. E. (Mark E.), Shrubsole, M. J. (Martha J.), Shu, X.-O. (Xiao-Ou), Slager, S. (Susan), Smeets, A. (Ann), Sohn, C. (Christof), Soucy, P. (Penny), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Stegmaier, C. (Christa), Stone, J. (Jennifer), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Terry, M. B. (Mary Beth), Thoene, K. (Kathrin), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Truong, T. (Therese), Tzardi, M. (Maria), Ulmer, H.-U. (Hans-Ulrich), Untch, M. (Michael), Vachon, C. M. (Celine M.), van Veen, E. M. (Elke M.), Vijai, J. (Joseph), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Whittemore, A. S. (Alice S.), Wildiers, H. (Hans), Willett, W. (Walter), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Yannoukakos, D. (Drakoulis), Zhang, Y. (Yan), Zheng, W. (Wei), Ziogas, A. (Argyrios), Clarke, C. (Christine), Balleine, R. (Rosemary), Baxter, R. (Robert), Braye, S. (Stephen), Carpenter, J. (Jane), Dahlstrom, J. (Jane), Forbes, J. (John), Lee, C. S. (C. Soon), Marsh, D. (Deborah), Morey, A. (Adrienne), Pathmanathan, N. (Nirmala), Scott, R. (Rodney), Simpson, P. (Peter), Spigelman, A. (Allan), Wilcken, N. (Nicholas), Yip, D. (Desmond), Zeps, N. (Nikolajs), Sexton, A. (Adrienne), Dobrovic, A. (Alex), Christian, A. (Alice), Trainer, A. (Alison), Fellows, A. (Andrew), Shelling, A. (Andrew), De Fazio, A. (Anna), Blackburn, A. (Anneke), Crook, A. (Ashley), Meiser, B. (Bettina), Patterson, B. (Briony), Clarke, C. (Christobel), Saunders, C. (Christobel), Hunt, C. (Clare), Scott, C. (Clare), Amor, D. (David), Ortega, D. G. (David Gallego), Marsh, D. (Deb), Edkins, E. (Edward), Salisbury, E. (Elizabeth), Haan, E. (Eric), Macrea, F. (Finlay), Farshid, G. (Gelareh), Lindeman, G. (Geoff), Trench, G. (Georgia), Mann, G. (Graham), Giles, G. (Graham), Gill, G. (Grantley), Thorne, H. (Heather), Campbell, I. (Ian), Hickie, I. (Ian), Caldon, L. (Liz), Winship, I. (Ingrid), Cui, J. (James), Flanagan, J. (James), Kollias, J. (James), Visvader, J. (Jane), Taylor, J. (Jessica), Burke, J. (Jo), Saunus, J. (Jodi), Forbs, J. (John), Hopper, J. (John), Beesley, J. (Jonathan), Kirk, J. (Judy), French, J. (Juliet), Tucker, K. (Kathy), Wu, K. (Kathy), Phillips, K. (Kelly), Forrest, L. (Laura), Lipton, L. (Lara), Andrews, L. (Leslie), Lobb, L. (Lizz), Walker, L. (Logan), Kentwell, M. (Maira), Spurdle, M. (Mandy), Cummings, M. (Margaret), Gleeson, M. (Margaret), Harris, M. (Marion), Jenkins, M. (Mark), Young, M. A. (Mary Anne), Delatycki, M. (Martin), Wallis, M. (Mathew), Burgess, M. (Matthew), Brown, M. (Melissa), Southey, M. (Melissa), Bogwitz, M. (Michael), Field, M. (Michael), Friedlander, M. (Michael), Gattas, M. (Michael), Saleh, M. (Mona), Aghmesheh, M. (Morteza), Hayward, N. (Nick), Pachter, N. (Nick), Cohen, P. (Paul), Duijf, P. (Pascal), James, P. (Paul), Simpson, P. (Pete), Fong, P. (Peter), Butow, P. (Phyllis), Williams, R. (Rachael), Kefford, R. (Rick), Simard, J. (Jacques), Balleine, R.-M. (Rose-Mary), Dawson, S.-J. (Sarah-Jane), Lok, S. (Sheau), O'connell, S. (Shona), Greening, S. (Sian), Nightingale, S. (Sophie), Edwards, S. (Stacey), Fox, S. (Stephen), McLachlan, S.-A. (Sue-Anne), Lakhani, S. (Sunil), Dudding, T. (Tracy), Antill, Y. (Yoland), Sahlberg, K. K. (Kristine K.), Ottestad, L. (Lars), Karesen, R. (Rolf), Schlichting, E. (Ellen), Holmen, M. M. (Marit Muri), Sauer, T. (Toril), Haakensen, V. (Vilde), Engebraten, O. (Olav), Naume, B. (Bjorn), Fossa, A. (Alexander), Kiserud, C. E. (Cecile E.), Reinertsen, K. V. (Kristin, V), Helland, A. (Aslaug), Riis, M. (Margit), Geisler, J. (Juergen), Dunning, A. M. (Alison M.), Thompson, D. J. (Deborah J.), Chenevix-Trench, G. (Georgia), Chang-Claude, J. (Jenny), Schmidt, M. K. (Marjanka K.), Hall, P. (Per), Milne, R. L. (Roger L.), Pharoah, P. D. (Paul D. P.), Antoniou, A. C. (Antonis C.), Chatterjee, N. (Nilanjan), Kraft, P. (Peter), Garcia-Closas, M. (Montserrat), Easton, D. F. (Douglas F.), Mavaddat, N. (Nasim), Michailidou, K. (Kyriaki), Dennis, J. (Joe), Lush, M. (Michael), Fachal, L. (Laura), Lee, A. (Andrew), Tyrer, J. P. (Jonathan P.), Chen, T.-H. (Ting-Huei), Wang, Q. (Qin), Bolla, M. K. (Manjeet K.), Yang, X. (Xin), Adank, M. A. (Muriel A.), Ahearn, T. (Thomas), Aittomaki, K. (Kristiina), Allen, J. (Jamie), Andrulis, I. L. (Irene L.), Anton-Culver, H. (Hoda), Antonenkova, N. N. (Natalia N.), Arndt, V. (Volker), Aronson, K. J. (Kristan J.), Auer, P. L. (Paul L.), Auvinen, P. (Paivi), Barrdahl, M. (Myrto), Freeman, L. E. (Laura E. Beane), Beckmann, M. W. (Matthias W.), Behrens, S. (Sabine), Benitez, J. (Javier), Bermisheva, M. (Marina), Bernstein, L. (Leslie), Blomqvist, C. (Carl), Bogdanova, N. V. (Natalia, V), Bojesen, S. E. (Stig E.), Bonanni, B. (Bernardo), Borresen-Dale, A.-L. (Anne-Lise), Brauch, H. (Hiltrud), Bremer, M. (Michael), Brenner, H. (Hermann), Brentnall, A. (Adam), Brock, I. W. (Ian W.), Brooks-Wilson, A. (Angela), Brucker, S. Y. (Sara Y.), Bruening, T. (Thomas), Burwinkel, B. (Barbara), Campa, D. (Daniele), Carter, B. D. (Brian D.), Castelao, J. E. (Jose E.), Chanock, S. J. (Stephen J.), Chlebowski, R. (Rowan), Christiansen, H. (Hans), Clarke, C. L. (Christine L.), Collee, J. M. (J. Margriet), Cordina-Duverger, E. (Emilie), Cornelissen, S. (Sten), Couch, F. J. (Fergus J.), Cox, A. (Angela), Cross, S. S. (Simon S.), Czene, K. (Kamila), Daly, M. B. (Mary B.), Devilee, P. (Peter), Doerk, T. (Thilo), dos-Santos-Silva, I. (Isabel), Dumont, M. (Martine), Durcan, L. (Lorraine), Dwek, M. (Miriam), Eccles, D. M. (Diana M.), Ekici, A. B. (Arif B.), Eliassen, A. H. (A. Heather), Ellberg, C. (Carolina), Engel, C. (Christoph), Eriksson, M. (Mikael), Evans, D. G. (D. Gareth), Fasching, P. A. (Peter A.), Figueroa, J. (Jonine), Fletcher, O. (Olivia), Flyger, H. (Henrik), Foersti, A. (Asta), Fritschi, L. (Lin), Gabrielson, M. (Marike), Gago-Dominguez, M. (Manuela), Gapstur, S. M. (Susan M.), Garcia-Saenz, J. A. (Jose A.), Gaudet, M. M. (Mia M.), Georgoulias, V. (Vassilios), Giles, G. G. (Graham G.), Gilyazova, I. R. (Irina R.), Glendon, G. (Gord), Goldberg, M. S. (Mark S.), Goldgar, D. E. (David E.), Gonzalez-Neira, A. (Anna), Alnaes, G. I. (Grethe I. Grenaker), Grip, M. (Mervi), Gronwald, J. (Jacek), Grundy, A. (Anne), Guenel, P. (Pascal), Haeberle, L. (Lothar), Hahnen, E. (Eric), Haiman, C. A. (Christopher A.), Hakansson, N. (Niclas), Hamann, U. (Ute), Hankinson, S. E. (Susan E.), Harkness, E. F. (Elaine F.), Hart, S. N. (Steven N.), He, W. (Wei), Hein, A. (Alexander), Heyworth, J. (Jane), Hillemanns, P. (Peter), Hollestelle, A. (Antoinette), Hooning, M. J. (Maartje J.), Hoover, R. N. (Robert N.), Hopper, J. L. (John L.), Howell, A. (Anthony), Huang, G. (Guanmengqian), Humphreys, K. (Keith), Hunter, D. J. (David J.), Jakimovska, M. (Milena), Jakubowska, A. (Anna), Janni, W. (Wolfgang), John, E. M. (Esther M.), Johnson, N. (Nichola), Jones, M. E. (Michael E.), Jukkola-Vuorinen, A. (Arja), Jung, A. (Audrey), Kaaks, R. (Rudolf), Kaczmarek, K. (Katarzyna), Kataja, V. (Vesa), Keeman, R. (Renske), Kerin, M. J. (Michael J.), Khusnutdinova, E. (Elza), Kiiski, J. I. (Johanna, I), Knight, J. A. (Julia A.), Ko, Y.-D. (Yon-Dschun), Kosma, V.-M. (Veli-Matti), Koutros, S. (Stella), Kristensen, V. N. (Vessela N.), Kruger, U. (Ute), Kuehl, T. (Tabea), Lambrechts, D. (Diether), Le Marchand, L. (Loic), Lee, E. (Eunjung), Lejbkowicz, F. (Flavio), Lilyquist, J. (Jenna), Lindblom, A. (Annika), Lindstrom, S. (Sara), Lissowska, J. (Jolanta), Lo, W.-Y. (Wing-Yee), Loibl, S. (Sibylle), Long, J. (Jirong), Lubinski, J. (Jan), Lux, M. P. (Michael P.), MacInnis, R. J. (Robert J.), Maishman, T. (Tom), Makalic, E. (Enes), Kostovska, I. M. (Ivana Maleva), Mannermaa, A. (Arto), Manoukian, S. (Siranoush), Margolin, S. (Sara), Martens, J. W. (John W. M.), Martinez, M. E. (Maria Elena), Mavroudis, D. (Dimitrios), McLean, C. (Catriona), Meindl, A. (Alfons), Menon, U. (Usha), Middha, P. (Pooja), Miller, N. (Nicola), Moreno, F. (Fernando), Mulligan, A. M. (Anna Marie), Mulot, C. (Claire), Munoz-Garzon, V. M. (Victor M.), Neuhausen, S. L. (Susan L.), Nevanlinna, H. (Heli), Neven, P. (Patrick), Newman, W. G. (William G.), Nielsen, S. F. (Sune F.), Nordestgaard, B. G. (Borge G.), Norman, A. (Aaron), Offit, K. (Kenneth), Olson, J. E. (Janet E.), Olsson, H. (Hakan), Orr, N. (Nick), Pankratz, V. S. (V. Shane), Park-Simon, T.-W. (Tjoung-Won), Perez, J. I. (Jose I. A.), Perez-Barrios, C. (Clara), Peterlongo, P. (Paolo), Peto, J. (Julian), Pinchev, M. (Mila), Plaseska-Karanfilska, D. (Dijana), Polley, E. C. (Eric C.), Prentice, R. (Ross), Presneau, N. (Nadege), Prokofyeva, D. (Darya), Purrington, K. (Kristen), Pylkäs, K. (Katri), Rack, B. (Brigitte), Radice, P. (Paolo), Rau-Murthy, R. (Rohini), Rennert, G. (Gad), Rennert, H. S. (Hedy S.), Rhenius, V. (Valerie), Robson, M. (Mark), Romero, A. (Atocha), Ruddy, K. J. (Kathryn J.), Ruebner, M. (Matthias), Saloustros, E. (Emmanouil), Sandler, D. P. (Dale P.), Sawyer, E. J. (Elinor J.), Schmidt, D. F. (Daniel F.), Schmutzler, R. K. (Rita K.), Schneeweiss, A. (Andreas), Schoemaker, M. J. (Minouk J.), Schumacher, F. (Fredrick), Schuermann, P. (Peter), Schwentner, L. (Lukas), Scott, C. (Christopher), Scott, R. J. (Rodney J.), Seynaeve, C. (Caroline), Shah, M. (Mitul), Sherman, M. E. (Mark E.), Shrubsole, M. J. (Martha J.), Shu, X.-O. (Xiao-Ou), Slager, S. (Susan), Smeets, A. (Ann), Sohn, C. (Christof), Soucy, P. (Penny), Southey, M. C. (Melissa C.), Spinelli, J. J. (John J.), Stegmaier, C. (Christa), Stone, J. (Jennifer), Swerdlow, A. J. (Anthony J.), Tamimi, R. M. (Rulla M.), Tapper, W. J. (William J.), Taylor, J. A. (Jack A.), Terry, M. B. (Mary Beth), Thoene, K. (Kathrin), Tollenaar, R. A. (Rob A. E. M.), Tomlinson, I. (Ian), Truong, T. (Therese), Tzardi, M. (Maria), Ulmer, H.-U. (Hans-Ulrich), Untch, M. (Michael), Vachon, C. M. (Celine M.), van Veen, E. M. (Elke M.), Vijai, J. (Joseph), Weinberg, C. R. (Clarice R.), Wendt, C. (Camilla), Whittemore, A. S. (Alice S.), Wildiers, H. (Hans), Willett, W. (Walter), Winqvist, R. (Robert), Wolk, A. (Alicja), Yang, X. R. (Xiaohong R.), Yannoukakos, D. (Drakoulis), Zhang, Y. (Yan), Zheng, W. (Wei), Ziogas, A. (Argyrios), Clarke, C. (Christine), Balleine, R. (Rosemary), Baxter, R. (Robert), Braye, S. (Stephen), Carpenter, J. (Jane), Dahlstrom, J. (Jane), Forbes, J. (John), Lee, C. S. (C. Soon), Marsh, D. (Deborah), Morey, A. (Adrienne), Pathmanathan, N. (Nirmala), Scott, R. (Rodney), Simpson, P. (Peter), Spigelman, A. (Allan), Wilcken, N. (Nicholas), Yip, D. (Desmond), Zeps, N. (Nikolajs), Sexton, A. (Adrienne), Dobrovic, A. (Alex), Christian, A. (Alice), Trainer, A. (Alison), Fellows, A. (Andrew), Shelling, A. (Andrew), De Fazio, A. (Anna), Blackburn, A. (Anneke), Crook, A. (Ashley), Meiser, B. (Bettina), Patterson, B. (Briony), Clarke, C. (Christobel), Saunders, C. (Christobel), Hunt, C. (Clare), Scott, C. (Clare), Amor, D. (David), Ortega, D. G. (David Gallego), Marsh, D. (Deb), Edkins, E. (Edward), Salisbury, E. (Elizabeth), Haan, E. (Eric), Macrea, F. (Finlay), Farshid, G. (Gelareh), Lindeman, G. (Geoff), Trench, G. (Georgia), Mann, G. (Graham), Giles, G. (Graham), Gill, G. (Grantley), Thorne, H. (Heather), Campbell, I. (Ian), Hickie, I. (Ian), Caldon, L. (Liz), Winship, I. (Ingrid), Cui, J. (James), Flanagan, J. (James), Kollias, J. (James), Visvader, J. (Jane), Taylor, J. (Jessica), Burke, J. (Jo), Saunus, J. (Jodi), Forbs, J. (John), Hopper, J. (John), Beesley, J. (Jonathan), Kirk, J. (Judy), French, J. (Juliet), Tucker, K. (Kathy), Wu, K. (Kathy), Phillips, K. (Kelly), Forrest, L. (Laura), Lipton, L. (Lara), Andrews, L. (Leslie), Lobb, L. (Lizz), Walker, L. (Logan), Kentwell, M. (Maira), Spurdle, M. (Mandy), Cummings, M. (Margaret), Gleeson, M. (Margaret), Harris, M. (Marion), Jenkins, M. (Mark), Young, M. A. (Mary Anne), Delatycki, M. (Martin), Wallis, M. (Mathew), Burgess, M. (Matthew), Brown, M. (Melissa), Southey, M. (Melissa), Bogwitz, M. (Michael), Field, M. (Michael), Friedlander, M. (Michael), Gattas, M. (Michael), Saleh, M. (Mona), Aghmesheh, M. (Morteza), Hayward, N. (Nick), Pachter, N. (Nick), Cohen, P. (Paul), Duijf, P. (Pascal), James, P. (Paul), Simpson, P. (Pete), Fong, P. (Peter), Butow, P. (Phyllis), Williams, R. (Rachael), Kefford, R. (Rick), Simard, J. (Jacques), Balleine, R.-M. (Rose-Mary), Dawson, S.-J. (Sarah-Jane), Lok, S. (Sheau), O'connell, S. (Shona), Greening, S. (Sian), Nightingale, S. (Sophie), Edwards, S. (Stacey), Fox, S. (Stephen), McLachlan, S.-A. (Sue-Anne), Lakhani, S. (Sunil), Dudding, T. (Tracy), Antill, Y. (Yoland), Sahlberg, K. K. (Kristine K.), Ottestad, L. (Lars), Karesen, R. (Rolf), Schlichting, E. (Ellen), Holmen, M. M. (Marit Muri), Sauer, T. (Toril), Haakensen, V. (Vilde), Engebraten, O. (Olav), Naume, B. (Bjorn), Fossa, A. (Alexander), Kiserud, C. E. (Cecile E.), Reinertsen, K. V. (Kristin, V), Helland, A. (Aslaug), Riis, M. (Margit), Geisler, J. (Juergen), Dunning, A. M. (Alison M.), Thompson, D. J. (Deborah J.), Chenevix-Trench, G. (Georgia), Chang-Claude, J. (Jenny), Schmidt, M. K. (Marjanka K.), Hall, P. (Per), Milne, R. L. (Roger L.), Pharoah, P. D. (Paul D. P.), Antoniou, A. C. (Antonis C.), Chatterjee, N. (Nilanjan), Kraft, P. (Peter), Garcia-Closas, M. (Montserrat), and Easton, D. F. (Douglas F.)
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57–1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628–0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs.
Published: 2019

4. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk

Author: Lin, W.Y., Camp, N.J., Ghoussaini, M., Beesley, J., Michailidou, K., Hopper, J.L., Apicella, C., Southey, M.C., Stone, J., Schmidt, M.K., Broeks, A., Van't Veer, L.J., Rutgers, E.J.T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Fasching, P.A., Haeberle, L., Ekici, A.B., Beckmann, M.W., Peto, J., Dos-Santos-Silva, I., Fletcher, O., Johnson, N., Bolla, M.K., Wang, Q., Dennis, J., Sawyer, E.J., Cheng, T., Tomlinson, I., Kerin, M.J., Miller, N., Marme, F., Surowy, H.M., Burwinkel, B., Guenel, P., Truong, T., Menegaux, F., Mulot, C., Bojesen, S.E., Nordestgaard, B.G., Nielsen, S.F., Flyger, H., Benitez, J., Zamora, M.P., Perez, J.I.A., Menendez, P., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Alvarez, N., Herrera, D., Anton-Culver, H., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Meindl, A., Lichtner, P., Schmutzler, R.K., Muller-Myhsok, B., Brauch, H., Bruning, T., Ko, Y.D., Tessier, D.C., Vincent, D., Bacot, F., Nevanlinna, H., Aittomaki, K., Blomqvist, C., Khan, S., Matsuo, K., Ito, H., Iwata, H., Horio, A., Bogdanova, N.V., Antonenkova, N.N., Dork, T., Lindblom, A., Margolin, S., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Neven, P., Wauters, E., Wildiers, H., Lambrechts, D., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Radice, P., Peterlongo, P., Manoukian, S., Bonanni, B., Couch, F.J., Wang, X.S., Vachon, C., Purrington, K., Giles, G.G., Milne, R.L., Mclean, C., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Simard, J., Goldberg, M.S., Labreche, F., Dumont, M., Teo, S.H., Yip, C.H., Hassan, N., Vithana, E.N., Kristensen, V., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Kauppila, S., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Asperen, C.J. van, Garcia-Closas, M., Figueroa, J., Lissowska, J., Brinton, L., Czene, K., Darabi, H., Eriksson, M., Brand, J.S., Hooning, M.J., Hollestelle, A., Ouweland, A.M.W. van den, Jager, A., Li, J.M., Liu, J.J., Humphreys, K., Shu, X.O., Lu, W., Gao, Y.T., Cai, H., Cross, S.S., Reed, M.W.R., Blot, W., Signorello, L.B., Cai, Q.Y., Pharoah, P.D.P., Perkins, B., Shah, M., Blows, F.M., Kang, D., Yoo, K.Y., Noh, D.Y., Hartman, M., Miao, H., Chia, K.S., Putti, T.C., Hamann, U., Luccarini, C., Baynes, C., Ahmed, S., Maranian, M., Healey, C.S., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Sangrajrang, S., Gaborieau, V., Brennan, P., Mckay, J., Slager, S., Toland, A.E., Yannoukakos, D., Shen, C.Y., Hsiung, C.N., Wu, P.E., Ding, S.L., Ashworth, A., Jones, M., Orr, N., Swerdlow, A.J., Tsimiklis, H., Makalic, E., Schmidt, D.F., Bui, Q.M., Chanock, S.J., Hunter, D.J., Hein, R., Dahmen, N., Beckmann, L., Aaltonen, K., Muranen, T.A., Heikkinen, T., Irwanto, A., Rahman, N., Turnbull, C.A., Waisfisz, Q., Meijers-Heijboer, H.E.J., Adank, M.A., Luijt, R.B. van der, Hall, P., Chenevix-Trench, G., Dunning, A., Easton, D.F., Cox, A., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, Breast Ovarian Canc Susceptibility, Clinical Genetics, Obstetrics & Gynecology, Medical Oncology, Cardiothoracic Surgery, Cancer Center Amsterdam, Amsterdam Reproduction & Development (AR&D), Human Genetics, Human genetics, CCA - Oncogenesis, Ghoussaini, Maya [0000-0002-2415-2143], Wang, Jean [0000-0002-9139-0627], Dennis, Joe [0000-0003-4591-1214], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Genotyping Techniques, Research Support, U.S. Gov't, P.H.S, CASP8 and FADD-Like Apoptosis Regulating Protein, Genome-wide association study, P.H.S, Medical and Health Sciences, Breast and Ovarian Cancer Susceptibility (BOCS) Study, Medizinische Fakultät, Genetics(clinical), Non-U.S. Gov't, Genetics (clinical), Genetics, Genetics & Heredity, variants, Caspase 8, Research Support, Non-U.S. Gov't, Association Studies Articles, General Medicine, Biological Sciences, ddc, Chromosomes, Human, Pair 2, kConFab Investigators, Female, GENICA Network, Australian Ovarian Cancer Study Group, European Continental Ancestry Group, Non-P.H.S, Single-nucleotide polymorphism, Breast Neoplasms, Biology, Research Support, Polymorphism, Single Nucleotide, White People, N.I.H, Breast cancer, Research Support, N.I.H., Extramural, SDG 3 - Good Health and Well-being, medicine, Journal Article, Humans, Genetic Predisposition to Disease, ddc:610, gene, Genotyping, Molecular Biology, Genetic association, disease, Extramural, Proteins, Odds ratio, medicine.disease, susceptibility loci, Minor allele frequency, Case-Control Studies, genome-wide association, enhancers, U.S. Gov't, casp8, Research Support, U.S. Gov't, Non-P.H.S, Genome-Wide Association Study
Abstract: Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regressionmodels adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10-5. Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P=3 × 10-6), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10-9. Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8might be the target gene, suggesting amechanism involving apoptosis.
Published: 2016

5. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium

Author: Milne, R.L., Burwinkel, B., Michailidou, K., Arias-Perez, J.I., Zamora, M.P., Menendez-Rodriguez, P., Hardisson, D., Mendiola, M., Gonzalez-Neira, A., Pita, G., Alonso, M.R., Dennis, J., Wang, Q., Bolla, M.K., Swerdlow, A., Ashworth, A., Orr, N., Schoemaker, M., Ko, Y.D., Brauch, H., Hamann, U., Andrulis, I.L., Knight, J.A., Glendon, G., Tchatchou, S., Matsuo, K., Ito, H., Iwata, H., Tajima, K., Li, J.M., Brand, J.S., Brenner, H., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Lambrechts, D., Peuteman, G., Christiaens, M.R., Smeets, A., Jakubowska, A., Lubinski, J., Jaworska-Bieniek, K., Durda, K., Hartman, M., Hui, M., Lim, W.Y., Chan, C.W., Marme, F., Yang, R.X., Bugert, P., Lindblom, A., Margolin, S., Garcia-Closas, M., Chanock, S.J., Lissowska, J., Figueroa, J.D., Bojesen, S.E., Nordestgaard, B.G., Flyger, H., Hooning, M.J., Kriege, M., Ouweland, A.M.W. van den, Koppert, L.B., Fletcher, O., Johnson, N., Dos-Santos-Silva, I., Peto, J., Zheng, W., Deming-Halverson, S., Shrubsole, M.J., Long, J.R., Chang-Claude, J., Rudolph, A., Seibold, P., Flesch-Janys, D., Winqvist, R., Pylkas, K., Jukkola-Vuorinen, A., Grip, M., Cox, A., Cross, S.S., Reed, M.W.R., Schmidt, M.K., Broeks, A., Cornelissen, S., Braaf, L., Kang, D., Choi, J.Y., Park, S.K., Noh, D.Y., Simard, J., Dumont, M., Goldberg, M.S., Labreche, F., Fasching, P.A., Hein, A., Ekici, A.B., Beckmann, M.W., Radice, P., Peterlongo, P., Azzollini, J., Barile, M., Sawyer, E., Tomlinson, I., Kerin, M., Miller, N., Hopper, J.L., Schmidt, D.F., Makalic, E., Southey, M.C., Teo, S.H., Yip, C.H., Sivanandan, K., Tay, W.T., Shen, C.Y., Hsiung, C.N., Yu, J.C., Hou, M.F., Guenel, P., Truong, T., Sanchez, M., Mulot, C., Blot, W., Cai, Q.Y., Nevanlinna, H., Muranen, T.A., Aittomaki, K., Blomqvist, C., Wu, A.H., Tseng, C.C., Berg, D. van den, Stram, D.O., Bogdanova, N., Dork, T., Muir, K., Lophatananon, A., Stewart-Brown, S., Siriwanarangsan, P., Mannermaa, A., Kataja, V., Kosma, V.M., Hartikainen, J.M., Shu, X.O., Lu, W., Gao, Y.T., Zhang, B., Couch, F.J., Toland, A.E., Yannoukakos, D., Sangrajrang, S., McKay, J., Wang, X.S., Olson, J.E., Vachon, C., Purrington, K., Severi, G., Baglietto, L., Haiman, C.A., Henderson, B.E., Schumacher, F., Marchand, L. le, Devilee, P., Tollenaar, R.A.E.M., Seynaeve, C., Czene, K., Eriksson, M., Humphreys, K., Darabi, H., Ahmed, S., Shah, M., Pharoah, P.D.P., Hall, P., Giles, G.G., Benitez, J., Dunning, A.M., Chenevix-Trench, G., Easton, D.F., GENICA Network, kConFab Investigators, Australian Ovarian Canc Study Grp, TNBCC, Dennis, Joe [0000-0003-4591-1214], Wang, Jean [0000-0002-9139-0627], Pharoah, Paul [0000-0001-8494-732X], Dunning, Alison [0000-0001-6651-7166], Easton, Douglas [0000-0003-2444-3247], and Apollo - University of Cambridge Repository
Subjects: Adult, Ataxin-7, A Kinase Anchor Proteins, Breast Neoplasms, Nerve Tissue Proteins, Middle Aged, Protein Serine-Threonine Kinases, Polymorphism, Single Nucleotide, Cytoskeletal Proteins, Case-Control Studies, Humans, NIMA-Related Kinases, Female, Genetic Predisposition to Disease, health care economics and organizations, Alleles, Genome-Wide Association Study
Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility\ud variants, although most studies have been underpowered to detect associations of a realistic magnitude.\ud We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which\ud evidence of association with breast cancer risk had been previously reported. Case-control data were combined\ud from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional\ud logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21\ud [rs1053338, per allele OR 5 1.07, 95% confidence interval (CI) 5 1.04–1.10, P 5 2.9 3 1026\ud ], AKAP9-M463I at\ud 7q21 (rs6964587, OR 5 1.05, 95% CI 5 1.03–1.07, P 5 1.7 3 1026\ud ) and NEK10-L513S at 3p24 (rs10510592,\ud OR 5 1.10, 95% CI 5 1.07 –1.12, P 5 5.1 3 10217). The first two associations reached genome-wide statistical\ud significance in a combined analysis of available data, including independent data from nine genome-wide association\ud studies (GWASs): for ATXN7-K264R, OR 5 1.07 (95% CI 5 1.05–1.10, P 5 1.0 3 1028\ud ); for AKAP9-M463I,\ud OR 5 1.05 (95% CI 5 1.04–1.07, P 5 2.0 3 10210). Further analysis of other common variants in these two\ud regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified\ud a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is\ud associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility\ud region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of\ud the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast\ud cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying\ud variants and the genes through which they act.
Published: 2014

6. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium

Author: Rl, Milne, Herranz J, Michailidou K, Joe Dennis, Jp, Tyrer, Mp, Zamora, Ji, Arias-Perez, González-Neira A, Pita G, Alonso MR, Wang Q, Mk, Bolla, Czene K, Eriksson M, Humphreys K, Darabi H, Li J, Anton-Culver H, Sl, Neuhausen, Ziogas A, Ca, Clarke, Jl, Hopper, Gs, Dite, Apicella C, Mc, Southey, Chenevix-Trench G, kConFab Investigators, Australian Ovarian Cancer Study Group, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Il, Andrulis, Ja, Knight, Glendon G, Am, Mulligan, Se, Bojesen, Bg, Nordestgaard, Flyger H, Nevanlinna H, Ta, Muranen, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Je, Olson, Vachon C, Purrington K, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Am, Dunning, Shah M, Guénel P, Truong T, Sanchez M, Mulot C, Brenner H, Ak, Dieffenbach, Arndt V, Stegmaier C, Lindblom A, Margolin S, Hooning M, Hollestelle A, Collée M, Jager A, Cox A, Iw, Brock, Mw, Reed, Devilee P, Ra, Tollenaar, Seynaeve C, Ca, Haiman, Be, Henderson, Schumacher F, Le Marchand L, Simard J, Dumont M, Soucy P, Dörk T, Nv, Bogdanova, Hamann U, Försti A, Rüdiger T, Hu, Ulmer, Pa, Fasching, Häberle L, Ab, Ekici, Mw, Beckmann, Fletcher O, Johnson N, Id, Silva, Peto J, Radice P, Peterlongo P, Peissel B, Mariani P, Gg, Giles, Severi G, Baglietto L, Sawyer E, Tomlinson I, Kerin M, Miller N, Marme F, Burwinkel B, Mannermaa A, Kataja V, Vm, Kosma, Hartikainen J, Lambrechts D, Bt, Yesilyurt, Floris G, Leunen K, Gg, Alnæs, Kristensen V, Al, Børresen-Dale, García-Closas M, Sj, Chanock, Lissowska J, Jd, Figueroa, Mk, Schmidt, Broeks A, Verhoef S, Ej, Rutgers, Brauch H, Brüning T, Yd, Ko, Genica, The Network, Fj, Couch, Ae, Toland, Tnbcc, The, Yannoukakos D, Pd, Pharoah, Hall P, Benítez J, Malats N, and Df, Easton
Subjects: Australian Ovarian Cancer Study Group, Genetics & Heredity, Breast Neoplasms, Epistasis, Genetic, Biological Sciences, TNBCC, Polymorphism, Single Nucleotide, Medical and Health Sciences, Logistic Models, Case-Control Studies, kConFab Investigators, Humans, Genetic Predisposition to Disease, Female, GENICA Network, Genome-Wide Association Study
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014

7. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium

Author: Evans, Jeff, Agarwal, Devika, Pineda Sanjuan, Silvia, Michailidou, Kyriaki, Herranz, J, Pita, Guillermo, Moreno, T, Alonso, M R, Dennis, Joe, Wang, Qin, Bolla, Manjeet, Meyer, B, Menéndez-Rodríguez, Primitiva, Hardisson, David, Mendiola, Marta, González-Neira, Anna, Lindblom, Annika, Margolin, Sara, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Jones, Michael, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Kondo, Naoto, Hartman, Mikael, Hui, Miao, Lim, Wei Yee, Iau, P T -C, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Kang, Daehee, Choi, Ji Yeob, Park, Sue, Noh, Dong Young, Hopper, John, Schmidt, Daniel, Makalic, Enes, Southey, Melissa, Teo, Soo, Yip, Cheng Har, Sivanandan, K, Tay, Tin, Brauch, Hiltrud, Brüning, Thomas, Hamann, Ute, Dunning, Alison, Shah, Mitul, Andrulis, Irene, Knight, Julia, Glendon, Gord, Tchatchou, S, Schmidt, Marjanka, Broeks, Annegien, Rosenberg, E H, van't Veer, L J, Fasching, Peter, Renner, S P, Ekici, Arif, Beckmann, Matthias, Shen, Chen Yang, Hsiung, Chia-Ni, Yu, Jy-Cherng, Blot, William, Cai, Qiuyin, Wu, Anna, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel, Cox, Angela, Brock, Ian, Reed, Malcom, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, P, Zheng, Wei, Deming-Halverson, Sandra, Shrubsole, Martha, Long, Jirong, Shu, Xiao-Ou, Lu, W, Gao, Yu-Tang, Zhang, B, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Mariette, F, Sangrajrang, Suleeporn, McKay, James, Couch, Fergus, Toland, A E, Yannoukakos, D, Fletcher, Olivia, Johnson, Nicola, dos Santos Silva, I, Peto, Julian, Marme, F, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Sanchez, M, Mulot, Claire, Bojesen, Stig, Nordestgaard, Borge, Flyer, H, Brenner, Hermann, Dieffenbach, A K, Arndt, Volker, Stegmaier, Christa, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Lambrechts, Diether, Yesilyurt, B T, Floris, G, Leunen, K, Chang-Claude, Jenny, Rudolph, Anja, Seibold, P, Flesch-Janys, Dieter, Wang, X, Olson, Janet, Vachon, Celine, Purrington, K, Giles, Graham, Severi, G, Baglietto, L, Haiman, Christopher, Henderson, B E, Schumacher, Fredrick, Marchand, Loïc Le, Simard, Jacques, Dumont, Martine, Goldberg, Mark, Labréche, F, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Devilee, Peter, Tollenaar, Rob, Seynaeve, Caroline, García-Closas, Montserrat, Chanock, Stephen, Lissowska, Jolanta, Figueroa, Jonine, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, H, Hooning, Maartje, Kriege, Margriet, Collée, Margriet, Tilanus-Linthorst, M, Li, Jingmei, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, K, Durda, K, Nevanlinna, Heli, Muranen, T A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Dörk, Thilo, Hall, Per, Chenevix-Trench, Georgia, Easton, Douglas, Pharroah, Paul, Arias-Perez, José Ignacio, Zamora, P, Benítez, Javier, Milne, Roger, Evans, Jeff, Agarwal, Devika, Pineda Sanjuan, Silvia, Michailidou, Kyriaki, Herranz, J, Pita, Guillermo, Moreno, T, Alonso, M R, Dennis, Joe, Wang, Qin, Bolla, Manjeet, Meyer, B, Menéndez-Rodríguez, Primitiva, Hardisson, David, Mendiola, Marta, González-Neira, Anna, Lindblom, Annika, Margolin, Sara, Swerdlow, Anthony, Ashworth, Alan, Orr, Nick, Jones, Michael, Matsuo, Keitaro, Ito, Hidemi, Iwata, Hiroji, Kondo, Naoto, Hartman, Mikael, Hui, Miao, Lim, Wei Yee, Iau, P T -C, Sawyer, Elinor, Tomlinson, Ian, Kerin, Michael, Miller, Nicola, Kang, Daehee, Choi, Ji Yeob, Park, Sue, Noh, Dong Young, Hopper, John, Schmidt, Daniel, Makalic, Enes, Southey, Melissa, Teo, Soo, Yip, Cheng Har, Sivanandan, K, Tay, Tin, Brauch, Hiltrud, Brüning, Thomas, Hamann, Ute, Dunning, Alison, Shah, Mitul, Andrulis, Irene, Knight, Julia, Glendon, Gord, Tchatchou, S, Schmidt, Marjanka, Broeks, Annegien, Rosenberg, E H, van't Veer, L J, Fasching, Peter, Renner, S P, Ekici, Arif, Beckmann, Matthias, Shen, Chen Yang, Hsiung, Chia-Ni, Yu, Jy-Cherng, Blot, William, Cai, Qiuyin, Wu, Anna, Tseng, Chiu-Chen, Van Den Berg, David, Stram, Daniel, Cox, Angela, Brock, Ian, Reed, Malcom, Muir, Kenneth, Lophatananon, Artitaya, Stewart-Brown, Sarah, Siriwanarangsan, P, Zheng, Wei, Deming-Halverson, Sandra, Shrubsole, Martha, Long, Jirong, Shu, Xiao-Ou, Lu, W, Gao, Yu-Tang, Zhang, B, Radice, Paolo, Peterlongo, Paolo, Manoukian, Siranoush, Mariette, F, Sangrajrang, Suleeporn, McKay, James, Couch, Fergus, Toland, A E, Yannoukakos, D, Fletcher, Olivia, Johnson, Nicola, dos Santos Silva, I, Peto, Julian, Marme, F, Burwinkel, Barbara, Guénel, Pascal, Truong, Thérèse, Sanchez, M, Mulot, Claire, Bojesen, Stig, Nordestgaard, Borge, Flyer, H, Brenner, Hermann, Dieffenbach, A K, Arndt, Volker, Stegmaier, Christa, Mannermaa, Arto, Kataja, Vesa, Kosma, Veli-Matti, Hartikainen, Jaana, Lambrechts, Diether, Yesilyurt, B T, Floris, G, Leunen, K, Chang-Claude, Jenny, Rudolph, Anja, Seibold, P, Flesch-Janys, Dieter, Wang, X, Olson, Janet, Vachon, Celine, Purrington, K, Giles, Graham, Severi, G, Baglietto, L, Haiman, Christopher, Henderson, B E, Schumacher, Fredrick, Marchand, Loïc Le, Simard, Jacques, Dumont, Martine, Goldberg, Mark, Labréche, F, Winqvist, Robert, Pylkäs, Katri, Jukkola-Vuorinen, Arja, Grip, Mervi, Devilee, Peter, Tollenaar, Rob, Seynaeve, Caroline, García-Closas, Montserrat, Chanock, Stephen, Lissowska, Jolanta, Figueroa, Jonine, Czene, Kamila, Eriksson, Mikael, Humphreys, Keith, Darabi, H, Hooning, Maartje, Kriege, Margriet, Collée, Margriet, Tilanus-Linthorst, M, Li, Jingmei, Jakubowska, Anna, Lubinski, Jan, Jaworska-Bieniek, K, Durda, K, Nevanlinna, Heli, Muranen, T A, Aittomäki, Kristiina, Blomqvist, Carl, Bogdanova, Natalia, Dörk, Thilo, Hall, Per, Chenevix-Trench, Georgia, Easton, Douglas, Pharroah, Paul, Arias-Perez, José Ignacio, Zamora, P, Benítez, Javier, and Milne, Roger
Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02–1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2., Depto. de Estadística y Ciencia de los Datos, Fac. de Estudios Estadísticos, TRUE, pub
Published: 2014

8. Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions

Author: Schoeps, A., Rudolph, A., Seibold, P., Dunning, A.M., Milne, R.L., Bojesen, S.E., Swerdlow, A., Andrulis, I., Brenner, H., Behrens, S., Orr, N., Jones, M., Ashworth, A., Li, J., Cramp, H., Connley, D., Czene, K., Darabi, H., Chanock, S.J., Lissowska, J., Figueroa, J.D., Knight, J., Glendon, G., Mulligan, A.M., Dumont, M., Severi, G., Baglietto, L., Olson, J., Vachon, C., Purrington, K., Moisse, M., Neven, P., Wildiers, H., Spurdle, A., Kosma, V.M., Kataja, V., Hartikainen, J.M., Hamann, U., Ko, Y.D., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Malats, N., Perez, J.I., Benitez, J., Flyger, H., Nordestgaard, B.G., Truong, T., Cordina-Duverger, E., Menegaux, F., dos Santos Silva, I., Fletcher, O., Johnson, N., Haberle, L., Beckmann, M.W., Ekici, A.B., Braaf, L., Atsma, F., Broek, A.J. van den, Makalic, E., Schmidt, D.F., Southey, M.C., Cox, A, Simard, J., Giles, G.G., Lambrechts, D., Mannermaa, A., Brauch, H., Guenel, P., Peto, J., Fasching, P.A., Hopper, J., Flesch-Janys, D., Couch, F., Chenevix-Trench, G., Pharoah, P.D., Garcia-Closas, M., Schmidt, M.K., Hall, P., Easton, D.F., Chang-Claude, J., Schoeps, A., Rudolph, A., Seibold, P., Dunning, A.M., Milne, R.L., Bojesen, S.E., Swerdlow, A., Andrulis, I., Brenner, H., Behrens, S., Orr, N., Jones, M., Ashworth, A., Li, J., Cramp, H., Connley, D., Czene, K., Darabi, H., Chanock, S.J., Lissowska, J., Figueroa, J.D., Knight, J., Glendon, G., Mulligan, A.M., Dumont, M., Severi, G., Baglietto, L., Olson, J., Vachon, C., Purrington, K., Moisse, M., Neven, P., Wildiers, H., Spurdle, A., Kosma, V.M., Kataja, V., Hartikainen, J.M., Hamann, U., Ko, Y.D., Dieffenbach, A.K., Arndt, V., Stegmaier, C., Malats, N., Perez, J.I., Benitez, J., Flyger, H., Nordestgaard, B.G., Truong, T., Cordina-Duverger, E., Menegaux, F., dos Santos Silva, I., Fletcher, O., Johnson, N., Haberle, L., Beckmann, M.W., Ekici, A.B., Braaf, L., Atsma, F., Broek, A.J. van den, Makalic, E., Schmidt, D.F., Southey, M.C., Cox, A, Simard, J., Giles, G.G., Lambrechts, D., Mannermaa, A., Brauch, H., Guenel, P., Peto, J., Fasching, P.A., Hopper, J., Flesch-Janys, D., Couch, F., Chenevix-Trench, G., Pharoah, P.D., Garcia-Closas, M., Schmidt, M.K., Hall, P., Easton, D.F., and Chang-Claude, J.
Abstract: Item does not contain fulltext, Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G x E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 x 10(-07)), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 x 10(-05)). Our findings confirm comparable power of the recent methods for detecting G x E interaction and the utility of using G x E interaction analyses to identify new susceptibility loci.
Published: 2014

9. Inherited variants in the inner centromere protein (INCENP) gene of the chromosomal passenger complex contribute to the susceptibility of ER-negative breast cancer

Author: Kabisch, M. (Maria), Bermejo, J.L. (Justo Lorenzo), Dünnebier, T. (Thomas), Ying, S. (Shibo), Michailidou, K. (Kyriaki), Bolla, M.K. (Manjeet), Wang, Q. (Qing), Dennis, J. (Joe), Shah, M. (Mitul), Perkins, B. (Barbara), Czene, K. (Kamila), Darabi, H. (Hatef), Eriksson, M. (Mikael), Bojesen, S.E. (Stig), Nordestgaard, B.G. (Børge), Nielsen, S.F. (Sune), Flyger, H. (Henrik), Lambrechts, D. (Diether), Neven, P. (Patrick), Peeters, S.T.H. (Stephanie), Weltens, C. (Caroline), Couch, F.J. (Fergus), Olson, J.E. (Janet), Wang, X. (Xianshu), Purrington, K. (Kristen), Chang-Claude, J. (Jenny), Rudolph, A. (Anja), Seibold, P. (Petra), Flesch-Janys, D. (Dieter), Peto, J. (Julian), Santos Silva, I. (Isabel) dos, Johnson, N. (Nichola), Fletcher, O. (Olivia), Nevanlinna, H. (Heli), Muranen, T.A. (Taru), Aittomäki, K. (Kristiina), Blomqvist, C. (Carl), Schmidt, M.K. (Marjanka), Broeks, A. (Annegien), Cornelissen, S. (Sten), Hogervorst, F.B.L. (Frans), Li, J. (Jingmei), Brand, J.S. (Judith S.), Humphreys, M.K. (Manjeet), Guénel, P. (Pascal), Truong, T. (Thérèse), Menegaux, F. (Florence), Sanchez, M. (Marie), Burwinkel, B. (Barbara), Marme, F. (Federick), Yang, R. (Rongxi), Bugert, P. (Peter), González-Neira, A. (Anna), Benítez, J. (Javier), Zamora, M.P. (Pilar), Arias Pérez, J.I. (José Ignacio), Cox, A. (Angela), Cross, S.S. (Simon), Reed, M.W.R. (Malcolm), Andrulis, I.L. (Irene), Knight, J.A. (Julia), Glendon, G. (Gord), Tchatchou, S. (Sandrine), Sawyer, E.J. (Elinor), Tomlinson, I.P. (Ian), Kerin, M. (Michael), Miller, N. (Nicola), Haiman, C.A. (Christopher), Schumacher, F.R. (Fredrick), Henderson, B.E. (Brian), Le Marchand, L. (Loic), Lindblom, A. (Annika), Margolin, S. (Sara), Hooning, M.J. (Maartje), Hollestelle, A. (Antoinette), Kriege, M. (Mieke), Koppert, L.B. (Linetta), Hopper, J. (John), Southey, M.C. (Melissa), Tsimiklis, H. (Helen), Apicella, C. (Carmel), Slettedahl, S. (Seth), Toland, A.E. (Amanda), Vachon, C. (Celine), Yannoukakos, D. (Drakoulis), Giles, G.G. (Graham), Milne, R.L. (Roger), McLean, C.A. (Catriona Ann), Fasching, P.A. (Peter), Ruebner, M. (Matthias), Ekici, A.B. (Arif), Beckmann, M.W. (Matthias), Brenner, H. (Hermann), Dieffenbach, A.K. (Aida Karina), Arndt, V. (Volker), Stegmaier, C. (Christa), Ashworth, A. (Alan), Orr, N. (Nick), Schoemaker, M. (Minouk), Swerdlow, A.J. (Anthony ), García-Closas, M. (Montserrat), Figueroa, J.D. (Jonine), Chanock, S.J. (Stephen), Lissowska, J. (Jolanta), Goldberg, M.S. (Mark), Labrèche, F. (France), Dumont, M. (Martine), Winqvist, R. (Robert), Pykäs, K. (Katri), Jukkola-Vuorinen, A. (Arja), Grip, M. (Mervi), Brauch, H. (Hiltrud), Brüning, T. (Thomas), Ko, Y-D. (Yon-Dschun), Radice, P. (Paolo), Peterlongo, P. (Paolo), Scuvera, G. (Giulietta), Fortuzzi, S. (S.), Bogdanova, N.V. (Natalia), Dörk, T. (Thilo), Mannermaa, A. (Arto), Kataja, V. (Vesa), Kosma, V-M. (Veli-Matti), Hartikainen, J.M. (J.), Devilee, P. (Peter), Tollenaar, R.A.M. (Robert A.M.), Seynaeve, C.M. (Caroline), Asperen, C.J. (Christi) van, Jakubowska, A. (Anna), Lubinski, J. (Jan), Jaworska-Bieniek, K. (Katarzyna), Durda, K. (Katarzyna), Zheng, W. (Wei), Shrubsole, M. (Martha), Cai, Q. (Qiuyin), Torres, D. (Diana), Anton-Culver, H. (Hoda), Kristensen, V. (Vessela), Bacot, F. (Francois), Tessier, D.C. (Daniel C.), Vincent, D. (Daniel), Luccarini, C. (Craig), Baynes, C. (Caroline), Ahmed, S. (Shahana), Maranian, M. (Melanie), Simard, J. (Jacques), Chenevix-Trench, G. (Georgia), Hall, P. (Per), Pharoah, P.D.P. (Paul), Dunning, A.M. (Alison), Easton, D.F. (Douglas), Hamann, U. (Ute), Kabisch, M. (Maria), Bermejo, J.L. (Justo Lorenzo), Dünnebier, T. (Thomas), Ying, S. (Shibo), Michailidou, K. (Kyriaki), Bolla, M.K. (Manjeet), Wang, Q. (Qing), Dennis, J. (Joe), Shah, M. (Mitul), Perkins, B. (Barbara), Czene, K. (Kamila), Darabi, H. (Hatef), Eriksson, M. (Mikael), Bojesen, S.E. (Stig), Nordestgaard, B.G. (Børge), Nielsen, S.F. (Sune), Flyger, H. (Henrik), Lambrechts, D. (Diether), Neven, P. (Patrick), Peeters, S.T.H. (Stephanie), Weltens, C. (Caroline), Couch, F.J. (Fergus), Olson, J.E. (Janet), Wang, X. (Xianshu), Purrington, K. (Kristen), Chang-Claude, J. (Jenny), Rudolph, A. (Anja), Seibold, P. (Petra), Flesch-Janys, D. (Dieter), Peto, J. (Julian), Santos Silva, I. (Isabel) dos, Johnson, N. (Nichola), Fletcher, O. (Olivia), Nevanlinna, H. (Heli), Muranen, T.A. (Taru), Aittomäki, K. (Kristiina), Blomqvist, C. (Carl), Schmidt, M.K. (Marjanka), Broeks, A. (Annegien), Cornelissen, S. (Sten), Hogervorst, F.B.L. (Frans), Li, J. (Jingmei), Brand, J.S. (Judith S.), Humphreys, M.K. (Manjeet), Guénel, P. (Pascal), Truong, T. (Thérèse), Menegaux, F. (Florence), Sanchez, M. (Marie), Burwinkel, B. (Barbara), Marme, F. (Federick), Yang, R. (Rongxi), Bugert, P. (Peter), González-Neira, A. (Anna), Benítez, J. (Javier), Zamora, M.P. (Pilar), Arias Pérez, J.I. (José Ignacio), Cox, A. (Angela), Cross, S.S. (Simon), Reed, M.W.R. (Malcolm), Andrulis, I.L. (Irene), Knight, J.A. (Julia), Glendon, G. (Gord), Tchatchou, S. (Sandrine), Sawyer, E.J. (Elinor), Tomlinson, I.P. (Ian), Kerin, M. (Michael), Miller, N. (Nicola), Haiman, C.A. (Christopher), Schumacher, F.R. (Fredrick), Henderson, B.E. (Brian), Le Marchand, L. (Loic), Lindblom, A. (Annika), Margolin, S. (Sara), Hooning, M.J. (Maartje), Hollestelle, A. (Antoinette), Kriege, M. (Mieke), Koppert, L.B. (Linetta), Hopper, J. (John), Southey, M.C. (Melissa), Tsimiklis, H. (Helen), Apicella, C. (Carmel), Slettedahl, S. (Seth), Toland, A.E. (Amanda), Vachon, C. (Celine), Yannoukakos, D. (Drakoulis), Giles, G.G. (Graham), Milne, R.L. (Roger), McLean, C.A. (Catriona Ann), Fasching, P.A. (Peter), Ruebner, M. (Matthias), Ekici, A.B. (Arif), Beckmann, M.W. (Matthias), Brenner, H. (Hermann), Dieffenbach, A.K. (Aida Karina), Arndt, V. (Volker), Stegmaier, C. (Christa), Ashworth, A. (Alan), Orr, N. (Nick), Schoemaker, M. (Minouk), Swerdlow, A.J. (Anthony ), García-Closas, M. (Montserrat), Figueroa, J.D. (Jonine), Chanock, S.J. (Stephen), Lissowska, J. (Jolanta), Goldberg, M.S. (Mark), Labrèche, F. (France), Dumont, M. (Martine), Winqvist, R. (Robert), Pykäs, K. (Katri), Jukkola-Vuorinen, A. (Arja), Grip, M. (Mervi), Brauch, H. (Hiltrud), Brüning, T. (Thomas), Ko, Y-D. (Yon-Dschun), Radice, P. (Paolo), Peterlongo, P. (Paolo), Scuvera, G. (Giulietta), Fortuzzi, S. (S.), Bogdanova, N.V. (Natalia), Dörk, T. (Thilo), Mannermaa, A. (Arto), Kataja, V. (Vesa), Kosma, V-M. (Veli-Matti), Hartikainen, J.M. (J.), Devilee, P. (Peter), Tollenaar, R.A.M. (Robert A.M.), Seynaeve, C.M. (Caroline), Asperen, C.J. (Christi) van, Jakubowska, A. (Anna), Lubinski, J. (Jan), Jaworska-Bieniek, K. (Katarzyna), Durda, K. (Katarzyna), Zheng, W. (Wei), Shrubsole, M. (Martha), Cai, Q. (Qiuyin), Torres, D. (Diana), Anton-Culver, H. (Hoda), Kristensen, V. (Vessela), Bacot, F. (Francois), Tessier, D.C. (Daniel C.), Vincent, D. (Daniel), Luccarini, C. (Craig), Baynes, C. (Caroline), Ahmed, S. (Shahana), Maranian, M. (Melanie), Simard, J. (Jacques), Chenevix-Trench, G. (Georgia), Hall, P. (Per), Pharoah, P.D.P. (Paul), Dunning, A.M. (Alison), Easton, D.F. (Douglas), and Hamann, U. (Ute)
Abstract: The chromosomal passenger complex (CPC) plays a pivotal role in the regulation of cell division. Therefore, inherited CPC variability could influence tumor development. The present candidate gene approach investigates the relationship between single nucleotide polymorphisms (SNPs) in genes encoding key CPC components and breast cancer risk. Fifteen SNPs in four CPC genes (INCENP, AURKB, BIRC5 and CDCA8) were genotyped in 88 911 European women from 39 case-control studies of the Breast Cancer Association Consortium. Possible associations were investigated in fixedeffects meta-analyses. The synonymous SNP rs1675126 in exon 7 of INCENP was associated with overall breast cancer risk [per A allele odds ratio (OR) 0.95, 95% confidence interval (CI) 0.92-0.98, P = 0.007] and particularly with estrogen receptor (ER)-negative breast tumors (per A allele OR 0.89, 95% CI 0.83-0.95, P = 0.0005). SNPs not directly genotyped were imputed based on 1000 Genomes. The SNPs rs1047739 in the 3′ untranslated region and rs144045115 downstream of INCENP showed the strongest association signals for overall (per T allele OR 1.03, 95% CI 1.00-1.06, P = 0.0009) and ER-negative breast cancer risk (per A allele OR 1.06, 95% CI 1.02-1.10, P = 0.0002). Two genotyped SNPs in BIRC5 were associated with familial breast cancer risk (top SNP rs2071214: per G allele OR 1.12, 95% CI 1.04-1.21, P = 0.002). The data suggest that INCENP in the CPC pathway contributes to ER-nega
Published: 2014
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10. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium

Author: Milne, RL, Burwinkel, B, Michailidou, K, Arias-Perez, J-I, Pilar Zamora, M, Menendez-Rodriguez, P, Hardisson, D, Mendiola, M, Gonzalez-Neira, A, Pita, G, Rosario Alonso, M, Dennis, J, Wang, Q, Bolla, MK, Swerdlow, A, Ashworth, A, Orr, N, Schoemaker, M, Ko, Y-D, Brauch, H, Hamann, U, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Li, J, Brand, JS, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Lambrechts, D, Peuteman, G, Christiaens, M-R, Smeets, A, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Hartman, M, Hui, M, Lim, WY, Chan, CW, Marme, F, Yang, R, Bugert, P, Lindblom, A, Margolin, S, Garcia-Closas, M, Chanock, SJ, Lissowska, J, Figueroa, JD, Bojesen, SE, Nordestgaard, BG, Flyger, H, Hooning, MJ, Kriege, M, van den Ouweland, AMW, Koppert, LB, Fletcher, O, Johnson, N, dos-Santos-Silva, I, Peto, J, Zheng, W, Deming-Halverson, S, Shrubsole, MJ, Long, J, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Grip, M, Cox, A, Cross, SS, Reed, MWR, Schmidt, MK, Broeks, A, Cornelissen, S, Braaf, L, Kang, D, Choi, J-Y, Park, SK, Noh, D-Y, Simard, J, Dumont, M, Goldberg, MS, Labreche, F, Fasching, PA, Hein, A, Ekici, AB, Beckmann, MW, Radice, P, Peterlongo, P, Azzollini, J, Barile, M, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Hopper, JL, Schmidt, DF, Makalic, E, Southey, MC, Teo, SH, Yip, CH, Sivanandan, K, Tay, W-T, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Guenel, P, Therese, T, Sanchez, M, Mulot, C, Blot, W, Cai, Q, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Wu, AH, Tseng, C-C, Van den Berg, D, Stram, DO, Bogdanova, N, Doerk, T, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Couch, FJ, Toland, AE, Yannoukakos, D, Sangrajrang, S, McKay, J, Wang, X, Olson, JE, Vachon, C, Purrington, K, Severi, G, Baglietto, L, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Czene, K, Eriksson, M, Humphreys, K, Darabi, H, Ahmed, S, Shah, M, Pharoah, PDP, Hall, P, Giles, GG, Benitez, J, Dunning, AM, Chenevix-Trench, G, Easton, DF, Milne, RL, Burwinkel, B, Michailidou, K, Arias-Perez, J-I, Pilar Zamora, M, Menendez-Rodriguez, P, Hardisson, D, Mendiola, M, Gonzalez-Neira, A, Pita, G, Rosario Alonso, M, Dennis, J, Wang, Q, Bolla, MK, Swerdlow, A, Ashworth, A, Orr, N, Schoemaker, M, Ko, Y-D, Brauch, H, Hamann, U, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Matsuo, K, Ito, H, Iwata, H, Tajima, K, Li, J, Brand, JS, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Lambrechts, D, Peuteman, G, Christiaens, M-R, Smeets, A, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Hartman, M, Hui, M, Lim, WY, Chan, CW, Marme, F, Yang, R, Bugert, P, Lindblom, A, Margolin, S, Garcia-Closas, M, Chanock, SJ, Lissowska, J, Figueroa, JD, Bojesen, SE, Nordestgaard, BG, Flyger, H, Hooning, MJ, Kriege, M, van den Ouweland, AMW, Koppert, LB, Fletcher, O, Johnson, N, dos-Santos-Silva, I, Peto, J, Zheng, W, Deming-Halverson, S, Shrubsole, MJ, Long, J, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Winqvist, R, Pylkas, K, Jukkola-Vuorinen, A, Grip, M, Cox, A, Cross, SS, Reed, MWR, Schmidt, MK, Broeks, A, Cornelissen, S, Braaf, L, Kang, D, Choi, J-Y, Park, SK, Noh, D-Y, Simard, J, Dumont, M, Goldberg, MS, Labreche, F, Fasching, PA, Hein, A, Ekici, AB, Beckmann, MW, Radice, P, Peterlongo, P, Azzollini, J, Barile, M, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Hopper, JL, Schmidt, DF, Makalic, E, Southey, MC, Teo, SH, Yip, CH, Sivanandan, K, Tay, W-T, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Guenel, P, Therese, T, Sanchez, M, Mulot, C, Blot, W, Cai, Q, Nevanlinna, H, Muranen, TA, Aittomaki, K, Blomqvist, C, Wu, AH, Tseng, C-C, Van den Berg, D, Stram, DO, Bogdanova, N, Doerk, T, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Couch, FJ, Toland, AE, Yannoukakos, D, Sangrajrang, S, McKay, J, Wang, X, Olson, JE, Vachon, C, Purrington, K, Severi, G, Baglietto, L, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Czene, K, Eriksson, M, Humphreys, K, Darabi, H, Ahmed, S, Shah, M, Pharoah, PDP, Hall, P, Giles, GG, Benitez, J, Dunning, AM, Chenevix-Trench, G, and Easton, DF
Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.
Published: 2014

11. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium

Author: Agarwal, D, Pineda, S, Michailidou, K, Herranz, J, Pita, G, Moreno, LT, Alonso, MR, Dennis, J, Wang, Q, Bolla, MK, Meyer, KB, Menendez-Rodriguez, P, Hardisson, D, Mendiola, M, Gonzalez-Neira, A, Lindblom, A, Margolin, S, Swerdlow, A, Ashworth, A, Orr, N, Jones, M, Matsuo, K, Ito, H, Iwata, H, Kondo, N, Hartman, M, Hui, M, Lim, WY, Iau, PT-C, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Kang, D, Choi, J-Y, Park, SK, Noh, D-Y, Hopper, JL, Schmidt, DF, Makalic, E, Southey, MC, Teo, SH, Yip, CH, Sivanandan, K, Tay, W-T, Brauch, H, Bruening, T, Hamann, U, Dunning, AM, Shah, M, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Schmidt, MK, Broeks, A, Rosenberg, EH, van't Veer, LJ, Fasching, PA, Renner, SP, Ekici, AB, Beckmann, MW, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Blot, W, Cai, Q, Wu, AH, Tseng, C-C, Van Den Berg, D, Stram, DO, Cox, A, Brock, IW, Reed, MWR, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Zheng, W, Deming-Halverson, S, Shrubsole, MJ, Long, J, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Radice, P, Peterlongo, P, Manoukian, S, Mariette, F, Sangrajrang, S, Mckay, J, Couch, FJ, Toland, AE, Yannoukakos, D, Fletcher, O, Johnson, N, dos Santos Silva, I, Peto, J, Marme, F, Burwinkel, B, Guenel, P, Truong, T, Sanchez, M, Mulot, C, Bojesen, SE, Nordestgaard, BG, Flyer, H, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Lambrechts, D, Yesilyurt, BT, Floris, G, Leunen, K, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Wang, X, Olson, JE, Vachon, C, Purrington, K, Giles, GG, Severi, G, Baglietto, L, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Dumont, M, Goldberg, MS, Labreche, F, Winqvist, R, Pylkaes, K, Jukkola-Vuorinen, A, Grip, M, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Garcia-Closas, M, Chanock, SJ, Lissowska, J, Figueroa, JD, Czene, K, Eriksson, M, Humphreys, K, Darabi, H, Hooning, MJ, Kriege, M, Collee, JM, Tilanus-Linthorst, M, Li, J, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Nevanlinna, H, Muranen, TA, Aittomaeki, K, Blomqvist, C, Bogdanova, N, Doerk, T, Hall, P, Chenevix-Trench, G, Easton, DF, Pharoah, PDP, Arias-Perez, JI, Zamora, P, Benitez, J, Milne, RL, Agarwal, D, Pineda, S, Michailidou, K, Herranz, J, Pita, G, Moreno, LT, Alonso, MR, Dennis, J, Wang, Q, Bolla, MK, Meyer, KB, Menendez-Rodriguez, P, Hardisson, D, Mendiola, M, Gonzalez-Neira, A, Lindblom, A, Margolin, S, Swerdlow, A, Ashworth, A, Orr, N, Jones, M, Matsuo, K, Ito, H, Iwata, H, Kondo, N, Hartman, M, Hui, M, Lim, WY, Iau, PT-C, Sawyer, E, Tomlinson, I, Kerin, M, Miller, N, Kang, D, Choi, J-Y, Park, SK, Noh, D-Y, Hopper, JL, Schmidt, DF, Makalic, E, Southey, MC, Teo, SH, Yip, CH, Sivanandan, K, Tay, W-T, Brauch, H, Bruening, T, Hamann, U, Dunning, AM, Shah, M, Andrulis, IL, Knight, JA, Glendon, G, Tchatchou, S, Schmidt, MK, Broeks, A, Rosenberg, EH, van't Veer, LJ, Fasching, PA, Renner, SP, Ekici, AB, Beckmann, MW, Shen, C-Y, Hsiung, C-N, Yu, J-C, Hou, M-F, Blot, W, Cai, Q, Wu, AH, Tseng, C-C, Van Den Berg, D, Stram, DO, Cox, A, Brock, IW, Reed, MWR, Muir, K, Lophatananon, A, Stewart-Brown, S, Siriwanarangsan, P, Zheng, W, Deming-Halverson, S, Shrubsole, MJ, Long, J, Shu, X-O, Lu, W, Gao, Y-T, Zhang, B, Radice, P, Peterlongo, P, Manoukian, S, Mariette, F, Sangrajrang, S, Mckay, J, Couch, FJ, Toland, AE, Yannoukakos, D, Fletcher, O, Johnson, N, dos Santos Silva, I, Peto, J, Marme, F, Burwinkel, B, Guenel, P, Truong, T, Sanchez, M, Mulot, C, Bojesen, SE, Nordestgaard, BG, Flyer, H, Brenner, H, Dieffenbach, AK, Arndt, V, Stegmaier, C, Mannermaa, A, Kataja, V, Kosma, V-M, Hartikainen, JM, Lambrechts, D, Yesilyurt, BT, Floris, G, Leunen, K, Chang-Claude, J, Rudolph, A, Seibold, P, Flesch-Janys, D, Wang, X, Olson, JE, Vachon, C, Purrington, K, Giles, GG, Severi, G, Baglietto, L, Haiman, CA, Henderson, BE, Schumacher, F, Le Marchand, L, Simard, J, Dumont, M, Goldberg, MS, Labreche, F, Winqvist, R, Pylkaes, K, Jukkola-Vuorinen, A, Grip, M, Devilee, P, Tollenaar, RAEM, Seynaeve, C, Garcia-Closas, M, Chanock, SJ, Lissowska, J, Figueroa, JD, Czene, K, Eriksson, M, Humphreys, K, Darabi, H, Hooning, MJ, Kriege, M, Collee, JM, Tilanus-Linthorst, M, Li, J, Jakubowska, A, Lubinski, J, Jaworska-Bieniek, K, Durda, K, Nevanlinna, H, Muranen, TA, Aittomaeki, K, Blomqvist, C, Bogdanova, N, Doerk, T, Hall, P, Chenevix-Trench, G, Easton, DF, Pharoah, PDP, Arias-Perez, JI, Zamora, P, Benitez, J, and Milne, RL
Abstract: BACKGROUND: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium. METHODS: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression. RESULTS: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2. CONCLUSION: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
Published: 2014

12. GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition.

Author: Dozier, G., Purrington, K., Popplewell, K., Shelton, J., Abegaz, T., Bryant, K., Adams, J., Woodard, D.L., and Miller, P.
Published: 2011
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13. Discerning user-perceived media stream quality through application-layer measurements.

Author: Dalal, A.C. and Purrington, K.
Published: 2005
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14. NP-completeness of outcome optimization for partial cp-nets

Author: Purrington, K. and Edmund Durfee

15. Discerning user-perceived media stream quality through application-layer measurements

Author: Dalal, A.C., primary and Purrington, K., additional
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16. Efforts to Grow Genomic Research in Ancestrally Diverse and Admixed Populations.

Author: Schmit SL, Purrington K, and Figueiredo JC
Subjects: Female, Humans, Animals, Neoplasm Recurrence, Local, Mutation, Genomics, Hispanic or Latino genetics, Breast Neoplasms genetics, Breast Neoplasms pathology, Mammary Neoplasms, Animal
Abstract: Recent initiatives by the research community to characterize the genomic and molecular landscapes of tumors in ancestrally diverse and admixed populations, including the publication by Ding and colleagues in this issue of Cancer Research, represent important efforts to improve our understanding of the entire spectrum of cancer genomic variation with potential clinical consequences. Ding and colleagues confirmed a similar prevalence of mutations in established breast cancer driver genes including PIK3CA, TP53, GATA3, MAP3K1, CDH1, CBFB, PTEN, and RUNX1 and recurrent amplifications in breast cancer drivers including MYC, FGFR1, CCND1, and ERBB2 in tumors from Hispanic/Latina women as compared with non-Hispanic White women. Importantly, they also identified Catalogue of Somatic Mutations in Cancer (COSMIC) signature 16 in a significant fraction of tumors from Hispanic/Latina women and a novel recurrent amplification on 17q11.2. This study highlights the potential for inclusion of participants from diverse populations to accelerate discoveries and advance equity in genomic medicine, as well as the need for even larger collaborative initiatives. See related article by Ding et al., p. 2600., (©2023 American Association for Cancer Research.)
Published: 2023
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17. Predictors of nonadherence to breast cancer screening guidelines in a United States urban comprehensive cancer center.

Author: Wehbe A, Gonte MR, O'Neill SC, Amit-Yousif A, Purrington K, Manning M, and Simon MS
Subjects: Female, Humans, Early Detection of Cancer methods, Mammography methods, Mass Screening methods, Risk Factors, United States epidemiology, Breast Neoplasms diagnostic imaging, Breast Neoplasms epidemiology
Abstract: Background: This study aimed to identify predictors of nonadherence to breast cancer screening guidelines in an urban screening clinic among high- and average-risk women in the United States., Methods: We reviewed records of 6090 women who received ≥2 screening mammograms over 2 years at the Karmanos Cancer Institute to examine how breast cancer risk and breast density were associated with guideline-concordant screening. Incongruent screening was defined as receiving supplemental imaging between screening mammograms for average-risk women, and as not receiving recommended supplemental imaging for high-risk women. We used t-tests and chi-square tests to examine bivariate associations with guideline-congruent screening, and probit regression to regress guideline-congruence unto breast cancer risk, breast density, and their interaction, controlling for age and race., Results: Incongruent screening was more likely among high- versus average-risk women (97.7% vs. 0.9%, p < 0.01). Among average-risk women, incongruent screening was more likely among those with dense versus nondense breasts (2.0% vs. 0.1%, p < 0.01). Among high-risk women, incongruent screening was more likely among those with nondense versus dense breasts (99.5% vs. 95.2%, p < 0.01). The significant main effects of density and high-risk on increased incongruent screening were qualified by a density by high-risk interaction, showing a weaker association between risk and incongruent screening among women with dense breasts (simple slope = 3.71, p < 0.01) versus nondense breasts (simple slope = 5.79, p < 0.01). Age and race were not associated with incongruent screening., Conclusions: Lack of adherence to evidence-based screening guidelines has led to underutilization of supplementary imaging for high-risk women and potential overutilization for women with dense breasts without other risk factors., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
Published: 2023
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18. Association between major discrimination and deficit accumulation in African American cancer survivors: The Detroit Research on Cancer Survivors Study.

Author: Mandelblatt JS, Ruterbusch JJ, Thompson HS, Zhou X, Bethea TN, Adams-Campbell L, Purrington K, and Schwartz AG
Subjects: Adult, Aged, Female, Humans, Male, Middle Aged, Young Adult, Breast Neoplasms epidemiology, Breast Neoplasms ethnology, Breast Neoplasms physiopathology, Surveys and Questionnaires, Michigan epidemiology, Aging ethnology, Aging physiology, Black or African American statistics & numerical data, Cancer Survivors, Neoplasms epidemiology, Neoplasms ethnology, Neoplasms physiopathology, Racism ethnology, Racism statistics & numerical data, Social Determinants of Health ethnology, Social Determinants of Health statistics & numerical data
Abstract: Background: Discrimination can adversely affect health and accelerate aging, but little is known about these relationships in cancer survivors. This study examines associations of discrimination and aging among self-identified African American survivors., Methods: A population-based sample of 2232 survivors 20-79 years old at diagnosis were enrolled within 5 years of breast (n = 787), colorectal (n = 227), lung (n = 223), or prostate (n = 995) cancer between 2017 and 2022. Surveys were completed post-active therapy. A deficit accumulation index measured aging-related disease and function (score range, 0-1, where <0.20 is robust, 0.20 to <0.35 is pre-frail, and 0.35+ is frail; 0.06 is a large clinically meaningful difference). The discrimination scale assessed ever experiencing major discrimination and seven types of events (score, 0-7). Linear regression tested the association of discrimination and deficit accumulation, controlling for age, time from diagnosis, cancer type, stage and therapy, and sociodemographic variables., Results: Survivors were an average of 62 years old (SD, 9.6), 63.2% reported ever experiencing major discrimination, with an average of 2.4 (SD, 1.7) types of discrimination events. Only 24.4% had deficit accumulation scores considered robust (mean score, 0.30 [SD, 0.13]). Among those who reported ever experiencing major discrimination, survivors with four to seven types of discrimination events (vs. 0-1) had a large, clinically meaningful increase in adjusted deficits (0.062, p < .001) and this pattern was consistent across cancer types., Conclusion: African American cancer survivors have high deficit accumulated index scores, and experiences of major discrimination were positively associated with these deficits. Future studies are needed to understand the intersectionality between aging, discrimination, and cancer survivorship among diverse populations., (© 2023 American Cancer Society.)
Published: 2023
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19. Moderators of the effects of perceived racism and discrimination on cancer-related health behaviors among two samples of African Americans.

Author: Manning M, Lucas T, Purrington K, Thompson H, Albrecht TL, and Penner L
Subjects: Humans, Female, Black or African American, Health Behavior, Michigan, Racism psychology, Neoplasms
Abstract: Background: Assumptions regarding within-race variation in the associations between measures of discrimination racism and health-related behaviors among African Americans have been largely unexplored., Methods: We conducted secondary analyses of two studies to examine support for a model which describes several theoretical moderators of the effects of discrimination and racism on health behaviors. The first study examined the effects of group-based behavioral information and racial identity on the association between perceived racism and requests for at home colorectal cancer screening tests among a sample of 205 geographically diverse African Americans who participated in an online experiment from 2019 to 2020., Results: Group-based behavioral information attenuated the association between perceived racism and requests for at-home screening kit. In the absence of group-based behavioral information, perceived racism was positively associated with screening kit requests for African Americans with weaker racial identity and negatively associated with requests for African Americans with stronger racial identity. The second study examined the influence of personal and group-based perceived discrimination, and behavior-relevant affective information related to a breast cancer risk notification, on 89 Michigan dwelling African American women's self-reported physician communication from 2015 to 2016. Results showed that perceived group-based discrimination was positively associated with physician communication in the absence of negative affective information, and perceived personal discrimination was negatively associated with physician communication as positive affective information increased., Conclusions: Together, these results support our theoretical model highlighting variation in the effects of discrimination and racism on health behaviors among African Americans, and indicates group-relevant behavioral information, racial identity, behavior relevant affective information, and target of discrimination as moderators of the effect. Implications for conceptualizing the effects of racism and discrimination and for examining racially targeted interventions are discussed., Competing Interests: Declaration of competing interest The authors declare no conflicts of interest., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
Published: 2023
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20. Genome-wide interaction analysis identified low-frequency variants with sex disparity in lung cancer risk.

Author: Li Y, Xiao X, Li J, Byun J, Cheng C, Bossé Y, McKay J, Albanes D, Lam S, Tardon A, Chen C, Bojesen SE, Landi MT, Johansson M, Risch A, Bickeböller H, Wichmann HE, Christiani DC, Rennert G, Arnold S, Goodman G, Field JK, Davies MPA, Shete SS, Le Marchand L, Melander O, Brunnström H, Liu G, Hung RJ, Andrew AS, Kiemeney LA, Shen H, Sun R, Zienolddiny S, Grankvist K, Johansson M, Caporaso N, Teare DM, Hong YC, Lazarus P, Schabath MB, Aldrich MC, Schwartz AG, Gorlov I, Purrington K, Yang P, Liu Y, Han Y, Bailey-Wilson JE, Pinney SM, Mandal D, Willey JC, Gaba C, Brennan P, and Amos CI
Subjects: Case-Control Studies, Female, Genetic Predisposition to Disease, Humans, Lung, Male, Polymorphism, Single Nucleotide genetics, Genome-Wide Association Study, Lung Neoplasms epidemiology, Lung Neoplasms genetics
Abstract: Differences by sex in lung cancer incidence and mortality have been reported which cannot be fully explained by sex differences in smoking behavior, implying existence of genetic and molecular basis for sex disparity in lung cancer development. However, the information about sex dimorphism in lung cancer risk is quite limited despite the great success in lung cancer association studies. By adopting a stringent two-stage analysis strategy, we performed a genome-wide gene-sex interaction analysis using genotypes from a lung cancer cohort including ~ 47 000 individuals with European ancestry. Three low-frequency variants (minor allele frequency < 0.05), rs17662871 [odds ratio (OR) = 0.71, P = 4.29×10-8); rs79942605 (OR = 2.17, P = 2.81×10-8) and rs208908 (OR = 0.70, P = 4.54×10-8) were identified with different risk effect of lung cancer between men and women. Further expression quantitative trait loci and functional annotation analysis suggested rs208908 affects lung cancer risk through differential regulation of Coxsackie virus and adenovirus receptor gene expression in lung tissues between men and women. Our study is one of the first studies to provide novel insights about the genetic and molecular basis for sex disparity in lung cancer development., (© The Author(s) 2022. Published by Oxford University Press.)
Published: 2022
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21. Physicians' perceptions of breast density notification laws and appropriate patient follow-up.

Author: Manning M, O'Neill S, and Purrington K
Subjects: Breast Density, Early Detection of Cancer, Female, Follow-Up Studies, Humans, Male, Mammography, Perception, Breast Neoplasms diagnostic imaging, Physicians
Abstract: Breast density notification laws have been adopted in the absence of consistent guidelines for post-notification follow-up. This can lead to inconsistent and potentially deficient management of women's health due to inconsistent physician practices. We examined physicians' knowledge and practices regarding follow-up for patients who receive density notifications. Physicians who referred patients to a Michigan hospital network for screening mammograms were recruited to participate in survey study; 105 (29.8%) responded. The survey assessed physicians' demographics, knowledge, and awareness of breast density and breast cancer risk and of density notification laws, and perceptions of appropriate follow-up behaviors for their patients who received density notifications. Most physicians (75%) knew about the notification law, and they were generally comfortable responding to breast density questions and deciding on follow-up. Most indicated that additional breast imaging (68.0%), followed by assessing breast cancer risk (24.7%) were appropriate follow-up responses. Physicians who performed breast cancer risk assessments, and who were more comfortable with breast density questions and follow-up decision making, were more likely to propose additional imaging. Male physicians were less likely to propose assessing breast cancer risk, and less likely to propose clinical and/or breast self-examinations. Divergence between practice and guidelines when it comes to supplemental breast cancer screening, coupled with density notification language that promotes additional screening in the absence of consistent evidence, remains concerning. Improved understanding of how density notification recipients and their physicians make decisions about supplemental screening is warranted to ensure that breast cancer risk is properly considered., (© 2021 Wiley Periodicals LLC.)
Published: 2021
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22. Between-Race Differences in Processes Predicting Physician Communication for African American and European American Recipients of Breast Density Notifications.

Author: Manning M, Albrecht TL, Penner L, and Purrington K
Subjects: Decision Making, Female, Humans, Black or African American psychology, Breast Density, Early Detection of Cancer psychology, Physician-Patient Relations, White People psychology
Abstract: Background: Breast density notification laws mandate reporting of dense breast to applicable women. The same psychological and systemic barriers that yield between-race differences in mammography use will probably yield between-race differences in women's psychological and behavioral responses to breast density notifications., Purpose: We used the theory of planned behavior as a framework to examine between-race differences in the likelihood of following-up with physicians after receiving breast density notifications and to examine differences in African American and Caucasian American women's behavioral decision-making processes., Methods: A subset of 212 African American and Caucasian American women who participated in an initial and follow-up survey examining responses to breast density notifications were examined for this study. Participants reported background and demographic measures, psychological responses to receiving notifications, and planned behavior measures related to following up with physicians approximately 2 weeks after receiving their mammogram reports. Participants self-reported their behaviors 3 months later., Results: There were no between-race differences in self-reported physician communication; however, there were differences in processes that predicted behavior. For Caucasian American women, behavioral intentions, education, and income predicted behaviors. Instead of intentions, group-based medical suspicion, confusion, breast cancer worry, and breast density anxiety predicted behaviors for African American women., Conclusions: Behavioral decision-making processes for Caucasian American women were in line with well-validated theoretical predictions. For African American women, race-related medical suspicion, prior breast density awareness, and emotional responses to breast density notifications predicted behavior. The results highlight the need to focus on racially distinct psychological targets when designing interventions to support guideline concordant behavioral decisions among women who receive breast density notifications., (© Society of Behavioral Medicine 2018. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
Published: 2019
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23. Profiling the Mutational Landscape in Known Driver Genes and Novel Genes in African American Non-Small Cell Lung Cancer Patients.

Author: Lusk CM, Watza D, Dyson G, Craig D, Ratliff V, Wenzlaff AS, Lonardo F, Bollig-Fischer A, Bepler G, Purrington K, Gadgeel S, and Schwartz AG
Subjects: Carcinoma, Non-Small-Cell Lung pathology, DNA Mutational Analysis, Gene Expression Profiling, High-Throughput Nucleotide Sequencing, Humans, Lung Neoplasms pathology, Male, Middle Aged, Molecular Targeted Therapy, Prognosis, Survival Rate, Black or African American genetics, Carcinoma, Non-Small-Cell Lung genetics, Genes, Neoplasm, Lung Neoplasms genetics, Mutation
Abstract: Purpose: Identifying novel driver genes and mutations in African American non-small cell lung cancer (NSCLC) cases can inform targeted therapy and improve outcomes for this traditionally underrepresented population., Experimental Design: Tumor DNA, RNA, and germline DNA were collected from African American NSCLC patients who participated in research conducted at the Karmanos Cancer Institute (KCI) in Detroit, Michigan. Known mutations were ascertained through the Sequenom LungCarta panel of 214 mutations in 26 genes, RET/ROS1 fusions, amplification of FGFR1 , and expression of ALK. Paired tumor and normal DNA was whole-exome sequenced for a subset of cases without known driver mutations., Results: Of the 193 tumors tested, 77 known driver mutations were identified in 66 patients (34.2%). Sixty-seven of the 127 patients without a known driver mutation were sequenced. In 54 of these patients, 50 nonsynonymous mutations were predicted to have damaging effects among the 26 panel genes, 47 of which are not found in The Cancer Genome Atlas NSCLC white or African American samples. Analyzing the whole-exome sequence data using MutSig2CV identified a total of 88 genes significantly mutated at FDR q < 0.1. Only 5 of these genes were previously reported as oncogenic., Conclusions: These findings suggest that broader mutation profiling including both known and novel driver genes in African Americans with NSCLC will identify additional mutations that may be useful in treatment decision-making., (©2019 American Association for Cancer Research.)
Published: 2019
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24. Between-Race Differences in Supplemental Breast Cancer Screening Before and After Breast Density Notification Law.

Author: Manning M, Albrecht TL, O'Neill S, and Purrington K
Subjects: Adult, Black or African American statistics & numerical data, Cancer Care Facilities, Databases, Factual, Female, Humans, Incidence, Mammography methods, Mass Screening legislation & jurisprudence, Michigan, Middle Aged, Retrospective Studies, Risk Assessment, Breast Density ethnology, Breast Neoplasms diagnostic imaging, Cell Transformation, Neoplastic pathology, Early Detection of Cancer statistics & numerical data, Mammography statistics & numerical data
Abstract: Guidelines recommend supplemental breast cancer screening for women at increased breast cancer risk; however, the passage of breast density notification laws may lead to supplemental screening that is incongruent with women's risk. We examined supplemental screening (ie, MRI, ultrasound, or tomosynthesis within 6 months of screening mammogram) among a sample of 2,764 African American (AA) and 691 European American (EA) women with negative or benign screening mammograms for whom we had data from both before and after implementation of breast density notification laws in the state of Michigan. Results indicated a 5-fold increase (from 0.14% to 0.7% of women) in supplemental screening among screen-negative women after passage of the law, driven in large part by an increase in supplemental screening among AA women. Breast density was more predictive of supplemental screening and had a marginally greater explanatory role in between-race differences in supplemental screening after passage of the law. Subgroup analyses (n = 250) indicated that whereas 5-year breast cancer risk was positively associated with supplemental screening before the law and negatively associated after the law for EA women, 5-year risk was not associated with supplemental screening either before or after passage of the law for AA women. Our findings suggest that whereas passage of the breast density notification laws may have motivated supplemental screening among AA women in particular, it lessened the consideration of breast cancer risk in supplemental screening decision making., (Copyright © 2018. Published by Elsevier Inc.)
Published: 2019
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25. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes.

Author: Mavaddat N, Michailidou K, Dennis J, Lush M, Fachal L, Lee A, Tyrer JP, Chen TH, Wang Q, Bolla MK, Yang X, Adank MA, Ahearn T, Aittomäki K, Allen J, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Auer PL, Auvinen P, Barrdahl M, Beane Freeman LE, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Bernstein L, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Børresen-Dale AL, Brauch H, Bremer M, Brenner H, Brentnall A, Brock IW, Brooks-Wilson A, Brucker SY, Brüning T, Burwinkel B, Campa D, Carter BD, Castelao JE, Chanock SJ, Chlebowski R, Christiansen H, Clarke CL, Collée JM, Cordina-Duverger E, Cornelissen S, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Devilee P, Dörk T, Dos-Santos-Silva I, Dumont M, Durcan L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Ellberg C, Engel C, Eriksson M, Evans DG, Fasching PA, Figueroa J, Fletcher O, Flyger H, Försti A, Fritschi L, Gabrielson M, Gago-Dominguez M, Gapstur SM, García-Sáenz JA, Gaudet MM, Georgoulias V, Giles GG, Gilyazova IR, Glendon G, Goldberg MS, Goldgar DE, González-Neira A, Grenaker Alnæs GI, Grip M, Gronwald J, Grundy A, Guénel P, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hamann U, Hankinson SE, Harkness EF, Hart SN, He W, Hein A, Heyworth J, Hillemanns P, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Howell A, Huang G, Humphreys K, Hunter DJ, Jakimovska M, Jakubowska A, Janni W, John EM, Johnson N, Jones ME, Jukkola-Vuorinen A, Jung A, Kaaks R, Kaczmarek K, Kataja V, Keeman R, Kerin MJ, Khusnutdinova E, Kiiski JI, Knight JA, Ko YD, Kosma VM, Koutros S, Kristensen VN, Krüger U, Kühl T, Lambrechts D, Le Marchand L, Lee E, Lejbkowicz F, Lilyquist J, Lindblom A, Lindström S, Lissowska J, Lo WY, Loibl S, Long J, Lubiński J, Lux MP, MacInnis RJ, Maishman T, Makalic E, Maleva Kostovska I, Mannermaa A, Manoukian S, Margolin S, Martens JWM, Martinez ME, Mavroudis D, McLean C, Meindl A, Menon U, Middha P, Miller N, Moreno F, Mulligan AM, Mulot C, Muñoz-Garzon VM, Neuhausen SL, Nevanlinna H, Neven P, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, Offit K, Olson JE, Olsson H, Orr N, Pankratz VS, Park-Simon TW, Perez JIA, Pérez-Barrios C, Peterlongo P, Peto J, Pinchev M, Plaseska-Karanfilska D, Polley EC, Prentice R, Presneau N, Prokofyeva D, Purrington K, Pylkäs K, Rack B, Radice P, Rau-Murthy R, Rennert G, Rennert HS, Rhenius V, Robson M, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt DF, Schmutzler RK, Schneeweiss A, Schoemaker MJ, Schumacher F, Schürmann P, Schwentner L, Scott C, Scott RJ, Seynaeve C, Shah M, Sherman ME, Shrubsole MJ, Shu XO, Slager S, Smeets A, Sohn C, Soucy P, Southey MC, Spinelli JJ, Stegmaier C, Stone J, Swerdlow AJ, Tamimi RM, Tapper WJ, Taylor JA, Terry MB, Thöne K, Tollenaar RAEM, Tomlinson I, Truong T, Tzardi M, Ulmer HU, Untch M, Vachon CM, van Veen EM, Vijai J, Weinberg CR, Wendt C, Whittemore AS, Wildiers H, Willett W, Winqvist R, Wolk A, Yang XR, Yannoukakos D, Zhang Y, Zheng W, Ziogas A, Dunning AM, Thompson DJ, Chenevix-Trench G, Chang-Claude J, Schmidt MK, Hall P, Milne RL, Pharoah PDP, Antoniou AC, Chatterjee N, Kraft P, García-Closas M, Simard J, and Easton DF
Subjects: Adult, Age Factors, Aged, Aged, 80 and over, Breast Neoplasms diagnosis, Breast Neoplasms prevention & control, Female, Humans, Medical History Taking, Middle Aged, Polymorphism, Single Nucleotide genetics, Receptors, Estrogen metabolism, Reproducibility of Results, Risk Assessment, Breast Neoplasms classification, Breast Neoplasms genetics, Genetic Predisposition to Disease, Multifactorial Inheritance genetics
Abstract: Stratification of women according to their risk of breast cancer based on polygenic risk scores (PRSs) could improve screening and prevention strategies. Our aim was to develop PRSs, optimized for prediction of estrogen receptor (ER)-specific disease, from the largest available genome-wide association dataset and to empirically validate the PRSs in prospective studies. The development dataset comprised 94,075 case subjects and 75,017 control subjects of European ancestry from 69 studies, divided into training and validation sets. Samples were genotyped using genome-wide arrays, and single-nucleotide polymorphisms (SNPs) were selected by stepwise regression or lasso penalized regression. The best performing PRSs were validated in an independent test set comprising 11,428 case subjects and 18,323 control subjects from 10 prospective studies and 190,040 women from UK Biobank (3,215 incident breast cancers). For the best PRSs (313 SNPs), the odds ratio for overall disease per 1 standard deviation in ten prospective studies was 1.61 (95%CI: 1.57-1.65) with area under receiver-operator curve (AUC) = 0.630 (95%CI: 0.628-0.651). The lifetime risk of overall breast cancer in the top centile of the PRSs was 32.6%. Compared with women in the middle quintile, those in the highest 1% of risk had 4.37- and 2.78-fold risks, and those in the lowest 1% of risk had 0.16- and 0.27-fold risks, of developing ER-positive and ER-negative disease, respectively. Goodness-of-fit tests indicated that this PRS was well calibrated and predicts disease risk accurately in the tails of the distribution. This PRS is a powerful and reliable predictor of breast cancer risk that may improve breast cancer prevention programs., (Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2019
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26. The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the Women's Health Initiative observational study.

Author: Bock CH, Jay AM, Dyson G, Beebe-Dimmer JL, Cote ML, Hou L, Howard BV, Desai P, Purrington K, Prentice R, and Simon MS
Subjects: Aged, Anticholesteremic Agents administration & dosage, Anticholesteremic Agents adverse effects, Breast Neoplasms genetics, Breast Neoplasms pathology, Cholesterol metabolism, Female, Genome-Wide Association Study, Humans, Hydroxymethylglutaryl-CoA Reductase Inhibitors adverse effects, Middle Aged, Polymorphism, Single Nucleotide genetics, Postmenopause, Risk Assessment, Risk Factors, Women's Health, Breast Neoplasms drug therapy, Cholesterol genetics, Genetic Predisposition to Disease, Hydroxymethylglutaryl-CoA Reductase Inhibitors administration & dosage
Abstract: Purpose: Statins have been postulated to have chemopreventive activity against breast cancer. We evaluated whether germline genetic polymorphisms modified the relationship between statins and breast cancer risk using data from the Women's Health Initiative. We evaluated these interactions using both candidate gene and agnostic genome-wide approaches., Methods: To identify candidate gene-statin interactions, we tested interactions between 22 SNPS in nine candidate genes implicated in the effect of statins on lipid metabolism in 1687 cases and 1687 controls. We then evaluated statin use interaction with the remaining 30,380 SNPs available in this sample from the CGEMS GWAS study., Results: After adjusting for multiple comparisons, no SNP interactions with statin usage and risk of breast cancer were statistically significant in either the candidate genes or genome-wide approaches., Conclusions: We found no evidence of SNP interactions with statin usage for breast cancer risk in a population of 3374 individuals. These results suggest that genome-wide common genetic variants do not moderate the association between statin usage and breast cancer in the population of women in the Women's Health Initiative.
Published: 2018
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27. Explaining between-race differences in African-American and European-American women's responses to breast density notification.

Author: Manning M, Albrecht TL, Yilmaz-Saab Z, Penner L, Norman A, and Purrington K
Subjects: Black or African American statistics & numerical data, Breast Neoplasms ethnology, Communication, Female, Health Knowledge, Attitudes, Practice ethnology, Humans, Intention, Mammography, Michigan, Physician-Patient Relations, Social Class, White People statistics & numerical data, Black or African American psychology, Attitude to Health ethnology, Breast Density ethnology, White People psychology
Abstract: Background: Prior research shows between-race differences in women's knowledge and emotions related to having dense breasts, thus suggesting that between-race differences in behavioral decision-making following receipt of breast density (BD) notifications are likely. Guided by the theory of planned behavior, this study examined differences in emotion-related responses (i.e., anxiety, worry, confusion) and behavioral cognition (e.g., intentions, behavioral attitudes) following receipt of BD notifications among African American (AA) and European American (EA) women. This study also examined whether race-related perceptions (i.e., discrimination, group-based medical mistrust), relevant knowledge and socioeconomic status (SES) explained the between race differences., Method: Michigan women (N = 457) who presented for routine screening mammogram and had dense breasts, no prior breast cancer diagnoses, and had screen-negative mammograms were recruited from July, 2015 to March 2016. MANOVA was used to examine between race differences in psychological responses (i.e., emotional responses and behavioral cognition), and a multi-group structural regression model was used to examine whether race-related constructs, knowledge and SES mediated the effect of race on emotional responses and behavioral cognition. Prior awareness of BD was accounted for in all analyses., Results: AA women generally reported more negative psychological responses to receiving BD notifications regardless of prior BD awareness. AA women had more favorable perceptions related to talking to their physicians about the BD notifications. Generally, race-related perceptions, SES, and related knowledge partially accounted for the effect of race on psychological response. Race-related perceptions and SES partially accounted for the differences in behavioral intentions. Between-race differences in emotional responses to BD notifications did not explain differences in women's intentions to discuss BD notifications with their physicians., Conclusions: Future examinations are warranted to examine whether there are between-race differences in actual post-BD notification behaviors and whether similar race-related variables account for differences., (Copyright © 2017. Published by Elsevier Ltd.)
Published: 2017
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28. Influences of race and breast density on related cognitive and emotion outcomes before mandated breast density notification.

Author: Manning M, Albrecht TL, Yilmaz-Saab Z, Shultz J, and Purrington K
Subjects: Adult, Anxiety ethnology, Anxiety etiology, Black People ethnology, Black People psychology, Black People statistics & numerical data, Breast Neoplasms ethnology, Early Detection of Cancer methods, Female, Health Literacy standards, Humans, Logistic Models, Mass Screening methods, Michigan ethnology, Perception, Psychometrics instrumentation, Psychometrics methods, Racial Groups ethnology, Surveys and Questionnaires, White People ethnology, White People psychology, White People statistics & numerical data, Black or African American, Breast Density ethnology, Breast Neoplasms psychology, Early Detection of Cancer psychology, Health Knowledge, Attitudes, Practice, Racial Groups psychology
Abstract: Rationale: Many states have adopted laws mandating breast density (BD) notification for applicable women; however, very little is known about what women knew or felt about BD and related breast cancer (BC) risk before implementation of BD notification laws., Objective: We examined between-race differences in the extent to which having dense breasts was associated with women's related BD cognition and emotion, and with health care providers' communication about BD., Methods: We received surveys between May and October of 2015 assessing health care provider (HCP) communication about BD, BD-related knowledge, BD-related anxiety and BC worry from 182 African American (AA) and 113 European American (EA) women in the state of Michigan for whom we had radiologists' assessments of BD., Results: Whereas having dense breasts was not associated with any BD-related cognition or emotion, there were robust effects of race as follows: EA women were more likely to have been told about BD by a HCP, more likely to know their BD status, had greater knowledge of BD and of BC risk, and had greater perceptions of BC risk and worry; AA women had greater BD-related anxieties. EA women's greater knowledge of their own BD status was directly related to the increased likelihood of HCP communication about BD. However, HCP communication about BD attenuated anxiety for AA women only., Conclusion: We present the only data of which we are aware that examines between-race differences in the associations between actual BD, HCP communication and BD related cognition and emotion before the implementation of BD notification laws. Our findings suggest that the BD notification laws could yield positive benefits for disparities in BD-related knowledge and anxiety when the notifications are followed by discussions with health care providers., (Copyright © 2016 Elsevier Ltd. All rights reserved.)
Published: 2016
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29. Between-race differences in the effects of breast density information and information about new imaging technology on breast-health decision-making.

Author: Manning M, Purrington K, Penner L, Duric N, and Albrecht TL
Subjects: Adult, Breast Neoplasms diagnosis, Breast Neoplasms psychology, Densitometry, Female, Health Knowledge, Attitudes, Practice, Humans, Intention, Process Assessment, Health Care, Black or African American psychology, Attitude to Health ethnology, Breast Density, Breast Neoplasms diagnostic imaging, Decision Making, White People psychology
Abstract: Objectives: Some US states have mandated that women be informed when they have dense breasts; however, little is known about how general knowledge about breast density (BD) affects related health decision-making. We examined the effects of BD information and imaging technology information on 138 African-American (AA) and European-American (EA) women's intentions to discuss breast cancer screening with their physicians., Methods: Women were randomly assigned to receive BD information and/or imaging technology information via 2 by 2 factorial design, and completed planned behavior measures (e.g., attitudes, intentions) related to BC screening., Results: Attitudes mediated the effects of BD information, and the mediation was stronger for AA women compared to EA women. Effects were more robust for BD information compared to imaging technology information. Results of moderator analyses revealed suppressor effects of injunctive norms that were moderated by imaging technology information., Conclusion: Information about BD favorably influences women's intentions to engage in relevant breast health behaviors. Stronger attitude mediated-effects for AA women suggest greater scrutiny of BD information., Practice Implications: Since BD information may influence women's intentions to discuss BC screening, strategies to effectively present BD information to AA women should be investigated given the likelihood of their increased scrutiny of BD information., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)
Published: 2016
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30. Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures.

Author: Stone J, Thompson DJ, Dos Santos Silva I, Scott C, Tamimi RM, Lindstrom S, Kraft P, Hazra A, Li J, Eriksson L, Czene K, Hall P, Jensen M, Cunningham J, Olson JE, Purrington K, Couch FJ, Brown J, Leyland J, Warren RM, Luben RN, Khaw KT, Smith P, Wareham NJ, Jud SM, Heusinger K, Beckmann MW, Douglas JA, Shah KP, Chan HP, Helvie MA, Le Marchand L, Kolonel LN, Woolcott C, Maskarinec G, Haiman C, Giles GG, Baglietto L, Krishnan K, Southey MC, Apicella C, Andrulis IL, Knight JA, Ursin G, Alnaes GI, Kristensen VN, Borresen-Dale AL, Gram IT, Bolla MK, Wang Q, Michailidou K, Dennis J, Simard J, Pharoah P, Dunning AM, Easton DF, Fasching PA, Pankratz VS, Hopper JL, and Vachon CM
Subjects: Aged, Breast Density, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Disease Susceptibility, Female, Genetic Predisposition to Disease, Genotype, Humans, Mammary Glands, Human pathology, Middle Aged, Polymorphism, Single Nucleotide, Risk Factors, Breast Neoplasms pathology, Mammary Glands, Human abnormalities
Abstract: Mammographic density measures adjusted for age and body mass index (BMI) are heritable predictors of breast cancer risk, but few mammographic density-associated genetic variants have been identified. Using data for 10,727 women from two international consortia, we estimated associations between 77 common breast cancer susceptibility variants and absolute dense area, percent dense area and absolute nondense area adjusted for study, age, and BMI using mixed linear modeling. We found strong support for established associations between rs10995190 (in the region of ZNF365), rs2046210 (ESR1), and rs3817198 (LSP1) and adjusted absolute and percent dense areas (all P < 10(-5)). Of 41 recently discovered breast cancer susceptibility variants, associations were found between rs1432679 (EBF1), rs17817449 (MIR1972-2: FTO), rs12710696 (2p24.1), and rs3757318 (ESR1) and adjusted absolute and percent dense areas, respectively. There were associations between rs6001930 (MKL1) and both adjusted absolute dense and nondense areas, and between rs17356907 (NTN4) and adjusted absolute nondense area. Trends in all but two associations were consistent with those for breast cancer risk. Results suggested that 18% of breast cancer susceptibility variants were associated with at least one mammographic density measure. Genetic variants at multiple loci were associated with both breast cancer risk and the mammographic density measures. Further understanding of the underlying mechanisms at these loci could help identify etiologic pathways implicated in how mammographic density predicts breast cancer risk., (©2015 American Association for Cancer Research.)
Published: 2015
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31. Inherited variants in the inner centromere protein (INCENP) gene of the chromosomal passenger complex contribute to the susceptibility of ER-negative breast cancer.

Author: Kabisch M, Lorenzo Bermejo J, Dünnebier T, Ying S, Michailidou K, Bolla MK, Wang Q, Dennis J, Shah M, Perkins BJ, Czene K, Darabi H, Eriksson M, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Lambrechts D, Neven P, Peeters S, Weltens C, Couch FJ, Olson JE, Wang X, Purrington K, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Peto J, dos-Santos-Silva I, Johnson N, Fletcher O, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Schmidt MK, Broeks A, Cornelissen S, Hogervorst FB, Li J, Brand JS, Humphreys K, Guénel P, Truong T, Menegaux F, Sanchez M, Burwinkel B, Marmé F, Yang R, Bugert P, González-Neira A, Benitez J, Pilar Zamora M, Arias Perez JI, Cox A, Cross SS, Reed MW, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Haiman CA, Schumacher F, Henderson BE, Le Marchand L, Lindblom A, Margolin S, Hooning MJ, Hollestelle A, Kriege M, Koppert LB, Hopper JL, Southey MC, Tsimiklis H, Apicella C, Slettedahl S, Toland AE, Vachon C, Yannoukakos D, Giles GG, Milne RL, McLean C, Fasching PA, Ruebner M, Ekici AB, Beckmann MW, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Ashworth A, Orr N, Schoemaker MJ, Swerdlow A, García-Closas M, Figueroa J, Chanock SJ, Lissowska J, Goldberg MS, Labrèche F, Dumont M, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Brauch H, Brüning T, Ko YD, Radice P, Peterlongo P, Scuvera G, Fortuzzi S, Bogdanova N, Dörk T, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Devilee P, Tollenaar RA, Seynaeve C, Van Asperen CJ, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Zheng W, Shrubsole MJ, Cai Q, Torres D, Anton-Culver H, Kristensen V, Bacot F, Tessier DC, Vincent D, Luccarini C, Baynes C, Ahmed S, Maranian M, Simard J, Chenevix-Trench G, Hall P, Pharoah PD, Dunning AM, Easton DF, and Hamann U
Subjects: 3' Untranslated Regions genetics, Aurora Kinase B genetics, Breast Neoplasms genetics, Breast Neoplasms pathology, Case-Control Studies, Cell Cycle Proteins genetics, Female, Genome-Wide Association Study, Humans, Inhibitor of Apoptosis Proteins genetics, Polymorphism, Single Nucleotide, Risk, Survivin, White People genetics, Chromosomal Proteins, Non-Histone genetics, Genetic Predisposition to Disease, Receptors, Estrogen metabolism
Abstract: The chromosomal passenger complex (CPC) plays a pivotal role in the regulation of cell division. Therefore, inherited CPC variability could influence tumor development. The present candidate gene approach investigates the relationship between single nucleotide polymorphisms (SNPs) in genes encoding key CPC components and breast cancer risk. Fifteen SNPs in four CPC genes (INCENP, AURKB, BIRC5 and CDCA8) were genotyped in 88 911 European women from 39 case-control studies of the Breast Cancer Association Consortium. Possible associations were investigated in fixed-effects meta-analyses. The synonymous SNP rs1675126 in exon 7 of INCENP was associated with overall breast cancer risk [per A allele odds ratio (OR) 0.95, 95% confidence interval (CI) 0.92-0.98, P = 0.007] and particularly with estrogen receptor (ER)-negative breast tumors (per A allele OR 0.89, 95% CI 0.83-0.95, P = 0.0005). SNPs not directly genotyped were imputed based on 1000 Genomes. The SNPs rs1047739 in the 3' untranslated region and rs144045115 downstream of INCENP showed the strongest association signals for overall (per T allele OR 1.03, 95% CI 1.00-1.06, P = 0.0009) and ER-negative breast cancer risk (per A allele OR 1.06, 95% CI 1.02-1.10, P = 0.0002). Two genotyped SNPs in BIRC5 were associated with familial breast cancer risk (top SNP rs2071214: per G allele OR 1.12, 95% CI 1.04-1.21, P = 0.002). The data suggest that INCENP in the CPC pathway contributes to ER-negative breast cancer susceptibility in the European population. In spite of a modest contribution of CPC-inherited variants to the total burden of sporadic and familial breast cancer, their potential as novel targets for breast cancer treatment should be further investigated., (© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2015
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32. Identification and characterization of novel associations in the CASP8/ALS2CR12 region on chromosome 2 with breast cancer risk.

Author: Lin WY, Camp NJ, Ghoussaini M, Beesley J, Michailidou K, Hopper JL, Apicella C, Southey MC, Stone J, Schmidt MK, Broeks A, Van't Veer LJ, Th Rutgers EJ, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Fasching PA, Haeberle L, Ekici AB, Beckmann MW, Peto J, Dos-Santos-Silva I, Fletcher O, Johnson N, Bolla MK, Wang Q, Dennis J, Sawyer EJ, Cheng T, Tomlinson I, Kerin MJ, Miller N, Marmé F, Surowy HM, Burwinkel B, Guénel P, Truong T, Menegaux F, Mulot C, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Benitez J, Zamora MP, Arias Perez JI, Menéndez P, González-Neira A, Pita G, Alonso MR, Alvarez N, Herrero D, Anton-Culver H, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Meindl A, Lichtner P, Schmutzler RK, Müller-Myhsok B, Brauch H, Brüning T, Ko YD, Tessier DC, Vincent D, Bacot F, Nevanlinna H, Aittomäki K, Blomqvist C, Khan S, Matsuo K, Ito H, Iwata H, Horio A, Bogdanova NV, Antonenkova NN, Dörk T, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Wu AH, Tseng CC, Van Den Berg D, Stram DO, Neven P, Wauters E, Wildiers H, Lambrechts D, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Radice P, Peterlongo P, Manoukian S, Bonanni B, Couch FJ, Wang X, Vachon C, Purrington K, Giles GG, Milne RL, Mclean C, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Simard J, Goldberg MS, Labrèche F, Dumont M, Teo SH, Yip CH, Hassan N, Vithana EN, Kristensen V, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Kauppila S, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Devilee P, Tollenaar RA, Seynaeve C, Van Asperen CJ, García-Closas M, Figueroa J, Lissowska J, Brinton L, Czene K, Darabi H, Eriksson M, Brand JS, Hooning MJ, Hollestelle A, Van Den Ouweland AM, Jager A, Li J, Liu J, Humphreys K, Shu XO, Lu W, Gao YT, Cai H, Cross SS, Reed MW, Blot W, Signorello LB, Cai Q, Pharoah PD, Perkins B, Shah M, Blows FM, Kang D, Yoo KY, Noh DY, Hartman M, Miao H, Chia KS, Putti TC, Hamann U, Luccarini C, Baynes C, Ahmed S, Maranian M, Healey CS, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Sangrajrang S, Gaborieau V, Brennan P, Mckay J, Slager S, Toland AE, Yannoukakos D, Shen CY, Hsiung CN, Wu PE, Ding SL, Ashworth A, Jones M, Orr N, Swerdlow AJ, Tsimiklis H, Makalic E, Schmidt DF, Bui QM, Chanock SJ, Hunter DJ, Hein R, Dahmen N, Beckmann L, Aaltonen K, Muranen TA, Heikkinen T, Irwanto A, Rahman N, Turnbull CA, Waisfisz Q, Meijers-Heijboer HE, Adank MA, Van Der Luijt RB, Hall P, Chenevix-Trench G, Dunning A, Easton DF, and Cox A
Subjects: Breast Neoplasms ethnology, CASP8 and FADD-Like Apoptosis Regulating Protein genetics, Case-Control Studies, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotyping Techniques, Humans, Polymorphism, Single Nucleotide, Breast Neoplasms genetics, Caspase 8 genetics, Chromosomes, Human, Pair 2 genetics, Proteins genetics, White People genetics
Abstract: Previous studies have suggested that polymorphisms in CASP8 on chromosome 2 are associated with breast cancer risk. To clarify the role of CASP8 in breast cancer susceptibility, we carried out dense genotyping of this region in the Breast Cancer Association Consortium (BCAC). Single-nucleotide polymorphisms (SNPs) spanning a 1 Mb region around CASP8 were genotyped in 46 450 breast cancer cases and 42 600 controls of European origin from 41 studies participating in the BCAC as part of a custom genotyping array experiment (iCOGS). Missing genotypes and SNPs were imputed and, after quality exclusions, 501 typed and 1232 imputed SNPs were included in logistic regression models adjusting for study and ancestry principal components. The SNPs retained in the final model were investigated further in data from nine genome-wide association studies (GWAS) comprising in total 10 052 case and 12 575 control subjects. The most significant association signal observed in European subjects was for the imputed intronic SNP rs1830298 in ALS2CR12 (telomeric to CASP8), with per allele odds ratio and 95% confidence interval [OR (95% confidence interval, CI)] for the minor allele of 1.05 (1.03-1.07), P = 1 × 10(-5). Three additional independent signals from intronic SNPs were identified, in CASP8 (rs36043647), ALS2CR11 (rs59278883) and CFLAR (rs7558475). The association with rs1830298 was replicated in the imputed results from the combined GWAS (P = 3 × 10(-6)), yielding a combined OR (95% CI) of 1.06 (1.04-1.08), P = 1 × 10(-9). Analyses of gene expression associations in peripheral blood and normal breast tissue indicate that CASP8 might be the target gene, suggesting a mechanism involving apoptosis., (© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
Published: 2015
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33. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium.

Author: Milne RL, Burwinkel B, Michailidou K, Arias-Perez JI, Zamora MP, Menéndez-Rodríguez P, Hardisson D, Mendiola M, González-Neira A, Pita G, Alonso MR, Dennis J, Wang Q, Bolla MK, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Ko YD, Brauch H, Hamann U, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Matsuo K, Ito H, Iwata H, Tajima K, Li J, Brand JS, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Lambrechts D, Peuteman G, Christiaens MR, Smeets A, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Hartman M, Hui M, Yen Lim W, Wan Chan C, Marme F, Yang R, Bugert P, Lindblom A, Margolin S, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Bojesen SE, Nordestgaard BG, Flyger H, Hooning MJ, Kriege M, van den Ouweland AM, Koppert LB, Fletcher O, Johnson N, dos-Santos-Silva I, Peto J, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Cox A, Cross SS, Reed MW, Schmidt MK, Broeks A, Cornelissen S, Braaf L, Kang D, Choi JY, Park SK, Noh DY, Simard J, Dumont M, Goldberg MS, Labrèche F, Fasching PA, Hein A, Ekici AB, Beckmann MW, Radice P, Peterlongo P, Azzollini J, Barile M, Sawyer E, Tomlinson I, Kerin M, Miller N, Hopper JL, Schmidt DF, Makalic E, Southey MC, Hwang Teo S, Har Yip C, Sivanandan K, Tay WT, Shen CY, Hsiung CN, Yu JC, Hou MF, Guénel P, Truong T, Sanchez M, Mulot C, Blot W, Cai Q, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Wu AH, Tseng CC, Van Den Berg D, Stram DO, Bogdanova N, Dörk T, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Shu XO, Lu W, Gao YT, Zhang B, Couch FJ, Toland AE, Yannoukakos D, Sangrajrang S, McKay J, Wang X, Olson JE, Vachon C, Purrington K, Severi G, Baglietto L, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Devilee P, Tollenaar RA, Seynaeve C, Czene K, Eriksson M, Humphreys K, Darabi H, Ahmed S, Shah M, Pharoah PD, Hall P, Giles GG, Benítez J, Dunning AM, Chenevix-Trench G, and Easton DF
Subjects: A Kinase Anchor Proteins genetics, Adult, Alleles, Ataxin-7, Case-Control Studies, Cytoskeletal Proteins genetics, Female, Genome-Wide Association Study, Humans, Middle Aged, NIMA-Related Kinases, Nerve Tissue Proteins genetics, Protein Serine-Threonine Kinases genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide
Abstract: Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act., (© The Author 2014. Published by Oxford University Press.)
Published: 2014
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34. A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Author: Milne RL, Herranz J, Michailidou K, Dennis J, Tyrer JP, Zamora MP, Arias-Perez JI, González-Neira A, Pita G, Alonso MR, Wang Q, Bolla MK, Czene K, Eriksson M, Humphreys K, Darabi H, Li J, Anton-Culver H, Neuhausen SL, Ziogas A, Clarke CA, Hopper JL, Dite GS, Apicella C, Southey MC, Chenevix-Trench G, Swerdlow A, Ashworth A, Orr N, Schoemaker M, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Andrulis IL, Knight JA, Glendon G, Mulligan AM, Bojesen SE, Nordestgaard BG, Flyger H, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Olson JE, Vachon C, Purrington K, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Dunning AM, Shah M, Guénel P, Truong T, Sanchez M, Mulot C, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Lindblom A, Margolin S, Hooning MJ, Hollestelle A, Collée JM, Jager A, Cox A, Brock IW, Reed MW, Devilee P, Tollenaar RA, Seynaeve C, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Simard J, Dumont M, Soucy P, Dörk T, Bogdanova NV, Hamann U, Försti A, Rüdiger T, Ulmer HU, Fasching PA, Häberle L, Ekici AB, Beckmann MW, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Radice P, Peterlongo P, Peissel B, Mariani P, Giles GG, Severi G, Baglietto L, Sawyer E, Tomlinson I, Kerin M, Miller N, Marme F, Burwinkel B, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Alnæs GG, Kristensen V, Børresen-Dale AL, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Schmidt MK, Broeks A, Verhoef S, Rutgers EJ, Brauch H, Brüning T, Ko YD, Couch FJ, Toland AE, Yannoukakos D, Pharoah PD, Hall P, Benítez J, Malats N, and Easton DF
Subjects: Case-Control Studies, Epistasis, Genetic genetics, Female, Genome-Wide Association Study, Humans, Logistic Models, Polymorphism, Single Nucleotide, Breast Neoplasms genetics, Genetic Predisposition to Disease
Abstract: Part of the substantial unexplained familial aggregation of breast cancer may be due to interactions between common variants, but few studies have had adequate statistical power to detect interactions of realistic magnitude. We aimed to assess all two-way interactions in breast cancer susceptibility between 70,917 single nucleotide polymorphisms (SNPs) selected primarily based on prior evidence of a marginal effect. Thirty-eight international studies contributed data for 46,450 breast cancer cases and 42,461 controls of European origin as part of a multi-consortium project (COGS). First, SNPs were preselected based on evidence (P < 0.01) of a per-allele main effect, and all two-way combinations of those were evaluated by a per-allele (1 d.f.) test for interaction using logistic regression. Second, all 2.5 billion possible two-SNP combinations were evaluated using Boolean operation-based screening and testing, and SNP pairs with the strongest evidence of interaction (P < 10(-4)) were selected for more careful assessment by logistic regression. Under the first approach, 3277 SNPs were preselected, but an evaluation of all possible two-SNP combinations (1 d.f.) identified no interactions at P < 10(-8). Results from the second analytic approach were consistent with those from the first (P > 10(-10)). In summary, we observed little evidence of two-way SNP interactions in breast cancer susceptibility, despite the large number of SNPs with potential marginal effects considered and the very large sample size. This finding may have important implications for risk prediction, simplifying the modelling required. Further comprehensive, large-scale genome-wide interaction studies may identify novel interacting loci if the inherent logistic and computational challenges can be overcome.
Published: 2014
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35. FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium.

Author: Agarwal D, Pineda S, Michailidou K, Herranz J, Pita G, Moreno LT, Alonso MR, Dennis J, Wang Q, Bolla MK, Meyer KB, Menéndez-Rodríguez P, Hardisson D, Mendiola M, González-Neira A, Lindblom A, Margolin S, Swerdlow A, Ashworth A, Orr N, Jones M, Matsuo K, Ito H, Iwata H, Kondo N, Hartman M, Hui M, Lim WY, Iau PT, Sawyer E, Tomlinson I, Kerin M, Miller N, Kang D, Choi J-, Park SK, Noh D-, Hopper JL, Schmidt DF, Makalic E, Southey MC, Teo SH, Yip CH, Sivanandan K, Tay W-, Brauch H, Brüning T, Hamann U, Dunning AM, Shah M, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Schmidt MK, Broeks A, Rosenberg EH, van't Veer LJ, Fasching PA, Renner SP, Ekici AB, Beckmann MW, Shen C-, Hsiung C-, Yu J-, Hou M-, Blot W, Cai Q, Wu AH, Tseng C-, Van Den Berg D, Stram DO, Cox A, Brock IW, Reed MW, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Zheng W, Deming-Halverson S, Shrubsole MJ, Long J, Shu X-, Lu W, Gao Y-, Zhang B, Radice P, Peterlongo P, Manoukian S, Mariette F, Sangrajrang S, McKay J, Couch FJ, Toland AE, Yannoukakos D, Fletcher O, Johnson N, dos Santos Silva I, Peto J, Marme F, Burwinkel B, Guénel P, Truong T, Sanchez M, Mulot C, Bojesen SE, Nordestgaard BG, Flyer H, Brenner H, Dieffenbach AK, Arndt V, Stegmaier C, Mannermaa A, Kataja V, Kosma V-, Hartikainen JM, Lambrechts D, Yesilyurt BT, Floris G, Leunen K, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Wang X, Olson JE, Vachon C, Purrington K, Giles GG, Severi G, Baglietto L, Haiman CA, Henderson BE, Schumacher F, Marchand LL, Simard J, Dumont M, Goldberg MS, Labréche F, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Grip M, Devilee P, Tollenaar RA, Seynaeve C, García-Closas M, Chanock SJ, Lissowska J, Figueroa JD, Czene K, Eriksson M, Humphreys K, Darabi H, Hooning MJ, Kriege M, Collée JM, Tilanus-Linthorst M, Li J, Jakubowska A, Lubinski J, Jaworska-Bieniek K, Durda K, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Bogdanova N, Dörk T, Hall P, Chenevix-Trench G, Easton DF, Pharroah PD, Arias-Perez JI, Zamora P, Benítez J, and Milne RL
Subjects: Case-Control Studies, Female, Genetic Variation, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide genetics, Receptor, Fibroblast Growth Factor, Type 1 genetics, Receptor, Fibroblast Growth Factor, Type 3 genetics, Receptor, Fibroblast Growth Factor, Type 4 genetics, Receptor, Fibroblast Growth Factor, Type 5 genetics, Breast Neoplasms genetics, Genetic Predisposition to Disease, Receptor, Fibroblast Growth Factor, Type 2 genetics
Abstract: Background: Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium., Methods: Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression., Results: Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2., Conclusion: Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.
Published: 2014
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36. Identification of new genetic susceptibility loci for breast cancer through consideration of gene-environment interactions.

Author: Schoeps A, Rudolph A, Seibold P, Dunning AM, Milne RL, Bojesen SE, Swerdlow A, Andrulis I, Brenner H, Behrens S, Orr N, Jones M, Ashworth A, Li J, Cramp H, Connley D, Czene K, Darabi H, Chanock SJ, Lissowska J, Figueroa JD, Knight J, Glendon G, Mulligan AM, Dumont M, Severi G, Baglietto L, Olson J, Vachon C, Purrington K, Moisse M, Neven P, Wildiers H, Spurdle A, Kosma VM, Kataja V, Hartikainen JM, Hamann U, Ko YD, Dieffenbach AK, Arndt V, Stegmaier C, Malats N, Arias Perez JI, Benítez J, Flyger H, Nordestgaard BG, Truong T, Cordina-Duverger E, Menegaux F, dos Santos Silva I, Fletcher O, Johnson N, Häberle L, Beckmann MW, Ekici AB, Braaf L, Atsma F, van den Broek AJ, Makalic E, Schmidt DF, Southey MC, Cox A, Simard J, Giles GG, Lambrechts D, Mannermaa A, Brauch H, Guénel P, Peto J, Fasching PA, Hopper J, Flesch-Janys D, Couch F, Chenevix-Trench G, Pharoah PD, Garcia-Closas M, Schmidt MK, Hall P, Easton DF, and Chang-Claude J
Subjects: Adolescent, Body Height, Body Mass Index, Chromosomes, Human, Pair 21 genetics, Chromosomes, Human, Pair 6 genetics, Female, Genetic Loci genetics, Humans, Linkage Disequilibrium genetics, Menarche, Middle Aged, Parity, Postmenopause, White People genetics, Breast Neoplasms genetics, Gene-Environment Interaction, Genetic Predisposition to Disease genetics, Polymorphism, Single Nucleotide genetics
Abstract: Genes that alter disease risk only in combination with certain environmental exposures may not be detected in genetic association analysis. By using methods accounting for gene-environment (G × E) interaction, we aimed to identify novel genetic loci associated with breast cancer risk. Up to 34,475 cases and 34,786 controls of European ancestry from up to 23 studies in the Breast Cancer Association Consortium were included. Overall, 71,527 single nucleotide polymorphisms (SNPs), enriched for association with breast cancer, were tested for interaction with 10 environmental risk factors using three recently proposed hybrid methods and a joint test of association and interaction. Analyses were adjusted for age, study, population stratification, and confounding factors as applicable. Three SNPs in two independent loci showed statistically significant association: SNPs rs10483028 and rs2242714 in perfect linkage disequilibrium on chromosome 21 and rs12197388 in ARID1B on chromosome 6. While rs12197388 was identified using the joint test with parity and with age at menarche (P-values = 3 × 10(-07)), the variants on chromosome 21 q22.12, which showed interaction with adult body mass index (BMI) in 8,891 postmenopausal women, were identified by all methods applied. SNP rs10483028 was associated with breast cancer in women with a BMI below 25 kg/m(2) (OR = 1.26, 95% CI 1.15-1.38) but not in women with a BMI of 30 kg/m(2) or higher (OR = 0.89, 95% CI 0.72-1.11, P for interaction = 3.2 × 10(-05)). Our findings confirm comparable power of the recent methods for detecting G × E interaction and the utility of using G × E interaction analyses to identify new susceptibility loci., (© 2013 WILEY PERIODICALS, INC.)
Published: 2014
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37. Fine-scale mapping of the FGFR2 breast cancer risk locus: putative functional variants differentially bind FOXA1 and E2F1.

Author: Meyer KB, O'Reilly M, Michailidou K, Carlebur S, Edwards SL, French JD, Prathalingham R, Dennis J, Bolla MK, Wang Q, de Santiago I, Hopper JL, Tsimiklis H, Apicella C, Southey MC, Schmidt MK, Broeks A, Van 't Veer LJ, Hogervorst FB, Muir K, Lophatananon A, Stewart-Brown S, Siriwanarangsan P, Fasching PA, Lux MP, Ekici AB, Beckmann MW, Peto J, Dos Santos Silva I, Fletcher O, Johnson N, Sawyer EJ, Tomlinson I, Kerin MJ, Miller N, Marme F, Schneeweiss A, Sohn C, Burwinkel B, Guénel P, Truong T, Laurent-Puig P, Menegaux F, Bojesen SE, Nordestgaard BG, Nielsen SF, Flyger H, Milne RL, Zamora MP, Arias JI, Benitez J, Neuhausen S, Anton-Culver H, Ziogas A, Dur CC, Brenner H, Müller H, Arndt V, Stegmaier C, Meindl A, Schmutzler RK, Engel C, Ditsch N, Brauch H, Brüning T, Ko YD, Nevanlinna H, Muranen TA, Aittomäki K, Blomqvist C, Matsuo K, Ito H, Iwata H, Yatabe Y, Dörk T, Helbig S, Bogdanova NV, Lindblom A, Margolin S, Mannermaa A, Kataja V, Kosma VM, Hartikainen JM, Chenevix-Trench G, Wu AH, Tseng CC, Van Den Berg D, Stram DO, Lambrechts D, Thienpont B, Christiaens MR, Smeets A, Chang-Claude J, Rudolph A, Seibold P, Flesch-Janys D, Radice P, Peterlongo P, Bonanni B, Bernard L, Couch FJ, Olson JE, Wang X, Purrington K, Giles GG, Severi G, Baglietto L, McLean C, Haiman CA, Henderson BE, Schumacher F, Le Marchand L, Simard J, Goldberg MS, Labrèche F, Dumont M, Teo SH, Yip CH, Phuah SY, Kristensen V, Grenaker Alnæs G, Børresen-Dale AL, Zheng W, Deming-Halverson S, Shrubsole M, Long J, Winqvist R, Pylkäs K, Jukkola-Vuorinen A, Kauppila S, Andrulis IL, Knight JA, Glendon G, Tchatchou S, Devilee P, Tollenaar RA, Seynaeve CM, García-Closas M, Figueroa J, Chanock SJ, Lissowska J, Czene K, Darabi H, Eriksson K, Hooning MJ, Martens JW, van den Ouweland AM, van Deurzen CH, Hall P, Li J, Liu J, Humphreys K, Shu XO, Lu W, Gao YT, Cai H, Cox A, Reed MW, Blot W, Signorello LB, Cai Q, Pharoah PD, Ghoussaini M, Harrington P, Tyrer J, Kang D, Choi JY, Park SK, Noh DY, Hartman M, Hui M, Lim WY, Buhari SA, Hamann U, Försti A, Rüdiger T, Ulmer HU, Jakubowska A, Lubinski J, Jaworska K, Durda K, Sangrajrang S, Gaborieau V, Brennan P, McKay J, Vachon C, Slager S, Fostira F, Pilarski R, Shen CY, Hsiung CN, Wu PE, Hou MF, Swerdlow A, Ashworth A, Orr N, Schoemaker MJ, Ponder BA, Dunning AM, and Easton DF
Subjects: Alleles, Asian People genetics, Binding Sites, Black People genetics, Case-Control Studies, Cell Line, Tumor, Chromatin Immunoprecipitation, E2F1 Transcription Factor genetics, E2F1 Transcription Factor metabolism, Female, Gene Expression Regulation, Neoplastic, Genetic Association Studies, Haplotypes, Hepatocyte Nuclear Factor 3-alpha genetics, Hepatocyte Nuclear Factor 3-alpha metabolism, Humans, Position-Specific Scoring Matrices, Promoter Regions, Genetic, Protein Binding, RNA Interference, Receptor, Fibroblast Growth Factor, Type 2 metabolism, White People genetics, Breast Neoplasms genetics, Breast Neoplasms metabolism, Chromosome Mapping, Genetic Loci, Receptor, Fibroblast Growth Factor, Type 2 genetics
Abstract: The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ERα to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease., (Copyright © 2013 The American Society of Human Genetics. Published by Elsevier Inc. All rights reserved.)
Published: 2013
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