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1. 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

2. Molecular cartography uncovers evolutionary and microenvironmental dynamics in sporadic colorectal tumors.

Author

Heiser CN, Simmons AJ, Revetta F, McKinley ET, Ramirez-Solano MA, Wang J, Kaur H, Shao J, Ayers GD, Wang Y, Glass SE, Tasneem N, Chen Z, Qin Y, Kim W, Rolong A, Chen B, Vega PN, Drewes JL, Markham NO, Saleh N, Nikolos F, Vandekar S, Jones AL, Washington MK, Roland JT, Chan KS, Schürpf T, Sears CL, Liu Q, Shrubsole MJ, Coffey RJ, and Lau KS

Subjects
Humans, Chromosomal Instability genetics, Gene Expression Profiling, p21-Activated Kinases genetics, Phylogeny, Mutation, Disease Progression, Prognosis, Colorectal Neoplasms pathology, Microsatellite Instability, Tumor Microenvironment
Abstract

Colorectal cancer exhibits dynamic cellular and genetic heterogeneity during progression from precursor lesions toward malignancy. Analysis of spatial multi-omic data from 31 human colorectal specimens enabled phylogeographic mapping of tumor evolution that revealed individualized progression trajectories and accompanying microenvironmental and clonal alterations. Phylogeographic mapping ordered genetic events, classified tumors by their evolutionary dynamics, and placed clonal regions along global pseudotemporal progression trajectories encompassing the chromosomal instability (CIN+) and hypermutated (HM) pathways. Integrated single-cell and spatial transcriptomic data revealed recurring epithelial programs and infiltrating immune states along progression pseudotime. We discovered an immune exclusion signature (IEX), consisting of extracellular matrix regulators DDR1, TGFBI, PAK4, and DPEP1, that charts with CIN+ tumor progression, is associated with reduced cytotoxic cell infiltration, and shows prognostic value in independent cohorts. This spatial multi-omic atlas provides insights into colorectal tumor-microenvironment co-evolution, serving as a resource for stratification and targeted treatments., Competing Interests: Declaration of interests C.N.H. is an employee of Regeneron Pharmaceuticals. M.J.S. receives funding from Janssen. B.C. is an employee of Genentech. E.T.M. is an employee of GlaxoSmithKline. Y.Q. and T.S. are stockholders and employees of Incendia Therapeutics. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Published
2023
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3. Differential pre-malignant programs and microenvironment chart distinct paths to malignancy in human colorectal polyps.

Author

Chen B, Scurrah CR, McKinley ET, Simmons AJ, Ramirez-Solano MA, Zhu X, Markham NO, Heiser CN, Vega PN, Rolong A, Kim H, Sheng Q, Drewes JL, Zhou Y, Southard-Smith AN, Xu Y, Ro J, Jones AL, Revetta F, Berry LD, Niitsu H, Islam M, Pelka K, Hofree M, Chen JH, Sarkizova S, Ng K, Giannakis M, Boland GM, Aguirre AJ, Anderson AC, Rozenblatt-Rosen O, Regev A, Hacohen N, Kawasaki K, Sato T, Goettel JA, Grady WM, Zheng W, Washington MK, Cai Q, Sears CL, Goldenring JR, Franklin JL, Su T, Huh WJ, Vandekar S, Roland JT, Liu Q, Coffey RJ, Shrubsole MJ, and Lau KS

Subjects
Adaptive Immunity, Adenoma genetics, Adenoma pathology, Adult, Aged, Animals, Carcinogenesis genetics, Carcinogenesis pathology, Cell Death, Cell Differentiation, Colonic Polyps genetics, Colonic Polyps immunology, Colorectal Neoplasms genetics, Colorectal Neoplasms immunology, Disease Progression, Female, Gene Expression Regulation, Neoplastic, Gene Regulatory Networks, Genetic Heterogeneity, Humans, Male, Mice, Middle Aged, Mutation genetics, Neoplastic Stem Cells metabolism, Neoplastic Stem Cells pathology, RNA-Seq, Reproducibility of Results, Single-Cell Analysis, Colonic Polyps pathology, Colorectal Neoplasms pathology, Tumor Microenvironment immunology
Abstract

Colorectal cancers (CRCs) arise from precursor polyps whose cellular origins, molecular heterogeneity, and immunogenic potential may reveal diagnostic and therapeutic insights when analyzed at high resolution. We present a single-cell transcriptomic and imaging atlas of the two most common human colorectal polyps, conventional adenomas and serrated polyps, and their resulting CRC counterparts. Integrative analysis of 128 datasets from 62 participants reveals adenomas arise from WNT-driven expansion of stem cells, while serrated polyps derive from differentiated cells through gastric metaplasia. Metaplasia-associated damage is coupled to a cytotoxic immune microenvironment preceding hypermutation, driven partly by antigen-presentation differences associated with tumor cell-differentiation status. Microsatellite unstable CRCs contain distinct non-metaplastic regions where tumor cells acquire stem cell properties and cytotoxic immune cells are depleted. Our multi-omic atlas provides insights into malignant progression of colorectal polyps and their microenvironment, serving as a framework for precision surveillance and prevention of CRC., Competing Interests: Declaration of interests M.J.S., C.L.S., W.M.G., and K.N. receive funding from Janssen. C.L.S., M.G., and K.N. receive funding from Bristol Myers Squibb. W.M.G. receives funding from Tempus and Pavmed technologies; is a board member for Freenome, Guardant Health, and SEngine; and consults for DiaCarta. A.J.A. receives funding from Mirati Therapeutics, Deerfield, and Novo Ventures and consults for Oncorus, Arrakis Therapeutics, and Merck. G.M.B. receives funding from Palleon Pharmaceuticals, Olink Proteomics, and Takeda Oncology and is a board member for Novartis and Nektar Therapeutics. A.C.A. is a board member for Tizona Therapeutics, Compass Therapeutics, Zumutor Biologics, and ImmuneOncia and consults for iTeos Therapeutics. M.G. and K.N. receive funding from Merck and Servier. K.N. receives funding from Revolution Medicines, Evergrande Group, Pharmavite, and Merck; is a board member for Seattle Genetics and BiomX; and consults for X-Biotix Therapeutics. A. Regev is a founder of and equity holder in Celsius Therapeutics and holds equity in Immunitas Therapeutics. O.R.-R. and A. Regev are employees of Genentech. N.H. holds equity in BioNTech and consults for Related Sciences/Danger Bio. All other authors declare no competing interests., (Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved.)

Published
2021
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4. 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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5. Public Attitudes toward Consent and Data Sharing in Biobank Research: A Large Multi-site Experimental Survey in the US.

Author

Sanderson SC, Brothers KB, Mercaldo ND, Clayton EW, Antommaria AHM, Aufox SA, Brilliant MH, Campos D, Carrell DS, Connolly J, Conway P, Fullerton SM, Garrison NA, Horowitz CR, Jarvik GP, Kaufman D, Kitchner TE, Li R, Ludman EJ, McCarty CA, McCormick JB, McManus VD, Myers MF, Scrol A, Williams JL, Shrubsole MJ, Schildcrout JS, Smith ME, and Holm IA

Subjects
Adolescent, Adult, Aged, Biomedical Research ethics, Electronic Health Records ethics, Female, Genome, Human, Genomics, Humans, Male, Middle Aged, Privacy, Socioeconomic Factors, United States, Young Adult, Biological Specimen Banks ethics, Information Dissemination ethics, Informed Consent ethics, Public Opinion
Abstract

Individuals participating in biobanks and other large research projects are increasingly asked to provide broad consent for open-ended research use and widespread sharing of their biosamples and data. We assessed willingness to participate in a biobank using different consent and data sharing models, hypothesizing that willingness would be higher under more restrictive scenarios. Perceived benefits, concerns, and information needs were also assessed. In this experimental survey, individuals from 11 US healthcare systems in the Electronic Medical Records and Genomics (eMERGE) Network were randomly allocated to one of three hypothetical scenarios: tiered consent and controlled data sharing; broad consent and controlled data sharing; or broad consent and open data sharing. Of 82,328 eligible individuals, exactly 13,000 (15.8%) completed the survey. Overall, 66% (95% CI: 63%-69%) of population-weighted respondents stated they would be willing to participate in a biobank; willingness and attitudes did not differ between respondents in the three scenarios. Willingness to participate was associated with self-identified white race, higher educational attainment, lower religiosity, perceiving more research benefits, fewer concerns, and fewer information needs. Most (86%, CI: 84%-87%) participants would want to know what would happen if a researcher misused their health information; fewer (51%, CI: 47%-55%) would worry about their privacy. The concern that the use of broad consent and open data sharing could adversely affect participant recruitment is not supported by these findings. Addressing potential participants' concerns and information needs and building trust and relationships with communities may increase acceptance of broad consent and wide data sharing in biobank research., (Copyright © 2017 American Society of Human Genetics. All rights reserved.)

Published
2017
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