Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes Journal Article


Authors: Fachal, L.; Aschard, H.; Beesley, J.; Barnes, D. R.; Allen, J.; Kar, S.; Pooley, K. A.; Dennis, J.; Michailidou, K.; Turman, C.; Soucy, P.; Lemaçon, A.; Lush, M.; Tyrer, J. P.; Ghoussaini, M.; Marjaneh, M. M.; Jiang, X.; Agata, S.; Aittomäki, K.; Alonso, M. R.; Andrulis, I. L.; Anton-Culver, H.; Antonenkova, N. N.; Arason, A.; Arndt, V.; Aronson, K. J.; Arun, B. K.; Auber, B.; Auer, P. L.; Azzollini, J.; Balmaña, J.; Barkardottir, R. B.; Barrowdale, D.; Beeghly-Fadiel, A.; Benitez, J.; Bermisheva, M.; Białkowska, K.; Blanco, A. M.; Blomqvist, C.; Blot, W.; Bogdanova, N. V.; Bojesen, S. E.; Bolla, M. K.; Bonanni, B.; Borg, A.; Bosse, K.; Brauch, H.; Brenner, H.; Briceno, I.; Brock, I. W.; Brooks-Wilson, A.; Brüning, T.; Burwinkel, B.; Buys, S. S.; Cai, Q.; Caldés, T.; Caligo, M. A.; Camp, N. J.; Campbell, I.; Canzian, F.; Carroll, J. S.; Carter, B. D.; Castelao, J. E.; Chiquette, J.; Christiansen, H.; Chung, W. K.; Claes, K. B. M.; Clarke, C. L.; GEMO Study Collaborators; EMBRACE Collaborators; Collée, J. M.; Cornelissen, S.; Couch, F. J.; Cox, A.; Cross, S. S.; Cybulski, C.; Czene, K.; Daly, M. B.; de la Hoya, M.; Devilee, P.; Diez, O.; Ding, Y. C.; Dite, G. S.; Domchek, S. M.; Dörk, T.; dos-Santos-Silva, I.; Droit, A.; Dubois, S.; Dumont, M.; Duran, M.; Durcan, L.; Dwek, M.; Eccles, D. M.; Engel, C.; Eriksson, M.; Evans, D. G.; Fasching, P. A.; Fletcher, O.; Floris, G.; Flyger, H.; Foretova, L.; Foulkes, W. D.; Friedman, E.; Fritschi, L.; Frost, D.; Gabrielson, M.; Gago-Dominguez, M.; Gambino, G.; Ganz, P. A.; Gapstur, S. M.; Garber, J.; García-Sáenz, J. A.; Gaudet, M. M.; Georgoulias, V.; Giles, G. G.; Glendon, G.; Godwin, A. K.; Goldberg, M. S.; Goldgar, D. E.; González-Neira, A.; Grazia Tibiletti, M.; Greene, M. H.; Grip, M.; Gronwald, J.; Grundy, A.; Guénel, P.; Hahnen, E.; Haiman, C. A.; Håkansson, N.; Hall, P.; Hamann, U.; Harrington, P. A.; Hartikainen, J. M.; Hartman, M.; He, W.; Healey, C. S.; Heemskerk-Gerritsen, B. A. M.; Heyworth, J.; Hillemanns, P.; Hogervorst, F. B. L.; Hollestelle, A.; Hooning, M. J.; Hopper, J. L.; Howell, A.; Huang, G.; Hulick, P. J.; Imyanitov, E. N.; KConFab Investigators; HEBON Investigators; ABCTB Investigators; Isaacs, C.; Iwasaki, M.; Jager, A.; Jakimovska, M.; Jakubowska, A.; James, P. A.; Janavicius, R.; Jankowitz, R. C.; John, E. M.; Johnson, N.; Jones, M. E.; Jukkola-Vuorinen, A.; Jung, A.; Kaaks, R.; Kang, D.; Kapoor, P. M.; Karlan, B. Y.; Keeman, R.; Kerin, M. J.; Khusnutdinova, E.; Kiiski, J. I.; Kirk, J.; Kitahara, C. M.; Ko, Y. D.; Konstantopoulou, I.; Kosma, V. M.; Koutros, S.; Kubelka-Sabit, K.; Kwong, A.; Kyriacou, K.; Laitman, Y.; Lambrechts, D.; Lee, E.; Leslie, G.; Lester, J.; Lesueur, F.; Lindblom, A.; Lo, W. Y.; Long, J.; Lophatananon, A.; Loud, J. T.; Lubiński, J.; MacInnis, R. J.; Maishman, T.; Makalic, E.; Mannermaa, A.; Manoochehri, M.; Manoukian, S.; Margolin, S.; Martinez, M. E.; Matsuo, K.; Maurer, T.; Mavroudis, D.; Mayes, R.; McGuffog, L.; McLean, C.; Mebirouk, N.; Meindl, A.; Miller, A.; Miller, N.; Montagna, M.; Moreno, F.; Muir, K.; Mulligan, A. M.; Muñoz-Garzon, V. M.; Muranen, T. A.; Narod, S. A.; Nassir, R.; Nathanson, K. L.; Neuhausen, S. L.; Nevanlinna, H.; Neven, P.; Nielsen, F. C.; Nikitina-Zake, L.; Norman, A.; Offit, K.; Olah, E.; Olopade, O. I.; Olsson, H.; Orr, N.; Osorio, A.; Pankratz, V. S.; Papp, J.; Park, S. K.; Park-Simon, T. W.; Parsons, M. T.; Paul, J.; Pedersen, I. S.; Peissel, B.; Peshkin, B.; Peterlongo, P.; Peto, J.; Plaseska-Karanfilska, D.; Prajzendanc, K.; Prentice, R.; Presneau, N.; Prokofyeva, D.; Pujana, M. A.; Pylkäs, K.; Radice, P.; Ramus, S. J.; Rantala, J.; Rau-Murthy, R.; Rennert, G.; Risch, H. A.; Robson, M.; Romero, A.; Rossing, M.; Saloustros, E.; Sánchez-Herrero, E.; Sandler, D. P.; Santamariña, M.; Saunders, C.; Sawyer, E. J.; Scheuner, M. T.; Schmidt, D. F.; Schmutzler, R. K.; Schneeweiss, A.; Schoemaker, M. J.; Schöttker, B.; Schürmann, P.; Scott, C.; Scott, R. J.; Senter, L.; Seynaeve, C. M.; Shah, M.; Sharma, P.; Shen, C. Y.; Shu, X. O.; Singer, C. F.; Slavin, T. P.; Smichkoska, S.; Southey, M. C.; Spinelli, J. J.; Spurdle, A. B.; Stone, J.; Stoppa-Lyonnet, D.; Sutter, C.; Swerdlow, A. J.; Tamimi, R. M.; Tan, Y. Y.; Tapper, W. J.; Taylor, J. A.; Teixeira, M. R.; Tengström, M.; Teo, S. H.; Terry, M. B.; Teulé, A.; Thomassen, M.; Thull, D. L.; Tischkowitz, M.; Toland, A. E.; Tollenaar, R. A. E. M.; Tomlinson, I.; Torres, D.; Torres-Mejía, G.; Troester, M. A.; Truong, T.; Tung, N.; Tzardi, M.; Ulmer, H. U.; Vachon, C. M.; van Asperen, C. J.; van der Kolk, L. E.; van Rensburg, E. J.; Vega, A.; Viel, A.; Vijai, J.; Vogel, M. J.; Wang, Q.; Wappenschmidt, B.; Weinberg, C. R.; Weitzel, J. N.; Wendt, C.; Wildiers, H.; Winqvist, R.; Wolk, A.; Wu, A. H.; Yannoukakos, D.; Zhang, Y.; Zheng, W.; Hunter, D.; Pharoah, P. D. P.; Chang-Claude, J.; García-Closas, M.; Schmidt, M. K.; Milne, R. L.; Kristensen, V. N.; French, J. D.; Edwards, S. L.; Antoniou, A. C.; Chenevix-Trench, G.; Simard, J.; Easton, D. F.; Kraft, P.; Dunning, A. M.
Article Title: Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes
Abstract: Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes. © 2020, The Author(s), under exclusive licence to Springer Nature America, Inc.
Keywords: controlled study; human tissue; human cell; cancer risk; apoptosis; immune system; breast cancer; gene expression; genetic variability; genome-wide association study; transcription factor; gene mapping; chromatin; genomics; binding site; quantitative trait locus; gene linkage disequilibrium; gene ontology; human; female; priority journal; article; mcf-7 cell line
Journal Title: Nature Genetics
Volume: 52
Issue: 1
ISSN: 1061-4036
Publisher: Nature Publishing Group  
Date Published: 2020-01-01
Start Page: 56
End Page: 73
Language: English
DOI: 10.1038/s41588-019-0537-1
PROVIDER: scopus
PMCID: PMC6974400
PUBMED: 31911677
DOI/URL:
Notes: Vijai Joseph's first and last names are reversed on the origianl publication -- Source: Scopus
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  1. Kenneth Offit
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  2. Mark E Robson
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  3. Vijai Joseph
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