Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/36348
Title: A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.
Authors: 
Wu, Lang
Shi, Wei
Long, Jirong
Guo, Xingyi
Michailidou, Kyriaki
Beesley, Jonathan
Bolla, Manjeet K
Shu, Xiao-Ou
Lu, Yingchang
Cai, Qiuyin
Al-Ejeh, Fares
Rozali, Esdy
Wang, Qin
Dennis, Joe
Li, Bingshan
Zeng, Chenjie
Feng, Helian
Gusev, Alexander
Barfield, Richard T
Andrulis, Irene L
Anton-Culver, Hoda
Arndt, Volker
Aronson, Kristan J
Auer, Paul L
Barrdahl, Myrto
Baynes, Caroline
Beckmann, Matthias W
Benitez, Javier
Bermisheva, Marina
Blomqvist, Carl
Bogdanova, Natalia V
Bojesen, Stig E
Brauch, Hiltrud
Brenner, Hermann
Brinton, Louise
Broberg, Per
Brucker, Sara Y
Burwinkel, Barbara
Caldés, Trinidad
Canzian, Federico
Carter, Brian D
Castelao, J Esteban
Chang-Claude, Jenny
Chen, Xiaoqing
Cheng, Ting-Yuan David
Christiansen, Hans
Clarke, Christine L
Collée, Margriet
Cornelissen, Sten
Couch, Fergus J
Cox, David
Cox, Angela
Cross, Simon S
Cunningham, Julie M
Czene, Kamila
Daly, Mary B
Devilee, Peter
Doheny, Kimberly F
Dörk, Thilo
Dos-Santos-Silva, Isabel
Dumont, Martine
Dwek, Miriam
Eccles, Diana M
Eilber, Ursula
Eliassen, A Heather
Engel, Christoph
Eriksson, Mikael
Fachal, Laura
Fasching, Peter A
Figueroa, Jonine
Flesch-Janys, Dieter
Fletcher, Olivia
Flyger, Henrik
Fritschi, Lin
Gabrielson, Marike
Gago-Dominguez, Manuela
Gapstur, Susan M
García-Closas, Montserrat
Gaudet, Mia M
Ghoussaini, Maya
Giles, Graham G
Goldberg, Mark S
Goldgar, David E
González-Neira, Anna
Guénel, Pascal
Hahnen, Eric
Haiman, Christopher A
Håkansson, Niclas
Hall, Per
Hallberg, Emily
Hamann, Ute
Harrington, Patricia
Hein, Alexander
Hicks, Belynda
Hillemanns, Peter
Hollestelle, Antoinette
Hoover, Robert N
Hopper, John L
Huang, Guanmengqian
Humphreys, Keith
Hunter, David J
Jakubowska, Anna
Janni, Wolfgang
John, Esther M
Johnson, Nichola
Jones, Kristine
Jones, Michael E
Jung, Audrey
Kaaks, Rudolf
Kerin, Michael J
Khusnutdinova, Elza
Kosma, Veli-Matti
Kristensen, Vessela N
Lambrechts, Diether
Le Marchand, Loic
Li, Jingmei
Lindström, Sara
Lissowska, Jolanta
Lo, Wing-Yee
Loibl, Sibylle
Lubinski, Jan
Luccarini, Craig
Lux, Michael P
MacInnis, Robert J
Maishman, Tom
Kostovska, Ivana Maleva
Mannermaa, Arto
Manson, JoAnn E
Margolin, Sara
Mavroudis, Dimitrios
Meijers-Heijboer, Hanne
Meindl, Alfons
Menon, Usha
Meyer, Jeffery
Mulligan, Anna Marie
Neuhausen, Susan L
Nevanlinna, Heli
Neven, Patrick
Nielsen, Sune F
Nordestgaard, Børge G
Olopade, Olufunmilayo I
Olson, Janet E
Olsson, Håkan
Peterlongo, Paolo
Peto, Julian
Plaseska-Karanfilska, Dijana
Prentice, Ross
Presneau, Nadege
Pylkäs, Katri
Rack, Brigitte
Radice, Paolo
Rahman, Nazneen
Rennert, Gad
Rennert, Hedy S
Rhenius, Valerie
Romero, Atocha
Romm, Jane
Rudolph, Anja
Saloustros, Emmanouil
Sandler, Dale P
Sawyer, Elinor J
Schmidt, Marjanka K
Schmutzler, Rita K
Schneeweiss, Andreas
Scott, Rodney J
Scott, Christopher G
Seal, Sheila
Shah, Mitul
Shrubsole, Martha J
Smeets, Ann
Southey, Melissa C
Spinelli, John J
Stone, Jennifer
Surowy, Harald
Swerdlow, Anthony J
Tamimi, Rulla M
Tapper, William
Taylor, Jack A
Terry, Mary Beth
Tessier, Daniel C
Thomas, Abigail
Thöne, Kathrin
Tollenaar, Rob A E M
Torres, Diana
Truong, Thérèse
Untch, Michael
Vachon, Celine
Van Den Berg, David
Vincent, Daniel
Waisfisz, Quinten
Weinberg, Clarice R
Wendt, Camilla
Whittemore, Alice S
Wildiers, Hans
Willett, Walter C
Winqvist, Robert
Wolk, Alicja
Xia, Lucy
Yang, Xiaohong R
Ziogas, Argyrios
Ziv, Elad
Dunning, Alison M
Pharoah, Paul D P
Simard, Jacques
Milne, Roger L
Edwards, Stacey L
Kraft, Peter
Easton, Douglas F
Chenevix-Trench, Georgia
Zheng, Wei
Mesh: 
Issue Date: 2018
Citation: Nat. Genet..2018 07;(50)7:968-978
Abstract: The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown. To identify novel risk loci and likely causal genes, we performed a transcriptome-wide association study evaluating associations of genetically predicted gene expression with breast cancer risk in 122,977 cases and 105,974 controls of European ancestry. We used data from the Genotype-Tissue Expression Project to establish genetic models to predict gene expression in breast tissue and evaluated model performance using data from The Cancer Genome Atlas. Of the 8,597 genes evaluated, significant associations were identified for 48 at a Bonferroni-corrected threshold of P < 5.82 × 10-6, including 14 genes at loci not yet reported for breast cancer. We silenced 13 genes and showed an effect for 11 on cell proliferation and/or colony-forming efficiency. Our study provides new insights into breast cancer genetics and biology.
PMID: 29915430
URI: https://hdl.handle.net/20.500.12530/36348
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. Clínico San Carlos > Artículos

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