A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer
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A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer. / 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; Flyger, Henrik; Nielsen, Sune F; Nordestgaard, Børge G; NBCS Collaborators.
In: Nature Genetics, Vol. 50, No. 7, 2018, p. 968-978.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer
AU - Wu, Lang
AU - Shi, Wei
AU - Long, Jirong
AU - Guo, Xingyi
AU - Michailidou, Kyriaki
AU - Beesley, Jonathan
AU - Bolla, Manjeet K
AU - Shu, Xiao-Ou
AU - Lu, Yingchang
AU - Cai, Qiuyin
AU - Al-Ejeh, Fares
AU - Rozali, Esdy
AU - Wang, Qin
AU - Dennis, Joe
AU - Li, Bingshan
AU - Zeng, Chenjie
AU - Feng, Helian
AU - Gusev, Alexander
AU - Barfield, Richard T
AU - Andrulis, Irene L
AU - Anton-Culver, Hoda
AU - Arndt, Volker
AU - Aronson, Kristan J
AU - Auer, Paul L
AU - Barrdahl, Myrto
AU - Baynes, Caroline
AU - Beckmann, Matthias W
AU - Benitez, Javier
AU - Bermisheva, Marina
AU - Blomqvist, Carl
AU - Bogdanova, Natalia V
AU - Bojesen, Stig E
AU - Brauch, Hiltrud
AU - Brenner, Hermann
AU - Brinton, Louise
AU - Broberg, Per
AU - Brucker, Sara Y
AU - Burwinkel, Barbara
AU - Caldés, Trinidad
AU - Canzian, Federico
AU - Carter, Brian D
AU - Castelao, J Esteban
AU - Chang-Claude, Jenny
AU - Chen, Xiaoqing
AU - Cheng, Ting-Yuan David
AU - Christiansen, Hans
AU - Clarke, Christine L
AU - Flyger, Henrik
AU - Nielsen, Sune F
AU - Nordestgaard, Børge G
AU - NBCS Collaborators
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
U2 - 10.1038/s41588-018-0132-x
DO - 10.1038/s41588-018-0132-x
M3 - Journal article
C2 - 29915430
VL - 50
SP - 968
EP - 978
JO - Nature Genetics
JF - Nature Genetics
SN - 1061-4036
IS - 7
ER -
ID: 213863172