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A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer.

Authors :
Wu L
Shi W
Long J
Guo X
Michailidou K
Beesley J
Bolla MK
Shu XO
Lu Y
Cai Q
Al-Ejeh F
Rozali E
Wang Q
Dennis J
Li B
Zeng C
Feng H
Gusev A
Barfield RT
Andrulis IL
Anton-Culver H
Arndt V
Aronson KJ
Auer PL
Barrdahl M
Baynes C
Beckmann MW
Benitez J
Bermisheva M
Blomqvist C
Bogdanova NV
Bojesen SE
Brauch H
Brenner H
Brinton L
Broberg P
Brucker SY
Burwinkel B
Caldés T
Canzian F
Carter BD
Castelao JE
Chang-Claude J
Chen X
Cheng TD
Christiansen H
Clarke CL
Collée M
Cornelissen S
Couch FJ
Cox D
Cox A
Cross SS
Cunningham JM
Czene K
Daly MB
Devilee P
Doheny KF
Dörk T
Dos-Santos-Silva I
Dumont M
Dwek M
Eccles DM
Eilber U
Eliassen AH
Engel C
Eriksson M
Fachal L
Fasching PA
Figueroa J
Flesch-Janys D
Fletcher O
Flyger H
Fritschi L
Gabrielson M
Gago-Dominguez M
Gapstur SM
García-Closas M
Gaudet MM
Ghoussaini M
Giles GG
Goldberg MS
Goldgar DE
González-Neira A
Guénel P
Hahnen E
Haiman CA
Håkansson N
Hall P
Hallberg E
Hamann U
Harrington P
Hein A
Hicks B
Hillemanns P
Hollestelle A
Hoover RN
Hopper JL
Huang G
Humphreys K
Hunter DJ
Jakubowska A
Janni W
John EM
Johnson N
Jones K
Jones ME
Jung A
Kaaks R
Kerin MJ
Khusnutdinova E
Kosma VM
Kristensen VN
Lambrechts D
Le Marchand L
Li J
Lindström S
Lissowska J
Lo WY
Loibl S
Lubinski J
Luccarini C
Lux MP
MacInnis RJ
Maishman T
Kostovska IM
Mannermaa A
Manson JE
Margolin S
Mavroudis D
Meijers-Heijboer H
Meindl A
Menon U
Meyer J
Mulligan AM
Neuhausen SL
Nevanlinna H
Neven P
Nielsen SF
Nordestgaard BG
Olopade OI
Olson JE
Olsson H
Peterlongo P
Peto J
Plaseska-Karanfilska D
Prentice R
Presneau N
Pylkäs K
Rack B
Radice P
Rahman N
Rennert G
Rennert HS
Rhenius V
Romero A
Romm J
Rudolph A
Saloustros E
Sandler DP
Sawyer EJ
Schmidt MK
Schmutzler RK
Schneeweiss A
Scott RJ
Scott CG
Seal S
Shah M
Shrubsole MJ
Smeets A
Southey MC
Spinelli JJ
Stone J
Surowy H
Swerdlow AJ
Tamimi RM
Tapper W
Taylor JA
Terry MB
Tessier DC
Thomas A
Thöne K
Tollenaar RAEM
Torres D
Truong T
Untch M
Vachon C
Van Den Berg D
Vincent D
Waisfisz Q
Weinberg CR
Wendt C
Whittemore AS
Wildiers H
Willett WC
Winqvist R
Wolk A
Xia L
Yang XR
Ziogas A
Ziv E
Dunning AM
Pharoah PDP
Simard J
Milne RL
Edwards SL
Kraft P
Easton DF
Chenevix-Trench G
Zheng W
Source :
Nature genetics [Nat Genet] 2018 Jul; Vol. 50 (7), pp. 968-978. Date of Electronic Publication: 2018 Jun 18.
Publication Year :
2018

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 <superscript>-6</superscript> , 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.

Details

Language :
English
ISSN :
1546-1718
Volume :
50
Issue :
7
Database :
MEDLINE
Journal :
Nature genetics
Publication Type :
Academic Journal
Accession number :
29915430
Full Text :
https://doi.org/10.1038/s41588-018-0132-x