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Genome-wide association study of germline variants and breast cancer-specific mortality.

Authors :
Escala-Garcia, Maria
Escala-Garcia, Maria
Guo, Qi
Dörk, Thilo
Canisius, Sander
Keeman, Renske
Dennis, Joe
Beesley, Jonathan
Lecarpentier, Julie
Bolla, Manjeet K
Wang, Qin
Abraham, Jean
Andrulis, Irene L
Anton-Culver, Hoda
Arndt, Volker
Auer, Paul L
Beckmann, Matthias W
Behrens, Sabine
Benitez, Javier
Bermisheva, Marina
Bernstein, Leslie
Blomqvist, Carl
Boeckx, Bram
Bojesen, Stig E
Bonanni, Bernardo
Børresen-Dale, Anne-Lise
Brauch, Hiltrud
Brenner, Hermann
Brentnall, Adam
Brinton, Louise
Broberg, Per
Brock, Ian W
Brucker, Sara Y
Burwinkel, Barbara
Caldas, Carlos
Caldés, Trinidad
Campa, Daniele
Canzian, Federico
Carracedo, Angel
Carter, Brian D
Castelao, Jose E
Chang-Claude, Jenny
Chanock, Stephen J
Chenevix-Trench, Georgia
Cheng, Ting-Yuan David
Chin, Suet-Feung
Clarke, Christine L
NBCS Collaborators
Cordina-Duverger, Emilie
Couch, Fergus J
Cox, David G
Cox, Angela
Cross, Simon S
Czene, Kamila
Daly, Mary B
Devilee, Peter
Dunn, Janet A
Dunning, Alison M
Durcan, Lorraine
Dwek, Miriam
Earl, Helena M
Ekici, Arif B
Eliassen, A Heather
Ellberg, Carolina
Engel, Christoph
Eriksson, Mikael
Evans, D Gareth
Figueroa, Jonine
Flesch-Janys, Dieter
Flyger, Henrik
Gabrielson, Marike
Gago-Dominguez, Manuela
Galle, Eva
Gapstur, Susan M
García-Closas, Montserrat
García-Sáenz, José A
Gaudet, Mia M
George, Angela
Georgoulias, Vassilios
Giles, Graham G
Glendon, Gord
Goldgar, David E
González-Neira, Anna
Alnæs, Grethe I Grenaker
Grip, Mervi
Guénel, Pascal
Haeberle, Lothar
Hahnen, Eric
Haiman, Christopher A
Håkansson, Niclas
Hall, Per
Hamann, Ute
Hankinson, Susan
Harkness, Elaine F
Harrington, Patricia A
Hart, Steven N
Hartikainen, Jaana M
Hein, Alexander
Hillemanns, Peter
Hiller, Louise
Holleczek, Bernd
Escala-Garcia, Maria
Escala-Garcia, Maria
Guo, Qi
Dörk, Thilo
Canisius, Sander
Keeman, Renske
Dennis, Joe
Beesley, Jonathan
Lecarpentier, Julie
Bolla, Manjeet K
Wang, Qin
Abraham, Jean
Andrulis, Irene L
Anton-Culver, Hoda
Arndt, Volker
Auer, Paul L
Beckmann, Matthias W
Behrens, Sabine
Benitez, Javier
Bermisheva, Marina
Bernstein, Leslie
Blomqvist, Carl
Boeckx, Bram
Bojesen, Stig E
Bonanni, Bernardo
Børresen-Dale, Anne-Lise
Brauch, Hiltrud
Brenner, Hermann
Brentnall, Adam
Brinton, Louise
Broberg, Per
Brock, Ian W
Brucker, Sara Y
Burwinkel, Barbara
Caldas, Carlos
Caldés, Trinidad
Campa, Daniele
Canzian, Federico
Carracedo, Angel
Carter, Brian D
Castelao, Jose E
Chang-Claude, Jenny
Chanock, Stephen J
Chenevix-Trench, Georgia
Cheng, Ting-Yuan David
Chin, Suet-Feung
Clarke, Christine L
NBCS Collaborators
Cordina-Duverger, Emilie
Couch, Fergus J
Cox, David G
Cox, Angela
Cross, Simon S
Czene, Kamila
Daly, Mary B
Devilee, Peter
Dunn, Janet A
Dunning, Alison M
Durcan, Lorraine
Dwek, Miriam
Earl, Helena M
Ekici, Arif B
Eliassen, A Heather
Ellberg, Carolina
Engel, Christoph
Eriksson, Mikael
Evans, D Gareth
Figueroa, Jonine
Flesch-Janys, Dieter
Flyger, Henrik
Gabrielson, Marike
Gago-Dominguez, Manuela
Galle, Eva
Gapstur, Susan M
García-Closas, Montserrat
García-Sáenz, José A
Gaudet, Mia M
George, Angela
Georgoulias, Vassilios
Giles, Graham G
Glendon, Gord
Goldgar, David E
González-Neira, Anna
Alnæs, Grethe I Grenaker
Grip, Mervi
Guénel, Pascal
Haeberle, Lothar
Hahnen, Eric
Haiman, Christopher A
Håkansson, Niclas
Hall, Per
Hamann, Ute
Hankinson, Susan
Harkness, Elaine F
Harrington, Patricia A
Hart, Steven N
Hartikainen, Jaana M
Hein, Alexander
Hillemanns, Peter
Hiller, Louise
Holleczek, Bernd
Source :
British journal of cancer; vol 120, iss 6, 647-657; 0007-0920
Publication Year :
2019

Abstract

BackgroundWe examined the associations between germline variants and breast cancer mortality using a large meta-analysis of women of European ancestry.MethodsMeta-analyses included summary estimates based on Cox models of twelve datasets using ~10.4 million variants for 96,661 women with breast cancer and 7697 events (breast cancer-specific deaths). Oestrogen receptor (ER)-specific analyses were based on 64,171 ER-positive (4116) and 16,172 ER-negative (2125) patients. We evaluated the probability of a signal to be a true positive using the Bayesian false discovery probability (BFDP).ResultsWe did not find any variant associated with breast cancer-specific mortality at P < 5 × 10-8. For ER-positive disease, the most significantly associated variant was chr7:rs4717568 (BFDP = 7%, P = 1.28 × 10-7, hazard ratio [HR] = 0.88, 95% confidence interval [CI] = 0.84-0.92); the closest gene is AUTS2. For ER-negative disease, the most significant variant was chr7:rs67918676 (BFDP = 11%, P = 1.38 × 10-7, HR = 1.27, 95% CI = 1.16-1.39); located within a long intergenic non-coding RNA gene (AC004009.3), close to the HOXA gene cluster.ConclusionsWe uncovered germline variants on chromosome 7 at BFDP < 15% close to genes for which there is biological evidence related to breast cancer outcome. However, the paucity of variants associated with mortality at genome-wide significance underpins the challenge in providing genetic-based individualised prognostic information for breast cancer patients.

Details

Database :
OAIster
Journal :
British journal of cancer; vol 120, iss 6, 647-657; 0007-0920
Notes :
application/pdf, British journal of cancer vol 120, iss 6, 647-657 0007-0920
Publication Type :
Electronic Resource
Accession number :
edsoai.on1287297447
Document Type :
Electronic Resource