Please use this identifier to cite or link to this item: https://doi.org/10.1056/NEJMoa1913948
Title: Breast cancer risk genes - Association analysis in more than 113,000 women
Authors: Dorling, L
Carvalho, S
Allen, J
Gonzalez-Neira, A
Luccarini, C
Wahlstrom, C
Pooley, KA
Parsons, MT
Fortuno, C
Wang, Q
Bolla, MK
Dennis, J
Keeman, R
Alonso, MR
Alvarez, N
Herraez, B
Fernandez, V
Nunez-Torres, R
Osorio, A
Valcich, J
Li, M
Tongren, T
Harrington, PA
Baynes, C
Conroy, DM
Decker, B
Fachal, L
Mavaddat, N
Ahearn, T
Aittomaki, K
Antonenkova, NN
Arnold, N
Arveux, P
Ausems, MGEM
Auvinen, P
Becher, H
Beckmann, MW
Behrens, S
Bermisheva, M
Bialkowska, K
Blomqvist, C
Bogdanova, NV
Bogdanova-Markov, N
Bojesen, SE
Bonanni, B
Borresen-Dale, AL
Brauch, H
Bremer, M
Briceno, I
Bruning, T
Burwinkel, B
Cameron, DA
Camp, NJ
Campbell, A
Carracedo, A
Castelao, JE
Cessna, MH
Chanock, SJ
Christiansen, H
Collee, JM
Cordina-Duverger, E
Cornelissen, S
Czene, K
Dork, T
Ekici, AB
Engel, C
Eriksson, M
Fasching, PA
Figueroa, J
Flyger, H
Forsti, A
Gabrielson, M
Gago-Dominguez, M
Georgoulias, V
Gil, F
Giles, GG
Glendon, G
Gomez Garcia, EB
Grenaker Alnaes, GI
Guenel, P
Hadjisavvas, A
Haeberle, L
Hahnen, E
Hall, P
Hamann, U
Harkness, EF
Hartikainen, JM
Hartman, M 
He, W
Heemskerk-Gerritsen, BAM
Hillemanns, P
Hogervorst, FBL
Hollestelle, A
Ho, WK
Hooning, MJ
Howell, A
Humphreys, K
Idris, F
Jakubowska, A
Jung, A
Li, J 
Keywords: Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Breast Neoplasms
Female
Genetic Predisposition to Disease
Genetic Variation
Humans
Logistic Models
Middle Aged
Mutation, Missense
Odds Ratio
Risk
Sequence Analysis, DNA
Young Adult
Issue Date: 4-Feb-2021
Publisher: Massachusetts Medical Society
Citation: Dorling, L, Carvalho, S, Allen, J, Gonzalez-Neira, A, Luccarini, C, Wahlstrom, C, Pooley, KA, Parsons, MT, Fortuno, C, Wang, Q, Bolla, MK, Dennis, J, Keeman, R, Alonso, MR, Alvarez, N, Herraez, B, Fernandez, V, Nunez-Torres, R, Osorio, A, Valcich, J, Li, M, Tongren, T, Harrington, PA, Baynes, C, Conroy, DM, Decker, B, Fachal, L, Mavaddat, N, Ahearn, T, Aittomaki, K, Antonenkova, NN, Arnold, N, Arveux, P, Ausems, MGEM, Auvinen, P, Becher, H, Beckmann, MW, Behrens, S, Bermisheva, M, Bialkowska, K, Blomqvist, C, Bogdanova, NV, Bogdanova-Markov, N, Bojesen, SE, Bonanni, B, Borresen-Dale, AL, Brauch, H, Bremer, M, Briceno, I, Bruning, T, Burwinkel, B, Cameron, DA, Camp, NJ, Campbell, A, Carracedo, A, Castelao, JE, Cessna, MH, Chanock, SJ, Christiansen, H, Collee, JM, Cordina-Duverger, E, Cornelissen, S, Czene, K, Dork, T, Ekici, AB, Engel, C, Eriksson, M, Fasching, PA, Figueroa, J, Flyger, H, Forsti, A, Gabrielson, M, Gago-Dominguez, M, Georgoulias, V, Gil, F, Giles, GG, Glendon, G, Gomez Garcia, EB, Grenaker Alnaes, GI, Guenel, P, Hadjisavvas, A, Haeberle, L, Hahnen, E, Hall, P, Hamann, U, Harkness, EF, Hartikainen, JM, Hartman, M, He, W, Heemskerk-Gerritsen, BAM, Hillemanns, P, Hogervorst, FBL, Hollestelle, A, Ho, WK, Hooning, MJ, Howell, A, Humphreys, K, Idris, F, Jakubowska, A, Jung, A, Li, J (2021-02-04). Breast cancer risk genes - Association analysis in more than 113,000 women. New England Journal of Medicine 384 (5) : 428-439. ScholarBank@NUS Repository. https://doi.org/10.1056/NEJMoa1913948
Abstract: BACKGROUND Genetic testing for breast cancer susceptibility is widely used, but for many genes, evidence of an association with breast cancer is weak, underlying risk estimates are imprecise, and reliable subtype-specific risk estimates are lacking. METHODS We used a panel of 34 putative susceptibility genes to perform sequencing on samples from 60,466 women with breast cancer and 53,461 controls. In separate analyses for protein-truncating variants and rare missense variants in these genes, we estimated odds ratios for breast cancer overall and tumor subtypes. We evaluated missense-variant associations according to domain and classification of pathogenicity. RESULTS Protein-truncating variants in 5 genes (ATM, BRCA1, BRCA2, CHEK2, and PALB2) were associated with a risk of breast cancer overall with a P value of less than 0.0001. Protein-truncating variants in 4 other genes (BARD1, RAD51C, RAD51D, and TP53) were associated with a risk of breast cancer overall with a P value of less than 0.05 and a Bayesian false-discovery probability of less than 0.05. For protein-truncating variants in 19 of the remaining 25 genes, the upper limit of the 95% confidence interval of the odds ratio for breast cancer overall was less than 2.0. For protein-truncating variants in ATM and CHEK2, odds ratios were higher for estrogen receptor (ER)-positive disease than for ER-negative disease; for protein-truncating variants in BARD1, BRCA1, BRCA2, PALB2, RAD51C, and RAD51D, odds ratios were higher for ER-negative disease than for ER-positive disease. Rare missense variants (in aggregate) in ATM, CHEK2, and TP53 were associated with a risk of breast cancer overall with a P value of less than 0.001. For BRCA1, BRCA2, and TP53, missense variants (in aggregate) that would be classified as pathogenic according to standard criteria were associated with a risk of breast cancer overall, with the risk being similar to that of protein-truncating variants. CONCLUSIONS The results of this study define the genes that are most clinically useful for inclusion on panels for the prediction of breast cancer risk, as well as provide estimates of the risks associated with protein-truncating variants, to guide genetic counseling.
Source Title: New England Journal of Medicine
URI: https://scholarbank.nus.edu.sg/handle/10635/209052
ISSN: 00284793
15334406
DOI: 10.1056/NEJMoa1913948
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