Abstract
Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 × 10-53). InBRCA2 carriers, the strongest association with BC risk was seen for the overall BCPRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 × 10-20). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management.
Original language | English |
---|---|
Number of pages | 15 |
Journal | Journal of the National Cancer Institute |
Volume | 109 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1 Jul 2017 |
Externally published | Yes |
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In: Journal of the National Cancer Institute, Vol. 109, No. 7, 01.07.2017.
Research output: Contribution to journal › Article › Research › peer-review
TY - JOUR
T1 - Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers
AU - Kuchenbaecker, Karoline B.
AU - McGuffog, Lesley
AU - Barrowdale, Daniel
AU - Lee, Andrew
AU - Soucy, Penny
AU - Dennis, Joe
AU - Domchek, Susan M.
AU - Robson, Mark
AU - Spurdle, Amanda B.
AU - Ramus, Susan J.
AU - Mavaddat, Nasim
AU - Terry, Mary Beth
AU - Neuhausen, Susan L.
AU - Schmutzler, Rita Katharina
AU - Simard, Jacques
AU - Pharoah, Paul D.P.
AU - Offit, Kenneth
AU - Couch, Fergus J.
AU - Chenevix-Trench, Georgia
AU - Easton, Douglas F.
AU - Antoniou, Antonis C.
AU - Healey, Sue
AU - Lush, Michael
AU - Hamann, Ute
AU - Southey, Melissa
AU - John, Esther M.
AU - Chung, Wendy K.
AU - Daly, Mary B.
AU - Buys, Saundra S.
AU - Goldgar, David E.
AU - Dorfling, Cecilia M.
AU - van Rensburg, Elizabeth J.
AU - Ding, Yuan Chun
AU - Ejlertsen, Bent
AU - Gerdes, Anne Marie
AU - Hansen, Thomas V.O.
AU - Slager, Susan
AU - Hallberg, Emily
AU - Benitez, Javier
AU - Osorio, Ana
AU - Cohen, Nancy
AU - Lawler, William
AU - Weitzel, Jeffrey N.
AU - Peterlongo, Paolo
AU - Pensotti, Valeria
AU - Dolcetti, Riccardo
AU - Barile, Monica
AU - Bonanni, Bernardo
AU - Azzollini, Jacopo
AU - Manoukian, Siranoush
AU - Peissel, Bernard
AU - Radice, Paolo
AU - Savarese, Antonella
AU - Papi, Laura
AU - Giannini, Giuseppe
AU - Fostira, Florentia
AU - Konstantopoulou, Irene
AU - Adlard, Julian
AU - Brewer, Carole
AU - Cook, Jackie
AU - Davidson, Rosemarie
AU - Eccles, Diana
AU - Eeles, Ros
AU - Ellis, Steve
AU - EMBRACE, null
AU - Frost, Debra
AU - Hodgson, Shirley
AU - Izatt, Louise
AU - Lalloo, Fiona
AU - Ong, Kai ren
AU - Godwin, Andrew K.
AU - Arnold, Norbert
AU - Dworniczak, Bernd
AU - Engel, Christoph
AU - Gehrig, Andrea
AU - Hahnen, Eric
AU - Hauke, Jan
AU - Kast, Karin
AU - Meindl, Alfons
AU - Niederacher, Dieter
AU - Varon-Mateeva, Raymonda
AU - Wang-Gohrke, Shan
AU - Wappenschmidt, Barbara
AU - Barjhoux, Laure
AU - Collonge-Rame, Marie Agne s.
AU - Elan, Camille
AU - Golmard, Lisa
AU - Barouk-Simonet, Emmanuelle
AU - Lesueur, Fabienne
AU - Mazoyer, Sylvie
AU - Sokolowska, Joanna
AU - StoppaLyonnet, Dominique
AU - Isaacs, Claudine
AU - Claes, Kathleen B.M.
AU - Poppe, Bruce
AU - de la Hoya, Miguel
AU - Garcia-Barberan, Vanesa
AU - Aittomäki, Kristiina
AU - Nevanlinna, Heli
AU - Ausems, Margreet G.E.M.
AU - de Lange, J. L.
AU - Gomez Garcia, Encarna B.
AU - HEBON, null
AU - Hogervorst, Frans B.L.
AU - Kets, Carolien M.
AU - Meijers-Heijboer, Hanne E.J.
AU - Oosterwijk, Jan C.
AU - Rookus, Matti A.
AU - van Asperen, Christi J.
AU - van den Ouweland, Ans M.W.
AU - van Doorn, Helena C.
AU - van Os, Theo A.M.
AU - Kwong, Ava
AU - Olah, Edith
AU - Diez, Orland
AU - Brunet, Joan
AU - Lazaro, Conxi
AU - Teulé, Alex
AU - Gronwald, Jacek
AU - Jakubowska, Anna
AU - Kaczmarek, Katarzyna
AU - Lubinski, Jan
AU - Sukiennicki, Grzegorz
AU - Barkardottir, Rosa B.
AU - Chiquette, Jocelyne
AU - Agata, Simona
AU - Montagna, Marco
AU - Teixeira, Manuel R.
AU - Park, Sue Kyung
AU - Olswold, Curtis
AU - Tischkowitz, Marc
AU - Foretova, Lenka
AU - Gaddam, Pragna
AU - Vijai, Joseph
AU - Pfeiler, Georg
AU - Rappaport-Fuerhauser, Christine
AU - Singer, Christian F.
AU - Tea, Muy Kheng M.
AU - Greene, Mark H.
AU - Loud, Jennifer T.
AU - Rennert, Gad
AU - Imyanitov, Evgeny N.
AU - Hulick, Peter J.
AU - Hays, John L.
AU - Piedmonte, Marion
AU - Rodriguez, Gustavo C.
AU - Martyn, Julie
AU - Glendon, Gord
AU - Mulligan, Anna Marie
AU - Andrulis, Irene L.
AU - Toland, Amanda Ewart
AU - Jensen, Uffe Birk
AU - Kruse, Torben A.
AU - Pedersen, Inge Sokilde
AU - Thomassen, Mads
AU - Caligo, Maria A.
AU - Teo, Soo Hwang
AU - Berger, Raanan
AU - Friedman, Eitan
AU - Laitman, Yael
AU - Arver, Brita
AU - Borg, Ake
AU - Ehrencrona, Hans
AU - Rantala, Johanna
AU - Olopade, Olufunmilayo I.
AU - Ganz, Patricia A.
AU - Nussbaum, Robert L.
AU - Bradbury, Angela R.
AU - Nathanson, Katherine L.
AU - Arun, Banu K.
AU - James, Paul
AU - Karlan, Beth Y.
AU - Lester, Jenny
AU - GEMO Study Collaborators
AU - KCon Fab Investigators
PY - 2017/7/1
Y1 - 2017/7/1
N2 - Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 × 10-53). InBRCA2 carriers, the strongest association with BC risk was seen for the overall BCPRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 × 10-20). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management.
AB - Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 × 10-53). InBRCA2 carriers, the strongest association with BC risk was seen for the overall BCPRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 × 10-20). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management.
UR - http://www.scopus.com/inward/record.url?scp=85016213460&partnerID=8YFLogxK
U2 - 10.1093/jnci/djw302
DO - 10.1093/jnci/djw302
M3 - Article
C2 - 28376175
AN - SCOPUS:85016213460
SN - 0027-8874
VL - 109
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 7
ER -