biostudies-literatureMorra ACancer Research UKWorld Health OrganizationNIEHS NIH HHSMinistère de l&apos;Économie, de la Science et de l&apos;Innovation - QuébecCancer Foundation Finland srNational Institutes of HealthCanadian Institutes of Health ResearchEuropean Research CouncilPost-Cancer GWASMedical Research CouncilHorizon 2020 Research and Innovation ProgrammeU.S. Department of DefenseGAME-ONNational Institute for Health Research (NIHR)NCI NIH HHSNIH HHS86https://www.ebi.ac.uk/biostudies/studies/S-EPMC8371820biostudies-literatureUnknown23(1)<h4>Background</h4>Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.<h4>Methods</h4>We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assessBreast cancer research : BCRAssociation of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.PMC8371820C5047/A10692PSRSIIRI-701200109U19 CA148537C1287/A16563C12292/A11174C1287/A10118C1281/A12014C1287/A10710C8197/A16565R01 CA128978GPH-12934463378420013229186U19 CA1480651U19 CA14806514136165611U19 CA148537G10001431656516563634935NF-SI-0512-10114P30 ES010126294576MR/N003284/1001140141P50 CA058223C5047/A8384W81XWH-10-1-0341MR/M012190/1G04015271U19 CA148112U19 CA148112CA128978C5047/A15007HEALTH-F2-2009-223175Mavroudis DShah MSchlichting EFlyger HGraham JDDork TSouthey MCBeane Freeman LEJung AYCross SSKiserud CEFritschi LClarke CLNBCS CollaboratorsAhearn TULubinski JPrentice RTollenaar RAEMLe Marchand LKoutros STerry MBGrenaker Alnæs GIEaston DFHoppe RMuranen TABaxter RWolk ATeras LRReinertsen KVSahlberg KKKitahara CMMartinez MESauer TEkici ABBecher HGundert MRack BHall PHooning MJCanisius SPeissel BSchmutzler RKMarsh DBeesley JHe WBrenner HTruong TWinqvist RPrajzendanc KLush MCanzian FHart SNDwek MLacey JVKaaks RBrauch HRiis MHakansson NGarcia-Saenz JAHolmen MMBojesen SEPlaseska-Karanfilska DCaan BKurian AWDaly MBBehrens SJohn EMSurowy HManoochehri MKeupers MZiogas APeterlongo PHaakensen VAugustinsson ASachchithananthan MCox AGago-Dominguez MEccles DMLindblom AEscala-Garcia MOttestad LFossa ALambrechts DRennert GBuys SSYip DSimpson PRoylance RDossus LClarke CDunning AMRennert HSGrip MGarcia-Closas MAndrulis ILEngebraten OKristensen VNOlsson HGuenel PPharoah PDPCarpenter JJager ANordestgaard BGSwerdlow AJWang QKeeman REvans DGCouch FJDavis ATapper WJHurson ANChenevix-Trench GBolla MKChanock SJHartikainen JMMilne RLAuer PLChang-Claude JMorra AMulligan AMHahnen EHowell AFasching PAOlshan AFNielsen SFSchmidt MKNevanlinna HOrr NColonna SVMichailidou KArndt VCheng TDEriksson MKraft PMartens JWMSaloustros EAnton-Culver HScott CVachon CMGeisler JKaresen RStone JLinet MPresneau NABCTB InvestigatorsTomlinson IHunter DJLuben RNTroester MAScott RBeckmann MWGiles GGTamimi RMHaiman CABorresen-Dale ALSchneeweiss APark-Simon TWCzene KMargolin SPatel AVHartmann ANewman WGRomero ARuebner MDennis JSawyer EJEliassen AHRhenius VSmichkoska SHopper JLNaume BHelland ACastelao JEHamann UkConFab InvestigatorsJakubowska AMannermaa AJanni WPathmanathan NBruning TCampa DfalseAssociation of germline genetic variants with breast cancer-specific survival in patient subgroups defined by clinic-pathological variables related to tumor biology and type of systemic treatment.<h4>Background</h4>Given the high heterogeneity among breast tumors, associations between common germline genetic variants and survival that may exist within specific subgroups could go undetected in an unstratified set of breast cancer patients.<h4>Methods</h4>We performed genome-wide association analyses within 15 subgroups of breast cancer patients based on prognostic factors, including hormone receptors, tumor grade, age, and type of systemic treatment. Analyses were based on 91,686 female patients of European ancestry from the Breast Cancer Association Consortium, including 7531 breast cancer-specific deaths over a median follow-up of 8.1 years. Cox regression was used to assess associations of common germline variants with 15-year and 5-year breast cancer-specific survival. We assess2021-01-01T00:00:00Z2021 Aug2026-05-07T23:21:11.757Z2026-04-07T23:23:17.705ZS-EPMC83718203440784510.1186/s13058-021-01450-7