MétaCan
Menu
Back to cohort
Record W2465730694 · doi:10.1186/s13058-016-0718-0

Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

2016· article· en· W2465730694 on OpenAlexafffund
Chenjie Zeng, Xingyi Guo, Jirong Long, Karoline Kuchenbaecker, Arnaud Droit, Kyriaki Michailidou, Maya Ghoussaini, Siddhartha Kar, Adam N. Freeman, John L. Hopper, Roger L. Milne, Manjeet K. Bolla, Joe Dennis, Simona Agata, Shahana Ahmed, Kristiina Aittomäki, Irene L. Andrulis, Hoda Anton‐Culver, Natalia Antonenkova, Aðalgeir Arason, Volker Arndt, Banu Arun, Brita Arver, François Bacot, Daniel Barrowdale, Caroline Baynes, Alicia Beeghly‐Fadiel, Javier Benı́tez, Marina Bermisheva, Carl Blomqvist, William J. Blot, Natalia Bogdanova, Stig E. Bojesen, Bernardo Bonanni, Anne‐Lise Børresen‐Dale, Judith S. Brand, Hiltrud Brauch, Paul Brennan, Hermann Brenner, Annegien Broeks, Thomas Brüning, Barbara Burwinkel, Saundra S. Buys, Qiuyin Cai, Trinidad Caldés, Ian Campbell, Jane Carpenter, Jenny Chang‐Claude, Ji‐Yeob Choi, Kathleen Claes, Christine L. Clarke, Angela Cox, Simon S. Cross, Kamila Czene, Mary B. Daly, Miguel de la Hoya, Kim De Leeneer, Peter Devilee, Orland Dı́ez, Susan M. Domchek, Michele M. Doody, Cecilia M. Dorfling, Thilo Dörk, Isabel dos‐Santos‐Silva, Martine Dumont, Miriam Dwek, Bernd Dworniczak, Kathleen M. Egan, Ursula Eilber, Zakaria Einbeigi, Bent Ejlertsen, Debra Frost, Fiona Lalloo, Peter A. Fasching, Jonine D. Figueroa, Henrik Flyger, Michael Friedländer, Eitan Friedman, Gaetana Gambino, Yu‐Tang Gao, Judy E. Garber, Montserrat García‐Closas, Andrea Gehrig, Francesca Damiola, Fabienne Lesueur, Sylvie Mazoyer, Dominique Stoppa‐Lyonnet, Graham G. Giles, Andrew K. Godwin, David E. Goldgar, Anna González‐Neira, Mark H. Greene, Pascal Guénel, Lothar Haeberle, Christopher A. Haiman, Emily Hallberg, Ute Hamann, Thomas van Overeem Hansen, Steven N. Hart, Jaana M. Hartikainen, Mikael Hartman, Norhashimah Hassan, Sue Healey, Frans B.L. Hogervorst, Senno Verhoef, Carolyn B. Hendricks, Peter Hillemanns, Antoinette Hollestelle, Peter J. Hulick, David J. Hunter, Evgeny N. Imyanitov, Claudine Isaacs, Hidemi Ito, Anna Jakubowska, Ramunas Janavicius, Katarzyna Jaworska–Bieniek, Uffe Birk Jensen, Esther M. John, Charles Joly Beauparlant, Michael E. Jones, Maria Kabisch, Daehee Kang, Beth Y. Karlan, Saila Kauppila, Michael J. Kerin, Sofia Khan, Э. К. Хуснутдинова, Julia A. Knight, Irene Konstantopoulou, Peter Kraft, Ava Kwong, Yael Laitman, Diether Lambrechts, Conxi Lázaro, Loı̈c Le Marchand, Chuen Neng Lee, Min Hyuk Lee, Jenny Lester, Jingmei Li, Annelie Liljegren, Annika Lindblom, Artitaya Lophatananon, Jan Lubiński, Siranoush Manoukian, Sara Margolin, Frederik Marmé, Keitaro Matsuo, Lesley McGuffog, Alfons Meindl, F. Ménégaux, Marco Montagna, Kenneth Muir, Anna Marie Mulligan, Katherine L. Nathanson, Susan L. Neuhausen, Heli Nevanlinna, Polly A. Newcomb, Silje Nord, Robert L. Nussbaum, Kenneth Offit, Edith Oláh, Olufunmilayo I. Olopade, Curtis Olswold, Ana Osório, Laura Papi, Tjoung‐Won Park‐Simon, Ylva Paulsson-Karlsson, Stéphanie Peeters, Bernard Peissel, Paolo Peterlongo, Julian Peto, Georg Pfeiler, Catherine M. Phelan, Nadège Presneau, Paolo Radice, Nazneen Rahman, Susan J. Ramus, Muhammad Usman Rashid, Gad Rennert, Kerstin Rhiem, Anja Rudolph, Ritu Salani, Suleeporn Sangrajrang, Elinor J. Sawyer, Marjanka K. Schmidt, Rita K. Schmutzler, Minouk J. Schoemaker, Peter Schürmann, Caroline Seynaeve, Chen‐Yang Shen, Martha J. Shrubsole, Xiao-Ou Shu, Alice J. Sigurdson, Christian F. Singer, Susan Slager, Penny Soucy, Melissa C. Southey, Doris Steinemann, Anthony J. Swerdlow, Csilla I. Szabo, Sandrine Tchatchou, Manuel R. Teixeira, Soo‐Hwang Teo, Mary Beth Terry, Daniel C. Tessier, Àlex Teulé, Mads Thomassen, Laima Tihomirova, Marc Tischkowitz, Amanda E. Toland, Nadine Tung, Clare Turnbull, Ans M.W. van den Ouweland, Elizabeth J. van Rensburg, David ven den Berg, Joseph Vijai, Shan Wang‐Gohrke, Jeffrey N. Weitzel, Alice S. Whittemore, Robert Winqvist, Tien Yin Wong, Anna H. Wu, Drakoulis Yannoukakos, Jyh-Cherng Yu, Paul D.P. Pharoah, Per Hall, Georgia Chenevix‐Trench, Alison M. Dunning, Jacques Simard, Fergus J. Couch, Antonis C. Antoniou, Douglas F. Easton, Wei Zheng

Bibliographic record

VenueBreast Cancer Research · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBRCA gene mutations in cancer
Canadian institutionsMcGill UniversityCentre hospitalier universitaire de QuébecPublic Health OntarioMcGill University and Génome Québec Innovation CentreUniversity Health NetworkUniversity of TorontoLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalUniversité Laval
FundersDivision of Cancer Epidemiology and Genetics, National Cancer InstituteMedical Research and Materiel CommandJonsson Comprehensive Cancer CenterNIH Office of the DirectorMedisinske fakultet, Universitetet i OsloNational Cancer InstituteEuropean Regional Development FundNorway GrantsSeventh Framework ProgrammeInstituto de Salud Carlos IIICancer Council NSWCancer Council VictoriaEuropean Social FundMedical Research CouncilCancer Center, University of KansasUniversity of California, San FranciscoNational Institutes of Healthlékařská fakulta Univerzity KarlovyInstitut Català de la SalutAkershus UniversitetssykehusLiga Portuguesa Contra o CancroMinistero dello Sviluppo EconomicoAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailUppsala UniversitetBerth von Kantzows StiftelseRadboud Universitair Medisch CentrumOulun YliopistoUniversitetet i OsloUniversitair Medisch Centrum GroningenLeids Universitair Medisch CentrumBiomedical Research CouncilClalit Health ServicesUniversitetet i BergenStichting Tegen KankerUmeå UniversitetFox Chase Cancer CenterKWF KankerbestrijdingMinistry of Public HealthNational Medical Research CouncilNorges ForskningsrådStockholms Läns LandstingU.S. ArmyLandspítali HáskólasjúkrahúsUniversitätsklinikum Hamburg-EppendorfDr. Ralph and Marian Falk Medical Research TrustIsrael Cancer AssociationDeutsche Gesetzliche UnfallversicherungHerlev HospitalLinköpings UniversitetMinistry of Health, Labour and WelfareGeneral Secretariat for Research and TechnologyRobert Bosch StiftungUniversitair Ziekenhuis GentGuy's and St Thomas' NHS Foundation TrustLunds UniversitetNederlandse Organisatie voor Wetenschappelijk OnderzoekMinistero della SaluteMinistry of Higher Education, MalaysiaCalifornia Breast Cancer Research ProgramMcGill UniversityUniverzita Karlova v PrazeYorkshire Cancer ResearchGeneralitat de CatalunyaCancerfondenKuopion Yliopistollinen SairaalaNational Health and Medical Research CouncilDeutsche KrebshilfeMinistry of Education, Science and TechnologyAcademia SinicaBreakthrough Breast CancerVrije Universiteit AmsterdamMinistério da Ciência, Tecnologia e InovaçãoOhio State UniversityCanadian Breast Cancer Research AllianceUniversiteit LeidenAcademy of FinlandKementerian Sains, Teknologi dan InovasiSingapore Eye Research InstituteAssociazione Italiana per la Ricerca sul CancroKarolinska InstitutetHungarian Scientific Research FundCancer Association of South AfricaLigue Contre le CancerUniversity of WestminsterVicHealthMedizinischen Hochschule HannoverCancer Institute NSWWellcome TrustAgence Nationale de la RechercheAmerican Cancer SocietyRadboud UniversiteitCancer AustraliaUniversiteit GentNational Breast Cancer FoundationFisher Center for Alzheimer's Research FoundationProstate Cancer Foundation of AustraliaCanadian Institutes of Health ResearchLietuvos Mokslo TarybaEuropean CommissionUniversity of CambridgeBreast Cancer Research TrustHellenic Cooperative Oncology GroupNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchNational Research FoundationCenters for Disease Control and PreventionJewish General HospitalNational Institute for Health and Care ResearchWorld Health OrganizationNational Center for Advancing Translational SciencesBundesministerium für Bildung und ForschungFrancis Crick InstituteCancer Research UKU.S. Department of DefenseFundación Mutua MadrileñaHamburger KrebsgesellschaftMcGill University Health CentreInstitute of Biomedical Sciences, Academia SinicaDavid F. and Margaret T. Grohne Family FoundationCancer Council South AustraliaIstituto Oncologico VenetoInstitut National Du CancerMemorial Sloan-Kettering Cancer CenterKreftforeningenBreast Cancer Research FoundationHelsingin ja Uudenmaan SairaanhoitopiiriHaukeland UniversitetssjukehusMinistry of Higher EducationMinistère du Développement Économique, de l’Innovation et de l’ExportationLon V. Smith FoundationGeorgetown UniversityCancer Council TasmaniaItä-Suomen YliopistoNRG OncologyUSC Norris Comprehensive Cancer CenterPink Ribbons ProjectFondation du cancer du sein du QuébecKansas Bioscience AuthorityIstituto Toscano TumoriVictorian Cancer AgencyFondation de FranceUniversity of PennsylvaniaSundhed og Sygdom, Det Frie ForskningsrådNational Research Foundation of KoreaCalifornia Department of Public HealthKing's College LondonJess and Mildred Fisher Center for Familial Cancer ResearchSusan G. Komen for the CureVirginia Department of HealthTaiwan BiobankSahlgrenska UniversitetssjukhusetRoyal Marsden NHS Foundation TrustU.S. Department of Health and Human ServicesErasmus Medisch CentrumMinisterio de Economía y CompetitividadMinistry of Education, Culture, Sports, Science and TechnologyOvarian Cancer Research FundDeutsches KrebsforschungszentrumAgency for Science, Technology and ResearchUniversity of ChicagoVanderbilt UniversityFonds Wetenschappelijk OnderzoekBeth Israel Deaconess Medical Center
KeywordsBreast cancerSurgical oncologyIdentification (biology)Locus (genetics)Association (psychology)Genetic associationComputational biologyMedicineGenome-wide association studyScale (ratio)BiologyGeneticsOncologyInternal medicineCancerSingle-nucleotide polymorphismGeneGenotypePsychologyCartographyGeography

Abstract

fetched live from OpenAlex

BACKGROUND: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. METHOD: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300 imputed genetic variants in 48,155 cases and 43,612 controls of European descent, 6269 cases and 6624 controls of East Asian descent and 1116 cases and 932 controls of African descent in the Breast Cancer Association Consortium (BCAC; http://bcac.ccge.medschl.cam.ac.uk/ ), and in 15,252 BRCA1 mutation carriers in the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). Stepwise regression analyses were performed to identify independent association signals. Data from the Encyclopedia of DNA Elements project (ENCODE) and the Cancer Genome Atlas (TCGA) were used for functional annotation. RESULTS: Analysis of data from European descendants found evidence for four independent association signals at 12p11, represented by rs7297051 (odds ratio (OR) = 1.09, 95 % confidence interval (CI) = 1.06-1.12; P = 3 × 10(-9)), rs805510 (OR = 1.08, 95 % CI = 1.04-1.12, P = 2 × 10(-5)), and rs1871152 (OR = 1.04, 95 % CI = 1.02-1.06; P = 2 × 10(-4)) identified in the general populations, and rs113824616 (P = 7 × 10(-5)) identified in the meta-analysis of BCAC ER-negative cases and BRCA1 mutation carriers. SNPs rs7297051, rs805510 and rs113824616 were also associated with breast cancer risk at P < 0.05 in East Asians, but none of the associations were statistically significant in African descendants. Multiple candidate functional variants are located in putative enhancer sequences. Chromatin interaction data suggested that PTHLH was the likely target gene of these enhancers. Of the six variants with the strongest evidence of potential functionality, rs11049453 was statistically significantly associated with the expression of PTHLH and its nearby gene CCDC91 at P < 0.05. CONCLUSION: This study identified four independent association signals at 12p11 and revealed potentially functional variants, providing additional insights into the underlying biological mechanism(s) for the association observed between variants at 12p11 and breast cancer risk.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.035
GPT teacher head0.344
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations75
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueBreast Cancer ResearchSame topicBRCA gene mutations in cancerFrench-language works237,207