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Record W4376167335 · doi:10.17615/jtnt-qj24

Genome-wide association analysis implicates dysregulation of immunity genes in chronic lymphocytic leukaemia

2020· article· en· W4376167335 on OpenAlexfundno aff
Jacqueline Clavel, Robert J. Harris, Paolo Boffetta, Sílvia de Sanjosé, Guillem Clot, Larry Mansouri, Elı́as Campo, Paolo Vineis, Graham G. Giles, Susan L. Slager, Helen Marr, Rebecca D. Jackson, Lauren R. Teras, Richard S. Houlston, Paige M. Bracci, Inés Quintela, Lucía Conde, James R Bailey, Stephanie J. Weinstein, Bengt Glimelius, Roger L. Milne, Charles R. Lawrence, Neil E. Caporaso, Peter Kraft, Elizabeth A. Holly, Sonja I. Berndt, Henrik Hjalgrim, James McKay, Nathanial Rothman, Stephen J. Chanock, Zhaoming Wang, Christine F. Skibola, Mads Melbye, Sandrine Jayne, Daniel Catovsky, Chris Pepper, Yawei Zhang, Lucia Miligi, Georgina P. Sava, Alain Monnereau, David Martin‐García, Guy Pratt, Geoffrey Summerfield, Qing Lan, Marc Maynadié, Claire M. Vajdic, Martin J.S. Dyer, Lynn R. Goldin, David Allsup, Sı́lvia Beà, Aneela Majid, Brian K. Link, Nicola J. Camp, Alexandra Nieters, Giovanni Maria Ferri, Philip Law, Richard Rosenquist, Joseph F. Fraumeni, Graham Jackson, Karen Curtin, James M. Allan, Kenneth Offit, Pierluigi Cocco, Melissa C. Southey, Nicola J. Sunter, Brenda M. Birmann, Lindsay M. Morton, Karin E. Smedby, Sabine Topka, Andrew R. Pettitt, Yolanda Benavente, Tongzhang Zheng, Richard K. Severson, Roel Vermeulen, Wendy Cozen, Amy Holroyd, Elio Ríboli, Maria Grazia Ennas, Demetrius Albanes, Angela Brooks‐Wilson, Ángel Carracedo, Chris Fegan, Martha Glenn, John J. Spinelli, Timothy G. Call, W Ryan Diver, Mark Liebow, Mark P. Purdue, Kari E. North, Helen E. Speedy, Joseph Vijai, Paul Brennan, James R. Cerhan, Lesley F. Tinker, Claire Dearden, Tryfonia Mainou‐Fowler

Bibliographic record

VenueUNC Libraries · 2020
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsnot available
FundersNational Cancer InstituteNational Heart, Lung, and Blood InstituteCancer Council NSWMedical Research CouncilUniversity of Texas MD Anderson Cancer CenterInstitut National Du CancerCenters for Disease Control and PreventionNational Institutes of HealthAgence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du TravailLeukemia and Lymphoma ResearchNational Health and Medical Research CouncilJosé Carreras Leukämie-StiftungU.S. Public Health ServiceUniversity at BuffaloRegione Autonoma della SardegnaAssociazione Italiana per la Ricerca sul CancroFondation de FranceGeneralitat de CatalunyaCanadian Institutes of Health ResearchBundesamt für StrahlenschutzMedStar Health Research InstituteCancerfondenU.S. Department of Veterans AffairsCompagnia di San PaoloEuropean CommissionMinisterio de Economía y CompetitividadBundesministerium für Bildung und ForschungDivision of Cancer Epidemiology and Genetics, National Cancer InstituteHuntsman Cancer InstituteDivision of Cancer Prevention, National Cancer InstituteHealth Research BoardStockholms Läns LandstingUniversity of PittsburghUniversity of Southern CaliforniaMemorial Sloan-Kettering Cancer CenterWellcome TrustCancer Research UKOhio State UniversityInstituto de Salud Carlos IIIWake Forest UniversityYale UniversityKarolinska InstitutetUtah State UniversityLeukemia and Lymphoma SocietyUtah Department of HealthBrigham and Women's HospitalU.S. Department of Health and Human ServicesUniversity of California, San FranciscoMichael Smith Health Research BCCancer Council Victoria
KeywordsGeneImmunityBiologyGenome-wide association studyGeneticsImmune dysregulationGenomeGenetic associationImmunologyImmune systemSingle-nucleotide polymorphismGenotype

Abstract

fetched live from OpenAlex

Several chronic lymphocytic leukaemia (CLL) susceptibility loci have been reported; however, much of the heritable risk remains unidentified. Here we perform a meta-analysis of six genome-wide association studies, imputed using a merged reference panel of 1,000 Genomes and UK10K data, totalling 6,200 cases and 17,598 controls after replication. We identify nine risk loci at 1p36.11 (rs34676223, P=5.04 × 10−13), 1q42.13 (rs41271473, P=1.06 × 10−10), 4q24 (rs71597109, P=1.37 × 10−10), 4q35.1 (rs57214277, P=3.69 × 10−8), 6p21.31 (rs3800461, P=1.97 × 10−8), 11q23.2 (rs61904987, P=2.64 × 10−11), 18q21.1 (rs1036935, P=3.27 × 10−8), 19p13.3 (rs7254272, P=4.67 × 10−8) and 22q13.33 (rs140522, P=2.70 × 10−9). These new and established risk loci map to areas of active chromatin and show an over-representation of transcription factor binding for the key determinants of B-cell development and immune response.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.173
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.025
GPT teacher head0.268
Teacher spread0.243 · 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 designObservational
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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