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Record W2065430663 · doi:10.1182/blood-2011-01-329797

A genome-wide association study identifies novel loci associated with susceptibility to chronic myeloid leukemia

2011· article· en· W2065430663 on OpenAlexaffabout
Dong‐Hwan Kim, Seung‐Tae Lee, Hong‐Hee Won, Seonwoo Kim, Min‐Ji Kim, Hee‐Jin Kim, Sun‐Hee Kim, Jong‐Won Kim, Hyeoung‐Joon Kim, Yeo‐Kyeoung Kim, Sang Kyun Sohn, Chul Won Jung, Jeffrey H. Lipton

Bibliographic record

VenueBlood · 2011
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMyeloid leukemiaCohortGenome-wide association studyMedicineInternal medicineLocus (genetics)Candidate geneGenetic associationOncologyGeneticsBiologyGeneGenotypeSingle-nucleotide polymorphism

Abstract

fetched live from OpenAlex

In the current study, we identified 2 genetic markers for susceptibility to chronic myeloid leukemia (CML) using a genome-wide analysis. A total of 2744 subjects (671 cases and 2073 controls) were included, with 202 Korean CML patients and 497 control subjects enrolled as a discovery set. Significant findings in the discovery set were validated in a second Korean set of 237 patients and 1000 control subjects and in an additional Canadian cohort of European descent, including 232 patients and 576 control subjects. Analysis revealed significant associations of 2 candidate loci, 6q25.1 and 17p11.1, with CML susceptibility, with the lowest combined P values of 2.4 × 10⁻⁶ and 1.3 × 10⁻¹², respectively. Candidate genes in those regions include RMND1, AKAP12, ZBTB2, and WSB1. The locus 6q25.1 was validated in both Korean and European cohorts, whereas 17p11.1 was validated only in the Korean cohort. These findings suggest that genetic variants of 6q25.1 and 17p11.1 may predispose one to the development of CML.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.024
GPT teacher head0.248
Teacher spread0.225 · 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.

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".

Quick stats

Citations31
Published2011
Admission routes2
Has abstractyes

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