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Record W1483530655

Association of genetic polymorphisms of EXO1 gene with risk of breast cancer in Taiwan.

2009· article· en· W1483530655 on OpenAlexaff
Hwei Chung Wang, Chang Fang Chiu, Ru Yin Tsai, Yung Shun Kuo, Hua Shiang Chen, Rou Fen Wang, Chia Wen Tsai, Chao Hsiang Chang, Cheng‐Chieh Lin, Da Tian Bau

Bibliographic record

VenuePubMed · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsBreast cancerMedicineOncologyInternal medicineGenotypeCancerCase-control studyEpidemiologyAllelePopulationGynecologyGeneticsBiologyGeneEnvironmental health
DOInot available

Abstract

fetched live from OpenAlex

UNLABELLED: The aim of the present study was to evaluate the association between the polymorphisms of the EXO1 gene and the risk of breast cancer in central Taiwan. PATIENTS AND METHODS: In this hospital-based study, the association of EXO1 A1419G (rs3754093), C908G (rs10802996), A238G (rs1776177), C498T (rs1635517), K589E (rs1047840), G670E (rs1776148), C723R (rs1635498), L757P (rs9350) and C3114T (rs851797) polymorphisms with breast cancer risk in a central Taiwanese population was investigated. In total, 1,272 patients with breast cancer and 1,272 age- and gender-matched healthy controls recruited from the China Medical University Hospital were genotyped. RESULTS: A significantly different distribution was found in the frequency of the EXO1 K589E genotype, but not the other genotypes, between the breast cancer and control groups. The A allele EXO1 K589E conferred a significantly (p=0.000025) increased risk of breast cancer. As for the rest of the polymorphisms, there was no difference in distribution between the breast cancer and control groups. CONCLUSION: Our results provide evidence that the A allele of EXO1 K589E may be associated with the development of breast cancer and may be a useful biomarker for breast cancer detection and primary prevention.

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)0.000
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 score0.117
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.003
GPT teacher head0.184
Teacher spread0.181 · 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".

Quick stats

Citations51
Published2009
Admission routes1
Has abstractyes

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