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Record W2321212865 · doi:10.1158/1538-7445.am10-4724

Abstract 4724: A novel region on 8q24.21 is associated with ovarian cancer susceptibility

2010· article· en· W2321212865 on OpenAlexaff
Ya-Yu Tsai, Y. Ann Chen, Zhihua Chen, Jenny Permuth‐Wey, Edwin S. Iversen, Harvey A. Risch, Jill S. Barnholtz‐Sloan, Julie M. Cunningham, Robert A. Vierkant, Brooke L. Fridley, David Fenstermacher, Rebecca Sutphen, Catherine M. Phelan, S A Narod, Joellen M. Schildkraut, Ellen L. Goode, Thomas A. Sellers

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsCoalition for Research in Women's Health
Fundersnot available
KeywordsLinkage disequilibriumOvarian cancerGenome-wide association studySingle-nucleotide polymorphismHaplotypeOdds ratioOncologyInternal medicineSerous fluidBreast cancerCancerGenetic associationBiologyGenotypeMedicineGeneticsGene

Abstract

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Abstract Recent GWAS have identified and confirmed associations between several SNPs in the gene desert located on chromosome 8q24 with risk of cancers of the breast, prostate, glioma, bladder and colorectum. Evidence supporting an association with ovarian cancer is limited and inconsistent. Here we evaluate preliminary results in the 8q24 region from stage I of an ongoing invasive epithelial ovarian cancer GWAS among 1864 cases (1096 serous cases) and 1912 controls. All subjects were self-reported non-Hispanic non-Jewish Caucasian, and were genotyped with the Illumina 610quad Chip. Samples and SNPs with call rates less than 95% were excluded (9.6% and 9.9%, respectively) as well as 128 subjects with ambiguous gender, unresolved identical genotypes and less than 80% European ancestry were also excluded. Our most significant hit in the region was rs6651252 located at 8q24.21 with p = 0.000125 for all ovarian cancer, and 1.02*10−5 for serous cases only. This region is located approximately 849 kb downstream of the previous 8q24.21 findings on other cancers, and was not in linkage disequilibrium with any of the haplotype blocks reported previously. We further examined the block structure of this region with eight genotyped SNPs located within 129.61 to 129.64 MB (rs10088218, rs1516973, rs1516975, rs16903097, rs10098821, rs6651252, rs1561928, and rs1561927) and performed haplotype analysis to evaluate the association with ovarian cancer risk. One haplotype (AAGCAGGG, estimated frequency=0.11) was significantly associated with decreased ovarian cancer risk with an odds ratio of 0.67 (all cases, 95% CI: 0.78-0.91, p=0.0026, empirical p= 0.0020). This region contains no known genes, but it is located upstream and overlaps with a known copy number variation (CNV) reported by Redon et al. (2006). Previous published literature on array CGH and CNV results from TCGA (The Cancer Genome Atlas) also indicate that the 8q24.21 region is associated with frequent gains/amplification in ovarian tumors. Combined analysis of SNPs and CNV identified in this region is underway to elucidate the joint effect of these two types of genetic variation on ovarian cancer risk. Our result indicates a novel locus on 8q24.21 is associated with epithelial ovarian cancer susceptibility. Haplotype analysis reveals one specific haplotype that is associated with decreased ovarian cancer risk compared to the most common haplotype. Given previous 8q24 findings from other cancers and evidence from publicly available resources, fine-mapping and resequencing of this region is warranted. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4724.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.001

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 head0.080
GPT teacher head0.390
Teacher spread0.311 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2010
Admission routes1
Has abstractyes

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