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Record W2508835857 · doi:10.1016/j.gdata.2016.08.017

Nonsyndromic cleft lip with or without cleft palate and cancer: Evaluation of a possible common genetic background through the analysis of GWAS data

2016· article· en· W2508835857 on OpenAlexfundno aff
Eva Dunkhase, Kerstin U. Ludwig, Michael Knapp, Christine F. Skibola, Jane C. Figueiredo, Fay J. Hosking, Eva Ellinghaus, Maria Teresa Landi, Hongxia Ma, Hidewaki Nakagawa, Jong‐Won Kim, Jiali Han, Ping Yang, Anne C. Böhmer, Manuel Mattheisen, Markus M. Nöthen, Elisabeth Mangold

Bibliographic record

VenueGenomics Data · 2016
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCleft Lip and Palate Research
Canadian institutionsnot available
FundersNational Cancer InstituteNational Center for Advancing Translational SciencesNational Human Genome Research InstituteNational Heart, Lung, and Blood InstituteU.S. Public Health ServiceNanjing Medical UniversityDeutsche ForschungsgemeinschaftMayo Foundation for Medical Education and ResearchJohns Hopkins UniversityHenry Ford Health SystemUniversity of California, Los AngelesInstitut National Du CancerUniversity of MinnesotaUniversity of PittsburghDeutsche KrebshilfeEuropean Regional Development FundEuropean CommissionGeorgetown UniversityInstitute of Cancer ResearchUniversity of Colorado DenverMayo ClinicNational Institutes of HealthU.S. Department of Health and Human Services
KeywordsGenome-wide association studySingle-nucleotide polymorphismCancerGeneticsBiologyGenetic associationCarcinogenesisBioinformaticsComputational biologyGeneGenotype

Abstract

fetched live from OpenAlex

Previous research suggests a genetic overlap between nonsyndromic cleft lip with or without cleft palate (NSCL/P) and cancer. The aim of the present study was to identify common genetic risk loci for NSCL/P and cancer entities that have been reported to co-occur with orofacial clefting. This was achieved through the investigation of large genome-wide association study datasets. Investigations of 12 NSCL/P single nucleotide polymorphisms (SNPs) in 32 cancer datasets, and 204 cancer SNPs in two NSCL/P datasets, were performed. The SNPs rs13041247 (20q12) and rs6457327 (6p21.33) showed suggestive evidence for an association with both NSCL/P and a specific cancer entity. These loci harbor genes of biological relevance to oncogenesis (MAFB and OCT4, respectively). This study is the first to characterize possible pleiotropic risk loci for NSCL/P and cancer in a systematic manner. The data represent a starting point for future research by identifying a genetic link between NSCL/P and cancer.

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)0.003
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.126
GPT teacher head0.386
Teacher spread0.260 · 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

Citations24
Published2016
Admission routes1
Has abstractyes

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