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Record W6893537323 · doi:10.5281/zenodo.16782011

Datasets from the work: "Functional single nucleotide polymorphisms in CACNA2D3 and other autophagy-related genes are associated with leprosy among Brazilians."

2025· dataset· en· W6893537323 on OpenAlexaffabout

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typedataset
Languageen
FieldMedicine
TopicLeprosy Research and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLeprosySingle-nucleotide polymorphismPopulationPublic healthGenetic associationGenomics

Abstract

fetched live from OpenAlex

The data deposited here come from the work entitled "Functional single nucleotide polymorphisms in CACNA2D3 and other autophagy-related genes are associated with leprosy among Brazilians." by Isabela Espasandin1*, Cynthia Chester Cardoso2, Thyago Leal-Calvo3, Mayara Abud Mendes1, Ana Carla Pereira Latini4, Samuel Henrique Malcher de Castro5, André Luiz Leturiondo5, Ohanna C. L. Bezerra6, Roberta Olmo Pinheiro1, Anna Maria Sales1, Milton Ozório Moraes1†¶ and Fernanda de Souza Gomes Kehdy1¶ 1 Leprosy Laboratory, Oswaldo Cruz Institute/FIOCRUZ, Rio de Janeiro, Rio de Janeiro, Brazil2 Molecular Virology Laboratory, Department of Genetics, Federal University of Rio de Janeiro, Rio de Janeiro, Rio de Janeiro, Brazil3 University of California Berkeley, Innovative Genomics Institute, Berkeley, California, USA4 Research and Teaching Division, Lauro de Souza Lima Institute, Bauru, São Paulo, Brazil5 Laboratory of Molecular Biology, Alfredo da Matta Hospital Foundation, Manaus, Amazonas, Brazil6 Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada* Corresponding authorEmail: isabela.espasandin@gmail.com† Deceased¶ These authors contributed equally to this work and are sharing the last authorship. The zipped folder contains 5 files:- the dataset used in the case-control association analysis for the population of Rio de Janeiro, containing all the variables mentioned in the article (genotypes_dataset_riodejaneiro.csv);- the dataset used in the case-control association analysis for the population of Manaus, containing all the variables mentioned in the article (genotypes_dataset_manaus.csv);- the dataset used in the case-control association analysis for the population of Rondonopolis, containing all the variables mentioned in the article (genotypes_dataset_rondonopolis.csv);- the dataset used for the expression analyses involving skin biopsies, as described and containing all the variables mentioned in the article (expression_RNAseq_skinbiopsies_data.xlsx);- the dataset used for the expression analyses involving whole blood samples (paxgene), as described and containing all the variables mentioned in the article (expression_qPCR_paxgene_totalblood_data.xlsx);- the dataset used for the expression analyses involving macrophages before and after infection with live M. leprae, as described and containing all the variables mentioned in the article (expression_macrophages_CACNA2D3_data.xlsx);

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.241
Teacher spread0.213 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes2
Has abstractyes

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