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Record W4406625413 · doi:10.1186/s12864-025-11222-8

Systematic ocular phenotyping of 8,707 knockout mouse lines identifies genes associated with abnormal corneal phenotypes

2025· article· en· W4406625413 on OpenAlexafffund
Thao Vo, Denise M. Imai-Leonard, Benjamin A. Yang, Andrew Briere, Andy Shao, M. Isabel Casanova, David J. Adams, Takanori Amano, Oana V. Amarie, Zorana Berberovic, Lynette Bower, Robert E. Braun, Steve D. M. Brown, Samantha Burrill, Soo Young Cho, Sharon Clementson-Mobbs, Abigail D’Souza, Mary E. Dickinson, Mohammad Eskandarian, Ann M. Flenniken, Helmut Fuchs, Valerie Gailus-Durner, Jason D. Heaney, Yann Hérault, Martin Hrabě de Angelis, Chih‐Wei Hsu, Russell Joynson, Yeon Kyung Kang, Haerim Kim, Hiroshi Masuya, Hamid Méziane, Steve Murray, Ki-Hoan Nam, Hyuna Noh, Lauryl M. J. Nutter, Marcela Pálková, Jan Procházka, Miles Joseph Raishbrook, Fabrice Riet, Jennifer Ryan, Jason Salazar, Zachery Seavey, John R. Seavitt, Radislav Sedláček, Mohammed Selloum, Kyoung Yul Seo, Je Kyung Seong, Hae-Sol Shin, Toshihiko Shiroishi, Michelle Stewart, Karen L. Svenson, Masaru Tamura, Heather Tolentino, Uchechukwu Udensi, Sara Wells, Jacqueline K. White, Amelia Willett, Janine M. Wotton, Wolfgang Wurst, Atsushi Yoshiki, Louise Lanoue, K. C. Kent Lloyd, Brian C. Leonard, Michel J. Roux, Colin McKerlie, Ala Moshiri

Bibliographic record

VenueBMC Genomics · 2025
Typearticle
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsUniversity of TorontoSickKids FoundationToronto Centre for PhenogenomicsHospital for Sick ChildrenLunenfeld-Tanenbaum Research InstituteMount Sinai Hospital
FundersNational Eye InstituteNational Human Genome Research InstituteNational Institutes of HealthHorizon 2020 Framework ProgrammeINFRAFRONTIERMedical Research CouncilGenome Canada
KeywordsBiologyPhenotypeCandidate geneGeneGeneticsGene knockoutKnockout mouseCorneal DiseasesCornea

Abstract

fetched live from OpenAlex

PURPOSE: Corneal dysmorphologies (CDs) are typically classified as either regressive degenerative corneal dystrophies (CDtrs) or defective growth and differentiation-driven corneal dysplasias (CDyps). Both eye disorders have multifactorial etiologies. While previous work has elucidated many aspects of CDs, such as presenting symptoms, epidemiology, and pathophysiology, the genetic mechanisms remain incompletely understood. The purpose of this study was to analyze phenotype data from 8,707 knockout mouse lines to identify new genes associated with the development of CDs in humans. METHODS: 8,707 knockout mouse lines phenotyped by the International Mouse Phenotyping Consortium were queried for genes associated with statistically significant (P < 0.0001) abnormal cornea morphology to identify candidate CD genes. Corneal abnormalities were investigated by histopathology. A literature search was used to determine the proportion of candidate genes previously associated with CDs in mice and humans. Phenotypes of human orthologues of mouse candidate genes were compared with known human CD genes to identify protein-protein interactions and molecular pathways using the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING), Protein Analysis Through Evolutionary Relationships (PANTHER), and Kyoto Encyclopedia of Genes and Genomes. RESULTS: Analysis of data from 8,707 knockout mouse lines identified 213 candidate CD genes. Of these, 37 (17%) genes were previously known to be associated with CD, including 14 in the mouse, 16 in humans, and 7 in both. The remaining 176 (83%) genes have not been previously implicated in CD. We also searched publicly available RNAseq data and found that 131 of the total 213 (61.5%) were expressed in adult human corneal tissue. STRING analysis showed several interactions within and between candidate and established CD proteins. All cellular pathways of the established genes were found in the PANTHER analysis of the candidate genes. Several of the candidate genes were implicated in corneal disease, such as TGF-ß signaling. We also identified other possible underappreciated mechanisms relevant to the human cornea. CONCLUSIONS: We identified 213 mouse genes that resulted in statistically significant abnormal corneal phenotypes in knockout mice, many of which have not previously been implicated in corneal pathology. Bioinformatic analyses implicated candidate genes in several signaling pathways which are potential therapeutic targets.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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