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Record W3135667502 · doi:10.1038/s42003-021-01784-0

A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus

2021· review· en· W3135667502 on OpenAlexaff
Alison J. Hardcastle, Petra Lišková, Yelena Bykhovskaya, Bennet J. McComish, Alice E. Davidson, Chris F. Inglehearn, Xiaohui Li, Hélène Choquet, Mahmoud Habeeb, Sionne E. M. Lucas, Srujana Sahebjada, Nikolas Pontikos, Karla E. Rojas López, Anthony P. Khawaja, Manir Ali, Ľubica Ďuďáková, Pavlína Skalická, Bart T.H. van Dooren, Annette J.M. Geerards, Christoph Haudum, Valeria Lo Faro, Abi Tenen, Mark Simcoe, Karina Patasova, Darioush Yarrand, Jie Yin, Salina Siddiqui, Aine Rice, Layal Abi Farraj, Yii-Der Ida Chen, Jugnoo S. Rahi, Ronald M. Krauss, Jac Charlesworth, Loretta Szczotka‐Flynn, Carmel Toomes, Magda A. Meester‐Smoor, Andrea J. Richardson, Paul A. Mitchell, Kent D. Taylor, Ronald B. Melles, Anthony J. Aldave, Richard Mills, Ke Cao, Elsie Chan, Mark Daniell, Jie Jin Wang, Jerome I. Rotter, Alex W. Hewitt, Stuart MacGregor, Caroline C. W. Klaver, Wishal D. Ramdas, Jamie E. Craig, Sudha K. Iyengar, David O’Brart, Eric Jorgenson, Paul N. Baird, Yaron S. Rabinowitz, Kathryn P. Burdon, Christopher J. Hammond, Stephen J. Tuft, Pirro G. Hysi

Bibliographic record

VenueCommunications Biology · 2021
Typereview
Languageen
FieldMedicine
TopicCorneal surgery and disorders
Canadian institutionsSt. Thomas Hospital
FundersNational Eye InstituteNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Center for Advancing Translational SciencesMedical Research CouncilNational Health and Medical Research CouncilMoorfields Eye CharityMoorfields Eye Hospital NHS Foundation TrustUniversity of LeedsState Government of VictoriaKing's College LondonNorthwest Regional Development AgencyÖgonfondenWayne and Gladys Valley FoundationGrantová Agentura České RepublikyNational Institutes of HealthRobert Wood Johnson FoundationSight Research UKRosetrees TrustDiabetes UKErasmus Medisch CentrumNational Institute on AgingNational Institute for Health and Care ResearchNational Institute of Diabetes and Digestive and Kidney DiseasesNIHR Biomedical Research Centre, Royal Marsden NHS Foundation Trust/Institute of Cancer ResearchUK Research and InnovationVšeobecná Fakultní Nemocnice v PrazeUniverzita Karlova v PrazeKaiser PermanenteBritish Heart FoundationWellcome TrustCommon FundAngior Family FoundationEllison Medical Foundation
KeywordsKeratoconusCorneaGenome-wide association studyDiseaseGenetic associationBiologyExtracellular matrixGeneticsMedicinePathologyOphthalmologySingle-nucleotide polymorphismGeneGenotype

Abstract

fetched live from OpenAlex

Keratoconus is characterised by reduced rigidity of the cornea with distortion and focal thinning that causes blurred vision, however, the pathogenetic mechanisms are unknown. It can lead to severe visual morbidity in children and young adults and is a common indication for corneal transplantation worldwide. Here we report the first large scale genome-wide association study of keratoconus including 4,669 cases and 116,547 controls. We have identified significant association with 36 genomic loci that, for the first time, implicate both dysregulation of corneal collagen matrix integrity and cell differentiation pathways as primary disease-causing mechanisms. The results also suggest pleiotropy, with some disease mechanisms shared with other corneal diseases, such as Fuchs endothelial corneal dystrophy. The common variants associated with keratoconus explain 12.5% of the genetic variance, which shows potential for the future development of a diagnostic test to detect susceptibility to disease.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.156
GPT teacher head0.408
Teacher spread0.252 · 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
GenreReview

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

Citations92
Published2021
Admission routes1
Has abstractyes

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