Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 346

The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.

Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma

Open access
UK Biobank Eye and Vision Consortium, Khawaja, Anthony P., NEIGHBORHOOD Consortium, Cooke Bailey, Jessica N., Wareham, Nicholas J., Scott, Robert A., Simcoe, Mark, Igo, Robert P., Song, Yeunjoo E., Wojciechowski, Robert, Cheng, Ching-Yu, Khaw, Peng T., Pasquale, Louis R., Haines, Jonathan L., Foster, Paul J., Wiggs, Janey L., Hammond, Chris J., Hysi, Pirro G.·2018·Nature Genetics

Abstract

Glaucoma is the leading cause of irreversible blindness globally1. Despite its gravity, the disease is frequently undiagnosed in the community2. Raised intraocular pressure (IOP) is the most important risk factor for primary open-angle glaucoma (POAG)3,4. Here we present a meta-analysis of 139,555 European participants, which identified 112 genomic loci associated with IOP, 68 of which are novel. These loci suggest a strong role for angiopoietin-receptor tyrosine kinase signaling, lipid metabolism, mitochondrial function and developmental processes underlying risk for elevated IOP. In addition, 48 of these loci were nominally associated with glaucoma in an independent cohort, 14 of which were significant at a Bonferroni-corrected threshold. Regression-based glaucoma-prediction models had an area under the receiver operating characteristic curve (AUROC) of 0.76 in US NEIGHBORHOOD study participants and 0.74 in independent glaucoma cases from the UK Biobank. Genetic-prediction models for POAG offer an opportunity to target screening and timely therapy to individuals most at risk. A meta-analysis of 139,555 Europeans identifies 68 new genomic loci associated with intraocular pressure. Incorporating these new findings into genetic models improves risk prediction for primary open-angle glaucoma.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41588-018-0126-8

Cites

58 of 58 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 58 references

Cited by

See all 346

Metadata

Authors
UK Biobank Eye and Vision Consortium, Khawaja, A. P., NEIGHBORHOOD Consortium, Cooke Bailey, J. N., Wareham, N. J., Scott, R. A., Simcoe, M., Igo, R. P., Song, Y. E., Wojciechowski, R., Cheng, C.-Y., Khaw, P. T., Pasquale, L. R., Haines, J. L., Foster, P. J., Wiggs, J. L., Hammond, C. J., & Hysi, P. G.
Venue
Nature Genetics
Published
2018-05-21
Volume
50
Issue
6
Pages
778-782
ISSN
  • 1061-4036 (ISSN-L)
  • 1546-1718
OpenAlex
W2803323905
Cited by
346
References
58
FWCI
28.92
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. https://app.cochat.ai/papers/10.1038/s41588-018-0126-8
The paper
UK Biobank Eye and Vision Consortium, Khawaja, A. P., NEIGHBORHOOD Consortium, Cooke Bailey, J. N., Wareham, N. J., Scott, R. A., Simcoe, M., Igo, R. P., Song, Y. E., Wojciechowski, R., Cheng, C.-Y., Khaw, P. T., Pasquale, L. R., Haines, J. L., Foster, P. J., Wiggs, J. L., Hammond, C. J., & Hysi, P. G. (2018). Genome-wide analyses identify 68 new loci associated with intraocular pressure and improve risk prediction for primary open-angle glaucoma. Nature Genetics. https://doi.org/10.1038/s41588-018-0126-8

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.