Back

Genome-wide association study of corneal dystrophy uncovers novel risk loci and enables improved polygenic prediction of Fuchs endothelial corneal dystrophy

Insawang, B.; Mackey, D. A.; Hewitt, A. W.; Craig, J. E.; Mills, R.; Gharahkhani, P.; MacGregor, S.

2026-02-15 genetic and genomic medicine
10.64898/2026.02.10.26345409 medRxiv
Show abstract

ObjectiveTo identify risk loci for Fuchs endothelial corneal dystrophy (FECD) and improve a genetic risk prediction model. DesignGenome-wide association study (GWAS), polygenic risk score (PRS) construction, and TCF4 CTG18.1 short tandem repeat (STR) length inference. ParticipantsThe study included 7,316 Europeans (EUR) with FECD or related corneal dystrophy phenotypes and 1,588,467 controls from the UK Biobank, All of Us, FinnGen, and the Million Veteran Program. Two independent EUR FECD cohorts were used for PRS validation (1,851/2,679 cases/controls and 124/257 cases/controls). African (AFR) ancestry analyses included 455 cases and 121,154 controls to build PRS. A subset of All of Us participants was used for joint PRS and STR modelling. MethodsGWAS meta-analyses were performed using FECD diagnoses or corneal dystrophy proxies where necessary, with validity assessed via genetic correlation. Risk loci were identified, and ancestry-specific PRSs were constructed using SBayesRC. PRS performance was evaluated across ancestries with and without TCF4 STR data. Main OutcomeWe identified novel loci for corneal dystrophy and constructed PRS-based and STR-based prediction models. ResultsThe GWAS meta-analysis identified 24 risk loci associated with corneal dystrophy, including 12 novel loci, doubling previous FECD studies. The optimised PRS outperformed existing models in two independent FECD validation cohorts (AUC = 0.83, 95% CI: 0.82-0.84; DeLongs P = 7.04 x 10-19), with individuals in the top PRS decile showing 14-fold and 19-fold increased risk in the two validation sets, respectively In All of Us, STR expansion (>40 repeats) was the key predictor of FECD risk, yielding excellent discrimination (AUC = 0.89; OR = 54) with minimal improvement from PRS. Consistent with this, STR expansion remained the primary driver of risk across ancestries, while PRS provided modest independent value for broader corneal dystrophy phenotypes in EUR and admixed American populations. Among participants without large STR expansion, overall predictive performance was modest; PRS was the only significant genetic contributor (OR = 1.37) for broader corneal dystrophy in Europeans, whereas analyses in FECD non-expansion carriers were underpowered. ConclusionsThese findings refine the genetic architecture of FECD, enhance risk prediction, and support a tiered strategy integrating STR expansion testing with PRS. Key PointsO_ST_ABSQuestionC_ST_ABSCan polygenic risk scores (PRS), alone or combined with TCF4 CTG18.1 short tandem repeat (STR) length, improve genetic risk prediction for Fuchs endothelial corneal dystrophy (FECD)? FindingsIn this GWAS meta-analysis of 7,316 cases and 1,588,467 controls, PRS showed strong predictive performance in validation cohorts lacking STR data. When STR length was available, it was the main predictor of FECD risk with limited additional contribution from PRS. Among non-expansion STR carriers, PRS helped stratify risk for broader corneal dystrophy in Europeans. MeaningPRS provide a practical, complementary approach for FECD risk prediction, particularly when STR data are unavailable.

Matching journals

The top 15 journals account for 50% of the predicted probability mass.

1
Nature Communications
4913 papers in training set
Top 17%
10.2%
2
Investigative Opthalmology & Visual Science
37 papers in training set
Top 0.2%
4.9%
3
Genetics in Medicine
69 papers in training set
Top 0.4%
4.6%
4
The American Journal of Human Genetics
206 papers in training set
Top 1%
3.7%
5
Human Mutation
29 papers in training set
Top 0.2%
3.6%
6
Journal of Medical Genetics
28 papers in training set
Top 0.2%
3.3%
7
Circulation: Genomic and Precision Medicine
42 papers in training set
Top 0.5%
2.9%
8
Journal of Investigative Dermatology
42 papers in training set
Top 0.2%
2.8%
9
European Journal of Human Genetics
49 papers in training set
Top 0.4%
2.5%
10
Trials
25 papers in training set
Top 0.6%
2.4%
11
BMC Medical Genomics
36 papers in training set
Top 0.3%
2.1%
12
Ophthalmology Science
20 papers in training set
Top 0.2%
1.9%
13
Rheumatology
21 papers in training set
Top 0.2%
1.9%
14
JCI Insight
241 papers in training set
Top 3%
1.8%
15
Pigment Cell & Melanoma Research
11 papers in training set
Top 0.1%
1.7%
50% of probability mass above
16
Scientific Reports
3102 papers in training set
Top 57%
1.7%
17
JAMA Network Open
127 papers in training set
Top 2%
1.7%
18
Translational Vision Science & Technology
35 papers in training set
Top 0.4%
1.7%
19
Genome Medicine
154 papers in training set
Top 4%
1.7%
20
Human Genomics
21 papers in training set
Top 0.2%
1.3%
21
eClinicalMedicine
55 papers in training set
Top 0.8%
1.3%
22
Human Molecular Genetics
130 papers in training set
Top 2%
1.3%
23
PLOS Genetics
756 papers in training set
Top 11%
1.2%
24
Journal of Translational Medicine
46 papers in training set
Top 2%
1.1%
25
Human Genetics and Genomics Advances
70 papers in training set
Top 0.5%
1.0%
26
eBioMedicine
130 papers in training set
Top 3%
1.0%
27
European Respiratory Journal
54 papers in training set
Top 1%
1.0%
28
Journal of Allergy and Clinical Immunology
25 papers in training set
Top 0.6%
0.9%
29
Frontiers in Genetics
197 papers in training set
Top 8%
0.9%
30
Nature Genetics
240 papers in training set
Top 6%
0.9%