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Meta-Analysis
. 2021 Mar 1;4(1):266.
doi: 10.1038/s42003-021-01784-0.

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

Alison J Hardcastle  1   2 Petra Liskova #  3   4   5 Yelena Bykhovskaya #  6   7 Bennet J McComish #  8 Alice E Davidson #  3 Chris F Inglehearn #  9 Xiaohui Li  10 Hélène Choquet  11 Mahmoud Habeeb  12   13 Sionne E M Lucas  8 Srujana Sahebjada  14   15 Nikolas Pontikos  3 Karla E Rojas Lopez  3 Anthony P Khawaja  3   16   17 Manir Ali  9 Lubica Dudakova  4 Pavlina Skalicka  5 Bart T H Van Dooren  12   18 Annette J M Geerards  19 Christoph W Haudum  20 Valeria Lo Faro  21   22 Abi Tenen  23   24   25 Mark J Simcoe  26   27 Karina Patasova  26   27 Darioush Yarrand  27 Jie Yin  11 Salina Siddiqui  9   28 Aine Rice  9 Layal Abi Farraj  9 Yii-Der Ida Chen  10 Jugnoo S Rahi  29 Ronald M Krauss  30 Elisabeth Theusch  30 Jac C Charlesworth  8 Loretta Szczotka-Flynn  31 Carmel Toomes  9 Magda A Meester-Smoor  12   13 Andrea J Richardson  14 Paul A Mitchell  32 Kent D Taylor  10 Ronald B Melles  11 Anthony J Aldave  33 Richard A Mills  34 Ke Cao  14   15 Elsie Chan  14   15 Mark D Daniell  14   15 Jie Jin Wang  35 Jerome I Rotter  10 Alex W Hewitt  8   23   24   25 Stuart MacGregor  36 Caroline C W Klaver  12   13 Wishal D Ramdas  12 Jamie E Craig  8   34 Sudha K Iyengar  31 David O'Brart  26   37 Eric Jorgenson  11 Paul N Baird  15 Yaron S Rabinowitz  6   7 Kathryn P Burdon  8   34 Chris J Hammond  26   27   37 Stephen J Tuft  38   39 Pirro G Hysi  40   41   42
Affiliations
Meta-Analysis

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

Alison J Hardcastle et al. Commun Biol. .

Abstract

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.

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Conflict of interest statement

H.C. is an Editorial Board Member for Communications Biology, but was not involved in the editorial review of, nor the decision to publish, this article. The authors declare the following competing interests: D.O. holds non-commercial research grants with Rayner Inc and Avedro Inc, holds stock in Sparca Inc. All other authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Work flowchart showing the flow of the genetic association analyses described in the manuscript.
There were three main phases: a discovery in a European cohort of 2116 cases and 24,626 controls, a replication in a combined meta-analysis of three other European cohorts as well as in two smaller non-European cohorts, and a final meta-analysis involving all the multi-ethnic cases and controls from the previous stages.
Fig. 2
Fig. 2. Comparison of effect sizes of associations for the same SNPs in individuals of African (405 cases and 4185 controls) and South Asian (759 cases and 8009 controls) ancestries.
Each dot represents SNPs shown in Supplementary Data 3 and their labels are the respective chromosomal band on which they are located. The shapes of each data point refer to a previous GWAS association with keratoconus (empty circles), with CCT only (empty triangles) or novel associations (solidly filled circular shapes). The colors of both the points and their labels represent the significance (−log10(p-value) of association observed in the European discovery cohort. Polymorphisms identified in the discovery cohort but not shown here were not available for analysis in the replication cohorts.
Fig. 3
Fig. 3. An annotated Manhattan plot of the final trans-ethnic meta-analysis data for all keratoconus cohorts in this study.
Analyses were conducted in 4669 cases and 116,547 controls. The log10(p-value) from the final meta-analysis is shown on the y-axis for all the SNPs along the different autosomes (x-axis). Novel associations for keratoconus are in pink. The names of the coding genes nearest to the most significantly associated SNPs are shown, or “no gene” when the association was >250 kb from a coding gene. Different colors are used for genetic loci and genes that to our knowledge, were previously associated with CCT (dark green) keratoconus (dark gray).
Fig. 4
Fig. 4. Comparison of the same SNP allele effect sizes over central corneal thickness (CCT; in microns, the x-axis).
Data reported by Choquet et al. (also in Supplementary Data 14), with those over keratoconus (4669 cases and 116,547 controls, natural logarithm of the ORs, the y-axis). The alleles increasing susceptibility to keratoconus were selected as reference alleles. The genes located nearest to the most significant SNPs are shown in the labels and their color-codes denote the significance (−log10(p-value) of the association with CCT. For the sake of clarity, only some of the genes are labeled. Unlabeled points denote SNPs in intragenic regions (distance from the nearest known protein-coding transcript greater than 250kbp). The variants are annotated to the nearest known protein-coding transcript. Because of their proximity with other SNPs, some loci in this figure are not labeled. Polymorphisms identified in the discovery cohort, but not shown in this figure were not available for analysis in the replication cohorts.
Fig. 5
Fig. 5. The predictive value of a genetic testing model based on common polymorphisms in an independent European case-control cohort.
The area under the receiver operating characteristic curve for the performance of a keratoconus predictive model that used the SNPs identified through the multi-ethnic analysis. The model was trained in the discovery populations of European ancestry and was replicated in a completely independent European panel of 222 keratoconus patients and 2208 controls.

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