Gene-environment interaction loci associated with refractive error: SCAMPI analysis

<h2>Abstract</h2><h3>Purpose</h3> To compare the performance of a novel method for identifying candidate gene-environment interaction loci, SCAMPI (doi:10.1101/2024.09.10.612314v1), to widely-used existing methods, Levene's test and conditional quantile regression (CQR). The three methods were evaluated for refractive error, a trait known to exhibit widespread gene-environment interaction effects. <h3>Design</h3> Cohort study. Genome-wide Association Study to investigate variance heterogeneity of refractive error. <h3>Participants</h3> A discovery sample of 77,880 UK Biobank participants with records of both refractive error and age of onset of spectacle wear (AOSW) and a validation sample of 257,265 UK Biobank participants with known AOSW. <h3>Methods</h3> SCAMPI, Levene's tests and CQR were applied in the discovery sample. Variance quantitative trait loci (vQTLs) identified using SCAMPI were assessed in the independent validation sample. SCAMPI vQTLs were further assessed for evidence of genotype-by-education interaction or gene-gene interaction, using linear regression. <h3>Main Outcome Measure</h3> Genetic variance heterogeneity associated with refractive error (phenotypic variance differences across genotypes). <h3>Results</h3> SCAMPI identified 15 independent vQTLs with P < 5.0e-08 while three and eleven were found using Levene's test and CQR, respectively. Of the 15 SCAMPI vQTLs, 12 (80%) were supported in the validation dataset after accounting for multiple testing. The lead SCAMPI variants included known vQTL associated with refractive error, such as rs12193556 (<i>LAMA2</i>) and rs685352 (<i>GJD2</i>), as well as three novel candidate gene-environment interaction loci. Among these novel candidates was rs7077247, an intronic variant in the <i>TCF7L2</i> gene, which was associated with a -0.085 D greater shift towards myopia in participants with a university degree (<i>P</i>=9.43e-04). This variant is known to be associated with the risk of diabetes and <i>TCF7L2</i> is a component of the Wnt signaling pathway. The SCAMPI vQTLs demonstrated minimal evidence for gene-gene interactions. <h3>Conclusions</h3> SCAMPI outperformed Levene's test and CQR in identifying candidate gene-environment interaction loci associated with refractive error. Our results suggest that a variant in the <i>TCF7L2</i> gene may confer susceptibility to myopia to a greater extent in those with higher vs. lower educational attainment, and suggests a molecular link to Wnt signaling and the risk of myopia associated with intensive education.

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Publication Details

Journal
Ophthalmology Science
Published
2026-05-01
DOI
https://doi.org/10.1016/j.xops.2026.101219
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Gene-environment interaction loci associated with refractive error: SCAMPI analysis

Xi He, Louise Terry, Jeremy A. Guggenheim
Ophthalmology Science
Genetic Associations and Epidemiology
article

Gene-environment interaction loci associated with refractive error: SCAMPI analysis

Xi He, Louise Terry, Jeremy A. Guggenheim
article en

Abstract

<h2>Abstract</h2><h3>Purpose</h3> To compare the performance of a novel method for identifying candidate gene-environment interaction loci, SCAMPI (doi:10.1101/2024.09.10.612314v1), to widely-used existing methods, Levene's test and conditional quantile regression (CQR). The three methods were evaluated for refractive error, a trait known to exhibit widespread gene-environment interaction effects. <h3>Design</h3> Cohort study. Genome-wide Association Study to investigate variance heterogeneity of refractive error. <h3>Participants</h3> A discovery sample of 77,880 UK Biobank participants with records of both refractive error and age of onset of spectacle wear (AOSW) and a validation sample of 257,265 UK Biobank participants with known AOSW. <h3>Methods</h3> SCAMPI, Levene's tests and CQR were applied in the discovery sample. Variance quantitative trait loci (vQTLs) identified using SCAMPI were assessed in the independent validation sample. SCAMPI vQTLs were further assessed for evidence of genotype-by-education interaction or gene-gene interaction, using linear regression. <h3>Main Outcome Measure</h3> Genetic variance heterogeneity associated with refractive error (phenotypic variance differences across genotypes). <h3>Results</h3> SCAMPI identified 15 independent vQTLs with P < 5.0e-08 while three and eleven were found using Levene's test and CQR, respectively. Of the 15 SCAMPI vQTLs, 12 (80%) were supported in the validation dataset after accounting for multiple testing. The lead SCAMPI variants included known vQTL associated with refractive error, such as rs12193556 (<i>LAMA2</i>) and rs685352 (<i>GJD2</i>), as well as three novel candidate gene-environment interaction loci. Among these novel candidates was rs7077247, an intronic variant in the <i>TCF7L2</i> gene, which was associated with a -0.085 D greater shift towards myopia in participants with a university degree (<i>P</i>=9.43e-04). This variant is known to be associated with the risk of diabetes and <i>TCF7L2</i> is a component of the Wnt signaling pathway. The SCAMPI vQTLs demonstrated minimal evidence for gene-gene interactions. <h3>Conclusions</h3> SCAMPI outperformed Levene's test and CQR in identifying candidate gene-environment interaction loci associated with refractive error. Our results suggest that a variant in the <i>TCF7L2</i> gene may confer susceptibility to myopia to a greater extent in those with higher vs. lower educational attainment, and suggests a molecular link to Wnt signaling and the risk of myopia associated with intensive education.

Ophthalmology Science
Cardiff University (GB)
Wellcome Trust, Government of the United Kingdom, UK Research and Innovation, National Institute for Health and Care Research, British Heart Foundation, Diabetes UK, European Commission, Cardiff University, Northwest Regional Development Agency, Moorfields Eye Hospital NHS Foundation Trust, HORIZON EUROPE Framework Programme, Medical Research Council, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 8%
Genetic Associations and Epidemiology
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