Investigating ethnicity-related variability in the human L-cone spectral sensitivity function
Year: 2026
Type: article
Abstract: The human cone photoreceptor spectral sensitivities can differ between individuals. Large changes give rise to color vision deficiencies, but even among color-normals there is systematic individual variation. Characterizing the sources of this variation is important for understanding how well widely-used average spectral sensitivity functions represent diffferent observers. One contributor to individual differences in L-cone spectral sensitivity is the amino acid at position 180 of OPN1LW, which encodes the L-cone photopigment. Here, we examine group differences in the reported frequency of the L(S180) and L(A180) alleles using a combination of published reports and the genome sequencing database, gnomAD. We found the estimated allele frequencies differ across reported ethnicity categories. Thus, L-cone spectral sensitivity functions derived from historically available samples may not capture all population-level variation equally, particularly when applied to groups that were under-represented in the underlying datasets. We discuss how population-level variation of this kind relates to the interpretation and use of standard observer functions, and we outline recent promising work towards personalized cone fundamentals.
Source: Vision Research
Institution: University of Oxford
Language: English
Subfield: Atomic and Molecular Physics, and Optics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,940
Funders: Wellcome Trust, UK Research and Innovation, National Institute for Health and Care Research, Leverhulme Trust, European Commission, Horizon 2020 Framework Programme, Engineering and Physical Sciences Research Council, NIHR Oxford Biomedical Research Centre, H2020 Marie Skłodowska-Curie Actions
Awards: PREDICTOR - PRE-symptomatic DIagnosis through adaptive optiCal Tomographic sensing Of the Retina, G434337789, A fresh look at visual sampling: How are fixational eye-movements optimised? [PhysFEM], G5430694128, Material classification by man and machine: Understanding human perception using psychophysics and convolutional neural networks, Hyperrealistic Imaging Experience, Hyperrealistic Imaging Experience, G76565360
OpenAlex ID: W7130509485
