bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2022.10.27.513974

Detection of adaptation to light environment in myopia-associated loci: Diversity of the myopia genetic background

Xia, T.·Nakayama, K.
View original source ↗Export metadata ↓

Abstract

The time spent outdoors and exposure to bright sunlight have been reported to play important roles in preventing myopia progression. Myopia prevalence is generally low in Europe, and we hypothesized that local adaptation of ancestors in insufficient sunlight regions might underlie this low prevalence in Europeans. To verify this conjecture and understand how ancestry adaptation influenced on the diversity of myopia genetic background, polygenic risk scores (PRS) was calculated and revealed that the genetic risk of myopia increased as latitude decreased in the 1000 genome projects (1KGP) EUR, and we further determined selection signatures near the rhodopsin (RHO) coding region in 1KGP Finnish. The derived allele frequencies of identified loci correlated with sunshine duration worldwide, and the allele age was estimated to be [~]20,000 years, coincidently after the divergence of Europeans and East Asians. TSPAN10 (rs9747347) is significantly associated with both myopia and pigmentation in Europeans, and we found selection favored the myopia risk allele in EUR. Haplotype comparison highlighted the divergence between EAS and EUR in RHO and pigmentation-associated loci, and the frequency diversity in Admixed American (AMR) of these loci was found to originate from recent admixture and local adaptation. We concluded that local adaptation played a role in myopia prevalence deviation, and selective pressure in the myopia-associated loci may originate from adaptation to sunlight environments rather than myopia itself. These findings reveal traces of evolution history of myopias genetic background, providing a new aspect of understanding the patterns and diversity of myopia prevalence. Author SummaryThe explanation for the distinct bias of myopia prevalence among ethnicities remains controversial, we took an evolutionary approach to understanding the history and diversity of the genetic background of myopia. We detected selection signatures of myopia-associated loci near the rhodopsin gene (RHO) in the 1000 Genome Project Europeans. Ambient light exposure is crucial for myopia; RHO is mainly expressed in rod cells and is extremely sensitive to light, indicating that local adaptation might contribute to myopia prevalence bias. Parallel geographical disposition of allele frequencies of myopia-associated loci in RHO and pigmentation-associated markers was observed, implying that selective pressure in myopia-associated loci may originate from adaptation events involved in sunlight exposure rather than myopia itself.

Explore related subjects

geneticsPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Xia, T., Nakayama, K.. 2022-10-28. Detection of adaptation to light environment in myopia-associated loci: Diversity of the myopia genetic background. https://doi.org/10.1101/2022.10.27.513974

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

Large language model-based bibliometric evaluation of population descriptors in human genetics

As the use of population descriptors such as race, ethnicity, and ancestry have become increasingly common in modern genetics research, there have been growing calls to critically examine their use. Most notably, in 2023, the National Academies of Science, Engineering, and Medicine (NASEM) published a report titled Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field, which included eight specific and actionable recommendations for researchers to implement the ethical and accurate use of population descriptors in genetic research. Here, we use the 2023 NASEM report as a benchmark to analyze the use of population descriptors in genome-wide association studies (GWAS). We develop a general toolkit for large language model-based bibliometrics, operationalize the report's recommendations into an evaluation framework, and apply this framework to evaluate all 4,007 papers from the GWAS Catalog published between 2007 and 2025 with full text available on PubMedCentral. We find significant improvements in adherence to NASEM report recommendations over time. However, most improvements predate the publication of the NASEM report itself, suggesting the report functioned primarily as a synthesis of existing best practices rather than a catalyst for change. We conclude by highlighting opportunities for growth in the field of human genetics.

genetics↗
bioRxiv2026

Mitigating biases of rescaling in forward-in-time population genetic simulations

Forward-in-time population genetic simulations are widely used in evolutionary analyses, but simulating large populations and long genomic regions remains computationally demanding. To reduce this cost, parameter rescaling is widely employed, in which the original evolutionary process is approximated by one with a smaller population size and fewer generations. Recently, several studies using the SLiM simulator have raised concerns about the accuracy of this rescaling approach. In this study, we show that many of the biases reported in these studies can be mitigated by using a different simulation algorithm. These results reveal that the accuracy of parameter rescaling depends on how well the simulation algorithm preserves diffusion-limit properties under rescaling.

genetics↗
bioRxiv2026

OPA1 controls mitochondrial dysfunction-driven liver fibrosis in MASLD

Progressive hepatic fibrosis is the principal determinant of morbidity and mortality in metabolic dysfunction-associated steatotic liver disease and steatohepatitis (MASLD/MASH). Mitochondrial dysfunction is a hallmark of MASH, and the release of mitochondrial damage-associated molecular patterns (mito-DAMPs) from injured hepatocytes can promote fibrosis. However, how mitochondrial dynamics and quality control shape the fibrotic response in MASLD/MASH remains unclear. Here, through large-scale genomic analyses of mitochondrial genes governing mitophagy, fusion and fission in human MASLD, with a power-equivalent sample size of approximately 700,000 individuals, we identify a strong association between hepatic fibrosis and the mitochondrial fusion factor dynamin-like GTPase optic atrophy 1 (OPA1). OPA1 transcripts and protein abundance in the liver epithelium were progressively dysregulated with advancing fibrosis. In mice, hepatocyte-specific OPA1 loss alone was sufficient to induce hepatic stellate cell activation and fibrosis in zone 3, promoted the release of mito-DAMPs into the circulation and exacerbated fibrosis in experimental MASH. These findings identify OPA1 as a central regulator of the hepatic fibrotic response and connect defective mitochondrial homeostasis to mito-DAMP release, hepatic stellate cell activation and fibrosis in MASLD.

genetics↗