Hunt Callum, Yoon Ha-Jun, Lirio Alvin, Coley Kayesha, Wang Jun, Shrine Nick, Shao Jianming, Maconachie Gail D E, Tu Zhanhan, Zippin Jonathan H, Hysi Pirro G, Hammond Christopher J, Mahroo Omar A, Moosajee Mariya, Michaelides Michel, Webster Andrew R, Moshiri Ala, Chen Rui, Tobin Martin D, Batini Chiara, Thomas Mervyn G
The University of Leicester Ulverscroft Eye Unit, School of Psychology and Vision Sciences, University of Leicester, Leicester, United Kingdom.
Department of Population Health Sciences, University of Leicester, Leicester, United Kingdom.
Invest Ophthalmol Vis Sci. 2025 Sep 2;66(12):22. doi: 10.1167/iovs.66.12.22.
To define the genetic architecture of foveal morphology and explore its relevance to foveal hypoplasia (FH), a hallmark of developmental macular disorders.
We applied deep-learning algorithms to quantify foveal pit depth from central optical coherence tomography (OCT) B-scans in 61,269 UK Biobank participants. A genome-wide association study (GWAS) was conducted using REGENIE, adjusting for age, sex, height, and ancestry. Rare coding variants (frequency <1%) were analyzed in an exome-wide rare-variant association study (RVAS). Candidate genes were prioritized using integrative mapping; pathway, cross-ancestry, and genetic-correlation analyses were exploratory.
GWAS identified 126 sentinel variants, including 47 novel associations. Integrative mapping prioritized 129 putative causal genes, with 64 not previously implicated in foveal biology. Enriched pathways included retinoic acid metabolism (e.g., CYP26A1), photoreceptor differentiation (e.g., VSX2), extracellular matrix organization, and pigmentation. RVAS identified missense variants in ACTN3 and ESYT3 (P < 5 × 10-⁹) associated with FH features. Polygenic scores were predictive across African and South Asian ancestries. Overlap was observed with monogenic FH genes (TYR, OCA2, PAX6, AHR) and with genes underlying systemic diseases (COL11A1, KIF11, TUBB4B, PHYH). Re-examination of OCTs in affected individuals confirmed FH in select cases, including those with recurrent TUBB4B p.(Arg390Trp) variants.
This is the first GWAS of human foveal morphology. Our findings redefine the genetic and biological framework underlying normal foveal development and foveal hypoplasia (FH). By linking common variation to rare monogenic disease, we establish a continuum model of FH with implications for future mechanistic and clinical investigation.
明确黄斑中心凹形态的遗传结构,并探讨其与黄斑发育异常(FH)的相关性,黄斑发育异常是发育性黄斑疾病的一个标志。
我们应用深度学习算法,从61269名英国生物银行参与者的中央光学相干断层扫描(OCT)B扫描中量化黄斑中心凹坑深度。使用REGENIE进行全基因组关联研究(GWAS),并对年龄、性别、身高和血统进行校正。在全外显子组罕见变异关联研究(RVAS)中分析罕见编码变异(频率<1%)。使用综合定位对候选基因进行优先级排序;通路、跨血统和遗传相关性分析为探索性分析。
GWAS鉴定出126个哨兵变异,包括47个新的关联。综合定位确定了129个推定的因果基因,其中64个以前未涉及黄斑生物学。富集的通路包括视黄酸代谢(如CYP26A1)、光感受器分化(如VSX2)、细胞外基质组织和色素沉着。RVAS在ACTN3和ESYT3中鉴定出与FH特征相关的错义变异(P<5×10⁻⁹)。多基因评分在非洲和南亚血统中具有预测性。观察到与单基因FH基因(TYR、OCA2、PAX6、AHR)以及全身性疾病相关基因(COL11A1、KIF11、TUBB4B、PHYH)存在重叠。对受影响个体的OCT进行重新检查,在部分病例中证实了FH,包括那些具有复发性TUBB4B p.(Arg390Trp)变异的病例。
这是首次对人类黄斑中心凹形态进行GWAS研究。我们的发现重新定义了正常黄斑发育和黄斑发育异常(FH)的遗传和生物学框架。通过将常见变异与罕见单基因疾病联系起来,我们建立了FH的连续模型,对未来的机制和临床研究具有启示意义。