Multi-ancestry GWAS of Fuchs corneal dystrophy highlights roles of laminins, collagen, and endothelial cell regulation.
Neal PeacheyBryan R GormanMichael FrancisCari NealonChristopher HalladayNalvi DuroKyriacos MarkianosGiulio GenovesePirro G HysiHelene ChoquetNatalie AfshariYi Ju LiJ Michael GazianoAdriana HungWen-Chih WuPaul GreenbergSaiju PyarajanJonathan LassSudha IyengarPublished in: Research square (2023)
Fuchs endothelial corneal dystrophy (FECD) is a leading indication for corneal transplantation, but its molecular pathophysiology remains poorly understood. We performed genome-wide association studies (GWAS) of FECD in the Million Veteran Program (MVP) and meta-analyzed with the previous largest FECD GWAS, finding twelve significant loci (eight novel). We further confirmed the TCF4 locus in admixed African and Hispanic/Latino ancestries, and found an enrichment of European-ancestry haplotypes at TCF4 in FECD cases. Among the novel associations are low frequency missense variants in laminin genes LAMA5 and LAMB1 which, together with previously reported LAMC1, form laminin-511 (LM511). AlphaFold 2 protein modeling suggests that mutations at LAMA5 and LAMB1 may destabilize LM511 by altering inter-domain interactions or extracellular matrix binding. Finally, phenome-wide association scans and co-localization analyses suggest that the TCF4 CTG18.1 trinucleotide repeat expansion leads to dysregulation of ion transport in the corneal endothelium and has pleiotropic effects on renal function.
Keyphrases
- genome wide association study
- extracellular matrix
- wound healing
- genome wide association
- optical coherence tomography
- endothelial cells
- genome wide
- early onset
- cataract surgery
- computed tomography
- african american
- nitric oxide
- gene expression
- quality improvement
- dna methylation
- stem cells
- binding protein
- copy number
- autism spectrum disorder
- intellectual disability
- protein protein
- dna binding
- single molecule
- case control
- vascular endothelial growth factor
- amino acid
- bioinformatics analysis