GWAS meta-analysis provides new insights into uveal melanoma risk

Author
D'Mellow, Matthew
Wang, Huanwei
Palmer, Jane M
Cebulla, Colleen M
Beasley, Aaron B
Bechrakis, Nikolaos E
Pritchard, Antonia L
Wadt, Karin W
Johansson, Peter A
Mobuchon, Lenha
Barlow, Samantha
Brooks, Kelly
Beckman, Timothy
Olsen, Catherine M
Warrier, Sunil K
Byrne, Lindsey
Kalirai, Helen
Mustard, Colette
Ingold, Nathan
Försti, Asta
Isaacs, Timothy
Jayasinghe, G J M Shanika R
Glasson, William J
Williamson, Gayle
McGrath, Lindsay A
Le, Ngoc-Quynh
Chadha, Vikas
Gray, Elin S
Brown, Kevin M
Cauchi, Paul
Thomsen, Hauke
Connolly, Julie
MacGregor, Stuart
Whiteman, David C
Kiilgaard, Jens F
Stern, Marc-Henri
Coupland, Sarah E
Abdel-Rahman, Mohamed H
Zeschnigk, Michael
Hayward, Nick
Law, Matthew H
Publication date
2026Published in
British Journal of CancerPublisher / Publication place
Scientific and Medical Division, Macmillan PressVolume / Issue
135 (6)ISBN / ISSN
ISSN: 0007-0920ISBN / ISSN
eISSN: 1532-1827Funding Information
MSM//EH22_008/0004644
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This publication has a published version with DOI 10.1038/s41416-026-03499-7
Abstract
OBJECTIVE: The aim of this research is to identify germline genetic variants that predispose to uveal melanoma (UM) using data from nine studies involving 5839 individuals with UM (3853 novel) and 349,863 healthy controls. METHODS: Five novel UM genome-wide association studies (GWAS) were performed and included for meta-analysis with four previously published UM GWAS. A fixed-effects inverse-variance weighted (IVW) meta-analysis was performed by combining data from these nine UM case-control cohorts. A follow-up transcriptome-wide association study (TWAS) was conducted to identify candidate target genes at UM risk loci. Genetic correlations with melanoma-related phenotypes were measured to elucidate UM's genetic architecture. RESULTS: We identify nine linkage disequilibrium (LD)-independent loci (three novel) with an IVW P value of less than 5 x 10(-8). TWAS analysis indicates five potential target genes, including MOB3B, RBAK, and MTSS1, which have established links to multiple cancer types. We note a significant genetic correlation (rg = 0.31, P = 0.01) between UM and cutaneous melanoma (CM), and a non-significant but consistent correlation with naevus count (rg = 0.25, P = 0.08). CONCLUSIONS: This meta-analysis offers new insights into the genetic architecture of UM, highlights potential therapeutic targets, and explores the genetic relationship with CM and skin pigmentation.
Keywords
melanoma risk, GWAS, meta-analysis
Permanent link
https://hdl.handle.net/20.500.14178/3912License
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