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A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinoma.

Authors :
Seviiri, Mathias
Law, Matthew H.
Ong, Jue-Sheng
Gharahkhani, Puya
Fontanillas, Pierre
The 23andMe Research Team
Aslibekyan, Stella
Auton, Adam
Babalola, Elizabeth
Bell, Robert K.
Bielenberg, Jessica
Bryc, Katarzyna
Bullis, Emily
Coker, Daniella
Partida, Gabriel Cuellar
Dhamija, Devika
Das, Sayantan
Elson, Sarah L.
Filshtein, Teresa
Fletez-Brant, Kipper
Source :
Nature Communications; 12/10/2022, Vol. 13 Issue 1, p1-14, 14p
Publication Year :
2022

Abstract

Basal cell carcinoma and squamous cell carcinoma are the most common skin cancers, and have genetic overlap with melanoma, pigmentation traits, autoimmune diseases, and blood biochemistry biomarkers. In this multi-trait genetic analysis of over 300,000 participants from Europe, Australia and the United States, we reveal 78 risk loci for basal cell carcinoma (19 previously unknown and replicated) and 69 for squamous cell carcinoma (15 previously unknown and replicated). The previously unknown risk loci are implicated in cancer development and progression (e.g. CDKL1), pigmentation (e.g. TPCN2), cardiometabolic (e.g. FADS2), and immune-regulatory pathways for innate immunity (e.g. IFIH1), and HIV-1 viral load modulation (e.g. CCR5). We also report an optimised polygenic risk score for effective risk stratification for keratinocyte cancer in the Canadian Longitudinal Study of Aging (794 cases and 18139 controls), which could facilitate skin cancer surveillance e.g. in high risk subpopulations such as transplantees. Basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) are the most common skin cancers and have genetic overlap. Here, the authors use a multi-trait genetic and phenotypic analysis to reveal susceptibility loci for BCC and SCC, and report an optimised polygenic risk score for risk stratification. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
160704928
Full Text :
https://doi.org/10.1038/s41467-022-35345-8