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Germline variants are associated with increased primary melanoma tumor thickness at diagnosis

Authors :
Stuart MacGregor
Kiarash Khosrotehrani
Nicholas K. Hayward
Richard A. Scolyer
David L. Duffy
Casey Rowe
Gemma Cadby
Sarah V. Ward
Mark M. Iles
Lisa Bowdler
Jennifer H. Barrett
Matthew Law
Ernest Mangantig
Anne E. Cust
John F. Thompson
David C. Whiteman
Grant W. Montgomery
Georgina V. Long
Graham J. Mann
Anjali K. Henders
Source :
Human Molecular Genetics
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

Germline genetic variants have been identified, which predispose individuals and families to develop melanoma. Tumor thickness is the strongest predictor of outcome for clinically localized primary melanoma patients. We sought to determine whether there is a heritable genetic contribution to variation in tumor thickness. If confirmed, this will justify the search for specific genetic variants influencing tumor thickness. To address this, we estimated the proportion of variation in tumor thickness attributable to genome-wide genetic variation (variant-based heritability) using unrelated patients with measured primary cutaneous melanoma thickness. As a secondary analysis, we conducted a genome-wide association study (GWAS) of tumor thickness. The analyses utilized 10 604 individuals with primary cutaneous melanoma drawn from nine GWAS datasets from eight cohorts recruited from the general population, primary care and melanoma treatment centers. Following quality control and filtering to unrelated individuals with study phenotypes, 8125 patients were used in the primary analysis to test whether tumor thickness is heritable. An expanded set of 8505 individuals (47.6% female) were analyzed for the secondary GWAS meta-analysis. Analyses were adjusted for participant age, sex, cohort and ancestry. We found that 26.6% (SE 11.9%, P = 0.0128) of variation in tumor thickness is attributable to genome-wide genetic variation. While requiring replication, a chromosome 11 locus was associated (P

Details

ISSN :
14602083 and 09646906
Volume :
29
Database :
OpenAIRE
Journal :
Human Molecular Genetics
Accession number :
edsair.doi.dedup.....4f1404356709eef562b7c7515cb9f278
Full Text :
https://doi.org/10.1093/hmg/ddaa222