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Association between putative functional variants in the PSMB9 gene and risk of melanoma – re‐analysis of published melanoma genome‐wide association studies
Authors:Sheng Wei  Zhensheng Liu  Yangkai Li  Li‐E Wang  Wei V Chen  Christopher I Amos  Jeffrey E Lee  Mark M Iles  Matthew H Law  Anne E Cust  Jennifer H Barrett  Grant W Montgomery  John Taylor  Julia A Newton Bishop  Stuart MacGregor  D Timothy Bishop  Graham J Mann  Nicholas K Hayward  Qingyi Wei
Institution:1. Department of Epidemiology, The University of Texas MD Anderson Cancer Center, , Houston, TX, USA;2. Department of Genetics, The University of Texas MD Anderson Cancer Center, , Houston, TX, USA;3. Present address: Department of Community and Family Medicine, Geisel College of Medicine, Dartmouth College, , Hanover, NH, USA;4. Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, , Houston, TX, USA;5. Section of Epidemiology and Biostatistics, Leeds Institute of Molecular Medicine, Cancer Research UK Clinical Centre at Leeds, St James's University Hospital, , Leeds, UK;6. Queensland Institute of Medical Research, , Brisbane, Qld, Australia;7. Cancer Epidemiology and Services Research, Sydney School of Public Health, , The University of Sydney, NSW, Australia;8. Westmead Institute for Cancer Research, University of Sydney at Westmead Millennium Institute, , Sydney, NSW, Australia
Abstract:To mine possibly hidden causal single‐nucleotide polymorphisms (SNPs) of melanoma, we investigated the association of SNPs in 76 M/G1 transition genes with melanoma risk using our published genome‐wide association study (GWAS) data set with 1804 melanoma cases and 1026 cancer‐free controls. We found multiple SNPs with P < 0.01 and performed validation studies for 18 putative functional SNPs in PSMB9 in two other GWAS data sets. Two SNPs (rs1351383 and rs2127675) were associated with melanoma risk in the GenoMEL data set (P = 0.013 and 0.004, respectively), but failed in validation using the Australian data set. Genotype–phenotype analysis revealed these two SNPs were significantly correlated with mRNA expression level of PSMB9. Further experiments revealed that SNP rs2071480, which is in high LD with rs1351383 and rs2127675, may have a weak effect on the promoter activity of PSMB9. Taken together, our data suggested that functional variants in PSMB9 may contribute to melanoma susceptibility.
Keywords:genome‐wide association study  cell cycle     PSMB9     polymorphism  melanoma
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