@article{21491, author = {Kanetsky P. and Dwyer T and Gibbs D. and Orlow I. and Luo L. and Kricker A. and Armstrong B. and Anton-Culver H. and Gruber S. and Marrett L. and Gallagher R. and Zanetti R. and Rosso S. and Sharma A. and La Pilla E. and From L. and Busam K. and Cust A. and Ollila D. and Begg C. and Berwick M. and Thomas N.}, title = {Inherited genetic variants associated with occurrence of multiple primary melanoma}, abstract = {

Recent studies including genome-wide association studies have identified several putative low-penetrance susceptibility loci for melanoma. We sought to determine their generalizability to genetic predisposition for multiple primary melanoma in the international population-based Genes, Environment, and Melanoma (GEM) Study. GEM is a case-control study of 1,206 incident cases of multiple primary melanoma and 2,469 incident first primary melanoma participants as the control group. We investigated the odds of developing multiple primary melanoma for 47 single nucleotide polymorphisms (SNP) from 21 distinct genetic regions previously reported to be associated with melanoma. ORs and 95% CIs were determined using logistic regression models adjusted for baseline features (age, sex, age by sex interaction, and study center). We investigated univariable models and built multivariable models to assess independent effects of SNPs. Eleven SNPs in 6 gene neighborhoods (TERT/CLPTM1L, TYRP1, MTAP, TYR, NCOA6, and MX2) and a PARP1 haplotype were associated with multiple primary melanoma. In a multivariable model that included only the most statistically significant findings from univariable modeling and adjusted for pigmentary phenotype, back nevi, and baseline features, we found TERT/CLPTM1L rs401681 (P = 0.004), TYRP1 rs2733832 (P = 0.006), MTAP rs1335510 (P = 0.0005), TYR rs10830253 (P = 0.003), and MX2 rs45430 P = 0.008) to be significantly associated with multiple primary melanoma while NCOA6 rs4911442 approached significance (P = 0.06). The GEM study provides additional evidence for the relevance of these genetic regions to melanoma risk and estimates the magnitude of the observed genetic effect on development of subsequent primary melanoma.

}, year = {2015}, journal = {Cancer Epidemiology, Biomarkers and Prevention}, volume = {24}, edition = {2015/04/04}, number = {6}, pages = {992-7}, isbn = {1538-7755 (Electronic)
1055-9965 (Linking)}, note = {Gibbs, David C
Orlow, Irene
Kanetsky, Peter A
Luo, Li
Kricker, Anne
Armstrong, Bruce K
Anton-Culver, Hoda
Gruber, Stephen B
Marrett, Loraine D
Gallagher, Richard P
Zanetti, Roberto
Rosso, Stefano
Dwyer, Terence
Sharma, Ajay
La Pilla, Emily
From, Lynn
Busam, Klaus J
Cust, Anne E
Ollila, David W
Begg, Colin B
Berwick, Marianne
Thomas, Nancy E
P30 CA008748/CA/NCI NIH HHS/United States
P30 CA014089/CA/NCI NIH HHS/United States
P30 CA016086/CA/NCI NIH HHS/United States
P30 ES010126/ES/NIEHS NIH HHS/United States
R01 CA098438/CA/NCI NIH HHS/United States
R01 CA112243/CA/NCI NIH HHS/United States
R01 CA112524/CA/NCI NIH HHS/United States
R33 CA160138/CA/NCI NIH HHS/United States
U01 CA083180/CA/NCI NIH HHS/United States
Cancer Epidemiol Biomarkers Prev. 2015 Apr 2. pii: cebp.1426.2014.}, language = {Eng}, }