Barrett Jennifer H, Taylor John C, Bright Chloe, Harland Mark, Dunning Alison M, Akslen Lars A, Andresen Per A, Avril Marie-Françoise, Azizi Esther, Bianchi Scarrà Giovanna, Brossard Myriam, Brown Kevin M, Dębniak Tadeusz, Elder David E, Friedman Eitan, Ghiorzo Paola, Gillanders Elizabeth M, Gruis Nelleke A, Hansson Johan, Helsing Per, Hočevar Marko, Höiom Veronica, Ingvar Christian, Landi Maria Teresa, Lang Julie, Lathrop G Mark, Lubiński Jan, Mackie Rona M, Molven Anders, Novaković Srdjan, Olsson Håkan, Puig Susana, Puig-Butille Joan Anton, van der Stoep Nienke, van Doorn Remco, van Workum Wilbert, Goldstein Alisa M, Kanetsky Peter A, Pharoah Paul D P, Demenais Florence, Hayward Nicholas K, Newton Bishop Julia A, Bishop D Timothy, Iles Mark M
Section of Epidemiology and Biostatistics, Leeds Institute of Cancer and Pathology, University of Leeds, Leeds, United Kingdom.
Int J Cancer. 2015 Mar 15;136(6):1351-60. doi: 10.1002/ijc.29099. Epub 2014 Aug 14.
At least 17 genomic regions are established as harboring melanoma susceptibility variants, in most instances with genome-wide levels of significance and replication in independent samples. Based on genome-wide single nucleotide polymorphism (SNP) data augmented by imputation to the 1,000 Genomes reference panel, we have fine mapped these regions in over 5,000 individuals with melanoma (mainly from the GenoMEL consortium) and over 7,000 ethnically matched controls. A penalized regression approach was used to discover those SNP markers that most parsimoniously explain the observed association in each genomic region. For the majority of the regions, the signal is best explained by a single SNP, which sometimes, as in the tyrosinase region, is a known functional variant. However in five regions the explanation is more complex. At the CDKN2A locus, for example, there is strong evidence that not only multiple SNPs but also multiple genes are involved. Our results illustrate the variability in the biology underlying genome-wide susceptibility loci and make steps toward accounting for some of the "missing heritability."
至少17个基因组区域已被确定含有黑色素瘤易感性变异,在大多数情况下,这些变异在全基因组水平上具有显著性,并能在独立样本中得到重复验证。基于通过推算至千人基因组参考面板而扩充的全基因组单核苷酸多态性(SNP)数据,我们在5000多名黑色素瘤患者(主要来自GenoMEL联盟)和7000多名种族匹配的对照个体中对这些区域进行了精细定位。我们采用了一种惩罚回归方法来发现那些能最简约地解释每个基因组区域中观察到的关联的SNP标记。对于大多数区域,信号最好由单个SNP来解释,有时,如在酪氨酸酶区域,这是一个已知的功能变异。然而,在五个区域中,解释更为复杂。例如,在CDKN2A基因座,有强有力的证据表明不仅多个SNP而且多个基因都参与其中。我们的结果说明了全基因组易感性位点背后生物学机制的变异性,并朝着解释一些“缺失的遗传力”迈出了步伐。