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更新的皮肤黑色素瘤遗传关联研究现场摘要和系统荟萃分析:MelGene 数据库。

Updated field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma: the MelGene database.

机构信息

Department of Dermatology, University of Athens School of Medicine, Andreas Sygros Hospital, Athens, Greece.

Neuropsychiatric Genetics Group, Department of Vertebrate Genomics, Max Planck Institute for Molecular Genetics, Berlin, Germany; Department of Neurology, Focus Program Translational Neuroscience, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.

出版信息

J Invest Dermatol. 2015 Apr;135(4):1074-1079. doi: 10.1038/jid.2014.491. Epub 2014 Nov 19.

Abstract

We updated a field synopsis of genetic associations of cutaneous melanoma (CM) by systematically retrieving and combining data from all studies in the field published as of August 31, 2013. Data were available from 197 studies, which included 83,343 CM cases and 187,809 controls and reported on 1,126 polymorphisms in 289 different genes. Random-effects meta-analyses of 81 eligible polymorphisms evaluated in >4 data sets confirmed 20 single-nucleotide polymorphisms across 10 loci (TYR, AFG3L1P, CDK10, MYH7B, SLC45A2, MTAP, ATM, CLPTM1L, FTO, and CASP8) that have previously been published with genome-wide significant evidence for association (P<5 × 10(-8)) with CM risk, with certain variants possibly functioning as proxies of already tagged genes. Four other loci (MITF, CCND1, MX2, and PLA2G6) were also significantly associated with 5 × 10(-8)<P<1 × 10(-3). In supplementary meta-analyses derived from genome-wide association studies, one additional locus located 11 kb upstream of ARNT (chromosome 1q21) showed genome-wide statistical significance with CM. Our approach serves as a useful model in analyzing and integrating the reported germline alterations involved in CM.

摘要

我们通过系统地检索和整合截至 2013 年 8 月 31 日发表的所有领域研究中的数据,更新了皮肤黑色素瘤(CM)遗传关联的领域综述。数据来自 197 项研究,其中包括 83343 例 CM 病例和 187809 例对照,报告了 289 个不同基因中的 1126 个多态性。对 81 个在>4 个数据集评估的合格多态性进行的随机效应荟萃分析证实了 10 个基因座(TYR、AFG3L1P、CDK10、MYH7B、SLC45A2、MTAP、ATM、CLPTM1L、FTO 和 CASP8)中的 20 个单核苷酸多态性与 CM 风险具有全基因组显著关联(P<5×10(-8)),某些变体可能作为已经标记基因的替代物发挥作用。另外四个基因座(MITF、CCND1、MX2 和 PLA2G6)也与 5×10(-8)<P<1×10(-3)显著相关。在全基因组关联研究的补充荟萃分析中,位于 ARNT(染色体 1q21)上游 11kb 处的另一个基因座与 CM 具有全基因组统计学意义。我们的方法为分析和整合涉及 CM 的报道性系改变提供了一种有用的模型。

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