Cerhan James R, Ansell Stephen M, Fredericksen Zachary S, Kay Neil E, Liebow Mark, Call Timothy G, Dogan Ahmet, Cunningham Julie M, Wang Alice H, Liu-Mares Wen, Macon William R, Jelinek Diane, Witzig Thomas E, Habermann Thomas M, Slager Susan L
Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine, Rochester, MN 55905, USA.
Blood. 2007 Dec 15;110(13):4455-63. doi: 10.1182/blood-2007-05-088682. Epub 2007 Sep 7.
Smaller-scale evaluations suggest that common genetic variation in candidate genes related to immune function may predispose to the development of non-Hodgkin lymphoma (NHL). We report an analysis of variants within genes associated with immunity and inflammation and risk of NHL using a panel of 9412 single-nucleotide polymorphisms (SNPs) from 1253 genes in a study of 458 patients with NHL and 484 frequency-matched controls. We modeled haplotypes and risk of NHL, as well as the main effects for all independent SNPs from a gene in multivariate logistic regression models; we separately report results for nonsynonymous (ns) SNPs. In gene-level analyses, the strongest findings (P < or = .001) were for CREB1, FGG, MAP3K5, RIPK3, LSP1, TRAF1, DUSP2, and ITGB3. In nsSNP analyses, the strongest findings (P < or = .01) were for ITGB3 L59P (odds ratio [OR] = 0.66; 95% confidence interval [CI] 0.52-0.85), TLR6 V427A (OR = 5.20; CI 1.77-15.3), SELPLG M264V (OR = 3.20; CI 1.48-6.91), UNC84B G671S (OR = 1.50; CI 1.12-2.00), B3GNT3 H328R (OR = 0.74; CI 0.59-0.93), and BAT2 V1883L (OR = 0.64; CI 0.45-0.90). Our results suggest that genetic variation in genes associated with immune response (TRAF1, RIPK3, BAT2, and TLR6), mitogen-activated protein kinase (MAPK) signaling (MAP3K5, DUSP2, and CREB1), lymphocyte trafficking and migration (B3GNT3, SELPLG, and LSP1), and coagulation pathways (FGG and ITGB3) may be important in the etiology of NHL, and should be prioritized in replication studies.
小规模评估表明,与免疫功能相关的候选基因中的常见基因变异可能易患非霍奇金淋巴瘤(NHL)。我们报告了一项对458例NHL患者和484例频率匹配对照进行的研究,该研究使用来自1253个基因的9412个单核苷酸多态性(SNP)对与免疫、炎症及NHL风险相关基因内的变异进行分析。我们在多变量逻辑回归模型中对单倍型和NHL风险以及来自一个基因的所有独立SNP的主要效应进行建模;我们分别报告非同义(ns)SNP的结果。在基因水平分析中,最显著的结果(P≤0.001)见于CREB1、FGG、MAP3K5、RIPK3、LSP1、TRAF1、DUSP2和ITGB3。在nsSNP分析中,最显著的结果(P≤0.01)见于ITGB3 L59P(比值比[OR]=0.66;95%置信区间[CI]0.52 - 0.85)、TLR6 V427A(OR = 5.20;CI 1.77 - 15. .3)、SELPLG M264V(OR = 3.20;CI 1.48 - .6.91)、UNC84B G671S(OR = 1.50;CI 1.12 - 2.00)、B3GNT3 H328R(OR = 0.74;CI 0.59 - 0.93)和BAT2 V1883L(OR = 0.64;CI 0.45 - 0.90)。我们的结果表明,与免疫反应相关的基因(TRAF1、RIPK3、BAT2和TLR6)、丝裂原活化蛋白激酶(MAPK)信号传导(MAP3K5、DUSP2和CREB1)、淋巴细胞运输和迁移(B3GNT3、SELPLG和LSP1)以及凝血途径(FGG和ITGB3)中的基因变异可能在NHL的病因学中起重要作用,应在复制研究中优先考虑。