Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, United States of America.
PLoS One. 2012;7(1):e29632. doi: 10.1371/journal.pone.0029632. Epub 2012 Jan 3.
Recent genome-wide association studies (GWAS) have identified several gene variants associated with sporadic chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Many of these CLL/SLL susceptibility loci are located in non-coding or intergenic regions, posing a significant challenge to determine their potential functional relevance. Here, we review the literature of all CLL/SLL GWAS and validation studies, and apply eQTL analysis to identify putatively functional SNPs that affect gene expression that may be causal in the pathogenesis of CLL/SLL. We tested 12 independent risk loci for their potential to alter gene expression through cis-acting mechanisms, using publicly available gene expression profiles with matching genotype information. Sixteen SNPs were identified that are linked to differential expression of SP140, a putative tumor suppressor gene previously associated with CLL/SLL. Three additional SNPs were associated with differential expression of DACT3 and GNG8, which are involved in the WNT/β-catenin- and G protein-coupled receptor signaling pathways, respectively, that have been previously implicated in CLL/SLL pathogenesis. Using in silico functional prediction tools, we found that 14 of the 19 significant eQTL SNPs lie in multiple putative regulatory elements, several of which have prior implications in CLL/SLL or other hematological malignancies. Although experimental validation is needed, our study shows that the use of existing GWAS data in combination with eQTL analysis and in silico methods represents a useful starting point to screen for putatively causal SNPs that may be involved in the etiology of CLL/SLL.
最近的全基因组关联研究(GWAS)已经确定了几个与散发性慢性淋巴细胞白血病/小淋巴细胞淋巴瘤(CLL/SLL)相关的基因变异。这些 CLL/SLL 易感性位点中的许多位于非编码区或基因间区,这给确定它们的潜在功能相关性带来了重大挑战。在这里,我们回顾了所有 CLL/SLL GWAS 和验证研究的文献,并应用 eQTL 分析来识别可能影响基因表达的潜在功能性 SNPs,这些 SNPs 可能在 CLL/SLL 的发病机制中起因果作用。我们使用具有匹配基因型信息的公开可用的基因表达谱,通过顺式作用机制测试了 12 个独立的风险位点,以确定它们改变基因表达的潜力。鉴定出 16 个与 SP140 差异表达相关的 SNP,SP140 是先前与 CLL/SLL 相关的假定肿瘤抑制基因。另外三个 SNP 与 DACT3 和 GNG8 的差异表达相关,DACT3 和 GNG8 分别参与 WNT/β-catenin 和 G 蛋白偶联受体信号通路,这些通路先前与 CLL/SLL 的发病机制有关。使用计算机功能预测工具,我们发现 19 个显著的 eQTL SNP 中有 14 个位于多个假定的调控元件中,其中几个在 CLL/SLL 或其他血液恶性肿瘤中具有先前的意义。虽然需要进行实验验证,但我们的研究表明,使用现有的 GWAS 数据结合 eQTL 分析和计算机方法是筛选可能参与 CLL/SLL 病因的假定因果 SNP 的一个有用起点。