分子QTL分析发现慢性淋巴细胞白血病遗传危险位点的功能变异

IF 12.5 1区 医学 Q1 ONCOLOGY
Huihuang Yan, Zhiquan Wang, Mingma Hoel, Cristine Allmer, Chantal McCabe, Daniel O’Brien, Dennis Robinson, James Cerhan, Sameer Parikh, Esteban Braggio, Susan Slager
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引用次数: 0

摘要

全基因组关联研究(GWASs)发现的大多数疾病相关单核苷酸多态性(snp)位于非编码区。越来越多的证据表明,它们通过改变局部染色质状态、三维染色质结构和环相互作用等表观遗传机制发挥调控作用。我们和其他人已经从GWASs中确定了42个CLL风险位点。在12个位于基因启动子之外的风险位点上,我们先前证明了功能snp在主要靶向BCL2家族基因和转录调节因子的增强子和超增强子中高度富集。然而,该研究仅使用了淋巴母细胞样细胞系(LCL)和正常免疫相关细胞类型中产生的公开表观基因组数据,因此受到限制。为了更好地了解功能性snp如何改变CLL肿瘤B细胞的局部染色质状态并调节靶基因表达,我们在CLL肿瘤B细胞中生成了RNA-seq数据(n=588)和转座酶可及染色质测序(ATAC-seq)数据(n=69)。我们对41个危险位点(不包括HLA位点)进行了分子数量性状位点(QTL)分析,其指数和相关snp (R2 0.5)。分析发现,25个风险位点上有顺式表达qtl (eqtl),位于基因转录起始位点1Mb内;11个风险位点上有染色质可及性qtl (caqtl,位于峰值内),其中8个风险位点上有eqtl和caqtl。我们共鉴定出54个eGenes,其表达受到1Mb内附近snp的影响,其中包括40个新的eGenes,它们位于16个CLL风险位点,以前未报道过。值得注意的是,根据来自CLL、LCL和正常B细胞的公开的染色体相互作用数据,在超过70%的新eGenes中,它们的启动子与携带eqtl的区域显示了环相互作用。此外,13个snp被鉴定为caQTL和eQTL,相关的新eGenes包括位于11p15.5的CD81,位于6q25.2的IPCEF1,以及位于18q21.1的CXXC1和MBD1。结果表明,这些snp在改变染色质可及性中起作用,导致基因表达变异。在11p15.5风险位点,SNP rs2651823 (A/G)代表了一个新的caQTL和eQTL。另一种G等位基因与染色质可及性和CD81表达增加有关。来自GM12878和CD20+ B细胞的Hi-C数据支持携带rs2651823的开放染色质区域与CD81启动子之间的相互作用。CD81促进CD19转运到活化的B细胞表面,CD81缺失小鼠表现出免疫应答受损。在小鼠模型中,CD81参与Lewis肺癌的肿瘤进展和转移。总之,我们的分子QTL分析显示,位于CLL风险位点的功能性snp调节染色质可及性和下游靶基因的表达,从而影响CLL风险。引文格式:颜慧煌,王志全,明玛酒店,克里斯汀·奥尔默,Chantal McCabe,丹尼尔·奥布莱恩,丹尼斯·罗宾逊,詹姆斯·Cerhan, Sameer Parikh, Esteban Braggio, Susan Slager。分子QTL分析鉴定慢性淋巴细胞白血病遗传危险位点的功能变异[摘要]。摘自:《2025年美国癌症研究协会年会论文集》;第1部分(常规);2025年4月25日至30日;费城(PA): AACR;中国生物医学工程学报,2015;31(5):391 - 391。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Abstract 2763: Molecular QTL analyses identify functional variants at inherited risk loci in chronic lymphocytic leukemia
Most disease-associated single-nucleotide polymorphisms (SNPs) identified by genome-wide association studies (GWASs) reside in noncoding regions. There is increasing evidence that they play regulatory roles through epigenetic mechanisms by altering local chromatin state, 3D chromatin structure, and looping interactions. We and others have identified 42 CLL risk loci from GWASs. At 12 risk loci located outside of gene promoters, we previously demonstrated that functional SNPs are highly enriched in enhancers and super-enhancers that mostly target BCL2 family genes and transcriptional regulators. However, the study was limited by using only public epigenomic data generated in lymphoblastoid cell lines (LCL) and normal immune related cell types. To gain a better understanding of how the functional SNPs alter local chromatin state and modulate target gene expression in CLL, we generated RNA-seq data (n=588) and transposase-accessible chromatin with sequencing (ATAC-seq) data (n=69) in CLL tumor B cells. We performed molecular quantitative trait loci (QTL) analysis with index and correlated SNPs (R2 0.5) at 41 risk loci (excluding the HLA locus). The analyses identified cis expression QTLs (eQTLs), within 1Mb of genes’ transcription start site, at 25 risk loci and chromatin accessibility QTLs (caQTLs, within peak) at 11 risk loci, with both eQTLs and caQTLs at 8 risk loci. We identified a total of 54 eGenes, for which the expression is affected by nearby SNPs within 1Mb, including 40 novel eGenes at 16 CLL risk loci not previously reported. Notably, based on publicly available chromosome interaction data from CLL, LCL, and normal B cells, for over 70% of the novel eGenes, their promoters showed looping interactions with the regions carrying the eQTLs. Further, 13 SNPs were identified as both caQTL and eQTL, with the associated novel eGenes including CD81 at 11p15.5, IPCEF1 at 6q25.2, as well as CXXC1 and MBD1 at 18q21.1. The result suggests that these SNPs play a role in altering chromatin accessibility contributed to gene expression variation. At 11p15.5 risk locus, SNP rs2651823 (A/G) represents a novel caQTL and eQTL. The alternative G allele is associated with increased chromatin accessibility and CD81 expression. Hi-C data from GM12878 and CD20+ B cells supported interaction between the open chromatin region carrying rs2651823 and CD81 promoter. CD81 facilitates the trafficking of CD19 to the surface of activated B cells, and CD81-null mice showed impaired immune response. In a mouse model, CD81 contributes to tumor progression and metastasis in Lewis lung carcinoma. In summary, our molecular QTL analysis revealed that functional SNPs, located in CLL risk loci, modulate chromatin accessibility and expression of downstream target genes that could impact CLL risk. Citation Format: Huihuang Yan, Zhiquan Wang, Mingma Hoel, Cristine Allmer, Chantal McCabe, Daniel O’Brien, Dennis Robinson, James Cerhan, Sameer Parikh, Esteban Braggio, Susan Slager. Molecular QTL analyses identify functional variants at inherited risk loci in chronic lymphocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular s); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1): nr 2763.
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来源期刊
Cancer research
Cancer research 医学-肿瘤学
CiteScore
16.10
自引率
0.90%
发文量
7677
审稿时长
2.5 months
期刊介绍: Cancer Research, published by the American Association for Cancer Research (AACR), is a journal that focuses on impactful original studies, reviews, and opinion pieces relevant to the broad cancer research community. Manuscripts that present conceptual or technological advances leading to insights into cancer biology are particularly sought after. The journal also places emphasis on convergence science, which involves bridging multiple distinct areas of cancer research. With primary subsections including Cancer Biology, Cancer Immunology, Cancer Metabolism and Molecular Mechanisms, Translational Cancer Biology, Cancer Landscapes, and Convergence Science, Cancer Research has a comprehensive scope. It is published twice a month and has one volume per year, with a print ISSN of 0008-5472 and an online ISSN of 1538-7445. Cancer Research is abstracted and/or indexed in various databases and platforms, including BIOSIS Previews (R) Database, MEDLINE, Current Contents/Life Sciences, Current Contents/Clinical Medicine, Science Citation Index, Scopus, and Web of Science.
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