常见和罕见变异分析揭示了特发性肺纤维化的新型遗传因素以及与 COVID-19 的共同病因

Athanasios Kousathanas, Christopher A Odhams, James Cook, Yao Hu, Stephan Klee, A Mesut Erzurumluoglu, Fidel Ramirez, Christoph Mayr, Dennis Schafer, Lara Beck, Ingrid Christ, Taekyu Lee, James Christopher Tarr, Steven W. Fesik, Boehringer Ingelheim - Global Computational Biology and Digital Sciences, James Duboff, Frederik Wirtz-Peitz, Loukas Moutsianas, Matthew A Brown, Jan Kriegl, Goerge Okafo, Jan N Jensen, Matthew J Thomas, Zhihao Ding
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引用次数: 0

摘要

特发性肺纤维化(IPF)是一种进行性衰弱呼吸系统疾病,治疗方法有限。我们利用十万基因组计划(100kGP)的全基因组测序数据(WGS),对一组 IPF 参与者(n=586)进行了全基因组关联(GWAS)、后 GWAS 和罕见变异分析,以确定新的关联和潜在的药物靶点。结合 100kGP 和已发表的 IPF GWAS(共 11,746 例病例和 1,416,493 例对照)进行的元分析在 1q21.2 位点发现了一个新的关联信号(rs16837903,OR[95%CI]=0.88[0.85, 0.92],P=9.54x10-9),该信号也被独立数据成功复制,并与可能的效应基因 MCL1 相关联。与对照组相比,MCL1 在 IPF 患者肺泡上皮 I 型细胞中的表达水平有所增加。尽管MCL1具有已知的抗凋亡作用,但体外抑制MCL1并不能选择性地清除衰老细胞,这表明靶向MCL1的过程非常复杂。罕见变异负荷分析发现,参与血管生成调控的分泌性糖蛋白ANGPTL7是一个新的IPF候选基因(OR[95%CI]=28.79 [8.51-97.43],P=6.73x10-8)。全转录组关联分析(TWAS)显示,细胞周期调节因子 SERTAD2 和核导入因子 TPNO3 的过表达与 IPF 风险的增加有关。我们还研究了 IPF 与严重 COVID-19 之间的共享遗传机制,并扩展了共享遗传位点列表,在 1q21.2、6p24.3 和 16p13.3,发现了三个新的共定位信号,分别与可能的效应基因 MCL1、DSP 和 RHBDF1 有关,它们分别涉及细胞凋亡、细胞粘附和表皮生长因子信号的调控。通过多性状荟萃分析,我们利用 IPF 与严重 COVID-19 之间的遗传相关性(rg[95% CI]) = 0.39 [0.25-0.53]),进一步发现并复制了 2p16.1 上的另一个新的候选 IPF 信号,该信号与可能的效应基因 BCL11A 有关,BCL11A 是造血和淋巴细胞发育的调控因子。基于各项分析中的优先基因,我们提出了介导 IPF 疾病风险的机制,以及 IPF 和严重 COVID-19 之间的共享机制,从而扩大了开发共同治疗方法的潜力。
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Common and rare variant analyses reveal novel genetic factors underlying Idiopathic Pulmonary Fibrosis and shared aetiology with COVID-19
Idiopathic pulmonary fibrosis (IPF) is a progressive and debilitating respiratory disease with limited therapeutic options. We carried out genome-wide association (GWAS), post-GWAS and rare variant analyses utilising the whole genome sequencing data (WGS) from the 100,000 Genomes Project (100kGP) of a cohort of IPF participants (n=586) to identify novel associations and potential drug targets. Meta-analysis combining 100kGP and published GWASs of IPF (total 11,746 cases and 1,416,493 controls) identified a novel association signal at the 1q21.2 locus (rs16837903, OR[95%CI]=0.88[0.85, 0.92], P=9.54x10-9) which was also successfully replicated with independent data and linked to the probable effector gene MCL1. MCL1 showed increased expression levels in IPF patients versus controls in alveolar epithelial type I cells. Despite its known antiapoptotic role, inhibition of MCL1 in vitro did not selectively deplete senescent cells, hinting at the complexity involved in targeting MCL1. Rare variant burden analysis identified ANGPTL7, a secreted glycoprotein involved in the regulation of angiogenesis, as a novel IPF candidate gene (OR[95%CI]=28.79 [8.51-97.43], P=6.73x10-8). Transcriptome-wide association analysis (TWAS) revealed that overexpression of cell cycle regulator SERTAD2 and nuclear importer TPNO3 were associated with increased IPF risk. We also investigated shared genetic mechanisms between IPF with severe COVID-19 and expanded the list of shared genetic loci with three novel colocalised signals at 1q21.2, 6p24.3 and 16p13.3 with probable effector genes MCL1, DSP and RHBDF1, implicating regulation of apoptosis, cell adhesion and epidermal growth factor signalling, respectively. By leveraging the genetic correlation between IPF and severe COVID-19 (rg[95% CI]) = 0.39 [0.25-0.53]) through multi-trait meta-analysis, we further identified and replicated an additional novel candidate IPF signal at 2p16.1 with probable effector gene BCL11A, a regulator of haematopoiesis and lymphocyte development. Based on prioritized genes across analyses, we propose mechanisms mediating IPF disease risk and shared mechanisms between IPF and severe COVID-19, thereby expanding the potential for developing common treatments.
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