Jiang Yunke, Li Hongru, Li Zaiming, Du Sha, Zhang Ruyang, Zhao Yang, Christiani David C, Shen Sipeng, Chen Feng
Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China.
Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Jiangsu Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
Transl Lung Cancer Res. 2024 Mar 29;13(3):512-525. doi: 10.21037/tlcr-24-4. Epub 2024 Mar 14.
Genome-wide association studies (GWASs) explain the genetic susceptibility between diseases and common variants. Nevertheless, with the appearance of large-scale sequencing profiles, we could explore the rare coding variants in disease pathogenesis.
We estimated the genetic correlation of nine respiratory diseases and lung cancer in the UK Biobank (UKB) by linkage disequilibrium score regression (LDSC). Then, we performed exome-wide association studies at single-variant level and gene-level for lung cancer and lung cancer-related respiratory diseases using the whole-exome sequencing (WES) data of 427,934 European participants. Cross-trait meta-analysis was conducted by association analysis based on subsets (ASSET) to identify the pleiotropic variants, while in-silico functional analysis was performed to explore their function. Causal mediation analysis was used to explore whether these pleiotropic variants lead to lung cancer is mediated by affecting the chronic respiratory diseases.
Five respiratory diseases [emphysema, pneumonia, asthma, chronic obstructive pulmonary disease (COPD), and fibrosis] were genetically correlated with lung cancer. We identified 102 significant independent variants at single-variant levels for lung cancer and five lung cancer-related diseases. 15:78590583:G>A (missense variant in ) was shared in lung cancer, emphysema, and COPD. Meanwhile, 14 significant genes and 87 suggestive genes were identified in gene-based association tests, including (lung cancer), (pneumonia), (asthma), (fibrosis), (emphysema). Based on the cross-trait meta-analysis, we detected 145 independent pleiotropic variants. We further identified abundant pathways with significant enrichment effects, demonstrating that these pleiotropic genes were functional. Meanwhile, the proportion of mediation effects of these variants ranged from 6 to 23 (emphysema: 23%; COPD: 20%; pneumonia: 20%; fibrosis: 7%; asthma: 6%) through these five respiratory diseases to the incidence of lung cancer.
The identified shared genetic variants, genes, biological pathways, and potential intermediate causal pathways provide a basis for further exploration of the relationship between lung cancer and respiratory diseases.
全基因组关联研究(GWAS)解释了疾病与常见变异之间的遗传易感性。然而,随着大规模测序图谱的出现,我们能够探索罕见编码变异在疾病发病机制中的作用。
我们通过连锁不平衡评分回归(LDSC)估计了英国生物银行(UKB)中九种呼吸系统疾病与肺癌之间的遗传相关性。然后,我们使用427,934名欧洲参与者的全外显子组测序(WES)数据,在单变异水平和基因水平上对肺癌及与肺癌相关的呼吸系统疾病进行了外显子组范围的关联研究。通过基于子集的关联分析(ASSET)进行跨性状荟萃分析,以识别多效性变异,同时进行计算机功能分析以探索其功能。采用因果中介分析来探究这些多效性变异导致肺癌是否是通过影响慢性呼吸系统疾病来介导的。
五种呼吸系统疾病[肺气肿、肺炎、哮喘、慢性阻塞性肺疾病(COPD)和纤维化]与肺癌存在遗传相关性。我们在单变异水平上为肺癌和五种与肺癌相关的疾病鉴定出102个显著的独立变异。15:78590583:G>A(位于 中的错义变异)在肺癌、肺气肿和COPD中共有。同时,在基于基因的关联测试中鉴定出14个显著基因和87个提示性基因,包括 (肺癌)、 (肺炎)、 (哮喘)、 (纤维化)、 (肺气肿)。基于跨性状荟萃分析,我们检测到145个独立的多效性变异。我们进一步鉴定出大量具有显著富集效应的通路,表明这些多效性基因具有功能。同时,这些变异通过这五种呼吸系统疾病对肺癌发病率的中介效应比例在6%至23%之间(肺气肿:23%;COPD:20%;肺炎:20%;纤维化:7%;哮喘:6%)。
所鉴定出的共享遗传变异、基因、生物学通路以及潜在的中间因果通路为进一步探索肺癌与呼吸系统疾病之间的关系提供了基础。