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全基因组关联研究中肺癌与多种多基因表型的共享遗传结构。

The Shared Genetic Architectures Between Lung Cancer and Multiple Polygenic Phenotypes in Genome-Wide Association Studies.

机构信息

Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, Texas.

Section of Epidemiology and Population Sciences, Department of Medicine, Baylor College of Medicine, Houston, Texas.

出版信息

Cancer Epidemiol Biomarkers Prev. 2021 Jun;30(6):1156-1164. doi: 10.1158/1055-9965.EPI-20-1635. Epub 2021 Mar 26.

Abstract

BACKGROUND

Prior genome-wide association studies have identified numerous lung cancer risk loci and reveal substantial etiologic heterogeneity across histologic subtypes. Analyzing the shared genetic architecture underlying variation in complex traits can elucidate common genetic etiologies across phenotypes. Exploring pairwise genetic correlations between lung cancer and other polygenic traits can reveal the common genetic etiology of correlated phenotypes.

METHODS

Using cross-trait linkage disequilibrium score regression, we estimated the pairwise genetic correlation and heritability between lung cancer and multiple traits using publicly available summary statistics. Identified genetic relationships were also examined after excluding genomic regions known to be associated with smoking behaviors, a major risk factor for lung cancer.

RESULTS

We observed several traits showing moderate single nucleotide polymorphism-based heritability and significant genetic correlations with lung cancer. We observed highly significant correlations between the genetic architectures of lung cancer and emphysema/chronic bronchitis across all histologic subtypes, as well as among lung cancer occurring among smokers. Our analyses revealed highly significant positive correlations between lung cancer and paternal history of lung cancer. We also observed a strong negative correlation with parental longevity. We observed consistent directions in genetic patterns after excluding genomic regions associated with smoking behaviors.

CONCLUSIONS

This study identifies numerous phenotypic traits that share genomic architecture with lung carcinogenesis and are not fully accounted for by known smoking-associated genomic loci.

IMPACT

These findings provide new insights into the etiology of lung cancer by identifying traits that are genetically correlated with increased risk of lung cancer.

摘要

背景

先前的全基因组关联研究已经确定了许多肺癌风险位点,并揭示了不同组织学亚型之间存在大量的病因异质性。分析复杂性状变异的共享遗传结构可以阐明表型之间共同的遗传病因。探索肺癌与其他多基因性状之间的成对遗传相关性可以揭示相关表型的共同遗传病因。

方法

我们使用跨性状连锁不平衡评分回归,使用公开的汇总统计数据,估计了肺癌与多种性状之间的成对遗传相关性和遗传度。在排除已知与吸烟行为相关的基因组区域(肺癌的主要危险因素)后,我们还检查了已识别的遗传关系。

结果

我们观察到一些性状表现出中等程度的基于单核苷酸多态性的遗传度和与肺癌有显著遗传相关性。我们观察到所有组织学亚型的肺癌和肺气肿/慢性支气管炎之间的遗传结构以及吸烟者中的肺癌之间存在高度显著的相关性。我们的分析揭示了肺癌与父亲肺癌病史之间存在高度显著的正相关。我们还观察到与父母长寿之间存在强烈的负相关。在排除与吸烟行为相关的基因组区域后,我们观察到遗传模式的一致方向。

结论

本研究通过鉴定与肺癌风险增加具有遗传相关性的性状,确定了与肺癌发生具有遗传结构的许多表型特征,这些特征不能完全用已知的与吸烟相关的基因组区域来解释。

影响

这些发现通过确定与肺癌风险增加具有遗传相关性的性状,为肺癌的病因学提供了新的见解。

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