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在英国生物银行中将CYP2A6结构变异与卵巢癌和肺癌风险相关联:复制与扩展

Associating CYP2A6 structural variants with ovarian and lung cancer risk in the UK Biobank: replication and extension.

作者信息

Langlois Alec W R, Pouget Jennie G, Knight Jo, Chenoweth Meghan J, Tyndale Rachel F

机构信息

Department of Pharmacology & Toxicology, University of Toronto, 1 King's College Circle, Toronto, ON, M5S 1A8, Canada.

Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, 100 Stokes Street, Toronto, ON, M6J 1H4, Canada.

出版信息

Eur J Hum Genet. 2024 Mar;32(3):357-360. doi: 10.1038/s41431-023-01518-2. Epub 2023 Dec 14.

Abstract

CYP2A6 is a polymorphic enzyme that inactivates nicotine; structural variants (SVs) include gene deletions and hybrids with the neighboring pseudogene CYP2A7. Two studies found that CYP2A7 deletions were associated with ovarian cancer risk. Using their methodology, we aimed to characterize CYP2A6 SVs (which may be misidentified by prediction software as CYP2A7 SVs), then assess CYP2A6 SV-associated risk for ovarian cancer, and extend analyses to lung cancer. An updated reference panel was created to impute CYP2A6 SVs from UK Biobank array data. Logistic regression models analyzed the association between CYP2A6 SVs and cancer risk, adjusting for covariates. Software-predicted CYP2A7 deletions were concordant with known CYP2A6 SVs. Deleterious CYP2A6 SVs were not associated with ovarian cancer (OR = 1.06; 95% CI: 0.80-1.37; p = 0.7) but did reduce the risk of lung cancer (OR = 0.44; 95% CI: 0.29-0.64; p < 0.0001), and a lung cancer subtype. Replication of known lung cancer associations indicates the validity of array-based SV analyses.

摘要

细胞色素P450 2A6(CYP2A6)是一种可使尼古丁失活的多态性酶;其结构变异(SVs)包括基因缺失以及与邻近假基因细胞色素P450 2A7(CYP2A7)的杂交体。两项研究发现,CYP2A7缺失与卵巢癌风险相关。我们采用他们的方法,旨在对CYP2A6的结构变异(可能会被预测软件误识别为CYP2A7的结构变异)进行特征分析,然后评估与CYP2A6结构变异相关的卵巢癌风险,并将分析扩展至肺癌。创建了一个更新的参考面板,以根据英国生物银行阵列数据推断CYP2A6的结构变异。逻辑回归模型分析了CYP2A6结构变异与癌症风险之间的关联,并对协变量进行了调整。软件预测的CYP2A7缺失与已知的CYP2A6结构变异一致。有害的CYP2A6结构变异与卵巢癌无关(比值比[OR]=1.06;95%置信区间[CI]:0.80 - 1.37;p=0.7),但确实降低了肺癌风险(OR=0.44;95% CI:0.29 - 0.64;p<0.0001),以及一种肺癌亚型的风险。对已知肺癌关联的重复验证表明了基于阵列的结构变异分析的有效性。

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