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Mendelian Randomization and mediation analysis of leukocyte telomere length and risk of lung and head and neck cancers.
International Journal of Epidemiology ( IF 7.7 ) Pub Date : 2019-06-01 , DOI: 10.1093/ije/dyy140
Linda Kachuri 1, 2 , Olli Saarela 3 , Stig Egil Bojesen 4, 5 , George Davey Smith 6 , Geoffrey Liu 2, 7 , Maria Teresa Landi 8 , Neil E Caporaso 8 , David C Christiani 9, 10 , Mattias Johansson 11 , Salvatore Panico 12 , Kim Overvad 13 , Antonia Trichopoulou 14, 15 , Paolo Vineis 16 , Ghislaine Scelo 11 , David Zaridze 17 , Xifeng Wu 18 , Demetrius Albanes 8 , Brenda Diergaarde 19 , Pagona Lagiou 15 , Gary J Macfarlane 20 , Melinda C Aldrich 21 , Adonina Tardón 22 , Gad Rennert 23 , Andrew F Olshan 24 , Mark C Weissler 25 , Chu Chen 26 , Gary E Goodman 26 , Jennifer A Doherty 27 , Andrew R Ness 28 , Heike Bickeböller 29 , H-Erich Wichmann 30, 31, 32 , Angela Risch 33 , John K Field 34 , M Dawn Teare 35 , Lambertus A Kiemeney 36 , Erik H F M van der Heijden 36 , June C Carroll 1 , Aage Haugen 37 , Shanbeh Zienolddiny 37 , Vidar Skaug 37 , Victor Wünsch-Filho 38 , Eloiza H Tajara 39 , Raquel Ayoub Moysés 40 , Fabio Daumas Nunes 41 , Stephen Lam 42 , Jose Eluf-Neto 43 , Martin Lacko 44 , Wilbert H M Peters 45 , Loïc Le Marchand 46 , Eric J Duell 47 , Angeline S Andrew 48 , Silvia Franceschi 11 , Matthew B Schabath 49 , Jonas Manjer 50 , Susanne Arnold 51 , Philip Lazarus 52 , Anush Mukeriya 17 , Beata Swiatkowska 53 , Vladimir Janout 54 , Ivana Holcatova 55 , Jelena Stojsic 56 , Dana Mates 57 , Jolanta Lissowska 58 , Stefania Boccia 59, 60 , Corina Lesseur 11, 61 , Xuchen Zong 1 , James D McKay 11 , Paul Brennan 11 , Christopher I Amos 62 , Rayjean J Hung 1, 2
Affiliation  

BACKGROUND Evidence from observational studies of telomere length (TL) has been conflicting regarding its direction of association with cancer risk. We investigated the causal relevance of TL for lung and head and neck cancers using Mendelian Randomization (MR) and mediation analyses. METHODS We developed a novel genetic instrument for TL in chromosome 5p15.33, using variants identified through deep-sequencing, that were genotyped in 2051 cancer-free subjects. Next, we conducted an MR analysis of lung (16 396 cases, 13 013 controls) and head and neck cancer (4415 cases, 5013 controls) using eight genetic instruments for TL. Lastly, the 5p15.33 instrument and distinct 5p15.33 lung cancer risk loci were evaluated using two-sample mediation analysis, to quantify their direct and indirect, telomere-mediated, effects. RESULTS The multi-allelic 5p15.33 instrument explained 1.49-2.00% of TL variation in our data (p = 2.6 × 10-9). The MR analysis estimated that a 1000 base-pair increase in TL increases risk of lung cancer [odds ratio (OR) = 1.41, 95% confidence interval (CI): 1.20-1.65] and lung adenocarcinoma (OR = 1.92, 95% CI: 1.51-2.22), but not squamous lung carcinoma (OR = 1.04, 95% CI: 0.83-1.29) or head and neck cancers (OR = 0.90, 95% CI: 0.70-1.05). Mediation analysis of the 5p15.33 instrument indicated an absence of direct effects on lung cancer risk (OR = 1.00, 95% CI: 0.95-1.04). Analysis of distinct 5p15.33 susceptibility variants estimated that TL mediates up to 40% of the observed associations with lung cancer risk. CONCLUSIONS Our findings support a causal role for long telomeres in lung cancer aetiology, particularly for adenocarcinoma, and demonstrate that telomere maintenance partially mediates the lung cancer susceptibility conferred by 5p15.33 loci.

中文翻译:

孟德尔对白细胞端粒长度和肺癌及头颈癌风险的随机化和中介分析。

背景技术端粒长度(TL)的观察研究的证据就其与癌症风险相关的方向一直存在矛盾。我们使用孟德尔随机化(MR)和中介分析研究了TL与肺癌和头颈癌的因果相关性。方法我们开发了一种新的遗传仪器,用于5p15.33染色体上的TL,使用通过深度测序鉴定的变体在2051名无癌受试者中进行了基因分型。接下来,我们使用八种用于TL的遗传仪器对肺(16 396例,13013例对照)和头颈癌(4415例,5013例对照)进行了MR分析。最后,使用两个样本的调解分析评估了5p15.33仪器和独特的5p15.33肺癌风险基因座,以量化其直接和间接端粒介导的作用。结果多等位基因5p15。33台仪器在我们的数据中解释了TL变化的1.49-2.00%(p = 2.6×10-9)。MR分析估计,TL增加1000个碱基对会增加罹患肺癌的几率[比值比(OR)= 1.41,95%置信区间(CI):1.20-1.65]和肺癌(OR = 1.92,95%CI) :1.51-2.22),但不包括鳞状肺癌(OR = 1.04,95%CI:0.83-1.29)或头颈癌(OR = 0.90,95%CI:0.70-1.05)。5p15.33仪器的中介分析表明,对肺癌风险没有直接影响(OR = 1.00,95%CI:0.95-1.04)。对不同的5p15.33敏感性变量的分析估计,TL介导了高达40%的观察到的与肺癌风险的相关性。结论我们的发现支持长端粒在肺癌病因中,尤其是对于腺癌的因果作用,
更新日期:2019-07-26
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