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Physical activity, sedentary time and breast cancer risk: a Mendelian randomisation study
British Journal of Sports Medicine ( IF 18.4 ) Pub Date : 2022-10-01 , DOI: 10.1136/bjsports-2021-105132
Suzanne C Dixon-Suen 1 , Sarah J Lewis 2, 3 , Richard M Martin 2, 3, 4 , Dallas R English 1, 5 , Terry Boyle 6, 7 , Graham G Giles 1, 5, 8 , Kyriaki Michailidou 9, 10 , Manjeet K Bolla 11 , Qin Wang 11 , Joe Dennis 11 , Michael Lush 11 , Abctb Investigators 12 , Thomas U Ahearn 13 , Christine B Ambrosone 14 , Irene L Andrulis 15, 16 , Hoda Anton-Culver 17 , Volker Arndt 18 , Kristan J Aronson 19 , Annelie Augustinsson 20 , Päivi Auvinen 21, 22 , Laura E Beane Freeman 13 , Heiko Becher 23 , Matthias W Beckmann 24 , Sabine Behrens 25 , Marina Bermisheva 26 , Carl Blomqvist 27, 28 , Natalia V Bogdanova 29, 30 , Stig E Bojesen 31, 32 , Bernardo Bonanni 33 , Hermann Brenner 18, 34 , Thomas Brüning 35 , Saundra S Buys 36 , Nicola J Camp 36 , Daniele Campa 25, 37 , Federico Canzian 38 , Jose E Castelao 39 , Melissa H Cessna 40, 41 , Jenny Chang-Claude 25, 42 , Stephen J Chanock 13 , Christine L Clarke 43 , Don M Conroy 44 , Fergus J Couch 45 , Angela Cox 46 , Simon S Cross 47 , Kamila Czene 48 , Mary B Daly 49 , Peter Devilee 50, 51 , Thilo Dörk 30 , Miriam Dwek 52 , Diana M Eccles 53 , A Heather Eliassen 54, 55 , Christoph Engel 56, 57 , Mikael Eriksson 48 , D Gareth Evans 58, 59 , Peter A Fasching 24, 60 , Olivia Fletcher 61 , Henrik Flyger 62 , Lin Fritschi 63 , Marike Gabrielson 48 , Manuela Gago-Dominguez 64, 65 , Montserrat García-Closas 13 , José A García-Sáenz 66 , Mark S Goldberg 67, 68 , Pascal Guénel 69 , Melanie Gündert 70, 71 , Eric Hahnen 72, 73 , Christopher A Haiman 74 , Lothar Häberle 24 , Niclas Håkansson 75 , Per Hall 48, 76 , Ute Hamann 77 , Steven N Hart 78 , Michelle Harvie 79 , Peter Hillemanns 30 , Antoinette Hollestelle 80 , Maartje J Hooning 80 , Reiner Hoppe 81, 82 , John Hopper 5 , Anthony Howell 83 , David J Hunter 55, 84 , Anna Jakubowska 85, 86 , Wolfgang Janni 87 , Esther M John 88, 89 , Audrey Jung 25 , Rudolf Kaaks 25 , Renske Keeman 90 , Cari M Kitahara 91 , Stella Koutros 13 , Peter Kraft 55, 92 , Vessela N Kristensen 93, 94 , Katerina Kubelka-Sabit 95 , Allison W Kurian 88, 89 , James V Lacey 96, 97 , Diether Lambrechts 98, 99 , Loic Le Marchand 100 , Annika Lindblom 101, 102 , Sibylle Loibl 103 , Jan Lubiński 85 , Arto Mannermaa 104, 105 , Mehdi Manoochehri 77 , Sara Margolin 76, 106 , Maria Elena Martinez 65, 107 , Dimitrios Mavroudis 108 , Usha Menon 109 , Anna Marie Mulligan 110, 111 , Rachel A Murphy 112, 113 , Nbcs Collaborators 93, 94 , Heli Nevanlinna 114 , Ines Nevelsteen 115 , William G Newman 58, 59 , Kenneth Offit 116, 117 , Andrew F Olshan 118 , Håkan Olsson 20 , Nick Orr 119 , Alpa Patel 120 , Julian Peto 121 , Dijana Plaseska-Karanfilska 122 , Nadege Presneau 52 , Brigitte Rack 87 , Paolo Radice 123 , Erika Rees-Punia 120 , Gad Rennert 124 , Hedy S Rennert 124 , Atocha Romero 125 , Emmanouil Saloustros 126 , Dale P Sandler 127 , Marjanka K Schmidt 90, 128 , Rita K Schmutzler 72, 73 , Lukas Schwentner 87 , Christopher Scott 78 , Mitul Shah 44 , Xiao-Ou Shu 129 , Jacques Simard 130 , Melissa C Southey 1, 8 , Jennifer Stone 5, 131 , Harald Surowy 70, 71 , Anthony J Swerdlow 132, 133 , Rulla M Tamimi 55, 134 , William J Tapper 53 , Jack A Taylor 127, 135 , Mary Beth Terry 136 , Rob A E M Tollenaar 137 , Melissa A Troester 118 , Thérèse Truong 69 , Michael Untch 138 , Celine M Vachon 139 , Vijai Joseph 116 , Barbara Wappenschmidt 72, 73 , Clarice R Weinberg 140 , Alicja Wolk 75, 141 , Drakoulis Yannoukakos 142 , Wei Zheng 129 , Argyrios Ziogas 17 , Alison M Dunning 44 , Paul D P Pharoah 11, 44 , Douglas F Easton 11, 44 , Roger L Milne 1, 5, 8 , Brigid M Lynch 5, 143, 144 ,
Affiliation  

Objectives Physical inactivity and sedentary behaviour are associated with higher breast cancer risk in observational studies, but ascribing causality is difficult. Mendelian randomisation (MR) assesses causality by simulating randomised trial groups using genotype. We assessed whether lifelong physical activity or sedentary time, assessed using genotype, may be causally associated with breast cancer risk overall, pre/post-menopause, and by case-groups defined by tumour characteristics. Methods We performed two-sample inverse-variance-weighted MR using individual-level Breast Cancer Association Consortium case-control data from 130 957 European-ancestry women (69 838 invasive cases), and published UK Biobank data (n=91 105–377 234). Genetic instruments were single nucleotide polymorphisms (SNPs) associated in UK Biobank with wrist-worn accelerometer-measured overall physical activity (nsnps=5) or sedentary time (nsnps=6), or accelerometer-measured (nsnps=1) or self-reported (nsnps=5) vigorous physical activity. Results Greater genetically-predicted overall activity was associated with lower breast cancer overall risk (OR=0.59; 95% confidence interval (CI) 0.42 to 0.83 per-standard deviation (SD;~8 milligravities acceleration)) and for most case-groups. Genetically-predicted vigorous activity was associated with lower risk of pre/perimenopausal breast cancer (OR=0.62; 95% CI 0.45 to 0.87,≥3 vs. 0 self-reported days/week), with consistent estimates for most case-groups. Greater genetically-predicted sedentary time was associated with higher hormone-receptor-negative tumour risk (OR=1.77; 95% CI 1.07 to 2.92 per-SD (~7% time spent sedentary)), with elevated estimates for most case-groups. Results were robust to sensitivity analyses examining pleiotropy (including weighted-median-MR, MR-Egger). Conclusion Our study provides strong evidence that greater overall physical activity, greater vigorous activity, and lower sedentary time are likely to reduce breast cancer risk. More widespread adoption of active lifestyles may reduce the burden from the most common cancer in women. Data are available upon reasonable request. The data used in this study are de-identified patient data from 76 studies participating in the Breast Cancer Association Consortium (BCAC). Enquiries about accessing BCAC data can be directed to the BCAC coordinators at the University of Cambridge:

中文翻译:

体力活动、久坐时间和乳腺癌风险:孟德尔随机研究

目的 在观察性研究中,缺乏身体活动和久坐行为与较高的乳腺癌风险相关,但很难确定因果关系。孟德尔随机化 (MR) 通过使用基因型模拟随机试验组来评估因果关系。我们评估了使用基因型评估的终生体力活动或久坐时间是否可能与绝经前/绝经后的总体乳腺癌风险存在因果关系,并按肿瘤特征定义的病例组进行了评估。方法 我们使用来自 130 957 名欧洲血统女性(69 838 例侵入性病例)的个体水平乳腺癌协会联盟病例对照数据进行了两样本逆方差加权 MR,并发表了英国生物库数据(n=91 105-377) 234)。遗传仪器是英国生物银行中与腕戴式加速度计测量的整体身体活动 (nsnps=5) 或久坐时间 (nsnps=6) 或加速度计测量 (nsnps=1) 或自我报告相关的单核苷酸多态性 (SNP) (nsnps=5) 剧烈的体力活动。结果对于大多数病例组而言,较高的基因预测总体活动与较低的乳腺癌总体风险相关(OR = 0.59;95% 置信区间 (CI) 每个标准差为 0.42 至 0.83(SD;~8 毫重力加速度))。基因预测的剧烈活动与绝经前/围绝经期乳腺癌风险较低相关(OR = 0.62;95% CI 0.45 至 0.87,自我报告的每周≥3 天 vs. 0 天),与大多数病例组的估计一致。遗传预测的久坐时间越长,激素受体阴性肿瘤风险越高(OR = 1.77;95% CI 1.07 至 2.92 per-SD(约 7% 久坐时间)),大多数病例组的估计值较高。结果对于检查多效性(包括加权中值 MR、MR-Egger)的敏感性分析是稳健的。结论 我们的研究提供了强有力的证据,表明更多的整体体力活动、更大的剧烈活动和更少的久坐时间可能会降低乳腺癌风险。更广泛地采用积极的生活方式可能会减轻女性最常见癌症的负担。数据可根据合理要求提供。本研究中使用的数据是来自参与乳腺癌协会联盟 (BCAC) 的 76 项研究的去识别化患者数据。
更新日期:2022-09-29
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