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Combined Associations of a Polygenic Risk Score and Classical Risk Factors With Breast Cancer Risk
Journal of the National Cancer Institute ( IF 10.3 ) Pub Date : 2020-05-02 , DOI: 10.1093/jnci/djaa056
Pooja Middha Kapoor 1, 2 , Nasim Mavaddat 3 , Parichoy Pal Choudhury 4 , Amber N Wilcox 4, 5 , Sara Lindström 6, 7 , Sabine Behrens 1 , Kyriaki Michailidou 3, 8 , Joe Dennis 3 , Manjeet K Bolla 3 , Qin Wang 3 , Audrey Jung 1 , Zomoroda Abu-Ful 9 , Thomas Ahearn 4 , Irene L Andrulis 10, 11 , Hoda Anton-Culver 12 , Volker Arndt 13 , Kristan J Aronson 14 , Paul L Auer 15, 16 , Laura E Beane Freeman 4 , Heiko Becher 17, 18 , Matthias W Beckmann 19 , Alicia Beeghly-Fadiel 20 , Javier Benitez 21, 22 , Leslie Bernstein 23 , Stig E Bojesen 24, 25, 26 , Hiltrud Brauch 24, 25, 26, 27, 28, 29 , Hermann Brenner 13, 29, 30 , Thomas Brüning 31 , Qiuyin Cai 20 , Daniele Campa 1, 32 , Federico Canzian 33 , Angel Carracedo 34, 35 , Brian D Carter 36 , Jose E Castelao 37 , Stephen J Chanock 4 , Nilanjan Chatterjee 4, 38, 39 , Georgia Chenevix-Trench 40 , Christine L Clarke 41 , Fergus J Couch 42 , Angela Cox 43 , Simon S Cross 44 , Kamila Czene 45 , James Y Dai 15 , H Shelton Earp 46 , Arif B Ekici 47 , A Heather Eliassen 48, 49 , Mikael Eriksson 45 , D Gareth Evans 50, 51 , Peter A Fasching 19, 52 , Jonine Figueroa 4, 53, 54 , Lin Fritschi 55 , Marike Gabrielson 45 , Manuela Gago-Dominguez 34, 56 , Chi Gao 49, 57 , Susan M Gapstur 36 , Mia M Gaudet 36 , Graham G Giles 24, 25, 26, 27, 28, 29, 58, 59, 60 , Anna González-Neira 22 , Pascal Guénel 61 , Lothar Haeberle 62 , Christopher A Haiman 63 , Niclas Håkansson 64 , Per Hall 45, 65 , Ute Hamann 66 , Sigrid Hatse 67 , Jane Heyworth 68 , Bernd Holleczek 69 , Robert N Hoover 4 , John L Hopper 59 , Anthony Howell 70 , David J Hunter 49, 57, 71 , , , Esther M John 72 , Michael E Jones 73 , Rudolf Kaaks 1 , Renske Keeman 74 , Cari M Kitahara 75 , Yon-Dschun Ko 76 , Stella Koutros 4 , Allison W Kurian 72 , Diether Lambrechts 77, 78 , Loic Le Marchand 79 , Eunjung Lee 63 , Flavio Lejbkowicz 9 , Martha Linet 75 , Jolanta Lissowska 80 , Ana Llaneza 81 , Robert J MacInnis 58, 59 , Maria Elena Martinez 56, 82 , Tabea Maurer 83 , Catriona McLean 84 , Susan L Neuhausen 23 , William G Newman 50, 51 , Aaron Norman 85 , Katie M O'Brien 86 , Andrew F Olshan 87 , Janet E Olson 85 , Håkan Olsson 88 , Nick Orr 89 , Charles M Perou 90 , Guillermo Pita 91 , Eric C Polley 85 , Ross L Prentice 15 , Gad Rennert 9 , Hedy S Rennert 9 , Kathryn J Ruddy 92 , Dale P Sandler 86 , Christobel Saunders 93 , Minouk J Schoemaker 73 , Ben Schöttker 13, 94 , Fredrick Schumacher 95 , Christopher Scott 85 , Rodney J Scott 24, 25, 26, 27, 28, 29, 58, 59, 60, 96, 97, 98 , Xiao-Ou Shu 20 , Ann Smeets 99 , Melissa C Southey 60, 100, 101 , John J Spinelli 102, 103 , Jennifer Stone 59, 104 , Anthony J Swerdlow 73, 105 , Rulla M Tamimi 48, 49, 57 , Jack A Taylor 86, 106 , Melissa A Troester 87 , Celine M Vachon 107 , Elke M van Veen 50, 51 , Xiaoliang Wang 6, 7 , Clarice R Weinberg 108 , Caroline Weltens 109 , Walter Willett 49, 110, 111 , Stacey J Winham 112 , Alicja Wolk 64, 113 , Xiaohong R Yang 4 , Wei Zheng 20 , Argyrios Ziogas 12 , Alison M Dunning 114 , Paul D P Pharoah 3, 114 , Marjanka K Schmidt 74, 115 , Peter Kraft 49, 57 , Douglas F Easton 3, 114 , Roger L Milne 24, 25, 26, 27, 28, 29, 58, 59, 60, 96, 97, 98 , Montserrat García-Closas 4 , Jenny Chang-Claude 1, 83
Affiliation  

We evaluated the joint associations between a new 313-variant PRS (PRS313) and questionnaire-based breast cancer risk factors for women of European ancestry, using 72 284 cases and 80 354 controls from the Breast Cancer Association Consortium. Interactions were evaluated using standard logistic regression and a newly developed case-only method for breast cancer risk overall and by estrogen receptor status. After accounting for multiple testing, we did not find evidence that per-standard deviation PRS313 odds ratio differed across strata defined by individual risk factors. Goodness-of-fit tests did not reject the assumption of a multiplicative model between PRS313 and each risk factor. Variation in projected absolute lifetime risk of breast cancer associated with classical risk factors was greater for women with higher genetic risk (PRS313 and family history) and, on average, 17.5% higher in the highest vs lowest deciles of genetic risk. These findings have implications for risk prevention for women at increased risk of breast cancer.

中文翻译:

多基因风险评分和经典风险因素与乳腺癌风险的联合关联

我们评估了新的 313 变体 PRS (PRS 313 ) 与欧洲血统女性基于问卷调查的乳腺癌风险因素之间的联合关联,使用来自乳腺癌协会联盟的 72 284 例病例和 80 354 例对照。使用标准逻辑回归和新开发的针对乳腺癌总体风险和雌激素受体状态的仅病例方法评估相互作用。在考虑了多次测试后,我们没有发现证据表明每个标准差的 PRS 313比值比在由个体风险因素定义的各层之间存在差异。拟合优度检验并未拒绝 PRS 313之间的乘法模型假设和每个风险因素。对于具有较高遗传风险(PRS 313和家族史)的女性,与经典风险因素相关的乳腺癌预计绝对终生风险的变化更大,平均而言,最高和最低遗传风险十分位数高 17.5%。这些发现对于乳腺癌风险增加的女性的风险预防具有重要意义。
更新日期:2020-05-02
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