Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent

English version České info

Using Mendelian randomization analysis, Wei Zheng and colleagues probe potentially causal associations between BMI and breast cancer risk in both pre- and postmenopausal women.

Vyšlo v časopise: Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent. PLoS Med 13(8): e32767. doi:10.1371/journal.pmed.1002105
Kategorie: Research Article
prolekare.web.journal.doi_sk: https://doi.org/10.1371/journal.pmed.1002105

Souhrn

Using Mendelian randomization analysis, Wei Zheng and colleagues probe potentially causal associations between BMI and breast cancer risk in both pre- and postmenopausal women.

Zdroje

1. Renehan AG, Tyson M, Egger M, Heller RF, Zwahlen M. Body-mass index and incidence of cancer: a systematic review and meta-analysis of prospective observational studies. Lancet. 2008;371(9612):569–78. doi: 10.1016/S0140-6736(08)60269-X 18280327.

2. Huang Z, Hankinson SE, Colditz GA, Stampfer MJ, Hunter DJ, Manson JE, et al. Dual effects of weight and weight gain on breast cancer risk. JAMA. 1997;278(17):1407–11. Epub 1997/11/14. 9355998.

3. van den Brandt PA, Spiegelman D, Yaun SS, Adami HO, Beeson L, Folsom AR, et al. Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol. 2000;152(6):514–27. Epub 2000/09/21. 10997541.

4. Vatten LJ, Kvinnsland S. Prospective study of height, body mass index and risk of breast cancer. Acta Oncol. 1992;31(2):195–200. Epub 1992/01/01. 1622634.

5. Ursin G, Longnecker MP, Haile RW, Greenland S. A meta-analysis of body mass index and risk of premenopausal breast cancer. Epidemiology. 1995;6(2):137–41. Epub 1995/03/01. 7742399.

6. Michels KB, Terry KL, Willett WC. Longitudinal study on the role of body size in premenopausal breast cancer. Arch Intern Med. 2006;166(21):2395–402. Epub 2006/11/30. 166/21/2395 [pii] doi: 10.1001/archinte.166.21.2395 17130395.

7. Dowsett M, Folkerd E. Reduced progesterone levels explain the reduced risk of breast cancer in obese premenopausal women: a new hypothesis. Breast Cancer Res Treat. 2015;149(1):1–4. Epub 2014/11/22. doi: 10.1007/s10549-014-3211-4 25414027.

8. Bhaskaran K, Douglas I, Forbes H, dos-Santos-Silva I, Leon DA, Smeeth L. Body-mass index and risk of 22 specific cancers: a population-based cohort study of 5.24 million UK adults. Lancet. 2014;384(9945):755–65. doi: 10.1016/S0140-6736(14)60892-8 25129328; PubMed Central PMCID: PMC4151483.

9. Morimoto LM, White E, Chen Z, Chlebowski RT, Hays J, Kuller L, et al. Obesity, body size, and risk of postmenopausal breast cancer: the Women's Health Initiative (United States). Cancer Causes Control. 2002;13(8):741–51. Epub 2002/11/08. 12420953.

10. Munsell MF, Sprague BL, Berry DA, Chisholm G, Trentham-Dietz A. Body mass index and breast cancer risk according to postmenopausal estrogen-progestin use and hormone receptor status. Epidemiol Rev. 2014;36(1):114–36. Epub 2014/01/01. doi: 10.1093/epirev/mxt010 [pii]. 24375928; PubMed Central PMCID: PMC3873844.

11. Potischman N, Swanson CA, Siiteri P, Hoover RN. Reversal of relation between body mass and endogenous estrogen concentrations with menopausal status. J Natl Cancer Inst. 1996;88(11):756–8. Epub 1996/06/05. 8637031.

12. Rich-Edwards JW, Goldman MB, Willett WC, Hunter DJ, Stampfer MJ, Colditz GA, et al. Adolescent body mass index and infertility caused by ovulatory disorder. Am J Obstet Gynecol. 1994;171(1):171–7. Epub 1994/07/01. 0002-9378(94)90465-0 [pii]. 8030695.

13. Michailidou K, Hall P, Gonzalez-Neira A, Ghoussaini M, Dennis J, Milne RL, et al. Large-scale genotyping identifies 41 new loci associated with breast cancer risk. Nat Genet. 2013;45(4):353–61, 61e1–2. Epub 2013/03/29. doi: 10.1038/ng.2563 [pii]. 23535729; PubMed Central PMCID: PMC3771688.

14. Howie B, Fuchsberger C, Stephens M, Marchini J, Abecasis GR. Fast and accurate genotype imputation in genome-wide association studies through pre-phasing. Nat Genet. 2012;44(8):955–9. Epub 2012/07/24. doi: 10.1038/ng.2354 [pii]. 22820512; PubMed Central PMCID: PMC3696580.

15. Liu EY, Li M, Wang W, Li Y. MaCH-admix: genotype imputation for admixed populations. Genet Epidemiol. 2013;37(1):25–37. Epub 2012/10/18. doi: 10.1002/gepi.21690 23074066; PubMed Central PMCID: PMC3524415.

16. Hindorff LA, Sethupathy P, Junkins HA, Ramos EM, Mehta JP, Collins FS, et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. P Natl Acad Sci USA. 2009;106(23):9362–7. doi: 10.1073/pnas.0903103106 ISI:000266817500047.

17. Locke AE, Kahali B, Berndt SI, Justice AE, Pers TH, Day FR, et al. Genetic studies of body mass index yield new insights for obesity biology. Nature. 2015;518(7538):197–206. Epub 2015/02/13. doi: 10.1038/nature14177 [pii]. 25673413; PubMed Central PMCID: PMC4382211.

18. Ripatti S, Tikkanen E, Orho-Melander M, Havulinna AS, Silander K, Sharma A, et al. A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses. Lancet. 2010;376(9750):1393–400. Epub 2010/10/26. doi: 10.1016/S0140-6736(10)61267-6 [pii]. 20971364; PubMed Central PMCID: PMC2965351.

19. Harrison SC, Holmes MV, Humphries SE. Mendelian randomisation, lipids, and cardiovascular disease. Lancet. 2012;380(9841):543–5. Epub 2012/05/23. doi: 10.1016/S0140-6736(12)60481-4 [pii]. 22607824.

20. Do R, Willer CJ, Schmidt EM, Sengupta S, Gao C, Peloso GM, et al. Common variants associated with plasma triglycerides and risk for coronary artery disease. Nat Genet. 2013;45(11):1345–52. Epub 2013/10/08. doi: 10.1038/ng.2795 [pii]. 24097064; PubMed Central PMCID: PMC3904346.

21. Frank J, Lang M, Witt SH, Strohmaier J, Rujescu D, Cichon S, et al. Identification of increased genetic risk scores for schizophrenia in treatment-resistant patients. Mol Psychiatry. 2014. Epub 2014/06/04. doi: 10.1038/mp.2014.56 [pii]. 24888364.

22. Zhang Y, Rosenberg L, Colton T, Cupples LA, Palmer JR, Strom BL, et al. Adult height and risk of breast cancer among white women in a case-control study. American journal of epidemiology. 1996;143(11):1123–8. 8633601.

23. Bowden J, Smith GD, Burgess S. Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression. Int J Epidemiol. 2015;44(2):512–25. doi: 10.1093/ije/dyv080 WOS:000357106100015. 26050253

24. Inoue A, Solon G. Two-Sample Instrumental Variables Estimators. Rev Econ Stat. 2010;92(3):557–61. doi: 10.1162/Rest_a_00011 ISI:000279729000009.

25. Palmer TM, Sterne JA, Harbord RM, Lawlor DA, Sheehan NA, Meng S, et al. Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses. Am J Epidemiol. 2011;173(12):1392–403. Epub 2011/05/11. doi: 10.1093/aje/kwr026 [pii]. 21555716.

26. Thomas DC, Lawlor DA, Thompson JR. Re: Estimation of bias in nongenetic observational studies using "Mendelian triangulation" by Bautista et al. Ann Epidemiol. 2007;17(7):511–3. Epub 2007/05/01. S1047-2797(07)00055-5 [pii] doi: 10.1016/j.annepidem.2006.12.005 17466535.

27. Burgess S, Butterworth A, Thompson SG. Mendelian randomization analysis with multiple genetic variants using summarized data. Genet Epidemiol. 2013;37(7):658–65. Epub 2013/10/12. doi: 10.1002/gepi.21758 24114802.

28. Hartung J, Knapp G, Sinha BK. Statistical meta-analysis with applications. Hoboken, N.J.: Wiley; 2008. xv, 247 p. p.

29. Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004;4(8):579–91. Epub 2004/08/03. doi: 10.1038/nrc1408 [pii]. 15286738.

30. Rukh G, Ahmad S, Ericson U, Hindy G, Stocks T, Renstrom F, et al. Inverse relationship between a genetic risk score of 31 BMI loci and weight change before and after reaching middle age. Int J Obesity. 2016;40(2):252–9. doi: 10.1038/ijo.2015.180 WOS:000369691500010.

31. Baer HJ, Tworoger SS, Hankinson SE, Willett WC. Body fatness at young ages and risk of breast cancer throughout life. Am J Epidemiol. 2010;171(11):1183–94. Epub 2010/05/13. [pii]. 20460303; PubMed Central PMCID: PMC2915489.

32. Willett WC, Browne ML, Bain C, Lipnick RJ, Stampfer MJ, Rosner B, et al. Relative weight and risk of breast cancer among premenopausal women. Am J Epidemiol. 1985;122(5):731–40. Epub 1985/11/01. 4050766.

33. Bardia A, Vachon CM, Olson JE, Vierkant RA, Wang AH, Hartmann LC, et al. Relative weight at age 12 and risk of postmenopausal breast cancer. Cancer Epidemiol Biomarkers Prev. 2008;17(2):374–8. Epub 2008/02/06. doi: 10.1158/1055-9965.EPI-07-0389 [pii]. 18250344; PubMed Central PMCID: PMC2575770.

34. Tworoger SS, Missmer SA, Barbieri RL, Willett WC, Colditz GA, Hankinson SE. Plasma sex hormone concentrations and subsequent risk of breast cancer among women using postmenopausal hormones. J Natl Cancer Inst. 2005;97(8):595–602. Epub 2005/04/21. 97/8/595 [pii] doi: 10.1093/jnci/dji099 15840882.

35. Carr MC. The emergence of the metabolic syndrome with menopause. J Clin Endocrinol Metab. 2003;88(6):2404–11. Epub 2003/06/06. doi: 10.1210/jc.2003-030242 12788835.

36. Ballard-Barbash R. Anthropometry and breast cancer. Body size—a moving target. Cancer. 1994;74(3 Suppl):1090–100. Epub 1994/08/01. 8039144.

37. Willett WC. Diet and breast cancer. J Intern Med. 2001;249(5):395–411. Epub 2001/05/15. jim822 [pii]. 11350564.

38. Kaplowitz PB. Link between body fat and the timing of puberty. Pediatrics. 2008;121:S208–S17. doi: 10.1542/peds.2007-1813F WOS:000253792600004. 18245513

39. Klesges RC, Meyers AW, Klesges LM, Lavasque ME. Smoking, Body-Weight, and Their Effects on Smoking-Behavior—a Comprehensive Review of the Literature. Psychol Bull. 1989;106(2):204–30. doi: 10.1037//0033-2909.106.2.204 WOS:A1989AN31400003. 2678202

40. Chiolero A, Faeh D, Paccaud F, Cornuz J. Consequences of smoking for body weight, body fat distribution, and insulin resistance. Am J Clin Nutr. 2008;87(4):801–9. WOS:000255012000003. 18400700

41. KritzSilverstein D, BarrettConnor E. Long-term postmenopausal hormone use, obesity, and fat distribution in older women. Jama-J Am Med Assoc. 1996;275(1):46–9. WOS:A1996TM23800021.

42. Lahmann PH, Hoffmann K, Allen N, van Gils CH, Khaw KT, Tehard B, et al. Body size and breast cancer risk: findings from the European Prospective Investigation into Cancer And Nutrition (EPIC). Int J Cancer. 2004;111(5):762–71. Epub 2004/07/15. doi: 10.1002/ijc.20315 15252848.

43. Chen WY, Colditz GA. Risk factors and hormone-receptor status: epidemiology, risk-prediction models and treatment implications for breast cancer. Nat Clin Pract Oncol. 2007;4(7):415–23. doi: 10.1038/ncponc0851 WOS:000247588400011. 17597706

44. Speliotes EK, Willer CJ, Berndt SI, Monda KL, Thorleifsson G, Jackson AU, et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index. Nat Genet. 2010;42(11):937–48. Epub 2010/10/12. doi: 10.1038/ng.686 [pii]. 20935630; PubMed Central PMCID: PMC3014648.

45. Berndt SI, Gustafsson S, Magi R, Ganna A, Wheeler E, Feitosa MF, et al. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nat Genet. 2013;45(5):501–12. Epub 2013/04/09. doi: 10.1038/ng.2606 [pii]. 23563607; PubMed Central PMCID: PMC3973018.

46. Smith GD. Mendelian randomization for strengthening causal inference in observational studies: Application to gene X environment interactions (vol 5, pg 527, 2010). Perspect Psychol Sci. 2011;6(3):314-. ISI:000290736400011.