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| 005 | 20240229112539.0 | ||
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| 100 | 1 | _ | |a Kar, Siddhartha P |0 0000-0002-2314-1426 |b 0 |
| 245 | _ | _ | |a The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. |
| 260 | _ | _ | |a Dordrecht [u.a.] |c 2019 |b Springer Science + Business Media B.V. |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a Observational studies suggest that higher birth weight (BW) is associated with increased risk of breast cancer in adult life. We conducted a two-sample Mendelian randomisation (MR) study to assess whether this association is causal. Sixty independent single nucleotide polymorphisms (SNPs) known to be associated at P < 5 × 10-8 with BW were used to construct (1) a 41-SNP instrumental variable (IV) for univariable MR after removing SNPs with pleiotropic associations with other breast cancer risk factors and (2) a 49-SNP IV for multivariable MR after filtering SNPs for data availability. BW predicted by the 41-SNP IV was not associated with overall breast cancer risk in inverse-variance weighted (IVW) univariable MR analysis of genetic association data from 122,977 breast cancer cases and 105,974 controls (odds ratio = 0.86 per 500 g higher BW; 95% confidence interval 0.73-1.01). Sensitivity analyses using four alternative methods and three alternative IVs, including an IV with 59 of the 60 BW-associated SNPs, yielded similar results. Multivariable MR adjusting for the effects of the 49-SNP IV on birth length, adult height, adult body mass index, age at menarche, and age at menopause using IVW and MR-Egger methods provided estimates consistent with univariable analyses. Results were also similar when all analyses were repeated after restricting to estrogen receptor-positive or -negative breast cancer cases. Point estimates of the odds ratios from most analyses performed indicated an inverse relationship between genetically-predicted BW and breast cancer, but we are unable to rule out an association between the non-genetically-determined component of BW and breast cancer. Thus, genetically-predicted higher BW was not associated with an increased risk of breast cancer in adult life in our MR study. |
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| 700 | 1 | _ | |a Andrulis, Irene L |b 1 |
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| 700 | 1 | _ | |a Burgess, Stephen |b 3 |
| 700 | 1 | _ | |a Chang-Claude, Jenny |0 P:(DE-He78)c259d6cc99edf5c7bc7ce22c7f87c253 |b 4 |u dkfz |
| 700 | 1 | _ | |a Considine, Daniel |b 5 |
| 700 | 1 | _ | |a Dörk, Thilo |b 6 |
| 700 | 1 | _ | |a Evans, Dafydd Gareth R |b 7 |
| 700 | 1 | _ | |a Gago-Domínguez, Manuela |b 8 |
| 700 | 1 | _ | |a Giles, Graham G |b 9 |
| 700 | 1 | _ | |a Hartman, Mikael |b 10 |
| 700 | 1 | _ | |a Huo, Dezheng |b 11 |
| 700 | 1 | _ | |a Kaaks, Rudolf |0 P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a |b 12 |u dkfz |
| 700 | 1 | _ | |a Li, Jingmei |b 13 |
| 700 | 1 | _ | |a Lophatananon, Artitaya |b 14 |
| 700 | 1 | _ | |a Margolin, Sara |b 15 |
| 700 | 1 | _ | |a Milne, Roger L |b 16 |
| 700 | 1 | _ | |a Muir, Kenneth R |b 17 |
| 700 | 1 | _ | |a Olsson, Håkan |b 18 |
| 700 | 1 | _ | |a Punie, Kevin |b 19 |
| 700 | 1 | _ | |a Radice, Paolo |b 20 |
| 700 | 1 | _ | |a Simard, Jacques |b 21 |
| 700 | 1 | _ | |a Tamimi, Rulla M |b 22 |
| 700 | 1 | _ | |a Van Nieuwenhuysen, Els |b 23 |
| 700 | 1 | _ | |a Wendt, Camilla |b 24 |
| 700 | 1 | _ | |a Zheng, Wei |b 25 |
| 700 | 1 | _ | |a Pharoah, Paul D P |b 26 |
| 773 | _ | _ | |a 10.1007/s10654-019-00485-7 |0 PERI:(DE-600)2004992-4 |n 6 |p 591-600 |t European journal of epidemiology |v 34 |y 2019 |x 1573-7284 |
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