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Verfasst von:Kar, Siddhartha P. [VerfasserIn]   i
 Brenner, Hermann [VerfasserIn]   i
 Chang-Claude, Jenny [VerfasserIn]   i
 Kaaks, Rudolf [VerfasserIn]   i
Titel:The association between weight at birth and breast cancer risk revisited using Mendelian randomisation
Verf.angabe:Siddhartha P. Kar, Irene L. Andrulis, Hermann Brenner, Stephen Burgess, Jenny Chang-Claude, Daniel Considine, Thilo Dörk, Dafydd Gareth R. Evans, Manuela Gago-Domínguez, Graham G. Giles, Mikael Hartman, Dezheng Huo, Rudolf Kaaks, Jingmei Li, Artitaya Lophatananon, Sara Margolin, Roger L. Milne, Kenneth R. Muir, Håkan Olsson, Kevin Punie, Paolo Radice, Jacques Simard, Rulla M. Tamimi, Els Van Nieuwenhuysen, Camilla Wendt, Wei Zheng, Paul D.P. Pharoah
E-Jahr:2019
Jahr:8 February 2019
Umfang:10 S.
Teil:volume:34
 year:2019
 number:6
 pages:591-600
 extent:10
Fussnoten:Gesehen am 03.06.2019
Titel Quelle:Enthalten in: European journal of epidemiology
Ort Quelle:[Cham] : Springer Nature Switzerland AG, 1985
Jahr Quelle:2019
Band/Heft Quelle:34(2019), 6, Seite 591-600
ISSN Quelle:1573-7284
Abstract: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.
DOI:doi:10.1007/s10654-019-00485-7
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext ; Verlag: https://doi.org/10.1007/s10654-019-00485-7
 Volltext: https://doi.org/10.1007/s10654-019-00485-7
 DOI: https://doi.org/10.1007/s10654-019-00485-7
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:Birth weight
 Breast cancer
 Mendelian randomisation
K10plus-PPN:1666605433
Verknüpfungen:→ Zeitschrift

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