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@ARTICLE{Kar:142999,
      author       = {S. P. Kar and I. L. Andrulis and H. Brenner$^*$ and S.
                      Burgess and J. Chang-Claude$^*$ and D. Considine and T.
                      Dörk and D. G. R. Evans and M. Gago-Domínguez and G. G.
                      Giles and M. Hartman and D. Huo and R. Kaaks$^*$ and J. Li
                      and A. Lophatananon and S. Margolin and R. L. Milne and K.
                      R. Muir and H. Olsson and K. Punie and P. Radice and J.
                      Simard and R. M. Tamimi and E. Van Nieuwenhuysen and C.
                      Wendt and W. Zheng and P. D. P. Pharoah},
      title        = {{T}he association between weight at birth and breast cancer
                      risk revisited using {M}endelian randomisation.},
      journal      = {European journal of epidemiology},
      volume       = {34},
      number       = {6},
      issn         = {1573-7284},
      address      = {Dordrecht [u.a.]},
      publisher    = {Springer Science + Business Media B.V.},
      reportid     = {DKFZ-2019-00624},
      pages        = {591-600},
      year         = {2019},
      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.},
      cin          = {C070 / C120 / C020 / L101},
      ddc          = {610},
      cid          = {I:(DE-He78)C070-20160331 / I:(DE-He78)C120-20160331 /
                      I:(DE-He78)C020-20160331 / I:(DE-He78)L101-20160331},
      pnm          = {311 - Signalling pathways, cell and tumor biology
                      (POF3-311)},
      pid          = {G:(DE-HGF)POF3-311},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:30737679},
      doi          = {10.1007/s10654-019-00485-7},
      url          = {https://inrepo02.dkfz.de/record/142999},
}