PortalPublikationenThe association between weight at birth and breast cancer ri...

The association between weight at birth and breast cancer risk revisited using Mendelian randomisation

Standard

The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. / Kar, Siddhartha P; Andrulis, Irene L; Brenner, Hermann; Burgess, Stephen; Chang-Claude, Jenny; Considine, Daniel; Dörk, Thilo; Evans, Dafydd Gareth R; Gago-Domínguez, Manuela; Giles, Graham G; Hartman, Mikael; Huo, Dezheng; Kaaks, Rudolf; Li, Jingmei; Lophatananon, Artitaya; Margolin, Sara; Milne, Roger L; Muir, Kenneth R; Olsson, Håkan; Punie, Kevin; Radice, Paolo; Simard, Jacques; Tamimi, Rulla M; Van Nieuwenhuysen, Els; Wendt, Camilla; Zheng, Wei; Pharoah, Paul D P.

in: EUR J EPIDEMIOL, Jahrgang 34, Nr. 6, 06.2019, S. 591-600.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Kar, SP, Andrulis, IL, Brenner, H, Burgess, S, Chang-Claude, J, Considine, D, Dörk, T, Evans, DGR, Gago-Domínguez, M, Giles, GG, Hartman, M, Huo, D, Kaaks, R, Li, J, Lophatananon, A, Margolin, S, Milne, RL, Muir, KR, Olsson, H, Punie, K, Radice, P, Simard, J, Tamimi, RM, Van Nieuwenhuysen, E, Wendt, C, Zheng, W & Pharoah, PDP 2019, 'The association between weight at birth and breast cancer risk revisited using Mendelian randomisation', EUR J EPIDEMIOL, Jg. 34, Nr. 6, S. 591-600. https://doi.org/10.1007/s10654-019-00485-7

APA

Kar, S. P., Andrulis, I. L., Brenner, H., Burgess, S., Chang-Claude, J., Considine, D., Dörk, T., Evans, D. G. R., Gago-Domínguez, M., Giles, G. G., Hartman, M., Huo, D., Kaaks, R., Li, J., Lophatananon, A., Margolin, S., Milne, R. L., Muir, K. R., Olsson, H., ... Pharoah, P. D. P. (2019). The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. EUR J EPIDEMIOL, 34(6), 591-600. https://doi.org/10.1007/s10654-019-00485-7

Vancouver

Kar SP, Andrulis IL, Brenner H, Burgess S, Chang-Claude J, Considine D et al. The association between weight at birth and breast cancer risk revisited using Mendelian randomisation. EUR J EPIDEMIOL. 2019 Jun;34(6):591-600. https://doi.org/10.1007/s10654-019-00485-7

Bibtex

@article{b7d4416765b744b5a5406721d8fbc500,
title = "The association between weight at birth and breast cancer risk revisited using Mendelian randomisation",
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.",
keywords = "Birth Weight/genetics, Breast Neoplasms/epidemiology, Female, Humans, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide, Risk Assessment",
author = "Kar, {Siddhartha P} and Andrulis, {Irene L} and Hermann Brenner and Stephen Burgess and Jenny Chang-Claude and Daniel Considine and Thilo D{\"o}rk and Evans, {Dafydd Gareth R} and Manuela Gago-Dom{\'i}nguez and Giles, {Graham G} and Mikael Hartman and Dezheng Huo and Rudolf Kaaks and Jingmei Li and Artitaya Lophatananon and Sara Margolin and Milne, {Roger L} and Muir, {Kenneth R} and H{\aa}kan Olsson and Kevin Punie and Paolo Radice and Jacques Simard and Tamimi, {Rulla M} and {Van Nieuwenhuysen}, Els and Camilla Wendt and Wei Zheng and Pharoah, {Paul D P}",
year = "2019",
month = jun,
doi = "10.1007/s10654-019-00485-7",
language = "English",
volume = "34",
pages = "591--600",
journal = "EUR J EPIDEMIOL",
issn = "0393-2990",
publisher = "Springer",
number = "6",

}

RIS

TY - JOUR

T1 - The association between weight at birth and breast cancer risk revisited using Mendelian randomisation

AU - Kar, Siddhartha P

AU - Andrulis, Irene L

AU - Brenner, Hermann

AU - Burgess, Stephen

AU - Chang-Claude, Jenny

AU - Considine, Daniel

AU - Dörk, Thilo

AU - Evans, Dafydd Gareth R

AU - Gago-Domínguez, Manuela

AU - Giles, Graham G

AU - Hartman, Mikael

AU - Huo, Dezheng

AU - Kaaks, Rudolf

AU - Li, Jingmei

AU - Lophatananon, Artitaya

AU - Margolin, Sara

AU - Milne, Roger L

AU - Muir, Kenneth R

AU - Olsson, Håkan

AU - Punie, Kevin

AU - Radice, Paolo

AU - Simard, Jacques

AU - Tamimi, Rulla M

AU - Van Nieuwenhuysen, Els

AU - Wendt, Camilla

AU - Zheng, Wei

AU - Pharoah, Paul D P

PY - 2019/6

Y1 - 2019/6

N2 - 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.

AB - 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.

KW - Birth Weight/genetics

KW - Breast Neoplasms/epidemiology

KW - Female

KW - Humans

KW - Mendelian Randomization Analysis

KW - Polymorphism, Single Nucleotide

KW - Risk Assessment

U2 - 10.1007/s10654-019-00485-7

DO - 10.1007/s10654-019-00485-7

M3 - SCORING: Journal article

C2 - 30737679

VL - 34

SP - 591

EP - 600

JO - EUR J EPIDEMIOL

JF - EUR J EPIDEMIOL

SN - 0393-2990

IS - 6

ER -