Cancer Causes & Control

, Volume 21, Issue 5, pp 689–696

Birth weight, breast cancer susceptibility loci, and breast cancer risk

  • Rulla M. Tamimi
  • Pagona Lagiou
  • Kamila Czene
  • Jianjun Liu
  • Anders Ekbom
  • Chung-Cheng Hsieh
  • Hans-Olov Adami
  • Dimitrios Trichopoulos
  • Per Hall
Original paper

DOI: 10.1007/s10552-009-9496-7

Cite this article as:
Tamimi, R.M., Lagiou, P., Czene, K. et al. Cancer Causes Control (2010) 21: 689. doi:10.1007/s10552-009-9496-7

Abstract

Background

There is considerable evidence that birth weight is positively associated with breast cancer risk, and seven single-nucleotide polymorphisms (SNPs) have been conclusively associated with this risk. We have hypothesized that breast cancer susceptibility loci may have a greater influence on breast cancer risk among women with higher birth weight, who are expected to have a larger pool of mammary stem cells that are susceptible to malignant transformation.

Patients and methods

In the context of a nationwide, population-based case–control study in Sweden, we retrieved recorded birth weight for 693 breast cancer cases and 747 control women who were also genotyped for most or all of the seven recently documented breast cancer susceptibility SNPs: rs2981582, rs12443621, rs8051542, rs3803662, rs889312, rs13281615, and rs3817198.

Results

We grouped heterozygotes with homozygotes for the wild-type allele, and we found a marginally significant interaction (p~0.07) between birth weight and rs2981582 (FGFR2), the genotype repeatedly identified as the top hit in genome-wide association studies. There were similar, though not significant, patterns for the other six SNPs.

Conclusions

Although our findings require confirmation, we found suggestive evidence that genetic susceptibility modifies the positive association of birth weight with breast cancer.

Keywords

AlleleBirth weightBreast cancerGeneGenotypePolymorphism

Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Rulla M. Tamimi
    • 1
    • 2
  • Pagona Lagiou
    • 1
    • 3
  • Kamila Czene
    • 4
  • Jianjun Liu
    • 5
  • Anders Ekbom
    • 6
  • Chung-Cheng Hsieh
    • 1
    • 7
  • Hans-Olov Adami
    • 1
    • 4
  • Dimitrios Trichopoulos
    • 1
    • 4
  • Per Hall
    • 4
  1. 1.Department of EpidemiologyHarvard School of Public HealthBostonUSA
  2. 2.Channing LaboratoryHarvard Medical SchoolBostonUSA
  3. 3.Department of Hygiene, Epidemiology and Medical Statistics, School of MedicineUniversity of AthensAthensGreece
  4. 4.Department of Medical Epidemiology and BiostatisticsKarolinska InstitutetStockholmSweden
  5. 5.Population GeneticsGenome Institute of SingaporeSingaporeSingapore
  6. 6.Clinical Epidemiology Unit, Department of MedicineKarolinska Institutet/Karolinska University HospitalStockholmSweden
  7. 7.Division of Biostatistics and Epidemiology, UMass Cancer CenterUniversity of Massachusetts Medical SchoolWorcesterUSA