Genetic modifiers of menopausal hormone replacement therapy and breast cancer risk: a genome–wide interaction study

Anja Rudolph(Inserm), Rebecca Hein(German Cancer Research Center), Sara Lindström(Harvard University Press), Lars Beckmann(German Cancer Research Center), Sabine Behrens(German Cancer Research Center), Jianjun Liu(Agency for Science, Technology and Research), Hugues Aschard(Harvard University), Manjeet K. Bolla(University of Cambridge), Jean Wang(University of Cambridge), Thérèse Truong(Inserm), Emilie Cordina‐Duverger(Université Paris-Sud), F. Ménégaux(Université Paris-Sud), Thomas Brüning(Ruhr University Bochum), Volker Harth(Universität Hamburg), _ _, Gianluca Severi(The University of Melbourne), Laura Baglietto(The University of Melbourne), Melissa C. Southey(The University of Melbourne), Stephen J Chanock(National Institutes of Health), Jolanta Lissowska(The Maria Sklodowska-Curie National Research Institute of Oncology), Jonine D. Figueroa(National Institutes of Health), Mikael Eriksson(Karolinska Institutet), Keith Humpreys(Karolinska Institutet), Hatef Darabi(Karolinska Institutet), Janet E. Olson(Mayo Clinic), Kristen N. Stevens(Mayo Clinic), Celine M. Vachon(Mayo Clinic), Julia A Knight(Mount Sinai Hospital), Gord Glendon(Mount Sinai Hospital), Anna Marie Mulligan(University Health Network), Alan Ashworth(Institute of Cancer Research), Nicholas Orr(Institute of Cancer Research), Minouk J. Schoemaker(Institute of Cancer Research), Penny M Webb(QIMR Berghofer Medical Research Institute), _ _, _ _, Pascal Guénel(Inserm), Hiltrud Brauch(Robert Bosch Hospital), Graham G. Giles(The University of Melbourne), Montserrat García‐Closas(National Cancer Institute), Kamila Czene(Karolinska Institutet), Georgia Chenevix‐Trench(QIMR Berghofer Medical Research Institute), Fergus J Couch(Mayo Clinic), Irene L Andrulis(Mount Sinai Hospital), Anthony J. Swerdlow(Institute of Cancer Research), D. J. Hunter(Harvard University), Dieter Flesch-Janys(Universität Hamburg), Douglas F. Easton(University of Cambridge), Per Hall(Karolinska Institutet), Heli Nevanlinna(University of Helsinki), Peter Kraft(Harvard University Press), Jenny Chang-Claude(German Cancer Research Center), _ _
Endocrine Related Cancer
September 30, 2013
Cited by 29Open Access
Full Text

Abstract

Women using menopausal hormone therapy (MHT) are at increased risk of developing breast cancer (BC). To detect genetic modifiers of the association between current use of MHT and BC risk, we conducted a meta-analysis of four genome-wide case-only studies followed by replication in 11 case-control studies. We used a case-only design to assess interactions between single-nucleotide polymorphisms (SNPs) and current MHT use on risk of overall and lobular BC. The discovery stage included 2920 cases (541 lobular) from four genome-wide association studies. The top 1391 SNPs showing P values for interaction (Pint) <3.0 × 10(-3) were selected for replication using pooled case-control data from 11 studies of the Breast Cancer Association Consortium, including 7689 cases (676 lobular) and 9266 controls. Fixed-effects meta-analysis was used to derive combined Pint. No SNP reached genome-wide significance in either the discovery or combined stage. We observed effect modification of current MHT use on overall BC risk by two SNPs on chr13 near POMP (combined Pint≤8.9 × 10(-6)), two SNPs in SLC25A21 (combined Pint≤4.8 × 10(-5)), and three SNPs in PLCG2 (combined Pint≤4.5 × 10(-5)). The association between lobular BC risk was potentially modified by one SNP in TMEFF2 (combined Pint≤2.7 × 10(-5)), one SNP in CD80 (combined Pint≤8.2 × 10(-6)), three SNPs on chr17 near TMEM132E (combined Pint≤2.2×10(-6)), and two SNPs on chr18 near SLC25A52 (combined Pint≤4.6 × 10(-5)). In conclusion, polymorphisms in genes related to solute transportation in mitochondria, transmembrane signaling, and immune cell activation are potentially modifying BC risk associated with current use of MHT. These findings warrant replication in independent studies.


Related Papers

No related papers found

Powered by citation graph analysis