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Disentangling the relationships of body mass index and circulating sex hormone concentrations in mammographic density using Mendelian randomization.
Haas, Cameron B; Chen, Hongjie; Harrison, Tabitha; Fan, Shaoqi; Gago-Dominguez, Manuela; Castelao, Jose E; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Michailidou, Kyriaki; Dunning, Alison M; Easton, Douglas F; Antoniou, Antonis C; Hall, Per; Czene, Kamila; Andrulis, Irene L; Mulligan, Anna Marie; Milne, Roger L; Fasching, Peter A; Haeberle, Lothar; Garcia-Closas, Montserrat; Ahearn, Thomas; Gierach, Gretchen L; Haiman, Christopher; Maskarinec, Gertraud; Couch, Fergus J; Olson, Janet E; John, Esther M; Chenevix-Trench, Geogia; Berrington de Gonzalez, Amy; Jones, Michael; Stone, Jennifer; Murphy, Rachel; Aronson, Kristan J; Wernli, Karen J; Hsu, Li; Vachon, Celine; Tamimi, Rulla M; Lindström, Sara.
Afiliación
  • Haas CB; Department of Epidemiology, University of Washington, Seattle, WA, USA. Cameron.b.haas@gmail.com.
  • Chen H; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA. Cameron.b.haas@gmail.com.
  • Harrison T; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Fan S; Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Gago-Dominguez M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Castelao JE; Health Research Institute of Santiago de Compostela Foundation (FIDIS), SERGAS, Cancer Genetics and Epidemiology Group, Santiago, Spain.
  • Bolla MK; Unidad de Oncología Genética, Instituto de Investigación Sanitaria, Galicia Sur, Vigo, Spain.
  • Wang Q; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Dennis J; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Michailidou K; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Dunning AM; Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Nicosia, Cyprus.
  • Easton DF; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Antoniou AC; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Hall P; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
  • Czene K; Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
  • Andrulis IL; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Mulligan AM; Department of Oncology, Södersjukhuset, Stockholm, Sweden.
  • Milne RL; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
  • Fasching PA; Fred A. Litwin Center for Cancer Genetics, Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital, Toronto, ON, Canada.
  • Haeberle L; Department of Molecular Genetics, University of Toronto, Toronto, Canada.
  • Garcia-Closas M; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Canada.
  • Ahearn T; Laboratory Medicine Program, University Health Network, Toronto, Canada.
  • Gierach GL; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Haiman C; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
  • Maskarinec G; Prevision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia.
  • Couch FJ; Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
  • Olson JE; Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg, Erlangen, Germany.
  • John EM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Chenevix-Trench G; Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
  • Berrington de Gonzalez A; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Jones M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Stone J; Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
  • Murphy R; Population Sciences in the Pacific Program, University of Hawai'i Cancer Center, Honolulu, HI, USA.
  • Aronson KJ; Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA.
  • Wernli KJ; Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
  • Hsu L; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Vachon C; Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
  • Tamimi RM; Cancer Research Program, QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
  • Lindström S; Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK.
Breast Cancer Res Treat ; 206(2): 295-305, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38653906
ABSTRACT

PURPOSE:

Mammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR).

METHODS:

We applied two-sample MR approaches to assess the association between genetically predicted circulating concentrations of sex hormones [estradiol, testosterone, sex hormone-binding globulin (SHBG)], BMI, and mammographic density phenotypes (dense and non-dense area). We created instrumental variables from large European ancestry-based genome-wide association studies and applied estimates to mammographic density phenotypes in up to 14,000 women of European ancestry. We performed analyses overall and by menopausal status.

RESULTS:

Genetically predicted BMI was positively associated with non-dense area (IVW ß = 1.79; 95% CI = 1.58, 2.00; p = 9.57 × 10-63) and inversely associated with dense area (IVW ß = - 0.37; 95% CI = - 0.51,- 0.23; p = 4.7 × 10-7). We observed weak evidence for an association of circulating sex hormone concentrations with mammographic density phenotypes, specifically inverse associations between genetically predicted testosterone concentration and dense area (ß = - 0.22; 95% CI = - 0.38, - 0.053; p = 0.009) and between genetically predicted estradiol concentration and non-dense area (ß = - 3.32; 95% CI = - 5.83, - 0.82; p = 0.009), although results were not consistent across a range of MR approaches.

CONCLUSION:

Our findings support a positive causal association between BMI and mammographic non-dense area and an inverse association between BMI and dense area. Evidence was weaker and inconsistent for a causal effect of circulating sex hormone concentrations on mammographic density phenotypes. Based on our findings, associations between circulating sex hormone concentrations and mammographic density phenotypes are weak at best.
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Texto completo: 1 Colección: 01-internacional Asunto principal: Hormonas Esteroides Gonadales / Neoplasias de la Mama / Índice de Masa Corporal / Estudio de Asociación del Genoma Completo / Análisis de la Aleatorización Mendeliana / Densidad de la Mama Límite: Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Asunto principal: Hormonas Esteroides Gonadales / Neoplasias de la Mama / Índice de Masa Corporal / Estudio de Asociación del Genoma Completo / Análisis de la Aleatorización Mendeliana / Densidad de la Mama Límite: Female / Humans / Middle aged Idioma: En Revista: Breast Cancer Res Treat Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos