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Mendelian randomization analysis of factors related to ovulation and reproductive function and endometrial cancer risk.
D'Urso, Shannon; Arumugam, Pooja; Weider, Therese; Hwang, Liang-Dar; Bond, Tom A; Kemp, John P; Warrington, Nicole M; Evans, David M; O'Mara, Tracy A; Moen, Gunn-Helen.
Afiliação
  • D'Urso S; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Arumugam P; School of Biomedical Sciences, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
  • Weider T; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
  • Hwang LD; Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway.
  • Bond TA; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
  • Kemp JP; MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.
  • Warrington NM; The University of Queensland Diamantina Institute, The University of Queensland, Brisbane, QLD, Australia.
  • Evans DM; Bristol Medical School, Population Health Science, University of Bristol, Bristol, UK.
  • O'Mara TA; Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
  • Moen GH; Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia.
BMC Med ; 20(1): 419, 2022 11 01.
Article em En | MEDLINE | ID: mdl-36320039
BACKGROUND: Observational epidemiological studies suggest a link between several factors related to ovulation and reproductive function and endometrial cancer (EC) risk; however, it is not clear whether these relationships are causal, and whether the risk factors act independently of each other. The aim of this study was to investigate putative causal relationships between the number of live births, age at last live birth, and years ovulating and EC risk.  METHODS: We conducted a series of observational analyses to investigate various risk factors and EC risk in the UK Biobank (UKBB). Additionally, multivariate analysis was performed to elucidate the relationship between the number of live births, age at last live birth, and years ovulating and other related factors such as age at natural menopause, age at menarche, and body mass index (BMI). Secondly, we used Mendelian randomization (MR) to assess if these observed relationships were causal. Genome-wide significant single nucleotide polymorphisms (SNPs) were extracted from previous studies of woman's number of live births, age at menopause and menarche, and BMI. We conducted a genome-wide association analysis using the UKBB to identify SNPs associated with years ovulating, years using the contraceptive pill, and age at last live birth. RESULTS: We found evidence for a causal effect of the number of live births (inverse variance weighted (IVW) odds ratio (OR): 0.537, p = 0.006), the number of years ovulating (IVW OR: 1.051, p = 0.014), in addition to the known risk factors BMI, age at menarche, and age at menopause on EC risk in the univariate MR analyses. Due to the close relationships between these factors, we followed up with multivariable MR (MVMR) analysis. Results from the MVMR analysis showed that number of live births had a causal effect on EC risk (OR: 0.783, p = 0.036) independent of BMI, age at menarche and age at menopause. CONCLUSIONS: MVMR analysis showed that the number of live births causally reduced the risk of EC.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Análise da Randomização Mendeliana Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias do Endométrio / Análise da Randomização Mendeliana Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Austrália