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Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization

Title: Genetically Determined Reproductive Aging and Coronary Heart Disease: A Bidirectional 2-sample Mendelian Randomization
Authors: Dam, V; Onland-Moret, NC; Burgess, S; Chirlaque, M-D; Peters, SAE; Schuit, E; Tikk, K; Weiderpass, E; Oliver-Williams, C; Wood, AM; Tjonneland, A; Dahm, CC; Overvad, K; Boutron-Ruault, M-C; Schulze, MB; Trichopoulou, A; Ferrari, P; Masala, G; Krogh, V; Tumino, R; Matullo, G; Panico, S; Boer, JMA; Verschuren, WMM; Waaseth, M; Sanchez Perez, MJ; Amiano, P; Imaz, L; Moreno-Iribas, C; Melander, O; Harlid, S; Nordendahl, M; Wennberg, P; Key, TJ; Riboli, E; Santiuste, C; Kaaks, R; Katzke, V; Langenberg, C; Wareham, NJ; Schunkert, H; Erdmann, J; Willenborg, C; Hengstenberg, C; Kleber, ME; Delgado, G; Marz, W; Kanoni, S; Dedoussis, G; Deloukas, P; Nikpay, M; McPherson, R; Scholz, M; Teren, A; Butterworth, AS; van der Schouw, YT
Publisher Information: Oxford University Press
Publication Year: 2022
Collection: Queen Mary University of London: Queen Mary Research Online (QMRO)
Subject Terms: reproductive aging; Mendelian Randomization; coronary heart disease; risk factors
Description: Background Accelerated reproductive aging, in women indicated by early natural menopause, is associated with increased coronary heart disease (CHD) risk in observational studies. Conversely, an adverse CHD risk profile has been suggested to accelerate menopause. Objectives To study the direction and evidence for causality of the relationship between reproductive aging and (non-)fatal CHD and CHD risk factors in a bidirectional Mendelian randomization (MR) approach, using age at natural menopause (ANM) genetic variants as a measure for genetically determined reproductive aging in women. We also studied the association of these variants with CHD risk (factors) in men. Design Two-sample MR, using both cohort data as well as summary statistics, with 4 methods: simple and weighted median-based, standard inverse-variance weighted (IVW) regression, and MR-Egger regression. Participants Data from EPIC-CVD and summary statistics from UK Biobank and publicly available genome-wide association studies were pooled for the different analyses. Main Outcome Measures CHD, CHD risk factors, and ANM. Results Across different methods of MR, no association was found between genetically determined reproductive aging and CHD risk in women (relative risk estimateIVW = 0.99; 95% confidence interval (CI), 0.97-1.01), or any of the CHD risk factors. Similarly, no associations were found in men. Neither did the reversed analyses show evidence for an association between CHD (risk factors) and reproductive aging. Conclusion Genetically determined reproductive aging is not causally associated with CHD risk (factors) in women, nor were the genetic variants associated in men. We found no evidence for a reverse association in a combined sample of women and men.
Document Type: article in journal/newspaper
File Description: E2952 - E2961
Language: unknown
Relation: JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM; https://qmro.qmul.ac.uk/xmlui/handle/123456789/103580
DOI: 10.1210/clinem/dgac171
Availability: https://qmro.qmul.ac.uk/xmlui/handle/123456789/103580; https://doi.org/10.1210/clinem/dgac171
Rights: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com ; © The Author(s) 2022. Published by Oxford University Press on behalf of the Endocrine Society.
Accession Number: edsbas.A5FC8E79
Database: BASE