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

Veerle Dam, N Charlotte Onland-Moret, Stephen Burgess, Maria-Dolores Chirlaque, Sanne A E Peters, Ewoud Schuit, Kaja Tikk, Elisabete Weiderpass, Clare Oliver-Williams, Angela M Wood, Anne Tjønneland, Christina C Dahm, Kim Overvad, Marie-Christine Boutron-Ruault, Matthias B Schulze, Antonia Trichopoulou, Pietro Ferrari, Giovanna Masala, Vittorio Krogh, Rosario TuminoGiuseppe Matullo, Salvatore Panico, Jolanda M A Boer, W M Monique Verschuren, Marit Waaseth, Maria José Sánchez Pérez, Pilar Amiano, Liher Imaz, Conchi Moreno-Iribas, Olle Melander, Sophia Harlid, Maria Nordendahl, Patrik Wennberg, Timothy J Key, Elio Riboli, Carmen Santiuste, Rudolf Kaaks, Verena Katzke, Claudia Langenberg, Nicholas J Wareham, Heribert Schunkert, Jeanette Erdmann, Christina Willenborg, Christian Hengstenberg, Marcus E Kleber, Graciela Delgado, Winfried März, Stavroula Kanoni, George Dedoussis, Panos Deloukas, Majid Nikpay, Ruth McPherson, Markus Scholz, Andrej Teren, Adam S Butterworth, Yvonne T van der Schouw

Abstract

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 four 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 GWAS 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 Estimate (RRE)IVW=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.

OriginalspracheEnglisch
ZeitschriftThe Journal of clinical endocrinology and metabolism
Jahrgang107
Ausgabenummer7
Seiten (von - bis)E2952-E2961
ISSN0021-972X
DOIs
PublikationsstatusVeröffentlicht - 16.06.2022

Strategische Forschungsbereiche und Zentren

  • Querschnittsbereich: Medizinische Genetik

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