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000179162 0247_ $$2ISSN$$a0368-1610
000179162 0247_ $$2ISSN$$a1945-7197
000179162 0247_ $$2ISSN$$a2578-7241
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000179162 041__ $$aEnglish
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000179162 1001_ $$00000-0002-5982-232X$$aDam, Veerle$$b0
000179162 245__ $$aGenetically determined reproductive aging and coronary heart disease: a bidirectional two-sample Mendelian Randomization.
000179162 260__ $$aOxford$$bOxford University Press$$c2022
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000179162 500__ $$a2022 Jun 16;107(7):e2952-e2961
000179162 520__ $$aAccelerated 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.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.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.Data from EPIC-CVD and summary statistics from UK Biobank and publicly available GWAS were pooled for the different analyses.CHD, CHD risk factors and ANM.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.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.
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000179162 650_7 $$2Other$$aMendelian Randomization
000179162 650_7 $$2Other$$aReproductive aging
000179162 650_7 $$2Other$$acoronary heart disease
000179162 650_7 $$2Other$$arisk factors
000179162 7001_ $$aOnland-Moret, N Charlotte$$b1
000179162 7001_ $$00000-0001-5365-8760$$aBurgess, Stephen$$b2
000179162 7001_ $$00000-0001-9242-3040$$aChirlaque, Maria-Dolores$$b3
000179162 7001_ $$aPeters, Sanne A E$$b4
000179162 7001_ $$00000-0002-9548-3214$$aSchuit, Ewoud$$b5
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000179162 7001_ $$00000-0003-2237-0128$$aWeiderpass, Elisabete$$b7
000179162 7001_ $$aOliver-Williams, Clare$$b8
000179162 7001_ $$aWood, Angela M$$b9
000179162 7001_ $$aTjønneland, Anne$$b10
000179162 7001_ $$aDahm, Christina C$$b11
000179162 7001_ $$00000-0001-6429-7921$$aOvervad, Kim$$b12
000179162 7001_ $$00000-0002-5956-5693$$aBoutron-Ruault, Marie-Christine$$b13
000179162 7001_ $$aSchulze, Matthias B$$b14
000179162 7001_ $$00000-0002-7204-6396$$aTrichopoulou, Antonia$$b15
000179162 7001_ $$00000-0001-9358-7338$$aFerrari, Pietro$$b16
000179162 7001_ $$00000-0002-5758-9069$$aMasala, Giovanna$$b17
000179162 7001_ $$00000-0003-0122-8624$$aKrogh, Vittorio$$b18
000179162 7001_ $$aTumino, Rosario$$b19
000179162 7001_ $$aMatullo, Giuseppe$$b20
000179162 7001_ $$00000-0002-5498-8312$$aPanico, Salvatore$$b21
000179162 7001_ $$aBoer, Jolanda M A$$b22
000179162 7001_ $$aVerschuren, W M Monique$$b23
000179162 7001_ $$aWaaseth, Marit$$b24
000179162 7001_ $$aSánchez Pérez, Maria José$$b25
000179162 7001_ $$aAmiano, Pilar$$b26
000179162 7001_ $$aImaz, Liher$$b27
000179162 7001_ $$aMoreno-Iribas, Conchi$$b28
000179162 7001_ $$aMelander, Olle$$b29
000179162 7001_ $$00000-0001-8540-6891$$aHarlid, Sophia$$b30
000179162 7001_ $$aNordendahl, Maria$$b31
000179162 7001_ $$aWennberg, Patrik$$b32
000179162 7001_ $$aKey, Timothy J$$b33
000179162 7001_ $$00000-0001-6795-6080$$aRiboli, Elio$$b34
000179162 7001_ $$aSantiuste, Carmen$$b35
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000179162 7001_ $$aLangenberg, Claudia$$b38
000179162 7001_ $$aWareham, Nicholas J$$b39
000179162 7001_ $$00000-0001-6428-3001$$aSchunkert, Heribert$$b40
000179162 7001_ $$aErdmann, Jeanette$$b41
000179162 7001_ $$aWillenborg, Christina$$b42
000179162 7001_ $$00000-0002-8284-2994$$aHengstenberg, Christian$$b43
000179162 7001_ $$00000-0003-0663-7275$$aKleber, Marcus E$$b44
000179162 7001_ $$aDelgado, Graciela$$b45
000179162 7001_ $$aMärz, Winfried$$b46
000179162 7001_ $$aKanoni, Stavroula$$b47
000179162 7001_ $$aDedoussis, George$$b48
000179162 7001_ $$00000-0001-9251-070X$$aDeloukas, Panos$$b49
000179162 7001_ $$00000-0003-0285-6454$$aNikpay, Majid$$b50
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000179162 7001_ $$00000-0002-4059-1779$$aScholz, Markus$$b52
000179162 7001_ $$aTeren, Andrej$$b53
000179162 7001_ $$aButterworth, Adam S$$b54
000179162 7001_ $$avan der Schouw, Yvonne T$$b55
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