Results 1 to 10 of about 42,228 (267)

COVID-19 is associated with the risk of cardiovascular disease death: A two-sample Mendelian randomization study

Frontiers in Cardiovascular Medicine, 2022
ObjectiveThis study aimed to estimate the causal effects of Coronavirus disease 2019 susceptibility and hospitalization on cardiovascular disease death using two-sample Mendelian randomization analysis.MethodsWe used statistics from a genome-wide ...
Jia-peng Miao, Xiao-yu Gu, Rui-zheng Shi
doaj   +1 more source

Smoking and Heart Failure: A Mendelian Randomization and Mediation Analysis [PDF]

ESC Heart Failure, 2021
Abstract Aims We performed a Mendelian randomization (MR) study to elucidate the associations of ever smoking, lifelong smoking duration, and smoking cessation with heart failure (HF) risk. Methods and results We ...
Yunlong Lu, Zhouming Xu, Marios K. Georgakis, Zhen Wang, Hefeng Lin, Liangrong Zheng   +5 more
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ACLY and CKD: A Mendelian Randomization Analysis

Kidney International Reports, 2022
Adenosine triphosphate-citrate lyase (ACLY) inhibition is a therapeutic strategy under investigation for atherosclerotic cardiovascular disease, nonalcoholic steatohepatitis, and metabolic syndrome. Mouse models suggest that ACLY inhibition could reduce inflammation and kidney fibrosis.
Mohammadi-Shemirani, P, Chong, M, Perrot, N, Pigeyre, M, Steinberg, GR, Paré, G, Krepinsky, JC, Lanktree, MB   +7 more
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The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis [PDF]

PLoS Medicine, 2013
The association between adiposity and cardiometabolic traits is well known from epidemiological studies. Whilst the causal relationship is clear for some of these traits, for others it is not. We aimed to determine whether adiposity is causally related to various cardiometabolic traits using the Mendelian randomization approach.We used the adiposity ...
Fall, T, Hägg, S, Mägi, R, Ploner, A, Fischer, K, Horikoshi, M, Sarin, AP, Thorleifsson, G, Ladenvall, C, Kals, M, Kuningas, M, Draisma, HH, Ried, JS, van, Zuydam, NR, Huikari, V, Mangino, M, Sonestedt, E, Benyamin, B, Nelson, CP, Rivera, NV, Kristiansson, K, Shen, HY, Havulinna, AS, Dehghan, A, Donnelly, LA, Kaakinen, M, Nuotio, ML, Robertson, N, de Bruijn, RF, Ikram, MA, Amin, N, Balmforth, AJ, Braund, PS, Doney, AS, Döring, A, Elliott, P, Esko, T, Franco, OH, Gretarsdottir, S, Hartikainen, AL, Heikkilä, K, Herzig, KH, Holm, H, Hottenga, JJ, Hyppönen, E, Illig, T, Isaacs, A, Isomaa, B, Karssen, LC, Kettunen, J, Koenig, W, Kuulasmaa, K, Laatikainen, T, Laitinen, J, Lindgren, C, Lyssenko, V, Läärä, E, Rayner, NW, Männistö, S, Pouta, A, Rathmann, W, Rivadeneira, F, Ruokonen, A, Savolainen, MJ, Sijbrands, EJ, Small, KS, Smit, JH, Steinthorsdottir, V, Syvänen, AC, Taanila, A, Tobin, MD, Uitterlinden, AG, Willems, SM, Willemsen, G, Witteman, J, Perola, M, Evans, A, Ferrières, J, Virtamo, J, Kee, F, Tregouet, DA, Arveiler, D, Amouyel, P, Ferrario, MM, BRAMBILLA, PAOLO, Hall, AS, Heath, AC, Madden, PA, Martin, NG, Montgomery, GW, Whitfield, JB, Jula, A, Knekt, P, Oostra, B, van Duijn, CM, Penninx, BW, Davey Smith, G, Kaprio, J, Samani, NJ, Gieger, C, Peters, A, Wichmann, HE, Boomsma, DI, de Geus, EJ, Tuomi, T, Power, C, Hammond, CJ, Spector, TD, Lind, L, Orho Melander, M, Palmer, CN, Morris, AD, Groop, L, Järvelin, MR, Salomaa, V, Vartiainen, E, Hofman, A, Ripatti, S, Metspalu, A, Thorsteinsdottir, U, Stefansson, K, Pedersen, NL, McCarthy, MI, Ingelsson, E, Prokopenko, I.   +125 more
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BioWinfordMR: an online platform for comprehensive Mendelian randomization analysis. [PDF]

Front Immunol
Background Mendelian randomization (MR) has become a tool for the rapid and accurate identification of genetic relationships between phenotypes. However, owing to the lack of rigorous and standard analytical tools, many MR conclusions are unreproducible or controversial.
Wang Y, Wu T, Lu X, Wang X, Xue W.
europepmc   +3 more sources

Selenium and cancer risk: Wide‐angled Mendelian randomization analysis [PDF]

International Journal of Cancer, 2021
AbstractEvidence on the association between selenium and cancer risk is inconclusive. We conducted a Mendelian randomization study to examine the associations of selenium levels with 22 site‐specific cancers and any cancer. Single nucleotide polymorphisms (SNPs) strongly associated with toenail and blood (TAB) and blood selenium levels in mild linkage ...
Yuan, Shuai, Mason, Amy, Carter, Paul, Vithayathil, Mathew, Kar, Siddhartha, Burgess, Stephen, Larsson, Susanna C   +6 more
openaire   +5 more sources

Meta‐analysis andMendelianrandomization: A review [PDF]

Research Synthesis Methods, 2019
Mendelian randomization (MR) uses genetic variants as instrumental variables to infer whether a risk factor causally affects a health outcome. Meta‐analysis has been used historically in MR to combine results from separate epidemiological studies, with each study using a small but select group of genetic variants.
Bowden, J, Holmes, MV
openaire   +5 more sources

Causal relationship between obesity and iron deficiency anemia: a two-sample Mendelian randomization study

Frontiers in Public Health, 2023
BackgroundObservational studies have suggested an association between obesity and iron deficiency anemia, but such studies are susceptible to reverse causation and residual confounding.
Tingting Wang, Qi Gao, Yuanyuan Yao, Ge Luo, Tao Lv, Guangxin Xu, Mingxia Liu, Jingpin Xu, Xuejie Li, Dawei Sun, Zhenzhen Cheng, Ying Wang, Chaomin Wu, Ruiyu Wang, Jingcheng Zou, Min Yan   +15 more
doaj   +1 more source

Mendelian randomization and pleiotropy analysis

Quantitative Biology, 2021
BackgroundMendelian randomization (MR) analysis has become popular in inferring and estimating the causality of an exposure on an outcome due to the success of genome wide association studies. Many statistical approaches have been developed and each of these methods require specific assumptions.ResultsIn this article, we review the pros and cons of ...
openaire   +3 more sources

Mendelian randomization analysis with survival outcomes

Genetic Epidemiology, 2020
AbstractMendelian randomization (MR) is an established approach for assessing the causal effects of heritable exposures on outcomes. Outcomes of interest often include binary clinical endpoints, but may also include censored survival times. We explore the implications of both the Cox proportional hazard model and the additive hazard model in the ...
Cho, Youngjoo, Rau, Andrea, Reiner, Alex, Auer, Paul   +3 more
openaire   +4 more sources