Results 51 to 60 of about 4,310,301 (302)

Phenome-wide Mendelian randomization study evaluating the association of circulating vitamin D with complex diseases

Frontiers in Nutrition, 2023
BackgroundCirculating vitamin D has been associated with multiple clinical diseases in observational studies, but the association was inconsistent due to the presence of confounders.
Jin-jian Xu, Jin-jian Xu, Xiao-bin Zhang, Wen-tao Tong, Teng Ying, Ke-qi Liu   +5 more
doaj   +1 more source

Association between frailty and depression: A bidirectional Mendelian randomization study

Science Advances, 2023
Frailty and depression were linked in observational studies, but the causality remains ambiguous. We intended to explore it using Mendelian randomization (MR). We obtained frailty genome-wide association study (GWAS) data from UK Biobank and TwinGen meta-
Mingzhao Deng, Fang Liu, Yuehui Liang, Kai Wang, J.-Q. Nie, Jiewei Liu   +5 more
semanticscholar   +1 more source

Causal relationship between air pollution, lung function, gastroesophageal reflux disease, and non-alcoholic fatty liver disease: univariate and multivariate Mendelian randomization study

Frontiers in Public Health
BackgroundThe association between air pollution, lung function, gastroesophageal reflux disease, and Non-alcoholic fatty liver disease (NAFLD) remains inconclusive. Previous studies were not convincing due to confounding factors and reverse causality. We
Runmin Cao, Honghe Jiang, Yurun Zhang, Ying Guo, Weibin Zhang   +4 more
doaj   +1 more source

MendelianRandomization v0.9.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 1; peer review: 2 approved]

Wellcome Open Research, 2023
The MendelianRandomization package is a software package written for the R software environment that implements methods for Mendelian randomization based on summarized data.
Stephen Burgess, Ting Ye, Ashish Patel, Zhaotong Lin, Amy M. Mason, Haoran Xue, Benjamin Woolf, Siqi Xu   +7 more
doaj  

Mendelian randomization for studying the effects of perturbing drug targets [version 2; peer review: 2 approved, 1 approved with reservations]

Wellcome Open Research, 2021
Drugs whose targets have genetic evidence to support efficacy and safety are more likely to be approved after clinical development. In this paper, we provide an overview of how natural sequence variation in the genes that encode drug targets can be used ...
Dipender Gill, Marios K. Georgakis, Venexia M. Walker, A. Floriaan Schmidt, Apostolos Gkatzionis, Daniel F. Freitag, Chris Finan, Aroon D. Hingorani, Joanna M.M. Howson, Stephen Burgess, Daniel I. Swerdlow, George Davey Smith, Michael V. Holmes, Martin Dichgans, Robert A Scott, Jie Zheng, Bruce M. Psaty, Neil M. Davies   +17 more
doaj   +1 more source

Avoiding bias from weak instruments in Mendelian randomization studies.

International Journal of Epidemiology, 2011
BACKGROUND Mendelian randomization is used to test and estimate the magnitude of a causal effect of a phenotype on an outcome by using genetic variants as instrumental variables (IVs). Estimates of association from IV analysis are biased in the direction
S. Burgess, S. Thompson
semanticscholar   +1 more source

The causality between intestinal flora and allergic diseases: Insights from a bi-directional two-sample Mendelian randomization analysis

Frontiers in Immunology, 2023
Background Growing evidence shows a significant association between intestinal flora and allergic diseases, specifically atopic dermatitis (AD), allergic rhinitis (AR), and allergic asthma (AA).
Qiu-Yu Jin, Feihong Ren, Dan Dai, Nan Sun, Yiyun Qian, Ping Song   +5 more
semanticscholar   +1 more source

Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids

Nature Communications, 2020
Mendelian randomization is a useful tool to infer causal relationships between traits, but can be confounded by the presence of pleiotropy. Here, the authors have developed MR-link, a Mendelian randomization method which accounts for unobserved ...
Adriaan van der Graaf, Annique Claringbould, Antoine Rimbert, BIOS Consortium, Harm-Jan Westra, Yang Li, Cisca Wijmenga, Serena Sanna   +7 more
doaj   +1 more source

An efficient and robust approach to Mendelian randomization with measured pleiotropic effects in a high-dimensional setting [PDF]

, 2019
Valid estimation of a causal effect using instrumental variables requires that all of the instruments are independent of the outcome conditional on the risk factor of interest and any confounders. In Mendelian randomization studies with large numbers of genetic variants used as instruments, it is unlikely that this condition will be met.
arxiv   +1 more source

A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization

Statistics in Medicine, 2017
Mendelian randomization (MR) uses genetic data to probe questions of causality in epidemiological research, by invoking the Instrumental Variable (IV) assumptions.
J. Bowden, F. Del Greco M, C. Minelli, G. Davey Smith, N. Sheehan, John F. Thompson   +5 more
semanticscholar   +1 more source