Cargando…

Profile‐likelihood Bayesian model averaging for two‐sample summary data Mendelian randomization in the presence of horizontal pleiotropy

Two‐sample summary data Mendelian randomization is a popular method for assessing causality in epidemiology, by using genetic variants as instrumental variables. If genes exert pleiotropic effects on the outcome not entirely through the exposure of interest, this can lead to heterogeneous and (poten...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shapland, Chin Yang, Zhao, Qingyuan, Bowden, Jack
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	John Wiley and Sons Inc. 2022
Materias:	Research Articles
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303808/ https://www.ncbi.nlm.nih.gov/pubmed/35060160 http://dx.doi.org/10.1002/sim.9320

Ejemplares similares

A framework for the investigation of pleiotropy in two‐sample summary data Mendelian randomization
por: Bowden, Jack, et al.
Publicado: (2017)

Robust inference in summary data Mendelian randomization via the zero modal pleiotropy assumption
por: Hartwig, Fernando Pires, et al.
Publicado: (2017)

MR-LDP: a two-sample Mendelian randomization for GWAS summary statistics accounting for linkage disequilibrium and horizontal pleiotropy
por: Cheng, Qing, et al.
Publicado: (2020)

Robust Mendelian randomization in the presence of residual population stratification, batch effects and horizontal pleiotropy
por: Cinelli, Carlos, et al.
Publicado: (2022)

Invited Commentary: Detecting Individual and Global Horizontal Pleiotropy in Mendelian Randomization—A Job for the Humble Heterogeneity Statistic?
por: Bowden, Jack, et al.
Publicado: (2018)

Evaluating the potential role of pleiotropy in Mendelian randomization studies
por: Hemani, Gibran, et al.
Publicado: (2018)

Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data
por: Xue, Haoran, et al.
Publicado: (2020)

Mendelian randomization for causal inference accounting for pleiotropy and sample structure using genome-wide summary statistics
por: Hu, Xianghong, et al.
Publicado: (2022)

Mendelian randomization with Egger pleiotropy correction and weakly informative Bayesian priors
por: Schmidt, A F, et al.
Publicado: (2018)

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies
por: Yuan, Zhongshang, et al.
Publicado: (2020)

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework
por: Cho, Yoonsu, et al.
Publicado: (2020)

An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
por: Sanderson, Eleanor, et al.
Publicado: (2019)

Mendelian randomization accounting for complex correlated horizontal pleiotropy while elucidating shared genetic etiology
por: Cheng, Qing, et al.
Publicado: (2022)

Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption
por: Bowden, Jack, et al.
Publicado: (2019)

Corrigendum to: An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings
por: Sanderson, Eleanor, et al.
Publicado: (2020)

Detection of widespread horizontal pleiotropy in causal relationships inferred from Mendelian randomization between complex traits and diseases
por: Verbanck, Marie, et al.
Publicado: (2018)

Constrained instruments and their application to Mendelian randomization with pleiotropy
por: Jiang, Lai, et al.
Publicado: (2019)

Pleiotropy robust methods for multivariable Mendelian randomization
por: Grant, Andrew J., et al.
Publicado: (2021)

Likelihood-based Mendelian randomization analysis with automated instrument selection and horizontal pleiotropic modeling
por: Yuan, Zhongshang, et al.
Publicado: (2022)

Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data
por: Xue, Haoran, et al.
Publicado: (2022)

Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy
por: Verhoef, Ellen, et al.
Publicado: (2021)

Exploiting collider bias to apply two-sample summary data Mendelian randomization methods to one-sample individual level data
por: Barry, Ciarrah, et al.
Publicado: (2021)

White Matter Integrity and Nicotine Dependence: Evaluating Vertical and Horizontal Pleiotropy
por: Ye, Zhenyao, et al.
Publicado: (2021)

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
por: Bowden, Jack, et al.
Publicado: (2018)

Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the Radial plot and Radial regression
por: Bowden, Jack, et al.
Publicado: (2018)

Power, measurement error, and pleiotropy robustness in twin-design extensions to Mendelian Randomization
por: Castro-de-Araujo, Luis FS, et al.
Publicado: (2023)

Pleiotropy of Alzheimer’s Disease and Educational Attainment: Insights from the Summary Statistics
por: Loika, Yury, et al.
Publicado: (2021)

Pleiotropy of Alzheimer’s Disease and Educational Attainment: Insights from the Summary Statistics
por: Loika, Yury, et al.
Publicado: (2021)

Assessing the suitability of summary data for two-sample Mendelian randomization analyses using MR-Egger regression: the role of the [Formula: see text] statistic
por: Bowden, Jack, et al.
Publicado: (2016)

Approximate restricted maximum likelihood and approximate prediction error variance of the Mendelian sampling effect
por: Boichard, D, et al.
Publicado: (1992)

Testing and correcting for weak and pleiotropic instruments in two‐sample multivariable Mendelian randomization
por: Sanderson, Eleanor, et al.
Publicado: (2021)

Inference under unequal probability sampling with the Bayesian exponentially tilted empirical likelihood
por: Yiu, A., et al.
Publicado: (2020)

Mendelian randomisation with coarsened exposures
por: Tudball, Matthew J., et al.
Publicado: (2021)

Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences
por: Zhang, Zhang, et al.
Publicado: (2009)

Software application profile: mrrobust—a tool for performing two-sample summary Mendelian randomization analyses
por: Spiller, Wes, et al.
Publicado: (2019)

Extending the MR‐Egger method for multivariable Mendelian randomization to correct for both measured and unmeasured pleiotropy
por: Rees, Jessica M. B., et al.
Publicado: (2017)

Support Interval for Two-Sample Summary Data-Based Mendelian Randomization
por: Wang, Kai
Publicado: (2023)

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics
por: Li, Ruowang, et al.
Publicado: (2021)

A Pleiotropy-Informed Bayesian False Discovery Rate Adapted to a Shared Control Design Finds New Disease Associations From GWAS Summary Statistics
por: Liley, James, et al.
Publicado: (2015)

Overlapping-sample Mendelian randomisation with multiple exposures: a Bayesian approach
por: Zou, Linyi, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_sfc1ier9biaf2nmmotdtq3mm4f