Cargando…

Statistical power of transcriptome‐wide association studies

Transcriptome‐Wide Association Studies (TWASs) have become increasingly popular in identifying genes (or other endophenotypes or exposures) associated with complex traits. In TWAS, one first builds a predictive model for gene expressions using an expression quantitative trait loci (eQTL) data set in...

Descripción completa

Detalles Bibliográficos
Autores principales:	He, Ruoyu, Xue, Haoran, Pan, Wei
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/PMC9669108/ https://www.ncbi.nlm.nih.gov/pubmed/35766062 http://dx.doi.org/10.1002/gepi.22491

Ejemplares similares

Enrichment of statistical power for genome-wide association studies
por: Li, Meng, et al.
Publicado: (2014)

Statistical Power of Model Selection Strategies for Genome-Wide Association Studies
por: Wu, Zheyang, et al.
Publicado: (2009)

Editorial: Statistical methods for genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) and their applications
por: Shao, Mengting, et al.
Publicado: (2023)

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies
por: Hao, Ke, et al.
Publicado: (2009)

Power analysis of transcriptome-wide association study: Implications for practical protocol choice
por: Cao, Chen, et al.
Publicado: (2021)

Statistical power and utility of meta-analysis methods for cross-phenotype genome-wide association studies
por: Zhu, Zhaozhong, et al.
Publicado: (2018)

Polygenic power calculator: Statistical power and polygenic prediction accuracy of genome-wide association studies of complex traits
por: Wu, Tian, et al.
Publicado: (2022)

Leveraging biological and statistical covariates improves the detection power in epigenome-wide association testing
por: Huang, Jinyan, et al.
Publicado: (2020)

GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits
por: Feng, Sheng, et al.
Publicado: (2011)

Leveraging omics data to boost the power of genome-wide association studies
por: Lin, Zhaotong, et al.
Publicado: (2022)

A SUPER Powerful Method for Genome Wide Association Study
por: Wang, Qishan, et al.
Publicado: (2014)

Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies
por: Mieth, Bettina, et al.
Publicado: (2016)

Power analysis for genome-wide association studies
por: Klein, Robert J
Publicado: (2007)

On the interpretation of transcriptome-wide association studies
por: de Leeuw, Christiaan, et al.
Publicado: (2023)

Model checking via testing for direct effects in Mendelian Randomization and transcriptome-wide association studies
por: Deng, Yangqing, et al.
Publicado: (2021)

A statistical framework for genetic association studies of power curves in bird flight
por: Lin, Min, et al.
Publicado: (2006)

Statistical analysis for genome-wide association study
por: Zeng, Ping, et al.
Publicado: (2015)

Multi‐tissue transcriptome‐wide association studies
por: Grinberg, Nastasiya F., et al.
Publicado: (2020)

A Fast and Powerful Empirical Bayes Method for Genome-Wide Association Studies
por: Chang, Tianpeng, et al.
Publicado: (2019)

A new statistic and its power to infer membership and phenotype in a genome-wide association study using genotype frequencies
por: Jacobs, Kevin B., et al.
Publicado: (2009)

Spatial correlation statistics enable transcriptome-wide characterization of RNA structure binding
por: Busa, Veronica F., et al.
Publicado: (2021)

Sample Size and Statistical Power Calculation in Genetic Association Studies
por: Hong, Eun Pyo, et al.
Publicado: (2012)

Transcriptome-wide association study identified candidate genes associated with gut microbiota
por: Pan, Chuyu, et al.
Publicado: (2021)

Statistical power for cluster analysis
por: Dalmaijer, Edwin S., et al.
Publicado: (2022)

Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies
por: Zhang, Daiwei, et al.
Publicado: (2023)

Test-statistic inflation in methylome-wide association studies
por: Guintivano, Jerry, et al.
Publicado: (2020)

On the problem of inflation in transcriptome-wide association studies
por: Liang, Yanyu, et al.
Publicado: (2023)

Network regression analysis in transcriptome-wide association studies
por: Jin, Xiuyuan, et al.
Publicado: (2022)

Transcriptomic profiles reveal the genome-wide responses of the harmful dinoflagellate Cochlodinium polykrikoides when exposed to the algicide copper sulfate
por: Guo, Ruoyu, et al.
Publicado: (2016)

twas_sim, a Python-based tool for simulation and power analysis of transcriptome-wide association analysis
por: Wang, Xinran, et al.
Publicado: (2023)

Transcriptome-wide association study of inflammatory biologic age
por: Lin, Honghuang, et al.
Publicado: (2017)

Genome- and Transcriptome-Wide Association Studies Identify Susceptibility Genes and Pathways for Periodontitis
por: Zhu, Guirong, et al.
Publicado: (2022)

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies
por: Feng, Helian, et al.
Publicado: (2021)

A simulation study investigating power estimates in phenome-wide association studies
por: Verma, Anurag, et al.
Publicado: (2018)

Multi-ethnic transcriptome-wide association study of prostate cancer
por: Fiorica, Peter N., et al.
Publicado: (2020)

MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies
por: Bhattacharya, Arjun, et al.
Publicado: (2021)

HCLC-FC: A novel statistical method for phenome-wide association studies
por: Liang, Xiaoyu, et al.
Publicado: (2022)

Reproduction and In-Depth Evaluation of Genome-Wide Association Studies and Genome-Wide Meta-analyses Using Summary Statistics
por: Niu, Yao-Fang, et al.
Publicado: (2017)

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci
por: Chen, Hongjie, et al.
Publicado: (2022)

Going back to the future with Guthrie-powered epigenome-wide association studies
por: Cruickshank, Mark N, et al.
Publicado: (2012)

Cannot write session to /tmp/vufind_sessions/sess_qqkle0ipreq15ehhvihbkn9arn