Results 1 to 10 of about 2,865 (127)

A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping [PDF]

Genetic Epidemiology, 2022
AbstractHematological measures are important intermediate clinical phenotypes for many acute and chronic diseases and are highly heritable. Although genome‐wide association studies (GWAS) have identified thousands of loci containing trait‐associated variants, the causal genes underlying these associations are often uncertain.
Bing Yu, Mariaelisa Graff, Alanna Morrison   +2 more
exaly   +4 more sources

TWAS atlas 2.0: an updated data resource for transcriptome-wide association studies [PDF]

Nucleic Acids Research
Abstract Transcriptome-wide association studies (TWAS), which combine large-scale GWAS and expression quantitative trait loci (eQTL) datasets to predict gene expression levels and identify trait-related genes, have recently been applied across many traits.
Jingyao Zeng, Jingfa Xiao, Si Zheng
exaly   +4 more sources

Integrating Transcriptome-Wide Association Study and mRNA Expression Profiling Identifies Novel Genes Associated With Osteonecrosis of the Femoral Head

Frontiers in Genetics, 2021
ObjectiveThis study aims to identify novel candidate genes associated with osteonecrosis of the femoral head (ONFH).MethodsA transcriptome-wide association study (TWAS) was performed by integrating the genome-wide association study dataset of ...
Mei Ma, Peilin Li, Li Liu, Shiqiang Cheng, Bolun Cheng, Chu Jun Liang, Sijia Tan, Wenyu Li, Yan Wen, Xiong Guo, Cuiyan Wu   +10 more
doaj   +3 more sources

TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8

HGG Advances, 2022
Summary: Standard transcriptome-wide association study (TWAS) methods first train gene expression prediction models using reference transcriptomic data and then test the association between the predicted genetically regulated gene expression and ...
Randy L. Parrish, Greg C. Gibson, Michael P. Epstein, Jingjing Yang   +3 more
doaj   +3 more sources

Multiple-Tissue Integrative Transcriptome-Wide Association Studies Discovered New Genes Associated With Amyotrophic Lateral Sclerosis

Frontiers in Genetics, 2020
Genome-wide association studies (GWAS) have identified multiple causal genes associated with amyotrophic lateral sclerosis (ALS); however, the genetic architecture of ALS remains completely unknown and a large number of causal genes have yet been ...
Lishun Xiao, Zhongshang Yuan, Siyi Jin, Ting Wang, Shuiping Huang, Shuiping Huang, Ping Zeng, Ping Zeng   +7 more
doaj   +3 more sources

Mendelian randomization analysis of causal relationships between chondrosarcoma and angiogenesis related genes [PDF]

Discover Oncology
Objective To systematically explore causal relationships between chondrosarcoma and angiogenesis-related gene expression using Mendelian randomization (MR) and transcriptome-wide association study (TWAS) approaches, and identify potential therapeutic ...
Peng Xie, Xiangtao Bian, Wei Wei, Hai Teng, Chengbo Wang   +4 more
doaj   +2 more sources

Transcriptome-Wide Association Studies and Integration Analysis of mRNA Expression Profiles Identify Candidate Genes and Pathways Associated With Ankylosing Spondylitis

Frontiers in Immunology, 2022
This study aimed to identify susceptibility genes and pathways associated with ankylosing spondylitis (AS) by integrating whole transcriptome-wide association study (TWAS) analysis and mRNA expression profiling data.
Ruoyang Feng, Mengnan Lu, Lin Liu, Ke Xu, Peng Xu   +4 more
doaj   +3 more sources

Transcriptome-wide association study of cardiovascular outcomes in chronic kidney disease: The chronic renal insufficiency cohort [PDF]

HGG Advances
Summary: Transcriptome-wide association studies (TWASs) are powerful for identifying gene-trait associations by integrating gene expression and genome-wide association data, but findings may be impacted by the choice of gene expression reference.
Bridget M. Lin, Jia Wen, Andrea R.V.R. Horimoto, Lingbo Zhou, Shuai Huang, Mirela Dobre, Alan S. Go, Yun Li, Nora Franceschini, Amanda H. Anderson, Lawrence J. Appel, Jing Chen, Debbie L. Cohen, Laura M. Dember, Alan S. Go, James P. Lash, Mahboob Rahman, Panduranga S. Rao, Vallabh O. Shah, Mark L. Unruh   +19 more
doaj   +2 more sources

Editorial: Statistical methods for genome-wide association studies (GWAS) and transcriptome-wide association studies (TWAS) and their applications

Frontiers in Genetics, 2023
Juexin Wang, , Qingrun Zhang
exaly   +4 more sources

Cross-Tissue Transcriptome-Wide Association Study and TWAS-FOCUS Fine-Mapping Reveal Novel Susceptibility Genes for Primary Open-Angle Glaucoma. [PDF]

Transl Vis Sci Technol
Pan Z, Liu K, Jiang B, Dong C.
europepmc   +2 more sources