Results 1 to 10 of about 8,098 (241)

FarmGTEx TWAS-server: An Interactive Web Server for Customized TWAS Analysis [PDF]

Genomics, Proteomics and Bioinformatics
Abstract Transcriptome-wide association study (TWAS) is a powerful approach for investigating the molecular mechanisms linking genetic loci to complex phenotypes. However, the complexity of the TWAS analytical pipeline, including the construction of gene expression reference panels, gene expression prediction, and association analysis ...
Zhe Zhang, Zitao Chen, Zhe Zhang
exaly   +4 more sources

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia

PLoS Genetics, 2021
Transcriptome-wide association studies (TWAS) have been widely used to integrate transcriptomic and genetic data to study complex human diseases. Within a test dataset lacking transcriptomic data, traditional two-stage TWAS methods first impute gene ...
Michael Epstein, Shizhen Tang, Jingjing Yang   +2 more
exaly   +2 more sources

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

PLoS Genetics, 2021
As a type of relatively new methodology, the transcriptome-wide association study (TWAS) has gained interest due to capacity for gene-level association testing.
Binglan Li, Marylyn D Ritchie, Roy Gulick   +2 more
exaly   +2 more sources

Bayesian Genome-wide TWAS Method to Leverage both cis- and trans-eQTL Information through Summary Statistics [PDF]

American Journal of Human Genetics, 2020
Junyu Chen, Shizhen Tang, Jingjing Yang   +2 more
exaly   +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   +1 more source

On the interpretation of transcriptome-wide association studies.

PLoS Genetics, 2023
Transcriptome-wide association studies (TWAS) aim to detect relationships between gene expression and a phenotype, and are commonly used for secondary analysis of genome-wide association study (GWAS) results.
Christiaan de Leeuw, Josefin Werme, Jeanne E Savage, Wouter J Peyrot, Danielle Posthuma   +4 more
doaj   +1 more source

Power analysis of transcriptome-wide association study: Implications for practical protocol choice.

PLoS Genetics, 2021
The transcriptome-wide association study (TWAS) has emerged as one of several promising techniques for integrating multi-scale 'omics' data into traditional genome-wide association studies (GWAS).
Chen Cao, Bowei Ding, Qing Li, Devin Kwok, Jingjing Wu, Quan Long   +5 more
doaj   +1 more source

Transcriptome-wide association study identifies new susceptibility genes and pathways for spondyloarthritis

Journal of Orthopaedic Surgery and Research, 2023
Background Spondyloarthritis (SpA) is a group of multifactorial bone diseases influenced by genetic factors, the environment and lifestyle. However, current studies have found a limited number of SpA-related genes, and the genetic and pathogenic ...
Xiaochen Su, Anfa Chen, Menghao Teng, Wenchen Ji, Yingang Zhang   +4 more
doaj   +1 more source

A transcriptome-wide association study of uterine fibroids to identify potential genetic markers and toxic chemicals

PLoS ONE, 2022
Uterine fibroid is one of the most prevalent benign tumors in women, with high socioeconomic costs. Although genome-wide association studies (GWAS) have identified several loci associated with uterine fibroid risks, they could not successfully interpret ...
Gayeon Kim, Gyuyeon Jang, Jaeseung Song, Daeun Kim, Sora Lee, Jong Wha J. Joo, Wonhee Jang   +6 more
doaj   +2 more sources

Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

Arthritis Research & Therapy, 2021
Objective To identify rheumatoid arthritis (RA)-associated susceptibility genes and pathways through integrating genome-wide association study (GWAS) and gene expression profile data. Methods A transcriptome-wide association study (TWAS) was conducted by
Cuiyan Wu, Sijian Tan, Li Liu, Shiqiang Cheng, Peilin Li, Wenyu Li, Huan Liu, Feng’e Zhang, Sen Wang, Yujie Ning, Yan Wen, Feng Zhang   +11 more
doaj   +1 more source