Results 1 to 10 of about 11,154 (181)

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, Yogasudha Veturi, Anurag Verma, Yuki Bradford, Eric S Daar, Roy M Gulick, Sharon A Riddler, Gregory K Robbins, Jeffrey L Lennox, David W Haas, Marylyn D Ritchie   +10 more
doaj   +2 more sources

A pseudotime-dependent TWAS framework identifies disease genes along cell developmental paths [PDF]

HGG Advances
Summary: Transcriptome-wide association studies (TWASs) link genes to disease risk by integrating gene expression with genome-wide association study (GWAS) data.
Rui Cao, Chunlin Li, Erjia Cui, Logan Spector, Andrew Raduski, Nathan Anderson, Weihua Guan, Peter Gordon, Cindy Im, Tianzhong Yang   +9 more
doaj   +2 more sources

Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia [PDF]

Communications Biology
Most existing transcriptome wide association studies (TWASs) of Alzheimer’s Disease (AD) dementia only use bulk RNA-seq data and a single statistical method.
Qiang Liu, Randy L. Parrish, Shizhen Tang, Shinya Tasaki, David A. Bennett, Nicholas T. Seyfried, Philip L. De Jager, Vilas Menon, Aron S. Buchman, Jingjing Yang   +9 more
doaj   +2 more sources

CFD+CD14+ monocytes: potential pathogenic subset in myasthenia gravis uncovered by multi-omics integration and machine learning analysis [PDF]

Frontiers in Immunology
BackgroundTranscriptome−wide association study (TWAS) contributes to discovering novel susceptibility genes related to diseases. Single-cell RNA sequencing (scRNA-seq) has been extensively applied to characterize cellular heterogeneity in various ...
Shuang Li, Yifan Zhang, Chenlu Hou, Chenlu Hou, Ting Chang   +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   +1 more source

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 ...
Shizhen Tang, Aron S Buchman, Philip L De Jager, David A Bennett, Michael P Epstein, Jingjing Yang   +5 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 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

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