Results 1 to 10 of about 6,539 (115)
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 +2 more
exaly +2 more sources
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 +2 more
exaly +2 more sources
Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia [PDF]
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 +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]
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 +4 more
doaj +2 more sources
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 +4 more
doaj +1 more source
On the interpretation of transcriptome-wide association studies.
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 +4 more
doaj +1 more source
Power analysis of transcriptome-wide association study: Implications for practical protocol choice.
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 +5 more
doaj +1 more source
Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis
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 +11 more
doaj +1 more source
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 +4 more
doaj +1 more source
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 +10 more
doaj +1 more source

