Transcriptome-wide association study twas

Results 101 to 110 of about 39,970,022 (174)

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status

Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations ...
A Cox (65204) +100 more
core

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies

, 2020
Integrating results from genome-wide association studies (GWASs) and gene expression studies through transcriptome-wide association study (TWAS) has the potential to shed light on the causal molecular mechanisms underlying disease etiology.
Yuan, Zhongshang +15 more
core +1 more source

Endothelial Vasoactive Pathways and Renal Outcomes: A Drug-Target Mendelian Randomization and Transcriptome-Wide Association Study

Kidney Diseases
Introduction: Endothelium-mediated regulation of vascular tone plays a crucial role in modulating vascular functions, especially in the kidney, a highly vascularized organ.
Yixin Ma +6 more
doaj +1 more source

Integrating transcriptome-wide association study and mRNA expression profiling identified candidate genes and pathways associated with osteomyelitis

, 2019
Objective: Osteomyelitis (OM) is an acute or chronic inflammatory process, characterized by severe inflammation and progressive bone destruction. Limited efforts have been made to explore the genetic basis of OM. Method: The genome-wide association study
Y Du (6951416) +12 more
core +1 more source

Transcriptome-wide association study reveals candidate causal genes for lung cancer.

, 2020
We have recently completed the largest GWAS on lung cancer including 29,266 cases and 56,450 controls of European descent. The goal of our study has been to integrate the complete GWAS results with a large-scale expression quantitative trait loci (eQTL ...
Zienolddiny, Shan +47 more
core

Multi-tissue expression and splicing data prioritise anatomical subsite- and sex-specific colorectal cancer susceptibility genes

Nature Communications
Genome-wide association studies have suggested numerous colorectal cancer (CRC) susceptibility genes, but their causality and therapeutic potential remain unclear.
Emma Hazelwood +25 more
doaj +1 more source

Transcriptome-Wide Association Study of Metabolic Dysfunction-Associated Steatotic Liver Disease Identifies Relevant Gene Signatures

The Turkish Journal of Gastroenterology
Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is considered the most widespread chronic liver condition globally. Genome-wide association studies (GWAS) have pinpointed several genetic loci correlated to MASLD, yet the
Jianxiu Wang, Qian Gao
doaj +1 more source

Transcriptome-wide association study reveals candidate causal genes for lung cancer.

, 2019
We have recently completed the largest GWAS on lung cancer including 29,266 cases and 56,450 controls of European descent. The goal of our study has been to integrate the complete GWAS results with a large-scale expression quantitative trait loci (eQTL ...
Zienolddiny, Shan +47 more
core

Identification of novel proteins associated with intelligence by integrating genome-wide association data and human brain proteomics.

PLoS ONE
While genome-wide association studies (GWAS) have identified genetic variants associated with intelligence, their biological mechanisms remain largely unexplored.
Zheng Zhang +4 more
doaj +1 more source

Transcriptome-wide association study identifies genes associated with bladder cancer risk

Scientific Reports
Genome-wide association studies (GWAS) have detected several susceptibility variants for urinary bladder cancer, but how gene regulation affects disease development remains unclear.
Siting Li +3 more
doaj +1 more source

twas
genome-wide association study
transcriptome

gwas
3. good health
transcriptome-wide association study

humans
genetics
quantitative trait loci