Results 21 to 30 of about 41,997,054 (284)

Statistical power of transcriptome‐wide association studies

open access: yesGenetic Epidemiology, 2022
AbstractTranscriptome‐Wide Association Studies (TWASs) have become increasingly popular in identifying genes (or other endophenotypes or exposures) associated with complex traits. In TWAS, one first builds a predictive model for gene expressions using an expression quantitative trait loci (eQTL) data set in stage 1, then tests the association between ...
Ruoyu He, Haoran Xue, Wei Pan
openaire   +2 more sources

Network regression analysis in transcriptome-wide association studies

open access: yesBMC Genomics, 2022
Abstract Background Transcriptome-wide association studies (TWASs) have shown great promise in interpreting the findings from genome-wide association studies (GWASs) and exploring the disease mechanisms, by integrating GWAS and eQTL mapping studies. Almost all TWAS methods only focus on one gene at a time, with exception
Jin, Xiuyuan   +5 more
openaire   +4 more sources

Opportunities and challenges for transcriptome-wide association studies [PDF]

open access: yesNature Genetics, 2019
Transcriptome-wide association studies (TWAS) integrate genome-wide association studies (GWAS) and gene expression datasets to identify gene-trait associations. In this Perspective, we explore properties of TWAS as a potential approach to prioritize causal genes at GWAS loci, by using simulations and case studies of literature-curated candidate causal ...
Michael Wainberg   +14 more
openaire   +4 more sources

Some statistical consideration in transcriptome‐wide association studies [PDF]

open access: yesGenetic Epidemiology, 2019
Abstract The methodology of transcriptome‐wide association studies (TWAS) has become popular in integrating a reference expression quantitative trait (eQTL) data set with an independent main GWAS data set to identify (putatively) causal genes, shedding mechanistic insights to biological pathways from genetic variants to a GWAS trait ...
Haoran Xue, Wei Pan
openaire   +3 more sources

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

open access: yesNucleic Acids Research, 2022
Abstract Transcriptome-wide association studies (TWASs), as a practical and prevalent approach for detecting the associations between genetically regulated genes and traits, are now leading to a better understanding of the complex mechanisms of genetic variants in regulating various diseases and traits.
Mingming Lu   +19 more
openaire   +2 more sources

Additional file 3 of Transcriptome-wide association study identifies new susceptibility genes and pathways for spondyloarthritis

open access: yes, 2023
Additional file 3: Table S1 Top genes selected by transcriptome-wide association study (TWAS ...
Menghao Teng (16939097)   +4 more
core   +1 more source

Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology [PDF]

open access: yes, 2022
To identify genetic determinants of airway dysfunction, we performed a transcriptome-wide association study for asthma by combining RNA-seq data from the nasal airway epithelium of 681 children, with UK Biobank genetic association data.
Fairbanks-Mahnke, Ana   +65 more
core   +1 more source

A transcriptome-wide association study of 229,000 women identifies new candidate susceptibility genes for breast cancer [PDF]

open access: yes, 2018
The breast cancer risk variants identified in genome-wide association studies explain only a small fraction of the familial relative risk, and the genes responsible for these associations remain largely unknown.
Shi, Wei   +999 more
core   +6 more sources

Heritability Enrichment of Immunoglobulin G N-Glycosylation in Specific Tissues

open access: yesFrontiers in Immunology, 2021
Genome-wide association studies (GWAS) have identified over 60 genetic loci associated with immunoglobulin G (IgG) N-glycosylation; however, the causal genes and their abundance in relevant tissues are uncertain.
Xingang Li   +19 more
doaj   +1 more source

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