Results 21 to 30 of about 92,622 (257)
Probabilistic fine-mapping of transcriptome-wide association studies [PDF]
Transcriptome-wide association studies using predicted expression have identified thousands of genes whose locally regulated expression is associated with complex traits and diseases. In this work, we show that linkage disequilibrium induces significant gene-trait associations at non-causal genes as a function of the expression quantitative trait loci ...
Nicholas Mancuso +6 more
openaire +4 more sources
Proteome-Wide Association Studies for Blood Lipids and Comparison with Transcriptome-Wide Association Studies [PDF]
AbstractBlood lipid traits are treatable and heritable risk factors for heart disease, a leading cause of mortality worldwide. Although genome-wide association studies (GWAS) have discovered hundreds of variants associated with lipids in humans, most of the causal mechanisms of lipids remain unknown.
Daiwei Zhang +21 more
openaire +5 more sources
Opportunities and challenges for transcriptome-wide association studies [PDF]
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
Transcriptome‐wide association studies: a view from Mendelian randomization
BackgroundGenome‐wide association studies (GWASs) have identified thousands of genetic variants that are associated with many complex traits. However, their biological mechanisms remain largely unknown. Transcriptome‐wide association studies (TWAS) have been recently proposed as an invaluable tool for investigating the potential gene regulatory ...
Huanhuan, Zhu, Xiang, Zhou
openaire +2 more sources
Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization [PDF]
A transcriptome-wide association study (TWAS) integrates data from genome-wide association studies and gene expression mapping studies for investigating the gene regulatory mechanisms underlying diseases. Existing TWAS methods are primarily univariate in nature, focusing on analyzing one outcome trait at a time.
Lu, Liu +4 more
openaire +2 more sources
Heritability Enrichment of Immunoglobulin G N-Glycosylation in Specific Tissues
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
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
Integrative approaches for large-scale transcriptome-wide association studies [PDF]
AbstractMany genetic variants influence complex traits by modulating gene expression, thus altering the abundance levels of one or multiple proteins. In this work we introduce a powerful strategy that integrates gene expression measurements with large-scale genome-wide association data to identify genes whose cis-regulated expression is associated to ...
Alexander Gusev +24 more
openaire +9 more sources
Root system architecture plays a crucial role in nutrient and water absorption during rice production. Genetic improvement of the rice root system requires elucidating its genetic control.
Shujun Wei +7 more
doaj +1 more source
Objective: We identify and explore the candidate susceptibility genes for cirrhosis and their underlying biological mechanism.Methods: We downloaded the genome-wide association studies summary data of 901 cirrhosis cases and 451,363 controls and ...
Xiao-Bo Zhu +7 more
doaj +1 more source

