Results 21 to 30 of about 40,064,637 (293)

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

MOSTWAS: Multi-Omic Strategies for Transcriptome-Wide Association Studies [PDF]

open access: yesPLOS Genetics, 2020
Traditional predictive models for transcriptome-wide association studies (TWAS) consider only single nucleotide polymorphisms (SNPs) local to genes of interest and perform parameter shrinkage with a regularization process. These approaches ignore the effect of distal-SNPs or other molecular effects underlying the SNP-gene association.
Arjun Bhattacharya   +2 more
openaire   +6 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

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

Integrating Transcriptome-Wide Association Study and mRNA Expression Profiling Identifies Novel Genes Associated With Osteonecrosis of the Femoral Head

open access: yesFrontiers in Genetics, 2021
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

A microRNA Transcriptome-wide Association Study of Prostate Cancer Risk

open access: yesFrontiers in Genetics, 2022
Large genome-wide association studies have identified hundreds of single-nucleotide polymorphisms associated with increased risk of prostate cancer (PrCa), and many of these risk loci is presumed to confer regulatory effects on gene expression. While eQTL studies of long RNAs has yielded many potential risk genes, the relationship between PrCa risk ...
Larson, Nicholas B.   +9 more
openaire   +3 more sources

Genome-wide and transcriptome-wide association studies of mammographic density phenotypes reveal novel loci

open access: yesBreast Cancer Research, 2022
Background Mammographic density (MD) phenotypes, including percent density (PMD), area of dense tissue (DA), and area of non-dense tissue (NDA), are associated with breast cancer risk. Twin studies suggest that MD phenotypes are highly heritable. However,
Hongjie Chen   +56 more
doaj   +1 more source

Genome- and Transcriptome-wide Association Studies to Discover Candidate Genes for Diverse Root Phenotypes in Cultivated Rice

open access: yesRice, 2023
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

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