Results 261 to 270 of about 41,997,054 (284)

Multitrait transcriptome‐wide association study (TWAS) tests

Genetic Epidemiology, 2021
AbstractMultitrait tests can improve power to detect associations between individual single‐nucleotide polymorphisms (SNPs) and several related traits. Here, we develop methods for multi‐SNP transcriptome‐wide association (TWAS) tests to test the association between predicted gene expression levels and multiple phenotypes.
Helian Feng, Nicholas Mancuso, Bogdan Pasaniuc, Peter Kraft   +3 more
openaire   +2 more sources

Multi-trait transcriptome-wide association studies with probabilistic Mendelian randomization [PDF]

American Journal of Human Genetics, 2021
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.
Zhongshang Yuan, Xiang Zhou, Fuzhong Xue
exaly   +3 more sources

Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges

Current Protocols
Abstract Transcriptome‐wide association study (TWAS) methodologies aim to identify genetic effects on phenotypes through the mediation of gene transcription. In TWAS, in silico models of gene expression are trained as functions of genetic variants and then applied to genome‐wide association study (GWAS) data.
Patrick Evans, Taylor Nagai, Anuar Konkashbaev, Dan Zhou, Ela W. Knapik, Eric R. Gamazon   +5 more
openaire   +2 more sources

Network regression analysis for binary and ordinal categorical phenotypes in transcriptome-wide association studies.

Genetics, 2022
Zhongshang Yuan, Xiang Zhou, Jiadong Ji
exaly  

Identifying Novel Susceptibility Genes for Colorectal Cancer Risk From a Transcriptome-Wide Association Study of 125,478 Subjects

Gastroenterology, 2021
Xiaoliang Wang, Xingyi Guo, John Potter
exaly  

Statistical Methods and Applications of Transcriptome-wide Association Studies

Genome-wide association studies (GWAS) have successfully identified thousands of genetic variants, primarily single nucleotide polymorphisms (SNPs), associated with complex human diseases and traits. However, many of these associated SNPs reside in non-coding regions of the genome, making it difficult to pinpoint the causal genes and understand the ...
openaire   +1 more source

Transcriptome-wide association study identifies new susceptibility genes for degenerative cervical spondylosis

Bone and Joint Research, 2023
Bin Shen, Yuangang Wu, Shaoyun Zhang
exaly  

Transcriptome-wide association study reveals candidate causal genes for lumbar spinal stenosis

Bone and Joint Research, 2023
Haibo Si, Bin Shen, Yi Zeng
exaly  

Integration of transcriptome-wide association study and messenger RNA expression profile to identify genes associated with osteoarthritis

Bone and Joint Research, 2020
Shiqiang Cheng, Ping Li
exaly  

Best practices for multi-ancestry, meta-analytic transcriptome-wide association studies: Lessons from the Global Biobank Meta-analysis Initiative

Cell Genomics, 2022
Masahiro Kanai, Nancy J Cox, Bogdan Pasaniuc   +2 more
exaly