Results 21 to 30 of about 6,140 (191)

A transcriptome-wide association study of uterine fibroids to identify potential genetic markers and toxic chemicals.

PLoS ONE, 2022
Uterine fibroid is one of the most prevalent benign tumors in women, with high socioeconomic costs. Although genome-wide association studies (GWAS) have identified several loci associated with uterine fibroid risks, they could not successfully interpret ...
Gayeon Kim, Gyuyeon Jang, Jaeseung Song, Daeun Kim, Sora Lee, Jong Wha J Joo, Wonhee Jang   +6 more
doaj   +2 more sources

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

Frontiers 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, Peilin Li, Li Liu, Shiqiang Cheng, Bolun Cheng, Chu Jun Liang, Sijia Tan, Wenyu Li, Yan Wen, Xiong Guo, Cuiyan Wu   +10 more
doaj   +1 more source

Transcriptome-Wide Association Uncovers LncRNAs Controlling Seed Weight in Soybean. [PDF]

Adv Sci (Weinh)
This study employs transcriptome‐wide association studies (TWAS) to identify 201 long non‐coding RNAs (lncRNAs) associated with seed weight. Expression quantitative trait locus (eQTL) analysis reveals dynamic and static regulatory variants controlling lncRNA expression across development.
Wang X, Jiang X, Yuan X, Zhou Z, Zhao Z, Wang L, Jiao W, Ye W, Song Q.   +8 more
europepmc   +2 more sources

On the interpretation of transcriptome-wide association studies.

PLoS Genetics, 2023
Transcriptome-wide association studies (TWAS) aim to detect relationships between gene expression and a phenotype, and are commonly used for secondary analysis of genome-wide association study (GWAS) results.
Christiaan de Leeuw, Josefin Werme, Jeanne E Savage, Wouter J Peyrot, Danielle Posthuma   +4 more
doaj   +1 more source

TIGAR-V2: Efficient TWAS tool with nonparametric Bayesian eQTL weights of 49 tissue types from GTEx V8

HGG Advances, 2022
Summary: Standard transcriptome-wide association study (TWAS) methods first train gene expression prediction models using reference transcriptomic data and then test the association between the predicted genetically regulated gene expression and ...
Randy L. Parrish, Greg C. Gibson, Michael P. Epstein, Jingjing Yang   +3 more
doaj   +1 more source

Integrative multi-omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction. [PDF]

Alzheimers Dement
Abstract INTRODUCTION Alzheimer's disease (AD) is a complex neurodegenerative disorder with heterogeneous genetic and molecular underpinnings. Polygenic scores (PGS) capture little of this complexity. METHODS We conducted genome‐, transcriptome‐, and proteome‐wide association studies (G/T/PWAS) on 15,480 individuals from the Alzheimer's Disease ...
Venkatesh R, Cardone KM, Bradford Y, Moore AK, Kumar R, Moore JH, Shen L, Kim D, Ritchie MD.   +8 more
europepmc   +2 more sources

Transcriptome-Wide Association Studies and Integration Analysis of mRNA Expression Profiles Identify Candidate Genes and Pathways Associated With Ankylosing Spondylitis

Frontiers in Immunology, 2022
This study aimed to identify susceptibility genes and pathways associated with ankylosing spondylitis (AS) by integrating whole transcriptome-wide association study (TWAS) analysis and mRNA expression profiling data.
Ruoyang Feng, Mengnan Lu, Lin Liu, Ke Xu, Peng Xu   +4 more
doaj   +1 more source

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

Nucleic Acids Res., 2021
The development of transcriptome-wide association studies (TWAS) has enabled researchers to better identify and interpret causal genes in many diseases.
Chen Cao, Jianhua Wang, Devin Kwok, Feifei Cui, Zilong Zhang, Da Zhao, Mulin Jun Li, Q. Zou   +7 more
semanticscholar   +1 more source

Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

Arthritis Research & Therapy, 2021
Objective To identify rheumatoid arthritis (RA)-associated susceptibility genes and pathways through integrating genome-wide association study (GWAS) and gene expression profile data. Methods A transcriptome-wide association study (TWAS) was conducted by
Cuiyan Wu, Sijian Tan, Li Liu, Shiqiang Cheng, Peilin Li, Wenyu Li, Huan Liu, Feng’e Zhang, Sen Wang, Yujie Ning, Yan Wen, Feng Zhang   +11 more
doaj   +1 more source

Transcriptome‐wide association and prediction for carotenoids and tocochromanols in fresh sweet corn kernels

The Plant Genome, 2022
Sweet corn (Zea mays L.) is consistently one of the most highly consumed vegetables in the United States, providing a valuable opportunity to increase nutrient intake through biofortification.
Jenna Hershberger, Ryokei Tanaka, Joshua C. Wood, Nicholas Kaczmar, Di Wu, John P. Hamilton, Dean DellaPenna, C. Robin Buell, Michael A. Gore   +8 more
doaj   +1 more source