Results 31 to 40 of about 39,970,022 (174)

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

Abstract 30: Cross-cancer cross-tissue transcriptome-wide association study (TWAS) of 11 cancers identifies 56 novel genes [PDF]

open access: yesCancer Research, 2020
Abstract Although cancer is a heterogeneous disease, there are shared hallmark mechanisms across multiple tumor types. Because of this, identifying genes associated with multiple cancer types has the potential to shed light on general oncogenic mechanisms.
Helian Feng   +20 more
openaire   +1 more source

XingyiGuo/TF-TWAS: TF-TWAS

open access: yes, 2022
TF-TWAS is a tool integrating susceptible transcription factor occupancy with transcriptome-wide association studies (TWAS) to identify susceptibility genes in human cancers and non-cancer ...
Guo Lab at VUMC
core   +1 more source

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

open access: yesPLoS 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   +6 more
doaj   +2 more sources

Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes. [PDF]

open access: yes, 2022
The majority of risk loci identified by genome-wide association studies (GWAS) are in non-coding regions, hampering their functional interpretation. Instead, transcriptome-wide association studies (TWAS) identify gene-trait associations, which can be ...
Ma, Angela   +20 more
core   +1 more source

Transcriptome-wide association study identifies susceptibility genes for rheumatoid arthritis

open access: yesArthritis 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   +11 more
doaj   +1 more source

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

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

open access: yesThe 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   +8 more
doaj   +1 more source

UTMOST, A Novel Single And Cross-Tissue TWAS (Transcriptome Wide Association Study), Reveals New ASD (Autism Spectrum Disorder) Associated Genes [PDF]

open access: yes, 2020
ABSTRACT Background ASD is a complex neurodevelopmental disorder which may significantly impact on the affected individual’s life. Common variation (SNPs) could explain about 50% of ASD heritability. Despite this fact and the large size of the last GWAS meta-analysis, it is believed that hundreds of ...
Cristina Rodriguez-Fontenla   +1 more
openaire   +1 more source

Transcriptome-wide association study: Opportunity and challenges for cancer studies

open access: yes, 2022
Genome-wide association studies (GWAS) have uncovered thousands of single nucleotide polymorphism (SNP) loci that are associated with complex traits.
Kendy Shang, Jingni He*
core   +1 more source

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