Results 11 to 20 of about 39,970,022 (174)

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   +2 more sources

MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies [PDF]

Genome Biology
Transcriptome-wide association study (TWAS) has emerged as a powerful tool for translating the myriad variations identified by genome-wide association studies (GWAS) into regulated genes in the post-GWAS era.
Han Wang, Xiang Li, Teng Li, Zhe Li, Pak Chung Sham, Yan Dora Zhang   +5 more
doaj   +2 more sources

TWAS-GKF: a novel method for causal gene identification in transcriptome-wide association studies with knockoff inference

Bioinformatics
Abstract Motivation Transcriptome-wide association study (TWAS) aims to identify trait-associated genes regulated by significant variants to explore the underlying biological mechanisms at a tissue-specific level.
Anqi Wang, Peixin Tian, Yan Dora Zhang
openaire   +3 more sources

Transcriptome-wide association study uncovers the role of essential genes in anthracycline-induced cardiotoxicity

npj Genomic Medicine, 2021
Anthracyclines are highly effective chemotherapeutic agents; however, their clinical utility is limited by severe anthracycline-induced cardiotoxicity (ACT).
Erika N. Scott, Galen E. B. Wright, Britt I. Drögemöller, Jafar S. Hasbullah, Erandika P. Gunaretnam, Fudan Miao, Amit P. Bhavsar, Fei Shen, Bryan P. Schneider, Bruce C. Carleton, Colin J. D. Ross   +10 more
doaj   +2 more sources

Multi-ancestry Transcriptome-Wide Association Study (TWAS)-Informed Prioritization of Antipsychotic Metabolic Risk: Evaluation of GLP1R as a Shared Mechanistic Link. [PDF]

Cureus
Cheung N.
europepmc   +2 more sources

Transcriptome-wide association study of breast cancer risk by estrogen-receptor status. [Elektronisk resurs] [PDF]

, 2020
Previous transcriptome-wide association studies (TWAS) have identified breast cancer risk genes by integrating data from expression quantitative loci and genome-wide association studies (GWAS), but analyses of breast cancer subtype-specific associations ...
Ellberg, Carolina,, Borg, Åke,, EMBRACE Collaborators, Olsson, Håkan,, GC-HBOC Study Collaborators, Feng, Helian,, Lund University., GEMO Study Collaborators   +7 more
core   +7 more sources

UTMOST, a single and cross-tissue TWAS (Transcriptome Wide Association Study), reveals new ASD (Autism Spectrum Disorder) associated genes [PDF]

Translational Psychiatry, 2021
Abstract Autism spectrum disorders (ASD) is a complex neurodevelopmental disorder that may significantly impact on the affected individual’s life. Common variation (SNPs) could explain about 50% of ASD heritability.
Cristina Rodriguez-Fontenla, Angel Carracedo   +1 more
openaire   +4 more sources

Genome- and Transcriptome-Wide Association Studies Identify Susceptibility Genes and Pathways for Periodontitis

Cells, 2022
Several genes associated with periodontitis have been identified through genome-wide association studies (GWAS); however, known genes only explain a minority of the estimated heritability.
Guirong Zhu, Xing Cui, Liwen Fan, Yongchu Pan, Lin Wang   +4 more
doaj   +1 more source

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

Nucleic 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, Yadong Zhang, Fengchun Yang, Jialin Mai, Qianwen Gao, Xiaowei Xu, Hongyu Kang, Li Hou, Yunfei Shang, Qiheng Qain, Jie Liu, Meiye Jiang, Hao Zhang, Congfan Bu, Jinyue Wang, Zhewen Zhang, Zaichao Zhang, Jingyao Zeng, Jiao Li, Jingfa Xiao   +19 more
openaire   +2 more sources

Methyl-TWAS: A Powerful Method for In Silico Transcriptome-wide Association Studies (TWAS) Using Long-range DNA Methylation

B16. NOVEL INSIGHTS INTO ASTHMA PATHOGENESIS, 2023
ABSTRACT In silico transcriptome-wide association studies (TWAS) are commonly used to test whether expression of specific genes is linked to a complex trait. However, genotype-based in silico TWAS such as PrediXcan, exhibit low prediction accuracy for a majority of
Soyeon Kim, Yidi Qin, Hyun Jung Park, Molin Yue, Zhongli Xu, Erick Forno, Wei Chen, Juan C. Celedón   +7 more
openaire   +2 more sources