Results 1 to 10 of about 56,647 (174)

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia

PLoS Genetics, 2021
Transcriptome-wide association studies (TWAS) have been widely used to integrate transcriptomic and genetic data to study complex human diseases. Within a test dataset lacking transcriptomic data, traditional two-stage TWAS methods first impute gene ...
Shizhen Tang, Aron S Buchman, Philip L De Jager   +2 more
exaly   +2 more sources

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

PLoS Genetics, 2021
As a type of relatively new methodology, the transcriptome-wide association study (TWAS) has gained interest due to capacity for gene-level association testing.
Binglan Li, Yogasudha Veturi, Anurag Verma   +2 more
exaly   +2 more sources

Leveraging genomic and transcriptomic data of diverse ancestry to uncover mechanisms of psychiatric risk in the adult and developing brain [PDF]

Nature Communications
We explore strategies to harness ancestral diversity in PsychENCODE Consortium Genotype-Expression (GEx) reference panels (adult and developing brain) and Psychiatric Genomics Consortium GWAS data to improve genetically regulated expression (GReX) models
Aarti Jajoo, Vijetha Balakundi, Chris Chatzinakos, Athina Aruldass, Cindy Wen, Ilse G. C. Kolmans, Artemis Iatrou, Joel E. Kleinman, Kerry J. Ressler, Tim Bigdeli, Michael J. Gandal, Nikolaos P. Daskalakis   +11 more
doaj   +2 more sources

Transcriptome-Wide Association Supplements Genome-Wide Association in Zea mays [PDF]

G3: Genes, Genomes, Genetics, 2019
Modern improvement of complex traits in agricultural species relies on successful associations of heritable molecular variation with observable phenotypes. Historically, this pursuit has primarily been based on easily measurable genetic markers.
Karl A. G. Kremling, Christine H. Diepenbrock, Michael A. Gore, Edward S. Buckler, Nonoy B. Bandillo   +4 more
doaj   +4 more sources

Transcriptome-wide association study of cardiovascular outcomes in chronic kidney disease: The chronic renal insufficiency cohort [PDF]

HGG Advances
Summary: Transcriptome-wide association studies (TWASs) are powerful for identifying gene-trait associations by integrating gene expression and genome-wide association data, but findings may be impacted by the choice of gene expression reference.
Bridget M. Lin, Jia Wen, Andrea R.V.R. Horimoto, Lingbo Zhou, Shuai Huang, Mirela Dobre, Alan S. Go, Yun Li, Nora Franceschini, Amanda H. Anderson, Lawrence J. Appel, Jing Chen, Debbie L. Cohen, Laura M. Dember, Alan S. Go, James P. Lash, Mahboob Rahman, Panduranga S. Rao, Vallabh O. Shah, Mark L. Unruh   +19 more
doaj   +2 more sources

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Alzheimer's Research and Therapy
Background Transcriptome-wide association study (TWAS) is an influential tool for identifying genes associated with complex diseases whose genetic effects are likely mediated through transcriptome.
Shuyi Guo, Jingjing Yang
exaly   +2 more sources

SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning

Nature Communications
Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression methods could be used for training gene expression imputation models for transcriptome-wide association studies (TWAS). To leverage expression imputation
Philip L De Jager, Randy Parrish, Aron S Buchman   +2 more
exaly   +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

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

Power analysis of transcriptome-wide association study: Implications for practical protocol choice.

PLoS Genetics, 2021
The transcriptome-wide association study (TWAS) has emerged as one of several promising techniques for integrating multi-scale 'omics' data into traditional genome-wide association studies (GWAS).
Chen Cao, Bowei Ding, Qing Li, Devin Kwok, Jingjing Wu, Quan Long   +5 more
doaj   +1 more source