Results 11 to 20 of about 8,098 (241)

Cell-type-aware transcriptome-wide association studies identify 91 independent risk genes for Alzheimer’s disease dementia [PDF]

Communications Biology
Most existing transcriptome wide association studies (TWASs) of Alzheimer’s Disease (AD) dementia only use bulk RNA-seq data and a single statistical method.
Qiang Liu, Randy L. Parrish, Shizhen Tang, Shinya Tasaki, David A. Bennett, Nicholas T. Seyfried, Philip L. De Jager, Vilas Menon, Aron S. Buchman, Jingjing Yang   +9 more
doaj   +2 more sources

CFD+CD14+ monocytes: potential pathogenic subset in myasthenia gravis uncovered by multi-omics integration and machine learning analysis [PDF]

Frontiers in Immunology
BackgroundTranscriptome−wide association study (TWAS) contributes to discovering novel susceptibility genes related to diseases. Single-cell RNA sequencing (scRNA-seq) has been extensively applied to characterize cellular heterogeneity in various ...
Shuang Li, Yifan Zhang, Chenlu Hou, Chenlu Hou, Ting Chang   +4 more
doaj   +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 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

PHEWAS, TWAS, Mendelian Randomization in Osteoporosis Research: the good, the bad, and the ugly [PDF]

Curr Osteoporos Rep
S Li, Katerina Trajanoska
openalex   +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

Leveraging expression from multiple tissues using sparse canonical correlation analysis and aggregate tests improves the power of transcriptome-wide association studies.

PLoS Genetics, 2021
Transcriptome-wide association studies (TWAS) test the association between traits and genetically predicted gene expression levels. The power of a TWAS depends in part on the strength of the correlation between a genetic predictor of gene expression and ...
Helian Feng, Nicholas Mancuso, Alexander Gusev, Arunabha Majumdar, Megan Major, Bogdan Pasaniuc, Peter Kraft   +6 more
doaj   +1 more source

Additional TWA members? [PDF]

Astronomy & Astrophysics, 2002
4 (journal) pages, 3 figures, accepted in A&A. (US Letter size)
Song, Inseok, Bessell, Michael, Zuckerman, B   +2 more
openaire   +2 more sources

Integrating transcriptome-wide association study and mRNA expression profile identified candidate genes related to hand osteoarthritis

Arthritis Research & Therapy, 2021
Background Osteoarthritis (OA) is a common skeletal system disease that has been partially attributed to genetic factors. The hand is frequently affected, which seriously affects the patient’s quality of life.
Jiawen Xu, Yi Zeng, Haibo Si, Yuan Liu, Mingyang Li, Junfeng Zeng, Bin Shen   +6 more
doaj   +1 more source

Identifying celiac disease-related chemicals by transcriptome-wide association study and chemical-gene interaction analyses

Frontiers in Genetics, 2022
Celiac disease (CeD) is one of the most common intestinal inflammatory diseases, and its incidence and prevalence have increased over time. CeD affects multiple organs and systems in the body, and environmental factors play a key role in its complex ...
Mengnan Lu, Ruoyang Feng, Yuesheng Liu, Yujie Qin, Hongyang Deng, Yanfeng Xiao, Chunyan Yin   +6 more
doaj   +1 more source