Results 251 to 260 of about 41,997,054 (284)

scPrediXcan integrates deep learning methods and single-cell data into a cell-type-specific transcriptome-wide association study framework. [PDF]

Cell Genom
Zhou Y, Adeluwa T, Zhu L, Salazar-Magaña S, Sumner S, Kim H, Gona S, Nyasimi F, Kulkarni R, Powell JE, Madduri R, Liu B, Chen M, Im HK.   +13 more
europepmc   +1 more source

Transcriptome-Wide Association Study of Metabolic Dysfunction-Associated Steatotic Liver Disease Identifies Relevant Gene Signatures. [PDF]

Turk J Gastroenterol
Wang J, Gao Q.
europepmc   +1 more source

A cross-tissue transcriptome-wide association study identifies WDPCP as a potential susceptibility gene for coronary atherosclerosis. [PDF]

Atheroscler Plus
Hu X, Chen G, Yang X, Cui J, Zhang N.
europepmc   +1 more source

webTWAS 2.0: update platform for identifying complex disease susceptibility genes through transcriptome-wide association study. [PDF]

Nucleic Acids Res
Cao C, Shao M, Wang J, Li Z, Chen H, You T, Li MJ, Ding Y, Zou Q.   +8 more
europepmc   +1 more source

Integrative Transcriptome-Wide Association Study With Expression Quantitative Trait Loci Colocalization Identifies a Causal VAMP8 Variant for Nasopharyngeal Carcinoma Susceptibility. [PDF]

Adv Sci (Weinh)
Liang Y, Xiong XY, Lin GW, Bai X, Li F, Ko JM, Zhou YH, Xu AY, Liu SQ, He S, Wei PP, Chen QY, Tang LQ, Wang VY, Mai HQ, Luo CL, Zeng Y, Lung ML, Ji M, Bei JX.   +19 more
europepmc   +1 more source

A novel reusable transcriptome-wide association study workflow used to map key genes linked to important cattle traits

Jayaraman S, Chitneedi PK, Kadri NK, Costa-Monteiro-Moreira G, Salavati M, Charlier C, Boichard D, Sanchez M, Pausch H, Kühn C, Prendergast J, Clark E.   +11 more
europepmc   +1 more source

Transcriptome-wide association studies: a view from Mendelian randomization

Quantitative Biology, 2021
BackgroundGenome‐wide association studies (GWASs) have identified thousands of genetic variants that are associated with many complex traits. However, their biological mechanisms remain largely unknown. Transcriptome‐wide association studies (TWAS) have been recently proposed as an invaluable tool for investigating the potential gene regulatory ...
Xiang Zhou, Huanhuan Zhu
exaly   +4 more sources

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Transcriptome wide association studies: general framework and methods

Quantitative Biology, 2021
BackgroundGenome‐wide association studies (GWAS) have succeeded in identifying tens of thousands of genetic variants associated with complex human traits during the past decade, however, they are still hampered by limited statistical power and difficulties in biological interpretation.
Yuhan Xie, Nayang Shan, Hongyu Zhao 0003, Lin Hou   +3 more
openaire   +1 more source