Results 61 to 70 of about 7,025 (165)

Potential Functions and Causal Associations of GNLY in Primary Open-Angle Glaucoma: Integration of Blood-Derived Proteome, Transcriptome, and Experimental Verification

Journal of Inflammation Research
Dangdang Wang,1,2,* Yanyu Pu,1,2,* Xi Gao,1,2 Lihong Zeng,1,2 Hong Li1,2 1Department of Ophthalmology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People’s Republic of China; 2Chongqing Key Laboratory for the ...
Wang D, Pu Y, Gao X, Zeng L, Li H
doaj  

TWAS data

, 2021
Nasir Mirza
openalex   +1 more source

Expression- and splicing-based multi-tissue transcriptome-wide association studies identified multiple genes for breast cancer by estrogen-receptor status

Breast Cancer Research
Background Although several transcriptome-wide association studies (TWASs) have been performed to identify genes associated with overall breast cancer (BC) risk, only a few TWAS have explored the differences in estrogen receptor-positive (ER+) and ...
Julian C. McClellan, James L. Li, Guimin Gao, Dezheng Huo   +3 more
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THE KNOWLEDGE OF FOREST CONSERVATION ATTITUDES AND BEHAVIORS IN ELEMENTARY SCHOOL STUDENTS AROUND TWA PUNTI KAYU AREA IN PALEMBANG CITY SOUTH SUMATERA PROVINCE

, 2023
Ahwansah Putra, Asvic Helida, S.Hut Delfy Lensari   +2 more
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Bayesian Genome-wide TWAS method to leverage both cis- and trans- eQTL information through summary statistics [PDF]

, 2020
Justin M. Luningham, Junyu Chen, Shizhen Tang, Philip L. De Jager, David A. Bennett, Aron S Buchman, Jingjing Yang, Justin M. Luningham, Junyu Chen, Shizhen Tang, Philip L. De Jager, David A. Bennett, Aron S Buchman, Jingjing Yang   +13 more
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FABIO: TWAS fine-mapping to prioritize causal genes for binary traits.

PLoS Genetics
Transcriptome-wide association studies (TWAS) have emerged as a powerful tool for identifying gene-trait associations by integrating gene expression mapping studies with genome-wide association studies (GWAS). While most existing TWAS approaches focus on
Haihan Zhang, Kevin He, Zheng Li, Lam C Tsoi, Xiang Zhou   +4 more
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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
Randy L. Parrish, Aron S. Buchman, Shinya Tasaki, Yanling Wang, Denis Avey, Jishu Xu, Philip L. De Jager, David A. Bennett, Michael P. Epstein, Jingjing Yang   +9 more
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Uncovering causal gene-tissue pairs and variants through a multivariate TWAS controlling for infinitesimal effects

Nature Communications
Transcriptome-wide association studies (TWAS) are commonly used to prioritize causal genes underlying associations found in genome-wide association studies (GWAS) and have been extended to identify causal genes through multivariate TWAS methods. However,
Yihe Yang, Noah Lorincz-Comi, Xiaofeng Zhu   +2 more
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Total Wrist Arthroplasty—A Systematic Review of the Outcome, and an Introduction of FreeMove—An Approach to Improve TWA [PDF]

, 2022
Jörg Eschweiler, Jianzhang Li, Valentin Quack, Björn Rath, Alice Baroncini, Frank Hildebrand, Filippo Migliorini   +6 more
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A genetic study to identify pathogenic mechanisms and drug targets for benign prostatic hyperplasia: a multi-omics Mendelian randomization study

Scientific Reports
Benign prostatic hyperplasia (BPH) as a common geriatric disease in urology, the incidence and prevalence are rapidly increasing with the aging society, prompting an urgent need for effective prevention and treatment of BPH.
Bohan Liu, Xinyi Wang, Zerui Yang, Zhaofa Yin, Cai Tang, Yushi He, Qi Ling, Zhongli Huang, Shijian Feng   +8 more
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