FABIO: TWAS fine-mapping to prioritize causal genes for binary traits. by Haihan Zhang, Kevin He, Zheng Li, Lam C Tsoi, Xiang Zhou

“…While most existing TWAS approaches focus on marginal analyses through examining one gene at a time, recent developments in TWAS fine-mapping methods enable the joint modeling of multiple genes to refine the identification of potentially causal ones. …”
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Integrated TWAS, GWAS, and RNAseq results identify candidate genes associated with reproductive traits in cows by Sevda Hosseinzadeh, Seyed Abbas Rafat, Lingzhao Fang

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A cross-tissue transcriptome-wide association study identifies new susceptibility genes for benign prostatic hyperplasia by Li Wang, Si-yu Chen, Jian-wei Yang, Kang-yu Wang, Kun-peng Li, Shun Wan, Xiao-ran Li, Li Yang

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Transcriptome-wide association study identifies genes associated with bladder cancer risk by Siting Li, Jiang Gui, Margaret R. Karagas, Michael N. Passarelli

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Potential Functions and Causal Associations of GNLY in Primary Open-Angle Glaucoma: Integration of Blood-Derived Proteome, Transcriptome, and Experimental Verification by Wang D, Pu Y, Gao X, Zeng L, Li H

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Integrative bioinformatics approach identifies novel drug targets for hyperaldosteronism, with a focus on SHMT1 as a promising therapeutic candidate by Minyue Jia, Liya Lin, Hanxiao Yu, Zhichao Dong, Xin Pan, Xiaoxiao Song

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A cross-tissue transcriptome-wide association study identified susceptibility genes for age-related macular degeneration by Hongfan Yang, Haofei Huang, Kunlin Pu

Subjects: “…TWAS…”
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Mapping dynamic regulation of gene expression using single-cell transcriptomics and application to complex disease genetics by Hanna Abe, Phillip Lin, Dan Zhou, Douglas M. Ruderfer, Eric R. Gamazon

Subjects: “…TWAS…”
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MAAT: a new nonparametric Bayesian framework for incorporating multiple functional annotations in transcriptome-wide association studies by Han Wang, Xiang Li, Teng Li, Zhe Li, Pak Chung Sham, Yan Dora Zhang

Subjects: “…Transcriptome-wide association studies (TWAS)…”
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From awareness to action: investigating the impact of big-five teamwork model awareness on rationing of nursing care and patient-centered care by Heba Mohamed Al-Anwer Ali Ashour, Ebtsam Aly Omer Abou Hashish, Nadia Hassan Ali Awad

“…Results The Big 5 Teamwork Awareness Sessions (Big 5TWAS) demonstrated a significant impact on the study variables. …”
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Genome-Wide Association and Transcriptome-Wide Association Studies Identify Novel Susceptibility Genes Contributing to Colorectal Cancer by Ruimin Yin, Binbin Song, Jingjing Wang, Chaodan Shao, Yufen Xu, HongGang Jiang

“…Transcriptome-wide association studies (TWAS) integrate summary statistics from CRC genome-wide association studies (GWAS) with gene expression data to prioritize these GWAS findings and uncover additional gene-trait correlations. …”
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Advances in the genetics of myasthenia gravis: insights from cutting-edge neuroscience research by Zheng Yixian, Wang Hai, Liu Xiuying, Yan Jichun

“…Genome-wide association studies (GWAS), transcriptome-wide association studies (TWAS), and other methods have identified multiple novel susceptibility loci and genes, providing crucial insights into the genetic etiology of MG. …”
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Analysis of a No Equilibrium Linear Resistive-Capacitive-Inductance Shunted Junction Model, Dynamics, Synchronization, and Application to Digital Cryptography in Its Fractional-Ord... by Sifeu Takougang Kingni, Gaetan Fautso Kuiate, Romanic Kengne, Robert Tchitnga, Paul Woafo

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Microstructural Characterization and Wear Properties of Fe-Based Amorphous-Crystalline Coating Deposited by Twin Wire Arc Spraying by Ana Arizmendi-Morquecho, Araceli Campa-Castilla, C. Leyva-Porras, Josué Almicar Aguilar Martinez, Gregorio Vargas Gutiérrez, Karla Judith Moreno Bello, L. López López

“…Twin wire arc spraying (TWAS) was used to produce an amorphous crystalline Fe-based coating on AISI 1018 steel substrate using a commercial powder (140MXC) in order to improve microhardness and wear properties. …”
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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

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