Results 61 to 70 of about 41,997,714 (232)

Transcriptome-wide association study uncovers the role of essential genes in anthracycline-induced cardiotoxicity

, 2021
Anthracyclines are highly effective chemotherapeutic agents; however, their clinical utility is limited by severe anthracycline-induced cardiotoxicity (ACT).
Wright, Galen E. B., Schneider, Bryan P., Gunaretnam, Erandika P., Shen, Fei, Ross, Colin J. D., Hasbullah, Jafar S., Bhavsar, Amit P., Scott, Erika N., Carleton, Bruce C., Miao, Fudan, Drögemöller, Britt I., Bruce C. Carleton, Fudan Miao, Erandika P. Gunaretnam, Britt I. Drögemöller, Erika N. Scott, Jafar S. Hasbullah, Fei Shen, Amit P. Bhavsar, Bryan P. Schneider, Galen E. B. Wright, Colin J. D. Ross   +21 more
core   +1 more source

Integrating transcriptome-wide study and mRNA expression profiles yields novel insights into the biological mechanism of chondropathies

Arthritis Research & Therapy, 2019
Background Chondropathies are a group of cartilage diseases, which share some common pathogenetic features. The etiology of chondropathies is still largely obscure now.
Ping Li, Yujie Ning, Xiong Guo, Yan Wen, Bolun Cheng, Mei Ma, Lu Zhang, Shiqiang Cheng, Sen Wang, Feng Zhang   +9 more
doaj   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Abstract 1321: Transcriptome-wide association study of prostate cancer risk

, 2017
Though more than 150 single nucleotide polymorphisms (SNPs) associated with prostate cancer have been identified through GWAS, we still do not understand the functional consequences of common genetic variation in this disease.
Kathryn L. Penney, Maxine Chen, null null, Peter Kraft, Alexander Gusev, Massimo Loda, Lorelei A. Mucci, Meir J. Stampfer   +7 more
core   +1 more source

Transcriptome-wide association study of coronary artery disease identifies novel susceptibility genes [PDF]

, 2022
The majority of risk loci identified by genome-wide association studies (GWAS) are in non-coding regions, hampering their functional interpretation. Instead, transcriptome-wide association studies (TWAS) identify gene-trait associations, which can be ...
Ma, Angela, Kessler, Thorsten, Li, Ling, Pang, Shichao, Güldener, Ulrich, Ermel, Raili, Sukhavasi, Katyayani, Schunkert, Heribert, Steiner, Andrea, Hao, Ke, Pan, Calvin, Ruusalepp, Arno, Chen, Zhifen, Lusis, Aldons, Kovacic, Jason, Li, Shuangyue, Erdmann, Jeanette, von Scheidt, Moritz, Gagneur, Julien, Björkegren, Johan, Koplev, Simon, Chen, Z, Li, L, Hao, K, von, Scheidt M, Li, Ling ; Chen, Zhifen ; von Scheidt, Moritz ; Li, Shuangyue ; Steiner, Andrea ; Güldener, Ulrich ; Koplev, Simon ; Ma, Angela ; Hao, Ke ; Pan, Calvin ; Lusis, Aldons J. ; Pang, Shichao ; Kessler, Thorsten ; Ermel, Raili ; Sukhavasi, Katyayani ; Ruusalepp, Arno ; Gagneur, Julien ; Erdmann, Jeanette ; Kovacic, Jason C. ; Björkegren, Johan L. M. ; Schunkert, Heribert, Ma, A, Koplev, S, Steiner, A, Gueldener, U, Li, S, Pan, C   +31 more
core   +1 more source

Advances in the genetics of myasthenia gravis: insights from cutting-edge neuroscience research

Frontiers in Medicine
Myasthenia gravis (MG) is an autoimmune disorder involving complex interactions between genetic and environmental factors. Genome-wide association studies (GWAS), transcriptome-wide association studies (TWAS), and other methods have identified multiple ...
Zheng Yixian, Wang Hai, Liu Xiuying, Yan Jichun   +3 more
doaj   +1 more source

A Genome-Wide Integrative Association Study of DNA Methylation and Gene Expression Data and Later Life Cognitive Functioning in Monozygotic Twins

Frontiers in Neuroscience, 2020
Monozygotic twins are genetically identical but rarely phenotypically identical. Epigenetic and transcriptional variation could influence this phenotypic discordance.
Mette Soerensen, Mette Soerensen, Mette Soerensen, Dominika Marzena Hozakowska-Roszkowska, Dominika Marzena Hozakowska-Roszkowska, Marianne Nygaard, Marianne Nygaard, Martin J. Larsen, Martin J. Larsen, Veit Schwämmle, Kaare Christensen, Kaare Christensen, Kaare Christensen, Lene Christiansen, Lene Christiansen, Qihua Tan, Qihua Tan, Qihua Tan   +17 more
doaj   +1 more source

Using multi-tissue transcriptome-wide association study to identify candidate susceptibility genes for respiratory infectious diseases

Frontiers in Genetics, 2023
Objective: We explore the candidate susceptibility genes for influenza A virus (IAV), measles, rubella, and mumps and their underlying biological mechanisms.Methods: We downloaded the genome-wide association study summary data of four virus-specific ...
Xiaobo Zhu, Yixin Zou, Linna Jia, Xiangyu Ye, Yanzheng Zou, Junlan Tu, Juntong Li, Rongbin Yu, Sheng Yang, Peng Huang   +9 more
doaj   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap.

, 2011
Despite the success of genome-wide association studies in detecting novel disease variants, we are still far from a complete understanding of the mechanisms through which variants cause disease.
Junming Yin (5363774), Ross E. Curtis (574088), Eric P Xing (27712), Peter Kinnaird (5363987)   +3 more
core   +1 more source