Results 341 to 350 of about 345,542 (371)

Transcriptome‐Wide Association Studies (TWAS): Methodologies, Applications, and Challenges

Current Protocols
AbstractTranscriptome‐wide association study (TWAS) methodologies aim to identify genetic effects on phenotypes through the mediation of gene transcription. In TWAS, in silico models of gene expression are trained as functions of genetic variants and then applied to genome‐wide association study (GWAS) data.
Patrick Evans, Taylor Nagai, Anuar Konkashbaev, Dan Zhou, Ela W. Knapik, Eric R. Gamazon   +5 more
openaire   +2 more sources

Transcriptome-wide Association Study Identifies Genetically Dysregulated Genes in Diabetic Neuropathy

Combinatorial Chemistry & High Throughput Screening, 2021
Background: Complications are the main cause of the disease burden of diabetes. Genes determining the development and progression of diabetic complications remain to be identified. Diabetic neuropathy is the most common and debilitating complication and mainly affects the nerves of legs and feet.
Danfeng, Lan, Hong-Yan, Jiang, Xiaoyang, Su, Yan, Zhao, Sicheng, Du, Ying, Li, Rui, Bi, Deng-Feng, Zhang, Qiuping, Yang   +8 more
openaire   +2 more sources

TRANSCRIPTOME-WIDE ASSOCIATION STUDIES: CHALLENGES, SOLUTIONS, AND FUTURE DIRECTIONS

2021
Genome-wide association studies (GWAS) have identified hundreds of thousands ofvariants associated with a broad range of complex traits. However, the biological mechanismsunderlying these associations remain largely unknown. Transcriptome-wide associationstudies (TWAS) are a gene-based method which can provide insight into these mechanismsby leveraging
openaire   +1 more source

Multiancestry Transcriptome-Wide Association Study Identifies Candidate Genes Associated with Hepatoblastoma

Cancer Epidemiology, Biomarkers & Prevention
Abstract Background: Hepatoblastoma (HB) is a rare embryonal liver tumor, with an increasing global incidence that underscores the need to understand its genetic etiology. Methods: Utilizing the ancestry-matched ...
Tiankai Xie, Josey C. Sorenson, Logan G. Spector, Nathan Pankratz, R. Stephanie Huang, Eiso Hiyama, Jenny N. Poynter, Gail E. Tomlinson, Carolina Armengol, Roland Kappler, Michael E. Scheurer, Eve Roman, Aurora Castellano, Michael A. Grotzer, David S. Ziegler, Saonli Basu, Erin L. Marcotte, Tianzhong Yang   +17 more
openaire   +1 more source

Older adult participation in cancer clinical trials: A systematic review of barriers and interventions

Ca-A Cancer Journal for Clinicians, 2021
Mina S Sedrak, Rachel A Freedman, Aminah Jatoi   +2 more
exaly  

Intermittent fasting in the prevention and treatment of cancer

Ca-A Cancer Journal for Clinicians, 2021
Katherine Clifton, Luigi Fontana, Lindsay L Peterson, Mscr   +2 more
exaly  

Conditional transcriptome-wide association study for fine-mapping candidate causal genes

Nature Genetics
Lu Liu, Ran Yan, Ping Guo, Jiadong Ji, Weiming Gong, Fuzhong Xue, Zhongshang Yuan, Xiang Zhou   +7 more
semanticscholar   +1 more source

An overview of real‐world data sources for oncology and considerations for research

Ca-A Cancer Journal for Clinicians, 2022
Lynne Penberthy, Donna R Rivera, Jennifer L Lund, Msph   +2 more
exaly  

A unified Bayesian approach to transcriptome-wide association study

AbstractThe transcriptome-wide association study (TWAS) has discovered novel gene-trait associations that offer essential biological interpretations. TWAS integrates reference panel transcriptome data and genome-wide association study (GWAS) data. In standard TWAS methods, a prediction model for gene expression is built utilizing the transcriptome data,
Arnab Kumar Khan, Tanushree Haldar, Arunabha Majumdar   +2 more
openaire   +1 more source

Social determinants of health and US cancer screening interventions: A systematic review

Ca-A Cancer Journal for Clinicians, 2023
Ariella R Korn
exaly