scholarly journals Personalized medicine in hepatitis C: From genome-wide association studies to clinical practice

Hepatology ◽  
2010 ◽  
Vol 51 (6) ◽  
pp. 2223-2225
Author(s):  
Hermann E. Wasmuth ◽  
Ralf Weiskirchen
Keyword(s):  
Clinical Practice ◽  
Hepatitis C ◽  
Personalized Medicine ◽  
Association Studies ◽  
Genome Wide Association ◽  
Genome Wide Association Studies ◽  
Genome Wide

scholarly journals SAIGE-BRUSH: an efficient, user-friendly and low cost cloud implementation for genome-wide association studies

2021 ◽  
Author(s):  
Tonya M Brunetti ◽  
Nikita Pozdeyev ◽  
Michelle Daya ◽  
Kathleen C Barnes ◽  
Nicholas Rafaels ◽  
...  
Keyword(s):  
Personalized Medicine ◽  
Data Collection ◽  
Association Studies ◽  
Low Cost ◽  
Genome Wide Association ◽  
Data Sets ◽  
Genome Wide Association Studies ◽  
Genome Wide ◽  
User Friendly ◽  
Cloud Implementation

SAIGE-Biobank Re-Usable SAIGE Helper (SAIGE-BRUSH) allows users with little computational expertise to utilize SAIGE for GWAS with parallelization and data collection on biobank data sets. This implementation requires no installation and has additional features not programmed within the original SAIGE framework, such as concurrency, reproducibility, reusability, scalability, association analysis results filtering and output plots. This is all achieved without writing any code from the user. This implementation is currently being utilized by the Biobank at the Colorado Center for Personalized Medicine (CCPM) on Google Cloud but is flexible for a number of architectures available to genetic analysts. Availability: This open source implementation is freely available at https://github.com/tbrunetti/SAIGE-BRUSH and is licensed under the MIT License. Contact: Chris Gignoux at [email protected] & Nick Rafaels at [email protected] Supplemental Material: For detailed user documentation, please visit https://saige-brush.readthedocs.io/en/latest/

Do genome-wide association scans have potential for translation?

2012 ◽  
Vol 50 (2) ◽  
Author(s):  
Margarida C. Lopes ◽  
Eleftheria Zeggini ◽  
Kalliope Panoutsopoulou
Keyword(s):  
Clinical Practice ◽  
Association Studies ◽  
Complex Diseases ◽  
Genome Wide Association ◽  
Response To Treatment ◽  
Genome Wide Association Studies ◽  
Novel Treatments ◽  
Common Diseases ◽  
Genome Wide

AbstractThe success of genome-wide association studies (GWAS) in identifying replicating associations has greatly contributed to understanding of the genetic aetiology of complex diseases. This review discusses and provides examples of the potential of GWAS findings to be translated into clinical practice, i.e., diagnosis, prediction, prognosis, novel treatments and response to treatment of common diseases. The biological insights afforded by newly-identified robust associations represent the largest, albeit indirect, translational contribution of GWAS.

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