Genome-Wide Association Studies (GWAS)

It is my distinct honour and privilege to welcome you to the Journal of Theoretical and Computational Science.

The Journal of Theoretical and Computational Science aims to spread knowledge and promote discussion through the publication of peer-reviewed, high quality research papers on all topics related to Modern Scientific Techniques. The open access journal is published by Longdom Publishing who hosts open access peer-reviewed journals as well as organizes conferences that hosts the work of researchers in a manner that exemplifies the highest standards in research integrity.

A genome-wide association study (GWAS) is an approach used in genetics research to associate specific genetic variations with particular diseases. The method involves scanning the genomes from many different people and looking for genetic markers that can be used to predict the presence of a disease. Once such genetic markers are identified, they can be used to understand how genes contribute to the disease and develop better prevention and treatment strategies.

GWAS, or Genome-Wide Association Studies, are responsible for the deluge of discoveries in terms of the genetic risk factors for common disease that have been pouring out of research labs recently. What you do for a genome-wide association study is find a lot of people who have the disease, a lot of people who don't, and who are otherwise well matched. And then, searching across the entire genome using SNPs, you try to find a place where there is a consistent difference. And if you're successful--and [you've] got to be really careful about the statistics here, so that you don't jump on a lot of false positives--it allows you to zero in on a place in the genome that must be involved in disease risk without having to guess ahead of time what kind of gene you're going to find.

We always encourage your research works under the scope of our Journal of Theoretical and Computational Science.

With regards,

Clara

Managing Editor

Journal of Theoretical and Computational Science

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