Software for detecting gene-gene interactions in genome wide association studies
Autor: | Zuwairie Ibrahim, Agustin Krisna Wardani, Safaai Deris, Bambang Susilo, Abdul Hakim Mohamed Salleh, Mohd Saberi Mohamad, Mei Jing Liew, Yusuf Hendrawan, Ching Lee Koo |
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Rok vydání: | 2015 |
Předmět: |
Genetics
business.industry Biomedical Engineering Bioengineering Single-nucleotide polymorphism Genome-wide association study Computational biology Biology Applied Microbiology and Biotechnology System requirements ComputingMethodologies_PATTERNRECOGNITION Software Epistasis business Gene Biotechnology Genetic association |
Zdroj: | Biotechnology and Bioprocess Engineering. 20:662-676 |
ISSN: | 1976-3816 1226-8372 |
DOI: | 10.1007/s12257-015-0064-6 |
Popis: | Nowadays, genome-wide association studies (GWAS) have offered hundreds of thousands of single nucleotide polymorphism (SNPs). The studies of epistatic interactions of SNPs (denoted as gene-gene interactions or epitasis) are particularly important to unravel the genetic basis to complex multifactorial diseases. However, the greatest challenging and unsolved issue in GWAS is to discover epistatic interactions among large amount of SNPs data. Besides, traditional statistical approaches cannot solve such epistasis phenomenon due to possessing high dimensional data and the occurring of multiple polymorphisms. Hence, various kinds of promising software have been extensively investigated in order to solve these problems. This paper gives an overview on the software that had been used to detect gene-gene interactions that bring the effect on common and multifactorial diseases. Furthermore, sources, link, and functions description to the software are provided in this paper as well. Lastly, this paper presents the language implemented, system requirements, strengths, and weaknesses of software that had been widely used in detecting epistatic interactions in complex human diseases. |
Databáze: | OpenAIRE |
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