Particle swarm optimization algorithm for analyzing SNP–SNP interaction of renin-angiotensin system genes against hypertension

Most non-significant individual single nucleotide polymorphisms (SNPs) were undiscovered in hypertension association studies. Their possible SNP–SNP interactions were usually ignored and leaded to missing heritability. In present study, we proposed a particle swarm optimization (PSO) algorithm to an...

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Bibliographic Details
Published in:	Molecular biology reports Vol. 40; no. 7; pp. 4227 - 4233
Main Authors:	Wu, Shyh-Jong, Chuang, Li-Yeh, Lin, Yu-Da, Ho, Wen-Hsien, Chiang, Fu-Tien, Yang, Cheng-Hong, Chang, Hsueh-Wei
Format:	Journal Article
Language:	English
Published:	Dordrecht Springer Netherlands 01.07.2013 Springer Nature B.V
Subjects:	Algorithms Angiogenesis Animal Anatomy Animal Biochemistry Atoms & subatomic particles barcoding Biomedical and Life Sciences Computational Biology - methods data collection Epistasis, Genetic genes Genetic Predisposition to Disease Genotype heritability Histology Humans Hypertension Hypertension - genetics Life Sciences Models, Biological Morphology Odds Ratio Optimization algorithms Polymorphism, Single Nucleotide renin-angiotensin system Renin-Angiotensin System - genetics Reproducibility of Results single nucleotide polymorphism Hypertension SNP interactions Single nucleotide polymorphism Renin-angiotensin system Particle swarm optimization
ISSN:	0301-4851, 1573-4978, 1573-4978
Online Access:	Get full text
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