Gene Set Analyses of Genome-Wide Association Studies on 49 Quantitative Traits Measured in a Single Genetic Epidemiology Dataset
Genomics & Informatics
;
: 135-141, 2013.
Artículo
en Inglés
| WPRIM
| ID: wpr-58523
ABSTRACT
Gene set analysis is a powerful tool for interpreting a genome-wide association study result and is gaining popularity these days. Comparison of the gene sets obtained for a variety of traits measured from a single genetic epidemiology dataset may give insights into the biological mechanisms underlying these traits. Based on the previously published single nucleotide polymorphism (SNP) genotype data on 8,842 individuals enrolled in the Korea Association Resource project, we performed a series of systematic genome-wide association analyses for 49 quantitative traits of basic epidemiological, anthropometric, or blood chemistry parameters. Each analysis result was subjected to subsequent gene set analyses based on Gene Ontology (GO) terms using gene set analysis software, GSA-SNP, identifying a set of GO terms significantly associated to each trait (pcorr < 0.05). Pairwise comparison of the traits in terms of the semantic similarity in their GO sets revealed surprising cases where phenotypically uncorrelated traits showed high similarity in terms of biological pathways. For example, the pH level was related to 7 other traits that showed low phenotypic correlations with it. A literature survey implies that these traits may be regulated partly by common pathways that involve neuronal or nerve systems.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Semántica
/
Epidemiología Molecular
/
Polimorfismo de Nucleótido Simple
/
Estudio de Asociación del Genoma Completo
/
Genotipo
/
Concentración de Iones de Hidrógeno
/
Corea (Geográfico)
/
Neuronas
Tipo de estudio:
Estudio de tamizaje
País/Región como asunto:
Asia
Idioma:
Inglés
Revista:
Genomics & Informatics
Año:
2013
Tipo del documento:
Artículo
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