MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS

The genome-wide association study (GWAS) approach has discovered hundreds of genetic variants associated with diseases and quantitative traits. However, despite clinical overlap and statistical correlation between many phenotypes, GWAS are generally performed one-phenotype-at-a-time. Here we compare...

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Veröffentlicht in:	PloS one 2012-05, Vol.7 (5), p.e34861-e34861
Hauptverfasser:	O'Reilly, Paul F, Hoggart, Clive J, Pomyen, Yotsawat, Calboli, Federico C F, Elliott, Paul, Jarvelin, Marjo-Riitta, Coin, Lachlan J M
Format:	Artikel
Sprache:	eng
Schlagworte:	Analysis Autoimmune diseases Biology Computer Science Computer simulation Correlation Correlation analysis Disease Epidemiology Genetic aspects Genetic diversity Genetic variance Genome-wide association studies Genome-Wide Association Study - methods Genomes Genomics Genotypes Lipids Mathematical functions Metabolism Metabolites Methods Models, Theoretical Multivariate analysis Normal distribution Phenotype Phenotypes Ratios Regression analysis Simulation Single-nucleotide polymorphism Statistical analysis Statistical correlation Studies Type 2 diabetes
Online-Zugang:	Volltext
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