MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
about
A genome-wide association study identifies five loci influencing facial morphology in EuropeansDetermining Which Phenotypes Underlie a Pleiotropic SignalMeta-analysis of correlated traits via summary statistics from GWASs with an application in hypertensionPleiotropy in complex traits: challenges and strategiesAssociation between Stress Response Genes and Features of Diurnal Cortisol Curves in the Multi-Ethnic Study of Atherosclerosis: A New Multi-Phenotype Approach for Gene-Based Association TestsPleiotropy analysis of quantitative traits at gene level by multivariate functional linear modelsPopulation genomics of cardiometabolic traits: design of the University College London-London School of Hygiene and Tropical Medicine-Edinburgh-Bristol (UCLEB) ConsortiumGenetic Effects on the Correlation Structure of CVD Risk Factors: Exome-Wide Data From a Ghanaian Population.A genome-wide association study identifies multiple loci for variation in human ear morphologyTesting for association with multiple traits in generalized estimation equations, with application to neuroimaging data.Using a Bayesian latent variable approach to detect pleiotropy in the Genetic Analysis Workshop 18 dataFrom big data analysis to personalized medicine for all: challenges and opportunitiesEfficient and Accurate Multiple-Phenotype Regression Method for High Dimensional Data Considering Population Structure.Environmental risk score as a new tool to examine multi-pollutants in epidemiologic research: an example from the NHANES study using serum lipid levels.Assessing multivariate gene-metabolome associations with rare variants using Bayesian reduced rank regression.Multiple quantitative trait analysis using bayesian networks.Multivariate dimensionality reduction approaches to identify gene-gene and gene-environment interactions underlying multiple complex traits.Canonical correlation analysis for gene-based pleiotropy discoveryA 2-step strategy for detecting pleiotropic effects on multiple longitudinal traits.Genome-wide association study of CSF levels of 59 alzheimer's disease candidate proteins: significant associations with proteins involved in amyloid processing and inflammationEfficient multivariate linear mixed model algorithms for genome-wide association studiesNocturnal asthma and the importance of race/ethnicity and genetic ancestryTATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies.On the analysis of a repeated measure design in genome-wide association analysis.A unified framework for association analysis with multiple related phenotypes.Family-based association analysis: a fast and efficient method of multivariate association analysis with multiple variants.Analytical methods in untargeted metabolomics: state of the art in 2015.A comparison of multivariate genome-wide association methods.MGAS: a powerful tool for multivariate gene-based genome-wide association analysis.Testing genetic association by regressing genotype over multiple phenotypes.A multivariate genome-wide association analysis of 10 LDL subfractions, and their response to statin treatment, in 1868 CaucasiansStatistical methods for association tests of multiple continuous traits in genome-wide association studies.Association Tests of Multiple Phenotypes: ATeMP.Integrating Multiple Correlated Phenotypes for Genetic Association Analysis by Maximizing HeritabilityMissense Variant in MAPK Inactivator PTPN5 Is Associated with Decreased Severity of Post-Burn Hypertrophic ScarringJoint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test.Accelerating Gene Discovery by Phenotyping Whole-Genome Sequenced Multi-mutation Strains and Using the Sequence Kernel Association Test (SKAT)A small-sample multivariate kernel machine test for microbiome association studies.SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes.Explaining additional genetic variation in complex traits
P2860
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P2860
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@ast
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@en
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@nl
type
label
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@ast
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@en
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@nl
prefLabel
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@ast
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@en
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@nl
P2093
P2860
P50
P1433
P1476
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.
@en
P2093
Clive J Hoggart
Federico C F Calboli
Lachlan J M Coin
P2860
P304
P356
10.1371/JOURNAL.PONE.0034861
P407
P577
2012-05-02T00:00:00Z