Analyze multivariate phenotypes in genetic association studies by combining univariate association tests.
about
Genome-wide analyses of borderline personality featuresA subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traitsApplication of computational methods in genetic study of inflammatory bowel diseaseGenome-wide meta-analyses of plasma renin activity and concentration reveal association with the kininogen 1 and prekallikrein genesMeta-analysis of correlated traits via summary statistics from GWASs with an application in hypertensionPleiotropy in complex traits: challenges and strategiesThe Genetics of Stress-Related Disorders: PTSD, Depression, and Anxiety DisordersGenome-wide association study meta-analysis of European and Asian-ancestry samples identifies three novel loci associated with bipolar disorder.Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies.Testing for association with multiple traits in generalized estimation equations, with application to neuroimaging data.Discovery of phenotypic networks from genotypic association studies with application to obesity.A general approach to testing for pleiotropy with rare and common variantsIdentification of genetic variants associated with alternative splicing using sQTLseekeR.Genome-wide association study of major depressive disorder: new results, meta-analysis, and lessons learnedEvidence-based psychiatric genetics, AKA the false dichotomy between common and rare variant hypotheses.Estimating and testing pleiotropy of single genetic variant for two quantitative traits.Coreferentiality: a new method for the hypothesis-based analysis of phenotypes characterized by multivariate data.Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs.MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.Projection regression models for multivariate imaging phenotype.Gene × environment interaction by a longitudinal epigenome-wide association study (LEWAS) overcomes limitations of genome-wide association study (GWAS)A methodology for multivariate phenotype-based genome-wide association studies to mine pleiotropic genesCanonical correlation analysis for gene-based pleiotropy discoveryGenome-wide pathway association studies of multiple correlated quantitative phenotypes using principle component analyses.Novel genetic associations with serum level metabolites identified by phenotype set enrichment analyses.PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies.Genomic inflation factors under polygenic inheritanceA comparison of multivariate genome-wide association methods.Testing genetic association by regressing genotype over multiple phenotypes.Association mapping of blood pressure levels in a longitudinal framework using binomial regression.Moving toward System Genetics through Multiple Trait Analysis in Genome-Wide Association Studies.Statistical methods for association tests of multiple continuous traits in genome-wide association studies.Integrating binary traits with quantitative phenotypes for association mapping of multivariate phenotypes.Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test.Flexible semiparametric analysis of longitudinal genetic studies by reduced rank smoothing.Dissimilarity based Partial Least Squares (DPLS) for genomic prediction from SNPs.Genome-wide analysis of epistasis in body mass index using multiple human populations.The Central Role of KNG1 Gene as a Genetic Determinant of Coagulation Pathway-Related Traits: Exploring Metaphenotypes.Sequence Kernel Association Test of Multiple Continuous Phenotypes.r2VIM: A new variable selection method for random forests in genome-wide association studies.
P2860
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P2860
Analyze multivariate phenotypes in genetic association studies by combining univariate association tests.
description
2010 nî lūn-bûn
@nan
2010 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Analyze multivariate phenotype ...... univariate association tests.
@ast
Analyze multivariate phenotype ...... univariate association tests.
@en
Analyze multivariate phenotype ...... univariate association tests.
@nl
type
label
Analyze multivariate phenotype ...... univariate association tests.
@ast
Analyze multivariate phenotype ...... univariate association tests.
@en
Analyze multivariate phenotype ...... univariate association tests.
@nl
prefLabel
Analyze multivariate phenotype ...... univariate association tests.
@ast
Analyze multivariate phenotype ...... univariate association tests.
@en
Analyze multivariate phenotype ...... univariate association tests.
@nl
P2093
P2860
P356
P1433
P1476
Analyze multivariate phenotype ...... univariate association tests.
@en
P2093
Caroline S Fox
Chao-Yu Guo
Hongsheng Wu
P2860
P304
P356
10.1002/GEPI.20497
P50
P577
2010-07-01T00:00:00Z