Integrating Multiple Correlated Phenotypes for Genetic Association Analysis by Maximizing Heritability

scientific article published on 20 June 2015

Integrating Multiple Correlated Phenotypes for Genetic Association Analysis by Maximizing Heritability is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1159/000381641
P932PMC publication ID4508328
P698PubMed publication ID26111731

P50authorNan LairdQ6962218
Jin J ZhouQ85470504
P2093author name stringChristoph Lange
Edwin K Silverman
Michael H Cho
Sharon Lutz
P2860cites workSpirometric reference values from a sample of the general U.S. populationQ23915196
Genome-wide association study identifies five loci associated with lung functionQ24629653
Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary functionQ24633262
PLINK: a tool set for whole-genome association and population-based linkage analysesQ24677407
Principal components analysis corrects for stratification in genome-wide association studiesQ27860975
GCTA: a tool for genome-wide complex trait analysisQ29547216
Common SNPs explain a large proportion of the heritability for human heightQ29547221
Standardisation of spirometryQ29547365
Genome-wide association and large-scale follow up identifies 16 new loci influencing lung function.Q30427183
A genome-wide association study in chronic obstructive pulmonary disease (COPD): identification of two major susceptibility loci.Q33419815
Variants in FAM13A are associated with chronic obstructive pulmonary diseaseQ33687879
MMP12, lung function, and COPD in high-risk populationsQ33994495
A phenomics-based strategy identifies loci on APOC1, BRAP, and PLCG1 associated with metabolic syndrome phenotype domainsQ34055370
Genetic epidemiology of COPD (COPDGene) study designQ34074731
MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.Q34261514
Mendel: the Swiss army knife of genetic analysis programsQ34340820
Analysis of multiple phenotypes in genome-wide genetic mapping studiesQ34703292
A unified framework for association analysis with multiple related phenotypesQ34825206
Genomic inflation factors under polygenic inheritanceQ35108650
Penalized classification using Fisher's linear discriminantQ35738520
CHRNA3/5, IREB2, and ADCY2 are associated with severe chronic obstructive pulmonary disease in PolandQ36176931
A mixed-model approach for genome-wide association studies of correlated traits in structured populationsQ36204938
Estimation of pleiotropy between complex diseases using single-nucleotide polymorphism-derived genomic relationships and restricted maximum likelihoodQ36294045
Genome-wide association analysis for multiple continuous secondary phenotypesQ36817386
Heritability of chronic obstructive pulmonary disease and related phenotypes in smokersQ37304387
Maximizing the power of principal-component analysis of correlated phenotypes in genome-wide association studiesQ38205644
Genome screen for a combined bone phenotype using principal component analysis: the Framingham studyQ38518092
Population structure can inflate SNP-based heritability estimatesQ42803930
The 15q24/25 susceptibility variant for lung cancer and chronic obstructive pulmonary disease is associated with emphysemaQ43223136
A family-based association test for repeatedly measured quantitative traits adjusting for unknown environmental and/or polygenic effectsQ45300899
Pleiotropy and principal components of heritability combine to increase power for association analysisQ58047085
A principal-components approach based on heritability for combining phenotype informationQ74606032
[Polymorphism in promoter regions of matrix metalloproteinases (MMP1, MMP9, and MMP12) in chronic obstructive pulmonary disease patients]Q81623700
P433issue2
P921main subjectheritabilityQ1503548
P304page(s)93-104
P577publication date2015-06-20
P1433published inHuman HeredityQ15755116
P1476titleIntegrating Multiple Correlated Phenotypes for Genetic Association Analysis by Maximizing Heritability
P478volume79

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cites work (P2860)
Q91617572A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS
Q52313009A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.
Q39125717AraPheno: a public database for Arabidopsis thaliana phenotypes
Q91444729Assessing pleiotropy and mediation in genetic loci associated with chronic obstructive pulmonary disease
Q56985336Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits
Q37218478Imputing Phenotypes for Genome-wide Association Studies
Q35948043Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test
Q89186629Joint analysis of multiple phenotypes in association studies using allele-based clustering approach for non-normal distributions
Q90199040Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering
Q64964690Joint testing and false discovery rate control in high-dimensional multivariate regression.

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