An integrated phenomic approach to multivariate allelic association.
about
Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry CohortsThe National Longitudinal Study of Adolescent Health (Add Health) sibling pairs dataGradient Boosting as a SNP Filter: an Evaluation Using Simulated and Hair Morphology Data.Do our "big data" in genetic analysis need to get bigger?Multivariate Gene-Based Association Test on Family Data in MGAS.Phenotypic complexity, measurement bias, and poor phenotypic resolution contribute to the missing heritability problem in genetic association studies.Genetic association in multivariate phenotypic data: power in five models.A general approach to testing for pleiotropy with rare and common variantsNeurocognitive phenotypes and genetic dissection of disorders of brain and behavior.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.MultiPhen: joint model of multiple phenotypes can increase discovery in GWAS.Influence of candidate genes on attention problems in children: a longitudinal studyTATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies.Anxiety and depression in children and adults: influence of serotonergic and neurotrophic genes?A comparison of multivariate genome-wide association methods.A framework for structural equation models in general pedigrees.Strategies for characterizing complex phenotypes and environments: general and specific family environmental predictors of young adult tobacco dependence, alcohol use disorder, and co-occurring problems.MGAS: a powerful tool for multivariate gene-based genome-wide association analysis.Association Tests of Multiple Phenotypes: ATeMP.Psychometric precision in phenotype definition is a useful step in molecular genetic investigation of psychiatric disordersBringing a developmental perspective to anxiety geneticsA latent modeling approach to genotype-phenotype relationships: maternal problem behavior clusters, prenatal smoking, and MAOA genotype.The Brisbane Longitudinal Twin Study: Pathways to Cannabis Use, Abuse, and Dependence project-current status, preliminary results, and future directions.Heritability of Behavioral Problems in 7-Year Olds Based on Shared and Unique Aspects of Parental Views.Cohort Profile: Nausea and vomiting during pregnancy genetics consortium (NVP Genetics Consortium).GW-SEM: A Statistical Package to Conduct Genome-Wide Structural Equation Modeling.Latent classiness and other mixtures.Genetic and environmental stability of intelligence in childhood and adolescence.A systems analysis of age-related changes in some cardiac aging traits.
P2860
Q30316113-5DDA3BEE-E03E-4680-B85A-161956866F3BQ30581126-81089A0B-4D9A-44B9-8E96-86856DBCDA3CQ30729547-AB045F3A-72AF-44DC-901A-C16DF67D31EDQ30868796-932C3AF2-3A4C-4751-B3E7-80153CAECBFCQ31069263-FAAAE11F-B6A4-420B-8373-77169E69C4E5Q33750178-97EDD7CE-3677-4F30-8C51-7B7D2AE171DBQ33766343-592536B6-714A-450E-ACDF-778322F82A04Q33803030-0E9DF679-CB3B-4C1D-8614-281155D89255Q34009035-43149DC6-90A3-4485-AC04-A1B6948DFEFFQ34212985-37211827-FB7D-4635-9001-2BC9CD88D795Q34221872-7F1BDE30-AD09-4964-B4F8-AF5AD037506CQ34261514-C2923FEE-9AED-4E70-A286-AE64A27523AAQ34533652-86923CC0-F41B-4FCE-822E-85C385995B6BQ34566333-218A4C6C-7ACB-434E-8768-DB78468BE14EQ35151755-B29234B6-E2E9-40B8-9510-15B3F258A1BBQ35157236-A7ACE147-0DC8-45EE-A194-923AF4065E12Q35187640-F927028B-F465-4489-91F5-4E786FBC7C14Q35230724-29227128-489A-491D-8C22-C37D68FE52C8Q35246365-2A449F51-86E4-4E43-A888-6B84B2C88004Q35812117-CBAA6C74-F864-4DD6-8FBB-C5C60F6D1A8CQ35813185-A77B7675-F234-4CB2-B9D7-B5CBC91448ECQ37040871-46370B99-BBC2-4FE5-A15D-F38371F8860CQ37074032-DE84F172-3F24-4527-9B8B-77792F7C16F5Q37247105-921131AF-161B-4000-B35C-5D5D5D9ED1FCQ37639603-B1583299-7B08-4920-BF89-279FCA37E257Q38409457-558BE284-8AEB-417A-A3C1-08C0E1949F24Q38904425-B9B75261-2319-4E8F-86C9-610DF2E1B4A1Q39260530-3D0A1075-4903-41F6-8F8A-BC70DE7C680EQ50664020-0D127EF4-F9CA-4961-9909-28FB097711FAQ50702939-C086B8CD-C5F3-4863-9DD8-96F05B097455
P2860
An integrated phenomic approach to multivariate allelic association.
description
2009 nî lūn-bûn
@nan
2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
An integrated phenomic approach to multivariate allelic association.
@ast
An integrated phenomic approach to multivariate allelic association.
@en
type
label
An integrated phenomic approach to multivariate allelic association.
@ast
An integrated phenomic approach to multivariate allelic association.
@en
prefLabel
An integrated phenomic approach to multivariate allelic association.
@ast
An integrated phenomic approach to multivariate allelic association.
@en
P2860
P356
P1476
An integrated phenomic approach to multivariate allelic association.
@en
P2093
Michael Churton Neale
P2860
P2888
P304
P356
10.1038/EJHG.2009.133
P577
2009-08-26T00:00:00Z