ArticleEuropean journal of human genetics : EJHG2010
An integrated phenomic approach to multivariate allelic association.
Article in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association of the OPRM1 Variant rs1799971 (A118G) with Non-Specific Liability to Substance Dependence in a Collaborative de novo Meta-Analysis of European-Ancestry Cohorts.Behavior genetics · 2016Pooled it
- Pooled it
- Nordic OCD & Related Disorders Consortium: Rationale, design, and methods.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2020Article
- Powerful and Efficient Strategies for Genetic Association Testing of Symptom and Questionnaire Data in Psychiatric Genetic Studies.Scientific reports · 2019Article
- GW-SEM: A Statistical Package to Conduct Genome-Wide Structural Equation Modeling.Behavior genetics · 2017Article
- Cohort Profile: Nausea and vomiting during pregnancy genetics consortium (NVP Genetics Consortium).International journal of epidemiology · 2017Article
- Heritability of Behavioral Problems in 7-Year Olds Based on Shared and Unique Aspects of Parental Views.Behavior genetics · 2017Article
- A general approach to testing for pleiotropy with rare and common variants.Genetic epidemiology · 2017Article
- Psychometric precision in phenotype definition is a useful step in molecular genetic investigation of psychiatric disorders.Translational psychiatry · 2015Article
- MGAS: a powerful tool for multivariate gene-based genome-wide association analysis.Bioinformatics (Oxford, England) · 2015Article
- Association Tests of Multiple Phenotypes: ATeMP.PloS one · 2015Article
- Estimating and testing pleiotropy of single genetic variant for two quantitative traits.Genetic epidemiology · 2014Article
- Latent classiness and other mixtures.Behavior genetics · 2014Article
- Gradient Boosting as a SNP Filter: an Evaluation Using Simulated and Hair Morphology Data.Journal of data mining in genomics & proteomics · 2013Article
- The National Longitudinal Study of Adolescent Health (Add Health) sibling pairs data.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2013Article
- The Brisbane Longitudinal Twin Study: Pathways to Cannabis Use, Abuse, and Dependence project-current status, preliminary results, and future directions.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2013Article
- TATES: efficient multivariate genotype-phenotype analysis for genome-wide association studies.PLoS genetics · 2013Article
- Bringing a developmental perspective to anxiety genetics.Development and psychopathology · 2012Review
- A latent modeling approach to genotype-phenotype relationships: maternal problem behavior clusters, prenatal smoking, and MAOA genotype.Archives of women's mental health · 2012Article
- Coreferentiality: a new method for the hypothesis-based analysis of phenotypes characterized by multivariate data.PloS one · 2012Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The increased feasibility of genome-wide association has resulted in association becoming the primary method used to localize genetic variants that cause phenotypic variation. Much attention has been focused on the vast multiple testing problems arising from analyzing large numbers of single nucleotide polymorphisms. However, the inflation of experiment-wise type I error rates through testing numerous phenotypes has received less attention. Multivariate analyses can be used to detect both pleiotropic effects that influence a latent common factor, and monotropic effects that operate at a variable-specific levels, whilst controlling for non-independence between phenotypes. In this study, we present a maximum likelihood approach, which combines both latent and variable-specific tests and which may be used with either individual or family data. Simulation results indicate that in the presence of factor-level association, the combined multivariate (CMV) analysis approach performs well with a minimal loss of power as compared with a univariate analysis of a factor or sum score (SS). As the deviation between the pattern of allelic effects and the factor loadings increases, the power of univariate analyses of both factor and SSs decreases dramatically, whereas the power of the CMV approach is maintained. We show the utility of the approach by examining the association between dopamine receptor D2 TaqIA and the initiation of marijuana, tranquilizers and stimulants in data from the Add Health Study. Perl scripts that takes ped and dat files as input and produces Mx scripts and data for running the CMV approach can be downloaded from www.vipbg.vcu.edu/~sarahme/WriteMx.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.