ArticleJournal of the American Statistical Association2010
An Association Test for Multiple Traits Based on the Generalized Kendall's Tau.
Article in Journal of the American Statistical Association, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.
What it found
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The trial behind it
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
38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 59 citations in OpenAlex.
- Identification of pleiotropic loci underlying hip bone mineral density and trunk lean mass.Journal of human genetics · 2021Pooled it
- Three pleiotropic loci associated with bone mineral density and lean body mass.Molecular genetics and genomics : MGG · 2021Pooled it
- Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension.American journal of human genetics · 2015Pooled it
- Multiple phenotype association tests based on sliced inverse regression.BMC bioinformatics · 2024Article
- Article
- Modeling Hybrid Traits for Comorbidity and Genetic Studies of Alcohol and Nicotine Co-Dependence.The annals of applied statistics · 2018Article
- Conditional independence test by generalized Kendall's tau with generalized odds ratio.Statistical methods in medical research · 2018Article
- Heritability informed power optimization (HIPO) leads to enhanced detection of genetic associations across multiple traits.PLoS genetics · 2018Article
- Statistical methods to detect pleiotropy in human complex traits.Open biology · 2017Review
- A functional U-statistic method for association analysis of sequencing data.Genetic epidemiology · 2017Article
- Identifying pleiotropic genes in genome-wide association studies from related subjects using the linear mixed model and Fisher combination function.BMC bioinformatics · 2017Article
- A generalized association test based on U statistics.Bioinformatics (Oxford, England) · 2017Article
- SCOPA and META-SCOPA: software for the analysis and aggregation of genome-wide association studies of multiple correlated phenotypes.BMC bioinformatics · 2017Article
- Cross-Phenotype Association Analysis Using Summary Statistics from GWAS.Methods in molecular biology (Clifton, N.J.) · 2017Article
- Detecting Gene-Gene Interactions Associated with Multiple Complex Traits with U-Statistics.Current genomics · 2016Article
- A weighted U statistic for association analyses considering genetic heterogeneity.Statistics in medicine · 2016Article
- Utilizing mutual information for detecting rare and common variants associated with a categorical trait.PeerJ · 2016Article
- A nonparametric method to test for associations between rare variants and multiple traits.Genetics research · 2016Article
- Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.Genetics · 2015Article
- An Adaptive Association Test for Multiple Phenotypes with GWAS Summary Statistics.Genetic epidemiology · 2015Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
In many genetics studies, especially in the investigation of mental illness and behavioral disorders, it is common for researchers to collect multiple phenotypes to characterize the complex disease of interest. It may be advantageous to analyze those phenotypic measurements simultaneously if they share a similar genetic mechanism. In this study, we present a nonparametric approach to studying multiple traits together rather than examining each trait separately. Through simulation we compared the nominal type I error and power of our proposed test to an existing test, i.e., a generalized family-based association test. The empirical results suggest that our proposed approach is superior to the existing test in the analysis of ordinal traits. The advantage is demonstrated on a data set concerning alcohol dependence. In this application, the use of our methods enhanced the signal of the association test.
Identifiers
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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.