ArticlePloS one2016
Joint Analysis of Multiple Traits Using "Optimal" Maximum Heritability Test.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Network construction using sparse Gaussian graphical model based on GWAS summary statistics.Scientific reports · 2025Article
- Large-scale composite hypothesis testing procedure for omics data analyses.NAR genomics and bioinformatics · 2025Article
- A novel method for multiple phenotype association studies based on genotype and phenotype network.PLoS genetics · 2024Article
- Joint regression analysis of multiple traits based on genetic relationships.Bioinformatics advances · 2024Article
- A computationally efficient clustering linear combination approach to jointly analyze multiple phenotypes for GWAS.PloS one · 2022Article
- A Novel Hierarchical Clustering Approach for Joint Analysis of Multiple Phenotypes Uncovers Obesity Variants Based on ARIC.Frontiers in genetics · 2022Article
- Multitrait GWAS to connect disease variants and biological mechanisms.PLoS genetics · 2021Article
- A Novel Approach Integrating Hierarchical Clustering and Weighted Combination for Association Study of Multiple Phenotypes and a Genetic Variant.Frontiers in genetics · 2021Article
- Associating Multivariate Traits with Genetic Variants Using Collapsing and Kernel Methods with Pedigree- or Population-Based Studies.Computational and mathematical methods in medicine · 2021Article
- JASS: command line and web interface for the joint analysis of GWAS results.NAR genomics and bioinformatics · 2020Article
- Joint analysis of multiple phenotypes using a clustering linear combination method based on hierarchical clustering.Genetic epidemiology · 2020Article
- A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS.Bioinformatics (Oxford, England) · 2019Article
- Joint Analysis of Multiple Phenotypes in Association Studies based on Cross-Validation Prediction Error.Scientific reports · 2019Article
- A hierarchical clustering method for dimension reduction in joint analysis of multiple phenotypes.Genetic epidemiology · 2018Article
- A novel method to test associations between a weighted combination of phenotypes and genetic variants.PloS one · 2018Article
- Testing an optimally weighted combination of common and/or rare variants with multiple traits.PloS one · 2018Article
- Testing Genetic Pleiotropy with GWAS Summary Statistics for Marginal and Conditional Analyses.Genetics · 2017Article
- Genetics of pleiotropic effects of dexamethasone.Pharmacogenetics and genomics · 2017Article
- Conditional analysis of multiple quantitative traits based on marginal GWAS summary statistics.Genetic epidemiology · 2017Article
- Adaptive testing for multiple traits in a proportional odds model with applications to detect SNP-brain network associations.Genetic epidemiology · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The joint analysis of multiple traits has recently become popular since it can increase statistical power to detect genetic variants and there is increasing evidence showing that pleiotropy is a widespread phenomenon in complex diseases. Currently, most of existing methods use all of the traits for testing the association between multiple traits and a single variant. However, those methods for association studies may lose power in the presence of a large number of noise traits. In this paper, we propose an "optimal" maximum heritability test (MHT-O) to test the association between multiple traits and a single variant. MHT-O includes a procedure of deleting traits that have weak or no association with the variant. Using extensive simulation studies, we compare the performance of MHT-O with MHT, Trait-based Association Test uses Extended Simes procedure (TATES), SUM_SCORE and MANOVA. Our results show that, in all of the simulation scenarios, MHT-O is either the most powerful test or comparable to the most powerful test among the five tests we compared.
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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.