SynthesisPloS one2014
A comparison of multivariate genome-wide association methods.
Synthesis in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers, 5 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
112 citing papers in PubMed, 5 syntheses or guidelines pooled it, 206 citations in OpenAlex.
- Cross-phenotype association analysis of gastric cancer: in-silico functional annotation based on the disease-gene network.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Multi-trait analysis for genome-wide association study of five psychiatric disorders.Translational psychiatry · 2020Pooled it
- An efficient Bayesian meta-analysis approach for studying cross-phenotype genetic associations.PLoS genetics · 2018Pooled it
- Common genetic variants associated with cognitive performance identified using the proxy-phenotype method.Proceedings of the National Academy of Sciences of the United States of America · 2014Pooled it
- Research on multi-trait genome association study method based on Shannon information entropy.BMC bioinformatics · 2026Article
- Training and race-induced coordination of oxidative stress markers in racehorses: insights from multivariate and univariate analyses.Journal of veterinary internal medicine · 2026Article
- Genome-wide association studies for feed efficiency, production and feeding behavior traits in Canadian purebred Duroc pigs.Journal of animal science · 2026Article
- Genome-wide cross-trait analysis of heterogeneous outcomes in early life atopic dermatitis.Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology · 2025Article
- Joint analysis ofNAR genomics and bioinformatics · 2025Article
- Mediated pleiotropy drives the negative correlation of total carotenoid and dry matter contents in cassava (Manihot esculenta).Genetics · 2025Article
- Genome-wide association of tau neuroimaging and plasma biomarkers in adults with Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Genetic diversity analysis and conservation strategy recommendations for ex situ conservation of Cupressus chengiana.BMC plant biology · 2025Article
- Applying traditional and machine learning-based GWAS approaches for marker-trait identification in wheat.Frontiers in plant science · 2025Article
- Maize green leaf area index dynamics: genetic basis of a new secondary trait for grain yield in optimal and drought conditions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Joint regression analysis of multiple traits based on genetic relationships.Bioinformatics advances · 2024Article
- Joint analysis of multiple phenotypes for extremely unbalanced case-control association studies using multi-layer network.Bioinformatics (Oxford, England) · 2023Article
- A fast non-parametric test of association for multiple traits.Genome biology · 2023Article
- Multivariate GWAS of Alzheimer's disease CSF biomarker profiles implies GRIN2D in synaptic functioning.Genome medicine · 2023Article
- Multivariate genome-wide associations for immune traits in two maternal pig lines.BMC genomics · 2023Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a multivariate GWAS, offers several advantages over analyzing each trait in a separate GWAS. In this study we directly compared a number of multivariate GWAS methods using simulated data. We focused on six methods that are implemented in the software packages PLINK, SNPTEST, MultiPhen, BIMBAM, PCHAT and TATES, and also compared them to standard univariate GWAS, analysis of the first principal component of the traits, and meta-analysis of univariate results. We simulated data (N = 1000) for three quantitative traits and one bi-allelic quantitative trait locus (QTL), and varied the number of traits associated with the QTL (explained variance 0.1%), minor allele frequency of the QTL, residual correlation between the traits, and the sign of the correlation induced by the QTL relative to the residual correlation. We compared the power of the methods using empirically fixed significance thresholds (α = 0.05). Our results showed that the multivariate methods implemented in PLINK, SNPTEST, MultiPhen and BIMBAM performed best for the majority of the tested scenarios, with a notable increase in power for scenarios with an opposite sign of genetic and residual correlation. All multivariate analyses resulted in a higher power than univariate analyses, even when only one of the traits was associated with the QTL. Hence, use of multivariate GWAS methods can be recommended, even when genetic correlations between traits are weak.
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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.