ArticleFrontiers in genetics2020
MetaPhat: Detecting and Decomposing Multivariate Associations From Univariate Genome-Wide Association Statistics.
Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Risk prediction for cardiovascular related diseases using PRS and EHR in the Framingham Heart Study.PloS one · 2026Article
- Exome-wide association study reveals 7 functional variants associated with ex-vivo drug response in acute myeloid leukemia patients.BMC medical genomics · 2025Article
- Exploring autism spectrum disorder and co-occurring trait associations to elucidate multivariate genetic mechanisms and insights.BMC psychiatry · 2024Article
- Integration of risk factor polygenic risk score with disease polygenic risk score for disease prediction.Communications biology · 2024Article
- Integration of Biomarker Polygenic Risk Score Improves Prediction of Coronary Heart Disease.JACC. Basic to translational science · 2023Article
- Genome-wide association analysis of plasma lipidome identifies 495 genetic associations.Nature communications · 2023Article
- LARGE-SCALE MULTIVARIATE SPARSE REGRESSION WITH APPLICATIONS TO UK BIOBANK.The annals of applied statistics · 2022Article
- The genetic architecture of structural left-right asymmetry of the human brain.Nature human behaviour · 2021Article
- An expanded analysis framework for multivariate GWAS connects inflammatory biomarkers to functional variants and disease.European journal of human genetics : EJHG · 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
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4 authors.
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Abstract
backgroundMultivariate testing tools that integrate multiple genome-wide association studies (GWAS) have become important as the number of phenotypes gathered from study cohorts and biobanks has increased. While these tools have been shown to boost statistical power considerably over univariate tests, an important remaining challenge is to interpret which traits are driving the multivariate association and which traits are just passengers with minor contributions to the genotype-phenotypes association statistic.
resultsWe introduce MetaPhat, a novel bioinformatics tool to conduct GWAS of multiple correlated traits using univariate GWAS results and to decompose multivariate associations into sets of central traits based on intuitive trace plots that visualize Bayesian Information Criterion (BIC) and
conclusionMetaPhat efficiently decomposes associations between multivariate phenotypes and genetic variants into smaller sets of central traits and improves the interpretation and specificity of genome-phenome associations. MetaPhat is freely available under the MIT license at: https://sourceforge.net/projects/meta-pheno-association-tracer.
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