ArticleScientific reports2017
Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster.
Article in Scientific reports, 2017. 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.
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- Single-cell transcriptomic and chromatin accessibility analyses of dairy cattle peripheral blood mononuclear cells and their responses to lipopolysaccharide.BMC genomics · 2022Article
- Transcriptome Analysis of Bovine Rumen Tissue in Three Developmental Stages.Frontiers in genetics · 2022Article
- Comprehensive transcriptome and methylome analysis delineates the biological basis of hair follicle development and wool-related traits in Merino sheep.BMC biology · 2021Article
- Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep.Genetics, selection, evolution : GSE · 2021Article
- Article
- Integrated Small RNA Sequencing, Transcriptome and GWAS Data Reveal microRNA Regulation in Response to Milk Protein Traits in Chinese Holstein Cattle.Frontiers in genetics · 2021Article
- Leveraging Multiple Layers of Data To PredictG3 (Bethesda, Md.) · 2020Article
- Integrating RNA-Seq with GWAS reveals novel insights into the molecular mechanism underpinning ketosis in cattle.BMC genomics · 2020Article
- Epigenomics and genotype-phenotype association analyses reveal conserved genetic architecture of complex traits in cattle and human.BMC biology · 2020Article
- Comprehensive analyses of 723 transcriptomes enhance genetic and biological interpretations for complex traits in cattle.Genome research · 2020Article
- Genetic Signatures of Drug Response Variability inGenetics · 2019Article
- Functional annotation of the cattle genome through systematic discovery and characterization of chromatin states and butyrate-induced variations.BMC biology · 2019Article
- Integrating Signals from Sperm Methylome Analysis and Genome-Wide Association Study for a Better Understanding of Male Fertility in Cattle.Epigenomes · 2019Article
- Comparative analyses of sperm DNA methylomes among human, mouse and cattle provide insights into epigenomic evolution and complex traits.Epigenetics · 2019Article
- Genetic and epigenetic architecture of paternal origin contribute to gestation length in cattle.Communications biology · 2019Article
- Genomic Prediction Using Prior Quantitative Trait Loci Information Reveals a Large Reservoir of Underutilised Blackleg Resistance in Diverse Canola (The plant genome · 2018Article
- MicroRNA-guided prioritization of genome-wide association signals reveals the importance of microRNA-target gene networks for complex traits in cattle.Scientific reports · 2018Article
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4 authors.
Funding
Abstract
The genomic best linear unbiased prediction (GBLUP) model has proven to be useful for prediction of complex traits as well as estimation of population genetic parameters. Improved inference and prediction accuracy of GBLUP may be achieved by identifying genomic regions enriched for causal genetic variants. We aimed at searching for patterns in GBLUP-derived single-marker statistics, by including them in genetic marker set tests, that could reveal associations between a set of genetic markers (genomic feature) and a complex trait. GBLUP-derived set tests proved to be powerful for detecting genomic features, here defined by gene ontology (GO) terms, enriched for causal variants affecting a quantitative trait in a population with low degree of relatedness. Different set test approaches were compared using simulated data illustrating the impact of trait- and genomic feature-specific factors on detection power. We extended the most powerful single trait set test, covariance association test (CVAT), to a multiple trait setting. The multiple trait CVAT (MT-CVAT) identified functionally relevant GO categories associated with the quantitative trait, chill coma recovery time, in the unrelated, sequenced inbred lines of the Drosophila melanogaster Genetic Reference Panel.
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