ArticleBioinformatics (Oxford, England)2018
PhenotypeSimulator: A comprehensive framework for simulating multi-trait, multi-locus genotype to phenotype relationships.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits.Nature genetics · 2022Pooled it
- CCAFE: Estimating case and control allele frequencies from GWAS summary statistics.HGG advances · 2026Article
- Optimized phenotype definitions boost GWAS power.PLoS computational biology · 2026Article
- WebGWAS: a web server for instant GWAS on arbitrary phenotypes.BioData mining · 2026Article
- Do maize chromosomes contribute to genetic variance in proportion to their size in elite populations?The plant genome · 2026Article
- Genetic correlation-guided mega-analysis of DO mice provides mechanistic insight and candidate genes for age-related pathologies.PLoS genetics · 2026Article
- Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation.GigaScience · 2026Article
- Fast phenotype simulation for genotype representation graphs.Bioinformatics advances · 2026Article
- Meta-sGWAS: Integrating brain spatial interactions to uncover genetic variants in Bipolar Disorder.Research square · 2025Article
- Differences in the peripheral blood immune landscape between early-onset and late-onset colorectal cancer.Frontiers in immunology · 2025Article
- Immune dysregulation and endothelial dysfunction associate with a pro-thrombotic profile in Long COVID.Frontiers in immunology · 2025Article
- Optimizing core collections for genetic studies: a worldwide flax germplasm case study.Frontiers in plant science · 2025Article
- BEATRICE: Bayesian fine-mapping from summary data using deep variational inference.Bioinformatics (Oxford, England) · 2024Article
- BEATRICE: Bayesian Fine-mapping from Summary Data using Deep Variational Inference.bioRxiv : the preprint server for biology · 2024Article
- tstrait: a quantitative trait simulator for ancestral recombination graphs.Bioinformatics (Oxford, England) · 2024Article
- Statistical and Machine Learning Analysis in Brain-Imaging Genetics: A Review of Methods.Behavior genetics · 2024Review
- tstrait: a quantitative trait simulator for ancestral recombination graphs.bioRxiv : the preprint server for biology · 2024Article
- Descriptor:IEEE data descriptions · 2024Article
- Article
- Pleiotropic genetic association analysis with multiple phenotypes using multivariate response best-subset selection.BMC genomics · 2023Article
Corrections and comments
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Authors and funding
2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Motivation: Simulation is a critical part of method development and assessment. With the increasing sophistication of multi-trait and multi-locus genetic analysis techniques, it is important that the community has flexible simulation tools to challenge and explore the properties of these methods. Results: We have developed PhenotypeSimulator, a comprehensive phenotype simulation scheme that can model multiple traits with multiple underlying genetic loci as well as complex covariate and observational noise structure. This package has been designed to work with many common genetic tools both for input and output. We describe the underlying components of this simulation tool and illustrate its use on an example dataset. Availability and implementation: PhenotypeSimulator is available as a well documented R/CRAN package and the code is available on github: https://github.com/HannahVMeyer/PhenotypeSimulator. Supplementary information: Supplementary data are available at Bioinformatics online.
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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.