flexible simulation of phenotypes from different genetic and non-genetic (noise) components. Long Description (required)
PhenotypeSimulator allows for the simulation of complex phenotypes under different models, including genetic variant effects and infinitesimal genetic effects (reflecting population structure) as well as correlated, non-genetic covariates and observational noise effects. Different phenotypic effects can be combined into a final phenotype while controlling for the proportion of variance explained by each of the components. For each component, the number of variables, their distribution and the design of their effect across traits can be customised. https://github.com/HannahVMeyer/PhenotypeSimulator
Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator.
Every sub-attribute is selected Not all sub-attributes are selectedFill Clear Expand Collapse Reset
Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s).
Can't Find the Attribute You Are Looking For? If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the Additional Comment box of the Submit tab .
Summary of Proposed Changes Current Citations/Applications
[Pubmed ID: 29617944 ],
Meyer HV, Birney E ,
PhenotypeSimulator: A comprehensive framework for simulating multi-trait, multi-locus genotype to phenotype relationships. ,
Bioinformatics ,
09-01-2018 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=29617944, Primary Citation
[Pubmed ID: 35058635 ],
Zeng B, Bendl J, Kosoy R, Fullard JF, Hoffman GE, Roussos P ,
Multi-ancestry eQTL meta-analysis of human brain identifies candidate causal variants for brain-related traits. ,
Nat Genet ,
02-01-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=35058635, , Application
[Pubmed ID: 36170230 ],
Swart Y, van Eeden G, Uren C, van der Spuy G, Tromp G, Möller M ,
GWAS in the southern African context. ,
PLoS One ,
09-28-2022 ,
https://www.ncbi.nlm.nih.gov/pubmed/?term=36170230, , Application