Ind_5traits: Individual level data for 5 traits
In colocboost: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Ind_5traits R Documentation
Individual level data for 5 traits
Description
An example dataset with simulated genotypes and traits for 5 traits
Usage
Ind_5traits
Format
Ind_5traits
A list with 3 elements
- X
List of genotype matrices
- Y
List of traits
- true_effect_variants
List of causal variants
Source
The Ind_5traits dataset contains 5 simulated phenotypes alongside corresponding genotype matrices.
The dataset is specifically designed for evaluating and demonstrating the capabilities of ColocBoost in multi-trait colocalization analysis
with individual-level data. See Cao etc. 2025 for details.
Due to the file size limitation of CRAN release, this is a subset of simulated data.
See full dataset in colocboost paper repo https://github.com/StatFunGen/colocboost-paper.
See Also
Other colocboost_data:
Ambiguous_Colocalization,
Heterogeneous_Effect,
Non_Causal_Strongest_Marginal,
Sumstat_5traits,
Weaker_GWAS_Effect
colocboost documentation built on June 8, 2025, 11:07 a.m.
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| Ind_5traits | R Documentation |
Individual level data for 5 traits
Description
An example dataset with simulated genotypes and traits for 5 traits
Usage
Ind_5traits
Format
Ind_5traits
A list with 3 elements
- X
List of genotype matrices
- Y
List of traits
- true_effect_variants
List of causal variants
Source
The Ind_5traits dataset contains 5 simulated phenotypes alongside corresponding genotype matrices. The dataset is specifically designed for evaluating and demonstrating the capabilities of ColocBoost in multi-trait colocalization analysis with individual-level data. See Cao etc. 2025 for details. Due to the file size limitation of CRAN release, this is a subset of simulated data. See full dataset in colocboost paper repo https://github.com/StatFunGen/colocboost-paper.
See Also
Other colocboost_data:
Ambiguous_Colocalization,
Heterogeneous_Effect,
Non_Causal_Strongest_Marginal,
Sumstat_5traits,
Weaker_GWAS_Effect
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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