Sumstat_5traits: Summary level data for 5 traits
In colocboost: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Sumstat_5traits R Documentation
Summary level data for 5 traits
Description
An example dataset with simulated statistics for 5 traits
Usage
Sumstat_5traits
Format
Sumstat_5traits
A list with 2 elements
- sumstat
Summary statistics for 5 traits
- true_effect_variants
List of causal variants
Source
The Sumstat_5traits dataset contains 5 simulated summary statistics,
where it is directly derived from the Ind_5traits dataset using marginal association.
The dataset is specifically designed for evaluating and demonstrating the capabilities of ColocBoost
in multi-trait colocalization analysis with summary association 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,
Ind_5traits,
Non_Causal_Strongest_Marginal,
Weaker_GWAS_Effect
colocboost documentation built on June 8, 2025, 11:07 a.m.
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| Sumstat_5traits | R Documentation |
Summary level data for 5 traits
Description
An example dataset with simulated statistics for 5 traits
Usage
Sumstat_5traits
Format
Sumstat_5traits
A list with 2 elements
- sumstat
Summary statistics for 5 traits
- true_effect_variants
List of causal variants
Source
The Sumstat_5traits dataset contains 5 simulated summary statistics, where it is directly derived from the Ind_5traits dataset using marginal association. The dataset is specifically designed for evaluating and demonstrating the capabilities of ColocBoost in multi-trait colocalization analysis with summary association 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,
Ind_5traits,
Non_Causal_Strongest_Marginal,
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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