Non_Causal_Strongest_Marginal: Individual level data for 2 traits and 2 causal variants, but...
In colocboost: Multi-Context Colocalization Analysis for QTL and GWAS Studies
Non_Causal_Strongest_Marginal R Documentation
Individual level data for 2 traits and 2 causal variants, but the strongest marginal association is not causal
Description
An example dataset with simulated genotypes and traits for 2 traits and 2 common causal variants, but the strongest marginal association is not causal variant.
Usage
Non_Causal_Strongest_Marginal
Format
Non_Causal_Strongest_Marginal
A list with 3 elements
- X
List of genotype matrices
- Y
List of traits
- variant
indices of two causal variants
Source
The Non_Causal_Strongest_Marginal dataset contains 2 simulated phenotypes alongside corresponding genotype matrices.
There are two causal variants, but the strongest marginal association is not a causal variant.
Due to the file size limitation of CRAN release, this is a subset of simulated data to generate Figure 2b in Cao etc. 2025.
See full dataset in colocboost paper repo https://github.com/StatFunGen/colocboost-paper.
See Also
Other colocboost_data:
Ambiguous_Colocalization,
Heterogeneous_Effect,
Ind_5traits,
Sumstat_5traits,
Weaker_GWAS_Effect
colocboost documentation built on June 8, 2025, 11:07 a.m.
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| Non_Causal_Strongest_Marginal | R Documentation |
Individual level data for 2 traits and 2 causal variants, but the strongest marginal association is not causal
Description
An example dataset with simulated genotypes and traits for 2 traits and 2 common causal variants, but the strongest marginal association is not causal variant.
Usage
Non_Causal_Strongest_Marginal
Format
Non_Causal_Strongest_Marginal
A list with 3 elements
- X
List of genotype matrices
- Y
List of traits
- variant
indices of two causal variants
Source
The Non_Causal_Strongest_Marginal dataset contains 2 simulated phenotypes alongside corresponding genotype matrices. There are two causal variants, but the strongest marginal association is not a causal variant. Due to the file size limitation of CRAN release, this is a subset of simulated data to generate Figure 2b in Cao etc. 2025. See full dataset in colocboost paper repo https://github.com/StatFunGen/colocboost-paper.
See Also
Other colocboost_data:
Ambiguous_Colocalization,
Heterogeneous_Effect,
Ind_5traits,
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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