Description Usage Arguments Value Examples

View source: R/variancecomponentFunctions.R

geneticFixedEffects takes genetic variants which should be added as genetic variant effects to the phenotype. These variants can have the same effects across all traits (shared) or can be independent across traits (independent); in addition, only a certain proportion of traits can be affected by the genetic variants.

1 2 3 4 5 | ```
geneticFixedEffects(X_causal, P, N, phenoID = "Trait_",
id_samples = rownames(X_causal), id_phenos = NULL, pTraitsAffected = 1,
pIndependentGenetic = 0.4, pTraitIndependentGenetic = 0.2,
keepSameIndependent = FALSE, distBeta = "norm", mBeta = 0, sdBeta = 1,
verbose = FALSE)
``` |

`X_causal` |
[N x NrCausalSNPs] Matrix of [NrCausalSNPs] SNPs from [N] samples. |

`P` |
Number [integer] of phenotypes to simulate. |

`N` |
Number [integer] of samples to simulate; has to be provided as a dimnesionality check for X_causal and downstream analyses; nrow(X_causal) has to be equal to N. |

`phenoID` |
Prefix [string] for naming traits. |

`id_samples` |
Vector of [NrSamples] sample IDs [string]; if not provided colnames(X_causal) used. |

`id_phenos` |
Vector of [NrTraits] phenotype IDs [string]; if not provided constructed by paste(phenoID, 1:P, sep=""). |

`pTraitsAffected` |
Proportion [double] of traits affected by the genetic effect. For non-integer results of pTraitsAffected*P, the ceiling of the result is used. Allows to simulate for instance different levels of pleiotropy. |

`pIndependentGenetic` |
Proportion [double] of genetic effects (SNPs) to have an independent fixed effect. |

`pTraitIndependentGenetic` |
Proportion [double] of traits influenced by independent fixed genetic effects. |

`keepSameIndependent` |
[boolean] If set to TRUE, the independent genetic effects always influence the same subset of traits. |

`distBeta` |
Vector of name(s) [string] of distribution to use to simulate effect sizes of SNPs; one of "unif" or "norm". |

`mBeta` |
Vector of mean/midpoint(s) [double] of normal/uniform distribution for effect sizes of SNPs. |

`sdBeta` |
Vector of standard deviation/distance from midpoint [double] of normal/uniform distribution for effect sizes of SNPs. |

`verbose` |
[boolean] If TRUE, progress info is printed to standard out |

Named list of shared fixed genetic effects (shared: [N x P] matrix), independent fixed genetic effects (independent: [N x P] matrix), the causal SNPs labeled as shared or independent effect (cov: [NrCausalSNPs x N] matrix) and the simulated effect sizes of the causal SNPs (cov_effect: [P x NrCausalSNPs] dataframe).

1 2 3 4 | ```
genotypes <- simulateGenotypes(N=100, NrSNP=20, verbose=FALSE)
causalSNPs <- getCausalSNPs(N=100, genotypes=genotypes$genotypes)
geneticFixed <- geneticFixedEffects(N=100, X_causal=causalSNPs,
P=10)
``` |

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