SNPxAGE_model: Flexibly modeling the age/phenotype association by genetic...

In jalabrecque/MRchecks: Tools for detecting genetic variants whose effect changes with age and associated bias

Description

Takes a genetic variant or single nucleotide polymorphism (SNP) and a phenotype it's associated with and estimates how the relationship between the two varies with age using splines.

Usage

SNPxAGE_model(data, SNP, phenotype, age, covars, k = 3, pred_ages, type = "cr")

Arguments

data	A data frame containing the SNP, age and phenotype variables
SNP	A character string with the name of the SNP variable in the data frame. This variable itself must be a factor variable containing at most 3 unique values indicating the number of copies
phenotype	A character string with the name of the phenotype variable in the data frame
age	A character string with the name of the age variable in the data frame
covars	A character vector with the names of the variables to be adjusted for (e.g. principal components)
type	A character string with the type splines to be used (see mgcv function)
knots	A numeric value indicating the number of internal knots (default 3)

Value

A list including the model and parameters used. If pred_ages is supplied then the predictions for those ages is also returned.

Author(s)

Jeremy A Labrecque, [e-mail]

References

TBA

jalabrecque/MRchecks documentation built on Dec. 20, 2021, 9:01 p.m.