Description Usage Arguments Value Author(s) References
CausalScreen implements a screening step to increase power when testing for direct genetic effects of multiple SNPs in family based association studies using causal inference methodology.
1 | CausalScreen(X, P1, P2, l, k, y, z = NULL)
|
X |
is a matrix of the child's genotype. |
P1 |
is a matrix of parent 1's genotype (ie; the father). |
P2 |
is a matrix of parent 2's genotype (ie; the mother). |
l |
is an intermediate phenotype such as height. |
k |
is the intermediate phenotype of interest such as weight. |
y |
is the normally distributed outcome of interest such as FEV. |
z |
is a matrix of covariates to adjust for, such as age and gender. |
snpOrder |
The order the SNP appears in the matrix |
ScreeningStepOrder |
The order of the SNP for the screening step. |
ScreenStat |
The statistic from the screeningstat that is not based on the child's genotype. |
Statistic and p-value |
Tests the direct genetic effect of the genotype of the SNP x on the outcome of interest y, given the intermediate phenotypes l and k. |
Sharon Lutz, Annie Thwing
Lutz SM, Vansteelandt S, Lange C. (2013) Testing for Direct Genetic Effects Using a Screening Step in Family-Based Association Studies. Frontiers in Genetics. 4 (243).
Vansteelandt S, Goetgeluk S, Lutz S, Waldamn I, Lyon H, Schadt EE, Weiss ST, Lange C. (2009) On the Adjustment for Covariates in Genetic Association Analysis: A Novel, Simple Principle to Infer Direct Effects. Genetic Epidemiology. 33(5): 394-405.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.