missFilter

<p>Function to adjust for missing data. Observations with phenotype or structure
adjustments missing are removed. Missing covariates are imputed to the median
of the observed values. An observation missing genotype information is
excluded from association testing only at those loci where genotype is
unobserved.</p>

Implementation of genetic association tests that utilize the rank based inverse normal transformation (INT). The primary contribution is an omnibus test, which synthesizes two INT-based approaches, termed direct INT (DINT) and partially indirect INT (PIINT). In genome scale simulations, the omnibus test routinely provided valid inference against continuous phenotypes with skewed and heavy tailed residual distributions. Association testing against these same phenotypes via standard linear regression led to an excess of false positive associations. In addition to controlling the type I error, the omnibus approach provided power comparable to the more powerful of the component methods.

Zachary McCaw

missFilter: Missingness Filter

Description

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