RNOmni-help

<p>Implementation of genetic association tests that incorporate the rank-based
inverse normal transformation (INT) <code>RankNorm</code>. In direct-INT
<code>DINT</code>, the phenotype itself is transformed. In indirect-INT
<code>IINT</code>, phenotypic residuals are transformed. The omnibus INT
<code>OINT</code> test adaptively combines the D-INT and I-INT tests into a
single robust and statistically powerful procedure. See McCaw ZR, Lane JM,
Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based
inverse normal transformation for quantitative trait analysis in genome-wide
association studies." Biometrics, 2019. &lt;https://doi.org/10.1111/biom.13214&gt;.</p>

Inverse normal transformation (INT) based genetic association testing. These tests are recommend for continuous traits with non-normally distributed residuals. INT-based tests robustly control the type I error in settings where standard linear regression does not, as when the residual distribution exhibits excess skew or kurtosis. Moreover, INT-based tests dominate standard linear regression in terms of power. These tests may be classified into two types. In direct INT (D-INT), the phenotype is itself transformed. In indirect INT (I-INT), phenotypic residuals are transformed. The omnibus test (O-INT) adaptively combines D-INT and I-INT into a single robust and statistically powerful approach. See McCaw ZR, Lane JM, Saxena R, Redline S, Lin X. "Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies" <doi:10.1111/biom.13214>.

RNOmni-help: RNOmni: Rank-Normal Omnibus Association Testing

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