CNVCOVY: Simulated data with copy number variants (CNV), Covariates...

In CNVreg: CNV-Profile Regression for Copy Number Variants Association Analysis with Penalized Regression

Simulated data with copy number variants (CNV), Covariates (Cov), and outcomes traits (Y_QT for a continuous outcome and Y_BT for a binary outcome)for the illustration of CNV association analysis with penalized regression in CNVreg.

Description

Simulated data with copy number variants (CNV), Covariates (Cov), and outcomes traits (Y_QT for a continuous outcome and Y_BT for a binary outcome)for the illustration of CNV association analysis with penalized regression in CNVreg.

Usage

data("CNVCOVY")

Format

CNVCOVY.RData provides 4 datasets: CNV, Cov, Y_QT, and Y_BT.

• CNV. A data frame of 2680 CNV records, it has 5 variables:

  • ID. The sample ID of the CNV records in each row. There are 797 unique IDs.

  • CHR. An integer variable, the chromosome number of CNV records.

  • BP1. A numeric variable, the starting breakpoint of the CNV records.

  • BP2. A numeric variable, the ending breakpoint of the CNV records.

  • TYPE. An integer variable, how many copies of the CNV present.

• Cov. A data frame contains covariats of 900 samples (including 797 samples in the CNV data set). Cov has 3 variables.

  • ID. The sample ID of 900 individuals (900 unique IDs).

  • Sex. An integer covariate, sex of each sample: 0 male, 1 female.

  • Age. A numeric covariate, age of each sample.

• Y_QT and Y_BT are two data frames for outcomes traits. Y_QT contains a continuous trait. Y_BT contains a binary trait. Both have 2 variables

  • ID. The sample ID of 900 individuals (900 unique IDs).

  • Y. Y_QT has a numeric variable range (-4.89 – 16.70) Y_BT has an integer variable with controls 0 and cases 1.

CNVreg documentation built on April 4, 2025, 12:41 a.m.