R Dataset / Package gap / mao

Documentation

On this Picostat.com statistics page, you will find information about the mao data set which pertains to A study of Parkinson's disease and MAO gene. The mao data set is found in the gap R package. You can load the mao data set in R by issuing the following command at the console data("mao"). This will load the data into a variable called mao. If R says the mao data set is not found, you can try installing the package by issuing this command install.packages("gap") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the mao R data set. The size of this file is about 34,750 bytes.


A study of Parkinson's disease and MAO gene

Description

The markers are both with actual allele sizes and allele numbers. The dataset is distributed with the GENECOUNTING version 2.0 illustrating gene counting method involving chromosome X. A total of 183 patients and 157 controls (150 males, 190 females) were available, together with five markers in MAOA (monoamine oxidase A) region with alleles 12, 9, 6, 5, 3, and the first three markers were genotyped in all individuals while the fourth and fifth were genotyped for 294 and 304 individuals.

Usage

data(mao)

Format

A data frame

Source

Dr Helen Latsoudis of Institute of Psychiatry, KCL

References

Zhao JH (2004). 2LD, GENECOUNTING and HAP: computer programs for linkage disequilibrium analysis. Bioinformatics 20:1325-1326

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Dataset imported from https://www.r-project.org.

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Attachment Size
dataset-81704.csv 33.94 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0