A simple simulated dataset comprising 4000 probands and 4000 controls, where subject age is tabulated against their genotype.
A data frame with 8000 observations on the following 5 variables.
Subject age (a numeric vector)
Subject type: proband or control (a character vector)
Subject's first allele: "a" or "b" (a character vector)
Subject's second allele: "a" or "b" (a character vector)
Subject's genotype, coded "allele1.allele2" (a character vector)
This dataset is used for the examples in the main help page for the
freqMAP-package. See there for usage
details. In MAP plots as a function of age, the genotype frequency
curves in this dataset demonstrate non-homogeneous frequency
patterns. For instance, at ages above 70, the "b.b" genotype becomes
more frequent in probands than in younger probands. To compensate, the
"a.a" genotype is less frequent in older probands than younger
ones. The "a.b" genotype in probands is more homogeneous over all
ages. Control genotype frequencies are also relatively homogeneous
over all ages.
Payami, H., Kay, D.M., Zabetian, C.P., Schellenberg, G.D., Factor, S.A., and McCulloch, C.C. (2009) "Visualizing Disease Associations: Graphic Analysis of Frequency Distributions as a Function of Age Using Moving Average Plots (MAP) with Application to Alzheimer's and Parkinson's Disease", Genetic Epidemiology
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