Manhattan Plot.
The first step in any statistical analysis should always be eyeballing the data. But how do you eyeball the data from the entire human genome all at once? The answer is the Manhattan Plot. It gains its name from the similarity of such a plot to the Manhattan skyline: a profile of skyscrapers towering above the lower level “buildings” which vary around a lower height.
Associations between regions on the whole genome and any factor such as disease resistance, gets a non-zero value.
Genome locations along the entire human genome are plotted on the x axis, each dot on the Manhattan plot signifies a SNP. Each chromosome is given a different colour, The strongest associations have the smallest P-values (e.g., 10^−15), so the negative logarithm of P is plotted on the Y axis. We eyeball the result to find the locations with the largest Y values.
The eyeballing is a huge help in distinguishing between real associations and statistical outliers from a random distribution.
