Manhattan plot

A Manhattan plot is a type of scatter plot, usually used to display data with a large number of data-points, many of non-zero amplitude, and with a distribution of higher-magnitude values. The plot is commonly used in genome-wide association studies (GWAS) to display significant SNPs.[1]

An illustration of a Manhattan plot depicting several strongly associated risk loci

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.

GWAS

In GWAS Manhattan plots, genomic coordinates are displayed along the X-axis, with the negative logarithm of the association P-value for each single nucleotide polymorphism (SNP) displayed on the Y-axis, meaning that each dot on the Manhattan plot signifies a SNP. Because the strongest associations have the smallest P-values (e.g., 10−15), their negative logarithms will be the greatest (e.g., 15). The different colors of each block usually shows the extent of each chromosome.

gollark: My calculator has a nice built-in numerical equation solver.
gollark: I disagree entirely.
gollark: I too love inefficiently emulating an ALU.
gollark: Except stuff like the MAT and STEP which ææææ.
gollark: Exams here allow them because they're actually good.

References

  1. Gibson, Greg (2010). "Hints of hidden heritability in GWAS". Nature Genetics. 42 (7): 558–560. doi:10.1038/ng0710-558. PMID 20581876.


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.