학술논문

GeneOnEarth: Fitting Genetic PC Plots on the Globe
Document Type
Periodical
Source
IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 10(4):1009-1016 Aug, 2013
Subject
Bioengineering
Computing and Processing
Sociology
Statistics
Google
Earth
Genetics
Europe
Data models
Population genetics
SNPs
web-based application
PCA
procrustes analysis
population stratification
admixture
Language
ISSN
1545-5963
1557-9964
2374-0043
Abstract
Principal component (PC) plots have become widely used to summarize genetic variation of individuals in a sample. The similarity between genetic distance in PC plots and geographical distance has shown to be quite impressive. However, in most situations, individual ancestral origins are not precisely known or they are heterogeneously distributed; hence, they are hardly linked to a geographical area. We have developed GeneOnEarth, a user-friendly web-based tool to help geneticists to understand whether a linear isolation-by-distance model may apply to a genetic data set; thus, genetic distances among a set of individuals resemble geographical distances among their origins. Its main goal is to allow users to first apply a by-view Procrustes method to visually learn whether this model holds. To do that, the user can choose the exact geographical area from an on line 2D or 3D world map by using, respectively, Google Maps or Google Earth, and rotate, flip, and resize the images. GeneOnEarth can also compute the optimal rotation angle using Procrustes analysis and assess statistical evidence of similarity when a different rotation angle has been chosen by the user. An online version of GeneOnEarth is available for testing and using purposes at >http://bios.ugr.es/GeneOnEarth.