Spatial Ancestry analysis (SPA) is a method for predicting ancestry or where an individual is from using the individual's DNA. Accurately modeling ancestry is an important step in identifying genetic variation involved in disease.
For general questions, comments or suggestions about SPA, please email Eleazar Eskin (eeskin (AT) cs.ucla.edu).
Version 1.10 was released on 2012-10-17, with support of personal genotype file from 23andMe.
2 Dimensional Mapping and 3 Dimensional Mapping
Identifying Loci with Steep Allele Frequency Gradients
You can SUBSCRIBE to our mailing list to be notified for any major updates and bug fixes.
Selected Press Coverage
Wen-Yun Yang, John Novembre, Eleazar Eskin and Eran Halperin. A model based approach for analysis of spatial structure in genetic data. Nature Genetics, 44, 725–731 (2012). Read more.
For specific questions or bug report about SPA software, please email Wen-Yun Yang (wenyun (AT) ucla.edu).
W.Y. and E.E. are supported by supported by National Science Foundation grants 0513612, 0731455, 0729049, 0916676 and 1065276, and National Institutes of Health grants K25-HL080079, U01-DA024417, P01-HL30568 and PO1-HL28481. J.N. is supported by National Science Foundation grants 0933731 and the Searle Scholars Program. E.H is a faculty fellow of the Edmond J. Safra Program in Tel-Aviv University. E.H was partially supported by the Israeli Science Foundation, grant no. 04514831, and by the IBM open collaborative research.