Population Structure and Eigenanalysis
Nick Patterson, Alkes L Price, David Reich · 2006
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Description
Patterson, Price, and Reich present methods for reading population structure from genetic data using eigenanalysis. Sorting people and species into groups by ancestry underlies many studies of history and disease. Older methods, they note, gave no formal test of whether groups truly differ.
Their approach applies principal components analysis, a method first used on genetic data decades earlier, with new statistical rigour. It can reveal structure and test its strength. The work became a standard tool for studies of human ancestry, migration, and the genetics of disease risk. Eigenanalysis here means reading structure from the largest axes of variation.
Catalog record
| CREATOR | Nick Patterson, Alkes L Price, David Reich |
|---|---|
| YEAR | 2006 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 80 KB |
| LICENSE | Creative Commons Attribution License |
| RIGHTS | CC BY |
| SOURCE | PubMed Central |