Bryc Katarzyna, Bryc Wlodek, Silverstein Jack W
Department of Genetics, Harvard Medical School, Boston, MA 02115, USA.
Theor Popul Biol. 2013 Nov;89:34-43. doi: 10.1016/j.tpb.2013.08.004. Epub 2013 Aug 20.
We present a mathematical model, and the corresponding mathematical analysis, that justifies and quantifies the use of principal component analysis of biallelic genetic marker data for a set of individuals to detect the number of subpopulations represented in the data. We indicate that the power of the technique relies more on the number of individuals genotyped than on the number of markers.
我们提出了一个数学模型及相应的数学分析方法,该方法能够证明对一组个体的双等位基因遗传标记数据进行主成分分析以检测数据中所代表的亚群数量是合理的,并对其进行量化。我们指出,该技术的效能更多地依赖于进行基因分型的个体数量,而非标记数量。