[The application of statistical approaches in studying population genetics with STR data].
As high polymorphism markers, STR loci have been widely used in studying population genetics. This review summarizes various genetic diversity parameters and analysis methods regarding to genotype frequency and allele frequency, including heterozygosity, polymorphism information content (PIC), linkage disequilibrium coefficients, inbreeding coefficients, genetic distance and fixation indices. The methods of statistical analysis included principal component analysis, phylogenetic trees, analysis of molecular variance (AMOVA), R matrix, GIS and spatial autocorrelation. By means of various parameters and methods, graphically and scientifically, we can describe and interpret several key issues in the study of population genetics, such as population genetic structure, population differentiation and human evolution.
Gui
Hong-Sheng
HS
Ministry Key Laboratory of Forensic Science, Xi'an Jiaotong University, Xi'an 710061, China.
Yang
Li
L
Li
Sheng-Bin
SB
D000704:Analysis of Variance; D005828:Genetics, Population / Q000379:methods*; D006801:Humans; D018895:Microsatellite Repeats; D010802:Phylogeny; D025341:Principal Component Analysis