Skip to main content
Fig. 3 | Genome Biology

Fig. 3

From: Characterization of structural variation in Tibetans reveals new evidence of high-altitude adaptation and introgression

Fig. 3

Population structure analysis using short-read data. A Genotyping results for short-read sequencing data. Discovery categories for original LRS calls were shown for structural variations (SVs) with the genotyped missing rate (MR) < 0.05, including shared (identified in all samples), major (identified in ≥ 50% of samples), polymorphic (identified in > 1 sample), and singleton (identified in only one sample) SVs. B Principle component analysis (PCA) of SV genotypes for Hans in North China (HANN) or South China (HANS), and Tibetans living above (TIBG) or below (TIBL) 4000 m. C Admixture analysis of Tibetans and Hans, using the Biaka populations as an outgroup. The minimum cross-validation error occurs when K = 3. D Manhattan plot for the window-based fixation index (FST) statistics (Tibetans vs. Hans). Linear nearest genes to the top ten candidate regions are marked in the corresponding colors. Distances from the middle of the regions to the transcription start site of the genes are listed in brackets

Back to article page