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. 2010 Sep 9;6(9):e1001116.
doi: 10.1371/journal.pgen.1001116.

Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data

Affiliations

Identifying signatures of natural selection in Tibetan and Andean populations using dense genome scan data

Abigail Bigham et al. PLoS Genet. .

Abstract

High-altitude hypoxia (reduced inspired oxygen tension due to decreased barometric pressure) exerts severe physiological stress on the human body. Two high-altitude regions where humans have lived for millennia are the Andean Altiplano and the Tibetan Plateau. Populations living in these regions exhibit unique circulatory, respiratory, and hematological adaptations to life at high altitude. Although these responses have been well characterized physiologically, their underlying genetic basis remains unknown. We performed a genome scan to identify genes showing evidence of adaptation to hypoxia. We looked across each chromosome to identify genomic regions with previously unknown function with respect to altitude phenotypes. In addition, groups of genes functioning in oxygen metabolism and sensing were examined to test the hypothesis that particular pathways have been involved in genetic adaptation to altitude. Applying four population genetic statistics commonly used for detecting signatures of natural selection, we identified selection-nominated candidate genes and gene regions in these two populations (Andeans and Tibetans) separately. The Tibetan and Andean patterns of genetic adaptation are largely distinct from one another, with both populations showing evidence of positive natural selection in different genes or gene regions. Interestingly, one gene previously known to be important in cellular oxygen sensing, EGLN1 (also known as PHD2), shows evidence of positive selection in both Tibetans and Andeans. However, the pattern of variation for this gene differs between the two populations. Our results indicate that several key HIF-regulatory and targeted genes are responsible for adaptation to high altitude in Andeans and Tibetans, and several different chromosomal regions are implicated in the putative response to selection. These data suggest a genetic role in high-altitude adaption and provide a basis for future genotype/phenotype association studies necessary to confirm the role of selection-nominated candidate genes and gene regions in adaptation to altitude.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Figure 1
Figure 1. The geography of human adaptation to high altitude.
Geographic locations where humans have adapted to life at high-altitude are indicated in grey and include the Andean Altiplano of South America, the Tibetan Plateau of Central Asia, and the Semien Plateau of Ethiopia. Only populations from the Andean Altiplano and the Tibetan Plateau were considered here. Inset: Map locations of the four Native American population samples including Peruvian Quechua, Bolivian Aymara, Nahua, Mixtec, and Tlapanec speakers from Guerrero, Mexico, and Maya from the Yucatan Peninsula, Mexico.
Figure 2
Figure 2. Individual ancestry estimates.
(A) Indigenous American individual genetic structure using PCA with a set of 221,046 SNPs selected to remove the influence of European admixture (see Materials and Methods and Figure S1) Europeans have been removed to simplify the representation; (B) East Asian individual genetic structure using PCA with the full set of 439,046 SNPs; (C) Frappe map file showing Indigenous American and (D) East Asian population structure. Population abbreviations are as in Figure 2A and Figure 2B, respectively. Additional European and African populations are included in the frappe bar chart in Figure 2C, and include Yoruban (YOR), Bantu (BAN), Berber (BER), French (FRE), and Tuscan (TUS). Each individual is represented by a vertical line that is divided into colored segments representing the genomic contribution from a particular K ancestral cluster.
Figure 3
Figure 3. HIF pathway candidate genes showing evidence of positive directional selection in Andeans and Tibetans.
The most significant test statistics for the HIF pathway candidate genes are plotted against the null distribution generated by plotting the highest ranked (i.e. most significant) test statistic for each gene from the dataset for LSBL in (A) Andeans and (B) Tibetans, for lnRH in (C) Andeans and (D) Tibetans, and for the standardized difference of D for in (E) Andeans and (F) Tibetans. The solid line indicates the 5% empirical cut off and the dashed line indicates the 1% empirical cut off for each distribution. The maximum test statistic for each of the HIF pathway candidate genes that had one or more SNPs falling in the top 5% of the empirical distribution is plotted on the figure as a solid circle. Those SNPs that fall in the top 5% of the empirical distribution and that are significant under the null distribution shown here for each population are plotted as numbers. In Figure A, 1 = EGLN1, 2 = NOS2A, 3 = TGFA, 4 = CXCR4, and 5 = PRKAA1. For Figure B, 1 = EPAS1, 2 = EPO, 3 = CASR, 4 = EDN1, and 5 = EGLN1. For Figure C, 1 = ELF2, 2 = IL1A/IL1B, 3 = TNC, 4 = FRAP1, 5 = POLR2A. For Figure D, 1 = PIK3CB, 2 = COPS5, 3 = EGLN1, 4 = VEGFC, 5 = IL1B, 6 = EPAS1, 7 = RBX1, 8 = IL1A. In Figure E, 1 = PRKAA1, 2 = NOS2A, 3 = EDNRB. For Figure F, 1 = EPAS1, 2 = ARNT, 3 = ADRA1B.
Figure 4
Figure 4. Genetic variation at EGLN1.
The distribution of allele frequencies is shown for the two EGLN1 SNPs, rs1769792 and rs12030600, exhibiting the highest ranked LSBL values in Andeans (A) and Tibetans (B), respectively. The derived G allele is shown red and the ancestral A allele is shown in black for rs1769792. The derived A allele is shown in red and the ancestral G allele is shown in black for rs12030600. LSBL, lnRH, and standardized difference of D are plotted for EGLN1 including 500 kb upstream and downstream from the gene in (C) Andeans and (D) Tibetans. Significant SNPs or sliding windows are shown in red (PE<0.05) whereas non-significant SNPs or SNP windows are depicted in blue. The genes found in the plotted region are shown below the plots. EGLN1 is indicated in grey. The most frequent haplotype in the 100 kb region surrounding EGLN1 is depicted for Andeans and Tibetans (E). Ancestral alleles are depicted in black and derived alleles are depicted red. The ancestral/derived state for a single site is unknown and is depicted as an unfilled box. The population frequency is listed to the right of each haplotype. The arrows indicate the location of the SNPs displaying the most extreme LSBL values plotted in 4A and 4B.
Figure 5
Figure 5. Genetic variation at HBE1.
LSBL plotted for (A) 50 kb and (B) 500 kb surrounding HBE1. LSBL is shown on the X-axis and genomic position along chromosome 12 is shown on the Y-axis, with the axis labels located on the upper portion of the plots.

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