Identifying ancestry along each chromosome in admixed individuals provides a wealth of information for understanding the population genetic history of admixture events and is valuable for admixture mapping and identifying recent targets of selection. We present PCAdmix (available at  https://sites.google.com/site/pcadmix/home), a Principal Components-based algorithm for determining ancestry along each chromosome from a high-density, genome-wide set of phased single-nucleotide polymorphism (SNP) genotypes of admixed individuals. We compare our method to HAPMIX on simulated data from two ancestral populations, and we find high concordance between the methods. Our method also has better accuracy than LAMP when applied to three-population admixture, a situation as yet unaddressed by HAPMIX. Finally, we apply our method to a data set of four Latino populations with European, African, and Native American ancestry. We find evidence of assortative mating in each of the four populations, and we identify regions of shared ancestry that may be recent targets of selection and could serve as candidate regions for admixture-based association mapping.

Nomadic populations have played a significant role in the history of not only China but also in many nations worldwide. Because they had no written language, an important aspect in the study of these people is the discovery of their tombs. It has been generally accepted that Xiongnu was the first empire created by a nomadic tribe in the 3rd century BC. However, little population genetic information is available concerning the Donghu, another flourishing nomadic tribe at the same period because of the restriction of materials until the Jinggouzi site was excavated. In order to test the genetic characteristics of ancient people in this site and to explore the relationship between Jinggouzis and Donghus, two uniparentally inherited markers were analyzed from 42 human remains in this site, which was located in northern China, dated approximately 2500 years ago. With ancient DNA technology, four mtDNA haplogroups (D, G, C, and M10) and one Y chromosome haplogroup (C) were identified using mitochondrial DNA and Y-chromosome single nucleotide polymorphisms. Those haplogroups are common in North Asia and East Asia. The Jinggouzi people were genetically closest to the Xianbeis in ancient populations and to the Oroqens among extant populations, who were all pastoralists. This might indicate that ancient Jinggouzi people were nomads. Meanwhile, according to the genetic data and the evidences in archaeology, we inferred that Jinggouzi people were associated with Donghu. It is of much value to trace the history of the Donghu tribe and this might show some insight into the ancient nomadic society.

This study investigated: (1) the mitochondrial DNA (mtDNA) genetic variation in 116 unrelated individuals who originated from the Arabian Peninsula, Iran, or were of Bedouin ethnicity and (2) the genetic structure of Kuwaiti populations and compared it to their neighboring populations. These subpopulations were tested for genetic homogeneity and shown to be heterogeneous. Restriction fragment length polymorphism (RFLP) and mtDNA sequencing analyses of HVRI were used to reconstruct the genetic structure of Kuwait. The results indicated that the combined Kuwaiti population has a high frequency of haplogroup R0 (17%), J (12%), and U (12%) similar to other Arabian populations. In addition, contemporary African gene flow was detected through the presence of sub-haplogroup L (L1 and L2) (2%) and the absence of L3 which is reflective of an earlier migration. Furthermore, the multidimensional scaling (MDS) plot showed that the Kuwaiti population clusters with neighboring populations, including Iran and Saudi Arabia indicating gene flow into Kuwait. According to this study, the Kuwaiti population may be undergoing an expansion in a relatively short period of time, and the maternal genetic structure of Kuwait resembles both Saudi Arabia and Iran.

The Hamshenis are an isolated geographic group of Armenians with a strong ethnic identity who, until the early decades of the twentieth century, inhabited the Pontus area on the southern coast of the Black Sea. Scholars hold alternative views on their origin, proposing Eastern Armenia, Western Armenia, and Central Asia, respectively, as their most likely homeland. To ascertain whether genetic data from the nonrecombining portion of the Y chromosome are supportive of any of these suggestions, we screened 82 Armenian males of Hamsheni descent for 12 biallelic and 6 microsatellite Y-chromosomal markers. These data were compared with the corresponding data set from the representative populations of the three candidate regions. Genetic difference between the Hamshenis and other groups is significant and backs up the hypothesis of the Armenian origin of the Hamshenis, indicating central historical Armenia as a homeland of the ancestral population. This inference is further strengthened by the results of admixture analysis, which does not support the Central-Asian hypothesis of the Hamshenis' origin. Genetic diversity values and patterns of genetic distances suggest a high degree of genetic isolation of the Hamshenis consistent with their retention of a distinct and ancient dialect of the Armenian language.

The present study is the first meta-analysis to evaluate type 2 diabetes (T2D)— associated polymorphisms in cohorts originated from several Tunisian regions. In fact, we evaluated the effect of seven polymorphisms in the following genes—PPARg (Pro12Ala), TNFα (-308A/G), ENPP1(K121Q), TCF7L2(rs7903146°C/T), MTHFR(C677T), ACE(I/D), and CAPN10(3R/2R)—on T2D risk, through a meta-analysis combining data of previous studies performed on Tunisian populations originating from the north, center, or south of the country. R statistics version 2.12.1 software was used to estimate the heterogeneity between studies. Pooled odds ratios were computed by the fixed-effects method of Mantel-Haenszel if no heterogeneity between studies exists. Despite the similarities founded in a number of loci, the Woolf test reported that the contributions of ENPP1 and ACE loci in T2D risk are dependent on the geographic origin of concerned groups, and this heterogeneity could be attributed not only to the variable contribution of the variant in T2D risk but also to diversities of genetic background between tested groups. Interestingly, observed heterogeneity highlighted founding concerning Y chromosome and the mitochondrial DNA about the genetic structure of Tunisian population and proves once again that Tunisians, like the north-Africans, are a mosaic of subpopulations, with significant differences in genetic structure. In homogeneous groups, we replicated the association of single-nucleotide polymorphisms of TCF7L2, MTHFR, CAPN 10, TNFα, and ACE genes with a T2D risk in the Tunisian population with OR ranging from 1.43 to 6.72. However, we reported an absence of the association of PPARg with T2D in the Tunisian population.

In cross-sectional epidemiological studies, blood pressure (BP) is often found to be positively correlated with fatness. Usually sphygmomanometers with only one cuff size for adults are used to measure BP while arm circumference (AC) influences BP readings. We have studied cross-sectional anthropometric and BP data of adult men and women from three populations: Cook Islanders (n = 259), Papua New Guinean: Purari (n = 295), and Ok Tedi (n = 274). These were selected because of their diverse socio-economic, anthropometric, and BP characteristics. Partial correlations and regressions were used to analyze these data. Systolic and diastolic pressures (SBP, DBP) showed dependence on AC, body mass index (BMI), and skinfold thickness. Stature had some effect on SBP and DBP, independent of BMI and AC. When effects of AC and stature were statistically controlled, BMI did not correlate with either SBP or DBP. People of larger body mass have greater AC, and this biases BP readings. Average values of SBP and DBP in groups of underweight, normal, overweight, and obese people predicted by AC (sex, age, and BMI being statistically controlled) closely matched observed SBP and DBP averages in those groups. Out of 24 pairwise comparisons (3 samples from different populations × 4 groups of BMI × 2 pressure readings) of predicted and actual BP, only two produced statistically significant differences while 21 of the differences were 5 mm Hg or less. Correlations between BP and obesity found in epidemiological studies may be severely biased by effects of variation in AC. Sphygmomanometric measurements of BP should be corrected for continuous variation in AC.