Ignazio Piras

Geographic population structure analysis of worldwide human populations infers their biogeographical origins

The search for a method that utilizes biological information to predict humans’ place of origin has occupied scientists for millennia. Over the past four decades, scientists have employed genetic data in an effort to achieve this goal but with limited success. While biogeographical algorithms using next-generation sequencing data have achieved an accuracy of 700 km in Europe, they were inaccurate elsewhere. Here we describe the Geographic Population Structure (GPS) algorithm and demonstrate its accuracy with three data sets using 40,000–130,000 SNPs. GPS placed 83% of worldwide individuals in their country of origin. Applied to over 200 Sardinians villagers, GPS placed a quarter of them in their villages and most of the rest within 50 km of their villages. GPS’s accuracy and power to infer the biogeography of worldwide individuals down to their country or, in some cases, village, of origin, underscores the promise of admixture-based methods for biogeography and has ramifications for genetic ancestry testing.

Human CHIT1 gene distribution: new data from Mediterranean and European populations

AbstractA 24 bp duplication in the CHIT1 gene (H allele) is associated with a deficiency in the activity of chitotriosidase, an enzyme with the capability to hydrolyse chitin. A recent study in European and two sub-Saharan populations suggested a relationship between the presence of the mutation, improved environmental conditions, and the disappearance of parasitic diseases, including Plasmodium falciparum malaria. This result was not supported by the high frequency of the 24 bp duplication in a sample from Taiwan, an area with high malaria endemicity until 40 years ago. In this study, we analysed the frequency variability of the H allele in Mediterranean populations and its internal variability in Sardinia (Italy) with respect to malaria, which had been endemic on the island until its eradication during 1946–1950. The pattern of H frequency distributions is not consistent with the hypothesis of selective pressures acting on CHIT1 gene. The Morans index coefficient and correlogram seem to indicate, indeed, that allele distribution was determined by random factors. The pattern of frequency distribution suggests a possible Asiatic origin of the H allele, but it could be possible also that the mutant allele had diffused out of Africa, and was subsequently lost from African populations.

Genome-wide scan with nearly 700 000 SNPs in two Sardinian sub-populations suggests some regions as candidate targets for positive selection

This paper explores the genetic structure and signatures of natural selection in different sub-populations from the Island of Sardinia, exploiting information from nearly 700 000 autosomal SNPs genotyped with the Affymetrix Genome-Wide Human SNP 6.0 Array. The genetic structure of the Sardinian population and its position within the context of other Mediterranean and European human groups were investigated in depth by comparing our data with publicly available data sets. Principal components and admixture analyses suggest a clustering of the examined samples in two significantly differentiated sub-populations (Ogliastra and Southern Sardinia), as confirmed by AMOVA (FST=0.011; P<0.001). Differentiation of these sub-populations was still evident when they were pooled together with supplementary Sardinian samples from HGDP and compared with several other European, North-African and Near Eastern populations, confirming the uniqueness of the Sardinian genetic background. Moreover, by applying several statistical approaches aimed at assessing differences at the SNP level, the highest differentiated genomic regions between Ogliastra and Southern Sardinia were thus investigated via an extended haplotype homozygosity (EHH)-based test to point out potential selective sweeps. Using this approach, 40 genomic regions were detected, with significant differences between Ogliastra and Southern Sardinia. These regions were subsequently investigated using a long-range haplotype test, which found significant REHH values for SNPs rs11070188 and rs11070192 in the Ogliastra sub-population. In the light of these results and the overlap of the different computed statistics, the region encompassing these loci can be considered a strong candidate to have undergone selective pressure in Ogliastra.

Frequencies of Promoter Pentanucleotide (TTTTA)n of CYP11A Gene in European and North African Populations

The present work attempts to determine the distribution of CYP11A (TTTTA)n genotype and allele frequencies in 10 European and North African populations. This polymorphism has been associated with hyperandrogenism by several association studies. To our knowledge, this is the first study investigating the ethnic variation of this polymorphism. DNA was extracted from 868 whole-blood samples with the standard phenol-chloroform technique, and PCR reactions were carried out using fluorescent primers as described previously. PCR products were analyzed by an ABI 3,730 DNA Analyzer. A total of six alleles were identified, ranging from 220 bp (4 repeats [4R]) to 250 bp (10R). The most frequent allelic fragment size in all populations was 4R, with frequencies ranging from 47.9% (Sicily) to 62.8% (Tuscany and Germany). Allelic frequencies showed high heterogeneity between analyzed populations. We detected a significant gradient for alleles 4R and 8R. In this study, we report the allele frequency distribution of CYP11A (TTTTA)n showing a north-south geographic gradient. This result could be useful for epidemiological studies about hyperandrogenism.

High frequencies of short alleles of NOS1 (CA)n polymorphism in beta(0)39 carriers from Corsica Island (France).

In this work we investigated about the presence of a correlation between a (CA)n repeat located in exon 29 of NOS1 gene and the beta-thalassemia trait in Corsica Island (France). We genotyped a sample of individuals with beta-thalassemia minor (N=110) and an ethnically matched control (N=113) from Balagna, a region of Corsica Island (France). Results highlighted the high frequencies of allele with 16 and 17 repeats in the thalassemic sample. From these results we suggest, that high frequencies of alleles with 16 and 17 repeats, could be a consequence of past malarial endemicity.

Prevalence and trend of overweight and obesity among Sardinian conscripts (Italy) of 1969 and 1998.

This study evaluated the prevalence of overweight and obesity in the male Sardinian population (Italy), and verifies that it has increased over the last 30 years. Data were collected during 2003-2004 from military registers in the Archive of the Military District of Cagliari for the years 1969 and 1998. A total of 22,345 forms were analysed from all Sardinia. The conscripts were classified on the basis of their place of residence and socioeconomic status. The overall prevalence of overweight and obesity in Sardinia were 4.33% and 0.55%, respectively, for the conscripts of 1969 and 9.8% and 3% for 1998. Olbia-Tempio (northern Sardinia) was the province with the highest incidence of overweight and obesity in 1969, and Nuoro (central Sardinia) had the highest incidence in 1998. Distribution of body mass index, overweight and obesity across the island showed a statistically significant heterogeneity that strongly decreased from 1969 to 1998. Among the conscripts of 1969, the incidence of overweight and obesity were higher in rural than in urban regions. An opposite trend was observed for the 1998 prevalence, it being more frequent in urban than rural regions. Comparison with other Italian regions was made. The percentages of overweight and obese individuals in Sardinia have markedly increased during the last 30 years, but their low incidence with respect to other Italian populations could be explained by the genetic peculiarity of the island. The change in the internal distribution of obesity clearly reflects socioeconomic changes.

Analysis of 31 STR loci in the genetic isolate of Carloforte (Sardinia, Italy).

The genotypes of 31 autosomal short tandem repeat loci in the population of Carloforte were analyzed, these representing a linguistic and genetic isolate located on the island of Sardinia (Italy). The markers span the entire length of chromosomes 19, 20, 21 and 22. Allele frequencies and statistical parameters were presented for all loci. Observed heterozygosity ranged from 0.279 to 0.884, and polymorphism information content from 0.552 to 0.886. All but two loci showed Hardy-Weinberg equilibrium after Bonferroni correction. The 31 short tandem repeat loci examined in the present work provide additional data on the genetic structure of the Carloforte population.

Selective neutrality analysis of 17 STRs in Mediterranean populations

Detection of genes that have been targeted by natural selection is a powerful tool for predicting regions of the genome potentially linked with diseases and of interest in the field of genetic epidemiology. In recent years, several methods to detect patterns of natural selection have been developed. In general, these tests are based on different assumptions and parameters; hence, the detection of outlier loci with more than one statistical approach simultaneously will support the candidate status of a particular locus. In this study, we evaluated the presence of patterns of positive selection in 17 short tandem repeat loci genotyped in six different human populations from the Mediterranean area, for a total of 429 individuals. To identify patterns of selective pressure, we applied three different neutrality tests on the basis of different models, performing pairwise comparisons between populations. Results show the presence of one marker, a (CA)n repeat located in exon 29 of the NOS1 gene, which seems significant in the three different tests in two pairwise comparisons: Sicily vs Morocco and Balearic Islands vs Morocco. This suggests that this locus and its genome localization are candidates for further studies to investigate selective pressure, as well as for association studies.

Genetic effects of human migrations and isolation

This paper analyses how migrations, environment and epidemics interact to shape genetic variation in the moder human species.The gene mutation that makes humans resistant to malaria is a striking example of how disease can shape the human genome. In Europe malaria spread in coincidence with the arrival of populations from Asia Minor and eastern Mediterranean and was favoured by the spread of agriculture, by the sedentary conditions of life and the related demographic increase.Natural selection, generally, shape the gene pool of a population in order to fit a different environment. This is the reason because hemoglobinopathies and enzyme G6PD deficit are greatly spread in areas hit by malaria epidemic. These effects are particularly evident in isolated regions or in islands with low population density, e.g. Sardinia.Disasters such as epidemics may drastically reduced the size of a population, and the victims under such circumstances are not selected. As a result the survivors within this small population are unlikely to be representative of the original population in its genetic makeup, and this occurrence is known as “bottleneck effect”. Sardinia, for instance, was hit between 1300 and 1700 by several plague epidemics. Such events drastically reduced the total number of inhabitants; creating a local alteration in the gene frequencies, that have moulded the genetics of the population. This has brought about not only a differentiation with respect to other Mediterranean populations, but creating a variability inside the island.