Distribution of the mammalian-wide interspersed repeats (MIRs) in the isochores of the human genome

AbstractThe distribution of MIRs (mammalian-wide interspersed repeats) was investigated in 164 human sequences (≥100 kb), which were assigned, according to their GC level, to isochore families L, H1, H2 and H3. MIR elements, whose total number in the genome was estimated to be about 3.3×105, were found to be unevenly distributed in human isochores. The majority of MIRs (55%) were found in the L isochore family. In contrast, MIR density was highest in H2, closely followed by H1, whereas densities in L and H3 were 2- and 3-fold lower than in H2, respectively. For this reason, the assessment of MIR distribution by inter-repeat PCR led to an overestimation of MIR numbers in H2 isochore and an underestimation in L isochores

Polymorphisms within a polymorphism: SNPs in and around a polymorphic Alu insertion in intron 44 of the human dystrophin gene

A polymorphic Yb-type Alu insertion on Xp21.3 shows a genotypic gradient across worldwide populations. We used single strand conformational polymorphism (SSCP), denaturing high-pressure liquid chromatography (DHPLC), and sequencing to characterize the level of polymorphism within this region. Two novel polymorphic sites were found within the Alu insertion itself, and a further seven novel polymorphic sites in the 2-kb flanking region. Our results showed that while DHPLC was more sensitive than SSCP, the limitations of DHPLC included the lack of ability to distinguish between multiple alleles or safely identify mutations on a polymorphic background. We believe that this is the first report of polymorphic single nucleotide polymorphisms (SNPs) within a polymorphic Alu distribution and that together they promise to provide a useful marker for human population and evolutionary genetics

The effective family size of immigrant founders predicts their long-term demographic outcome : From Québec settlers to their 20th-century descendants

Population history reconstruction, using extant genetic diversity data, routinely relies on simple demographic models to project the past through ascending genealogical-tree branches. Because genealogy and genetics are intimately related, we traced descending genealogies of the Québec founders to pursue their fate and to assess their contribution to the present-day population. Focusing on the female and male founder lines, we observed important sex-biased immigration in the early colony years and documented a remarkable impact of these early immigrants on the genetic make-up of 20th-century Québec. We estimated the immigrants’ survival ratio as a proportion of lineages found in the 1931–60 Québec to their number introduced within the immigration period. We assessed the effective family size, EFS, of all immigrant parents and their Québec-born descendants. The survival ratio of the earliest immigrants was the highest and declined over centuries in association with the immigrants’ EFS. Parents with high EFS left plentiful married descendants, putting EFS as the most important variable determining the parental demographic success throughout time for generations ahead. EFS of immigrant founders appears to predict their long-term demographic and, consequently, their genetic outcome. Genealogically inferred immigrants’ "autosomal" genetic contribution to 1931–60 Québec from consecutive immigration periods follow the same yearly pattern as the corresponding maternal and paternal lines. Québec genealogical data offer much broader information on the ancestral diversity distribution than genetic scrutiny of a limited population sample. Genealogically inferred population history could assist studies of evolutionary factors shaping population structure and provide tools to target specific health interventions

X-Linked MTMR8 Diversity and Evolutionary History of Sub-Saharan Populations

The genetic diversity within an 11 kb segment of the MTMR8 gene in a sample of 111 sub-Saharan and 49 non-African X chromosomes was investigated to assess the early evolutionary history of sub-Saharan Africans and the out-of-Africa expansion. The analyses revealed a complex genetic structure of the Africans that contributed to the emergence of modern humans. We observed partitioning of two thirds of old lineages among southern, west/central and east African populations indicating ancient population stratification predating the out of Africa migration. Age estimates of these lineages, older than coalescence times of uniparentally inherited markers, raise the question whether contemporary humans originated from a single population or as an amalgamation of different populations separated by years of independent evolution, thus suggesting a greater antiquity of our species than generally assumed. While the oldest sub-Saharan lineages, ∼500 thousand years, are found among Khoe-San from southern-Africa, a distinct haplotype found among Biaka is likely due to admixture from an even older population. An East African population that gave rise to non-Africans underwent a selective sweep affecting the subcentromeric region where MTMR8 is located. This and similar sweeps in four other regions of the X chromosome, documented in the literature, effectively reduced genetic diversity of non-African chromosomes and therefore may have exacerbated the effect of the demographic bottleneck usually ascribed to the out of Africa migration. Our data is suggestive, however, that a bottleneck, occurred in Africa before range expansion

Genotype-Based Test in Mapping Cis-Regulatory Variants from Allele-Specific Expression Data

Identifying and understanding the impact of gene regulatory variation is of considerable importance in evolutionary and medical genetics; such variants are thought to be responsible for human-specific adaptation [1] and to have an important role in genetic disease. Regulatory variation in cis is readily detected in individuals showing uneven expression of a transcript from its two allelic copies, an observation referred to as allelic imbalance (AI). Identifying individuals exhibiting AI allows mapping of regulatory DNA regions and the potential to identify the underlying causal genetic variant(s). However, existing mapping methods require knowledge of the haplotypes, which make them sensitive to phasing errors. In this study, we introduce a genotype-based mapping test that does not require haplotype-phase inference to locate regulatory regions. The test relies on partitioning genotypes of individuals exhibiting AI and those not expressing AI in a 2×3 contingency table. The performance of this test to detect linkage disequilibrium (LD) between a potential regulatory site and a SNP located in this region was examined by analyzing the simulated and the empirical AI datasets. In simulation experiments, the genotype-based test outperforms the haplotype-based tests with the increasing distance separating the regulatory region from its regulated transcript. The genotype-based test performed equally well with the experimental AI datasets, either from genome–wide cDNA hybridization arrays or from RNA sequencing. By avoiding the need of haplotype inference, the genotype-based test will suit AI analyses in population samples of unknown haplotype structure and will additionally facilitate the identification of cis-regulatory variants that are located far away from the regulated transcript

L’apport des données génétiques à la mesure généalogique des origines amérindiennes des Canadiens français

Dans le cadre d’un programme de recherche sur la diversité génétique des populations régionales du Québec, nous avons mesuré la contribution des ancêtres amérindiens au pool génique de 794 participants résidant dans les régions de Montréal, du Saguenay—Lac-Saint-Jean (SLSJ), de la Gaspésie et de la Côte-Nord. Les ancêtres amérindiens ont été identifiés à partir de reconstructions généalogiques (fichier BALSAC) et de données génétiques (ADN mitochondrial) à l’aide d’une approche qui repose sur l’exploitation conjointe de ces deux types de données. Les résultats indiquent que plus de la moitié des participants ont au moins un ancêtre amérindien dans leur généalogie. Ceci veut dire que la majorité des participants sont porteurs de gènes reçus de fondateurs amérindiens. Cependant la contribution génétique totale de ces ancêtres aux quatre groupes régionaux demeure faible. En effet, elle est de moins de 1 % au SLSJ et à Montréal alors qu’elle dépasse à peine 1 % sur la Côte-Nord et en Gaspésie

Admixed ancestry and stratification of Quebec regional populations

Population stratification results from unequal, nonrandom genetic contribution of ancestors and should be reflected in the underlying genealogies. In Quebec, the distribution of Mendelian diseases points to local founder effects suggesting stratification of the contemporary French Canadian gene pool. Here we characterize the population structure through the analysis of the genetic contribution of 7,798 immigrant founders identified in the genealogies of 2,221 subjects partitioned in eight regions. In all but one region, about 90% of gene pools were contributed by early French founders. In the eastern region where this contribution was 76%, we observed higher contributions of Acadians, British and American Loyalists. To detect population stratification from genealogical data, we propose an approach based on principal component analysis (PCA) of immigrant founders' genetic contributions. This analysis was compared with a multidimensional scaling of pairwise kinship coefficients. Both methods showed evidence of a distinct identity of the northeastern and eastern regions and stratification of the regional populations correlated with geographical location along the St-Lawrence River. In addition, we observed a West-East decreasing gradient of diversity. Analysis of PC-correlated founders illustrates the differential impact of early versus latter founders consistent with specific regional genetic patterns. These results highlight the importance of considering the geographic origin of samples in the design of genetic epidemiology studies conducted in Quebec. Moreover, our results demonstrate that the study of deep ascending genealogies can accurately reveal population structure