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Anna Di Rienzo

Publications and source records attributed to Anna Di Rienzo.

15 recordsLinked to original sources

Combining sperm typing and linkage disequilibrium analyses reveals differences in selective pressures or recombination rates across human populations.

A previous polymorphism survey of the type 2 diabetes gene CAPN10 identified a segment showing an excess of polymorphism levels in all population samples, coinciding with localized breakdown of linkage disequilibrium (LD) in a sample of Hausa from Cameroon, but not in non-African samples. This raised the possibility that a recombination hotspot is present in all populations and we had insufficient power to detect it in the non-African data. To test this possibility, we estimated the crossover rate by sperm typing in five non-African men; these estimates were consistent with the LD decay in the non-African, but not in the Hausa data. Moreover, resequencing the orthologous region in a sample of Western chimpanzees did not show either an excess of polymorphism level or rapid LD decay, suggesting that the processes underlying the patterns observed in humans operated only on the human lineage. These results suggest that a hotspot of recombination has recently arisen in humans and has reached higher frequency in the Hausa than in non-Africans, or that there is no elevation in crossover rate in any human population, and the observed variation results from long-standing balancing selection.

Animals↗

Sequence diversity at the proximal 14q32.1 SERPIN subcluster: evidence for natural selection favoring the pseudogenization of SERPINA2.

The superfamily of serine protease inhibitors (SERPINs) plays a key role in controlling the activity of proteinases in diverse biological processes. alpha1-antitrypsin (SERPINA1), the most studied member of this family, is encoded by a gene located within the proximal 14q32.1 SERPIN subcluster, together with the highly homologous alpha1-antitrypsin-like sequence (SERPINA2), which was previously proposed to be a pseudogene. Here, we performed a resequencing study encompassing both SERPINA1 and SERPINA2 as well as the adjacent gene coding for corticosteroid-binding globulin (SERPINA6) in samples from Europe and West Africa. In the African sample, we found that a common haplotype carrying a 2-kb deletion in the SERPINA2 gene is associated with remarkable long-range homozygozity as if it was quickly driven to high frequency by natural selection acting on an advantageous variant. An analysis of the HapMap Phase I data for the Yoruba sample confirmed that variation in this subcluster carries a strong signal of positive selection. We also show that the SERPINA2 gene is expressed and probably encodes a functional SERPIN. Finally, comparisons with orthologous sequences in nonhuman primates showed that SERPINA2 is present in some great apes, but in chimpanzees it was lost by a deletion event independent from that observed in humans. In agreement with the "less is more" hypothesis, we propose that loss of SERPINA2 is an ongoing process associated with a selective advantage during recent primate evolution, possibly because of a role in fertility or in host-pathogen interactions.

Africa↗

Population genetics models of common diseases.

The number and frequency of susceptibility alleles for common diseases are important factors to consider in the efficient design of disease association studies. These quantities are the results of the joint effects of mutation, genetic drift and selection. Hence, population genetics models, informed by empirical knowledge about patterns of disease variation, can be used to make predictions about the allelic architecture of common disease susceptibility and to gain an overall understanding about the evolutionary origins of such diseases. Equilibrium models and empirical studies suggest a role for both rare and common variants. In addition, increasing evidence points to changes in selective pressures on susceptibility genes for common diseases; these findings are likely to form the basis for further modeling studies.

Genetic Predisposition to Disease↗

A common haplotype of the glucokinase gene alters fasting glucose and birth weight: association in six studies and population-genetics analyses.

Fasting glucose is associated with future risk of type 2 diabetes and ischemic heart disease and is tightly regulated despite considerable variation in quantity, type, and timing of food intake. In pregnancy, maternal fasting glucose concentration is an important determinant of offspring birth weight. The key determinant of fasting glucose is the enzyme glucokinase (GCK). Rare mutations of GCK cause fasting hyperglycemia and alter birth weight. The extent to which common variation of GCK explains normal variation of fasting glucose and birth weight is not known. We aimed to comprehensively define the role of variation of GCK in determination of fasting glucose and birth weight, using a tagging SNP (tSNP) approach and studying 19,806 subjects from six population-based studies. Using 22 tSNPs, we showed that the variant rs1799884 is associated with fasting glucose at all ages in the normal population and exceeded genomewide levels of significance (P=10-9). rs3757840 was also highly significantly associated with fasting glucose (P=8x10-7), but haplotype analysis revealed that this is explained by linkage disequilibrium (r2=0.2) with rs1799884. A maternal A allele at rs1799884 was associated with a 32-g (95% confidence interval 11-53 g) increase in offspring birth weight (P=.002). Genetic variation influencing birth weight may have conferred a selective advantage in human populations. We performed extensive population-genetics analyses to look for evidence of recent positive natural selection on patterns of GCK variation. However, we found no strong signature of positive selection. In conclusion, a comprehensive analysis of common variation of the glucokinase gene shows that this is the first gene to be reproducibly associated with fasting glucose and fetal growth.

Adult↗

Interrogating multiple aspects of variation in a full resequencing data set to infer human population size changes.

We present an expanded data set of 50 unlinked autosomal noncoding regions, resequenced in samples of Hausa from Cameroon, Italians, and Chinese. We use these data to make inferences about human demographic history by using a technique that combines multiple aspects of genetic data, including levels of polymorphism, the allele frequency spectrum, and linkage disequilibrium. We explore an extensive range of demographic parameters and demonstrate that our method of combining multiple aspects of the data results in a significant reduction of the compatible parameter space. In agreement with previous reports, we find that the Hausa data are compatible with demographic equilibrium as well as a set of recent population expansion models. In contrast to the Hausa, when multiple aspects of the data are considered jointly, the non-Africans depart from an equilibrium model of constant population size and are compatible with a range of simple bottleneck models, including a 50-90% reduction in effective population size occurring some time after the appearance of modern humans in Africa 160,000-120,000 years ago.

Cameroon↗

An evolutionary framework for common diseases: the ancestral-susceptibility model.

Unlike rare mendelian diseases, which are due to new mutations (i.e. derived alleles), several alleles that increase the risk to common diseases are ancestral. Moreover, population genetics studies suggest that some derived alleles that protect against common diseases became advantageous recently. These observations can be explained within an evolutionary framework in which ancestral alleles reflect ancient adaptations to the lifestyle of ancient human populations, whereas the derived alleles were deleterious. However, with the shift in environment and lifestyle, the ancestral alleles now increase the risk of common diseases in modern populations. In this article, we develop an explicit evolutionary model and use population genetics simulations to investigate the expected haplotype structure and type of disease-association signals of ancestral risk alleles.

Alleles↗

Haplotype structure and phylogenetic shadowing of a hypervariable region in the CAPN10 gene.

It has been proposed that variation in calpain 10 (CAPN10) contributes to the risk of type 2 diabetes (T2D). A previous survey of CAPN10 in ethnically diverse populations revealed an intronic region with a significant excess of polymorphism levels relative to inter-species sequence divergence, suggesting that this region was the target of long-standing balancing selection. Based on the thrifty genotype hypothesis, variation that increases risk to T2D in contemporary humans at one time conferred a survival advantage in ancestral populations. Thus, the signature of positive natural selection in a T2D candidate gene could identify a genomic region containing variation that influences disease susceptibility. Here, we investigate this hypothesis by re-sequencing the CAPN10 region with unusual polymorphism levels in T2D cases and controls (n=91) from a Mexican American (MA) population, and by using networks to infer the evolutionary relationships between the major haplotypes. Haplotype tag SNPs (htSNPs) were then selected in each population sample and in MA cases and controls. By placing the htSNPs on the haplotype network, we investigate how cross-population differences in CAPN10 genetic architecture may affect the detection of the disease association. Interestingly, despite the small scale of our case-control study, we observe a nearly significant signal of association between T2D and variation in the putative target of balancing selection. Finally, we use phylogenetic shadowing across 10 primate species to search for conserved non-coding elements that may affect the expression and function of CAPN10. These elements are postulated to be the targets of long-standing balancing selection.

Animals↗

Functional constraints on the constitutive androstane receptor inferred from human sequence variation and cross-species comparisons.

Members of the NR1I subfamily of nuclear receptors play a role in the transcriptional activation of genes involved in drug metabolism and transport. NR1I3, the constitutive androstane receptor (CAR), mediates the induction of several genes involved in drug response, including members of the CYP3A, CYP2B and UGT1A subfamilies. Large inter-individual variation in drug clearance has been reported for many drug metabolising enzyme genes. Sequence variation at the CAR locus could potentially contribute to variation in downstream targets, as well as to the substantial variation in expression level reported. We used a comparative genomics-based approach to select resequencing segments in 70 subjects from three populations. We identified 21 polymorphic sites, one of which results in an amino acid substitution. Our study reveals a common haplotype shared by all three populations which is remarkably similar to the ancestral sequence, confirming that CAR is under strong functional constraints. The level and pattern of sequence variation is approximately similar across populations, suggesting that interethnic differences in drug metabolism are not likely to be due to genetic variation at the CAR locus. We also identify several common non-coding variants that occur at highly conserved sites across four major branches of the mammalian phylogeny, suggesting that they may affect CAR expression and, ultimately, the activity of its downstream targets.

Animals↗

Comparative linkage-disequilibrium analysis of the beta-globin hotspot in primates.

Recombination rates vary both across the genome and between different species, but little information is available about the temporal and physical scales over which such rates change. To shed light on these questions, we performed a high-resolution analysis of a genomic region within the beta-globin gene cluster that is known to experience elevated recombination rates in humans. For this purpose, we developed new linkage disequilibrium-based methods that thoroughly search for subsets of the data with unusually high or unusually low estimated values of the population-recombination parameter (4Nr, where N is the effective population size and r is the crossover rate between adjacent base pairs). By resequencing a 15-kb segment in a human population sample, we were able to narrow the recombinational hotspot to a segment <2 kb in length that coincides with the beta-globin replication origin. In addition, we analyzed the orthologous region in samples of rhesus macaques and common chimpanzees. Whereas the analysis of the chimpanzee data is complicated by the sample structure, the macaque data imply that this region may not be a hotspot in that species. These results suggest a time scale for the evolution of hotspots in primates. Furthermore, they allow us to propose diverged sequence elements that may contribute to the differences in the recombinational landscape in the two species.

Animals↗

Geographic and haplotype structure of candidate type 2 diabetes susceptibility variants at the calpain-10 locus.

Recently, a positional cloning study proposed that haplotypes at the calpain-10 locus (CAPN10) are associated with increased risk of type 2 diabetes, or non-insulin-dependent diabetes mellitus, in Mexican Americans, Finns, and Germans. To inform the interpretation of the original mapping results and to look for evidence for the action of natural selection on CAPN10, we undertook a population-based genotyping survey of the candidate susceptibility variants. First, we genotyped sites 43, 19, and 63 (the haplotype-defining variants previously proposed) and four closely linked SNPs, in 561 individuals from 11 populations from five continents, and we examined the linkage disequilibrium among them. We then examined the ancestral state of these sites by sequencing orthologous portions of CAPN10 in chimpanzee and orangutan (the identity of sites 43 and 19 was further investigated in a limited sample of other great apes and Old World and New World monkeys). Our survey suggests larger-than-expected differences in the distribution of CAPN10 susceptibility variants between African and non-African populations, with common, derived haplotypes in European and Asian samples (including one of two proposed risk haplotypes) being rare or absent in African samples. These results suggest a history of positive natural selection at the locus, resulting in significant geographic differences in polymorphism frequencies. The relationship of these differences to disease risk is discussed.

Africa↗

Linkage disequilibrium and age estimates of a deletion polymorphism (1597DeltaC) in HLA-G suggest non-neutral evolution.

A single base deletion in HLA-G (1597DeltaC) that is a null allele for the full-length protein is found at frequencies of 6%-11% in populations of African descent. To test the null hypothesis that 1597DeltaC "drifted" to this frequency by neutral evolutionary processes, we compared the pattern of variation and linkage disequilibrium (LD) around this allele and around a conservative amino acid replacement polymorphism in HLA-G (T31S) in African-Americans and Nigerians. There was no significant LD between the 31S allele and flanking STRPs at 150-200 kb in either sample, but significant LD was observed between the 1597DeltaC allele and the same flanking STRPs (p < 0.001 in both samples). To further characterize the evolutionary history of these variants, age estimates were determined assuming evolutionary neutrality. If these alleles were neutral, their frequencies indicate that they arose approximately 9500 (95% CI = 1557, 17557) generations ago (200,000 years). However, using LD to estimate the allele age, the 1597DeltaC allele was estimated to have arisen only 744 (95% CI = 375,2713) generations ago (18,000 years ago), whereas the 31S allele has a much older estimate of 3241 (95% CI = 1680, 20500) generations ago (81,000 years ago). These data suggest that these two polymorphisms in the HLA-G gene have had different evolutionary histories. We propose that natural selection has acted on the 1597DeltaC allele.

Africa, Western↗

Inferences about human demography based on multilocus analyses of noncoding sequences.

Data from 10 unlinked autosomal noncoding regions, resequenced in 15 individuals from each of three populations, were used in a multilocus analysis to test models of human demography. Each of the 10 regions consisted of approximately 2500 bp. The multilocus analysis, based on summary statistics (average and variance of Tajima's D and Fu and Li's D*), was used to test a family of models with recent population expansion. The African sample (Hausa of Cameroon) is compatible with a constant population size model and a range of models with recent expansion. For this population sample, we estimated confidence sets that showed the limited range of parameter values compatible with growth. For an exponential growth rate as low as 1 x 10(-3)/generation, population growth is unlikely to have started prior to 50,000 years ago. For higher growth rates, the onset of growth must be more recent. On the basis of the average value of Tajima's D, our sample from an Italian population was found to be incompatible with a constant population size model or any simple expansion model. In the Chinese sample, the variance of Tajima's D was too large to be compatible with the constant population size model or any simple expansion model.

Base Pairing↗

Haplotype structure of the UDP-glucuronosyltransferase 1A1 promoter in different ethnic groups.

Genetic variation in UDP-glucuronosyltransferase 1A1 (UGT1A1)expression has several important clinical implications. UGT1A1 basal transcription is affected by a polymorphic (TA)n repeat, and another important regulatory element is the phenobarbital-responsive enhancer module (PBREM) which might contain variants affecting inducible gene expression. We assessed the extent of linkage disequilibrium between the (TA)n polymorphism and variants in the PBREM and UGT1A1 promoter. We also investigated the relationship between PBREM-(TA)n haplotypes and the glucuronidation rate of the UGT1A1 substrate SN-38. DNAs from 83 human livers were genotyped for the (TA)n polymorphism and microsomes from the same livers were phenotyped for SN-38 glucuronidation. The (TA)n polymorphism was genotyped in 24 additional African-Americans included in the Human Variation Panel (Coriell Institute). A 606-bp region spanning the PBREM was sequenced in 81 liver and a subset of 22 Human Variation Panel DNAs and six variants were found. The -3279G T and -3156G A variants are common (0.39 and 0.30, respectively). -3279G T is more common in Caucasians than African-Americans (P = 0.001). In Caucasians, linkage disequilibrium was highly significant between sites -3279, -3156, and the (TA)n polymorphism (P < 0.0001). In contrast, in African-Americans, only marginal levels of significance were observed between (TA)n and -3279 (P = 0.02) and between -3279 and -3156 (P = 0.04). Ten promoter haplotypes were identified. Haplotype I is the most common (0.39), from which haplotype II (0.15) differs at position -3279. SN-38G formation rates were correlated with (TA)n genotypes. This study showed that (i) common promoter variants are in linkage disequilibrium and (ii) the haplotype structure of promoter is probably different between Caucasians and African-Americans.

Black or African American↗

Complex signatures of natural selection at the Duffy blood group locus.

The Duffy blood group locus (FY) has long been considered a likely target of natural selection, because of the extreme pattern of geographic differentiation of its three major alleles (FY*B, FY*A, and FY*O). In the present study, we resequenced the FY region in samples of Hausa from Cameroon (fixed for FY*O), Han Chinese (fixed for FY*A), Italians, and Pakistanis. Our goals were to characterize the signature of directional selection on FY*O in sub-Saharan Africa and to understand the extent to which natural selection has also played a role in the extreme geographic differentiation of the other derived allele at this locus, FY*A. The data from the FY region are compared with the patterns of variation observed at 10 unlinked, putatively neutral loci from the same populations, as well as with theoretical expectations from the neutral-equilibrium model. The FY region in the Hausa shows evidence of directional selection in two independent properties of the data (i.e., level of sequence variation and frequency spectrum), observations that are consistent with the FY*O mutation being the target. The Italian and Chinese FY data show patterns of variation that are very unusual, particularly with regard to frequency spectrum and linkage disequilibrium, but do not fit the predictions of any simple model of selection. These patterns may represent a more complex and previously unrecognized signature of positive selection.

Alleles↗