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ABSTRACT: Because pathogens are powerful selective agents, host-cell surface molecules used by pathogens as identification signals can reveal the signature of selection. Most of them are oligosaccharides, synthesized by glycosyltransferases. One known example is balancing selection shaping ABO evolution as a consequence of both, A and B antigens being recognized as receptors by some pathogens, and anti-A and/or anti-B natural antibodies produced by hosts conferring protection against the numerous infectious agents expressing A and B motifs. These antigens can also be found in tissues other than blood if there is activity of another enzyme, FUT2, a fucosyltransferase responsible for ABO biosynthesis in body fluids. Homozygotes for null variants at this locus present the nonsecretor phenotype (se), because they cannot express ABO antigens in secretions. Multiple independent mutations have been shown to be responsible for the nonsecretor phenotype, which is coexisting with the secretor phenotype in most populations. In this study, we have resequenced the coding region of FUT2 in 732 individuals from 39 worldwide human populations. We report a complex pattern of natural selection acting on the gene. Although frequencies of secretor and nonsecretor phenotypes are similar in different populations, the point mutations at the base of the phenotypes are different, with some variants showing a long history of balancing selection among Eurasian and African populations, and one recent variant showing a fast spread in East Asia, likely due to positive selection. Thus, a convergent phenotype composition has been achieved through different mutations with different evolutionary histories.
Molecular Biology and Evolution 07/2009; 26(9):1993-2003. · 5.55 Impact Factor
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Elena Bosch,
Hafid Laayouni,
Carlos Morcillo-Suarez,
Ferran Casals,
Andrés Moreno-Estrada, Anna Ferrer-Admetlla,
Michelle Gardner,
Araceli Rosa,
Arcadi Navarro,
David Comas,
Jan Graffelman,
Francesc Calafell,
Jaume Bertranpetit
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ABSTRACT: It is well known that the pattern of linkage disequilibrium varies between human populations, with remarkable geographical stratification. Indirect association studies routinely exploit linkage disequilibrium around genes, particularly in isolated populations where it is assumed to be higher. Here, we explore both the amount and the decay of linkage disequilibrium with physical distance along 211 gene regions, most of them related to complex diseases, across 39 HGDP-CEPH population samples, focusing particularly on the populations defined as isolates. Within each gene region and population we use r2 between all possible single nucleotide polymorphism (SNP) pairs as a measure of linkage disequilibrium and focus on the proportion of SNP pairs with r2 greater than 0.8.
Although the average r2 was found to be significantly different both between and within continental regions, a much higher proportion of r2 variance could be attributed to differences between continental regions (2.8% vs. 0.5%, respectively). Similarly, while the proportion of SNP pairs with r2 > 0.8 was significantly different across continents for all distance classes, it was generally much more homogenous within continents, except in the case of Africa and the Americas. The only isolated populations with consistently higher LD in all distance classes with respect to their continent are the Kalash (Central South Asia) and the Surui (America). Moreover, isolated populations showed only slightly higher proportions of SNP pairs with r2 > 0.8 per gene region than non-isolated populations in the same continent. Thus, the number of SNPs in isolated populations that need to be genotyped may be only slightly less than in non-isolates.
The "isolated population" label by itself does not guarantee a greater genotyping efficiency in association studies, and properties other than increased linkage disequilibrium may make these populations interesting in genetic epidemiology.
BMC Genomics 07/2009; 10:338. · 4.07 Impact Factor
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Martin Sikora, Anna Ferrer-Admetlla,
Hafid Laayouni,
Clara Menendez,
Alfredo Mayor,
Azucena Bardaji,
Betuel Sigauque,
Inacio Mandomando,
Pedro L Alonso,
Jaume Bertranpetit,
Ferran Casals
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ABSTRACT: Malaria in pregnancy forms a substantial part of the worldwide burden of malaria, with an estimated annual death toll of up to 200 000 infants, as well as increased maternal morbidity and mortality. Studies of genetic susceptibility to malaria have so far focused on infant malaria, with only a few studies investigating the genetic basis of placental malaria, focusing only on a limited number of candidate genes. The aim of this study therefore was to identify novel host genetic factors involved in placental malaria infection. To this end we carried out a nested case-control study on 180 Mozambican pregnant women with placental malaria infection, and 180 controls within an intervention trial of malaria prevention. We genotyped 880 SNPs in a set of 64 functionally related genes involved in glycosylation and innate immunity. A single nucleotide polymorphism (SNP) located in the gene FUT9, rs3811070, was significantly associated with placental malaria infection (odds ratio = 2.31, permutation P-value=0.028). Haplotypic analysis revealed a similarly strong association of a common haplotype of four SNPs including rs3811070. FUT9 codes for a fucosyl-transferase that is catalyzing the last step in the biosynthesis of the Lewis-x antigen, which forms part of the Lewis blood group-related antigens. These results therefore suggest an involvement of this antigen in the pathogenesis of placental malaria infection.
Human Molecular Genetics 06/2009; 18(16):3136-44. · 7.64 Impact Factor
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ABSTRACT: The GT6 glycosyltransferases gene family, that includes the ABO blood group, shows a complex evolution pattern, with multiple events of gain and loss in different mammal species. In humans the ABO gene is considered the sole functional member although the O allele is null and is fixed in certain populations. Here, we analyze the human GT6 pseudogene sequences (Forssman, IGB3, GGTA1, GT6m5, GT6m6, and GT6m7) from an evolutionary perspective, by the study of (i) their diversity levels in populations through the resequencing analysis of European and African individuals; (ii) the interpopulation differentiation, with genotyping data from a survey of populations covering most of human genetic diversity; and (iii) the interespecific divergence, by the comparison of the human and some other primate species sequences. Since pseudogenes are expected to evolve under neutrality, they should show an evolutionary pattern different to that of functional sequences, with higher levels of diversity as well as a ratio of nonsynonymous to synonymous changes close to 1. We describe some departures from these expectations, including selection for inactivation in IGB3, GGTA1, and the interesting case of FS (Forssman) with a probable shift of its initial function in the primate lineage, which put it apart from a pure neutral pseudogene. These results suggest that some of these GT6 human pseudogenes may still be functional and retain some valuable unknown function in humans, in some case even at the protein level. The evolutionary analysis of all members of the GT6 family in humans allows an insight into their functional history, a process likely due to the interaction of the host glycans that they synthesize with pathogens; the past process that can be unraveled through the footprints left by natural selection in the extant genome variation.
Glycobiology 03/2009; 19(6):583-91. · 3.58 Impact Factor
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Anna Ferrer-Admetlla,
Elena Bosch,
Martin Sikora,
Tomàs Marquès-Bonet,
Anna Ramírez-Soriano,
Aura Muntasell,
Arcadi Navarro,
Ross Lazarus,
Francesc Calafell,
Jaume Bertranpetit,
Ferran Casals
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ABSTRACT: The evolutionarily recent geographic expansion of humans, and the even more recent development of large, relatively dense human settlements, has exposed our species to new pathogenic environments. Potentially lethal pathogens are likely to have exerted important selective pressures on our genome, so immunity genes can be expected to show molecular signatures of the adaptation of human populations to these recent conditions. While genes related to the acquired immunity system have indeed been reported to show traces of local adaptation, little is known about the response of the innate immunity system. In this study, we analyze the variability patterns in different human populations of fifteen genes related to innate immunity. We have used both single nucleotide polymorphism and sequence data, and through the analysis of interpopulation differentiation, the linkage disequilibrium pattern, and intrapopulation diversity, we have discovered some signatures of positive and especially balancing selection in these genes, thus confirming the importance of the immune system genetic plasticity in the evolutionary adaptive process. Interestingly, the strongest evidence is found in three TLR genes and CD14. These innate immunity genes play a pivotal role, being involved in the primary recognition of pathogens. In general, more evidences of selection appear in the European populations, in some case possibly related to severe population specific pressures. However, we also describe evidence from African populations, which may reflect parallel or long-term selective forces acting in different geographic areas.
The Journal of Immunology 08/2008; 181(2):1315-22. · 5.79 Impact Factor
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Carlos Morcillo-Suarez,
Josep Alegre,
Ricardo Sangros,
Elodie Gazave,
Rafael de Cid,
Roger Milne,
Jorge Amigo, Anna Ferrer-Admetlla,
Andrés Moreno-Estrada,
Michelle Gardner,
Ferran Casals,
Anna Pérez-Lezaun,
David Comas,
Elena Bosch,
Francesc Calafell,
Jaume Bertranpetit,
Arcadi Navarro
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ABSTRACT: Single nucleotide polymorphisms (SNPs) are the most widely used marker in studies to assess associations between genetic variants and complex traits or diseases. They are also becoming increasingly important in the study of the evolution and history of humans and other species. The analysis and processing of SNPs obtained thanks to high-throughput technologies imply the time consuming and costly use of different, complex and usually format-incompatible software. SNPator is a user-friendly web-based SNP data analysis suite that integrates, among many other algorithms, the most common steps of a SNP association study. It frees the user from the need to have large computer facilities and an in depth knowledge of genetic software installation and management. Genotype data is directly read from the output files of the usual genotyping platforms. Phenotypic data on the samples can also be easily uploaded. Many different quality control and analysis procedures can be performed either by using built-in SNPator algorithms or by calling standard genetic software. AVAILABILITY: Access is granted from the SNPator webpage http://www.snpator.org.
Bioinformatics 08/2008; 24(14):1643-4. · 5.47 Impact Factor
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ABSTRACT: Pseudogenes have classically been considered inactive sequences evolving under neutrality. In recent years, however, a growing body of evidence is favoring the appearance of hypotheses attributing a functional role to pseudogenes. One of these hypotheses is that the silencing of a gene could produce a loss of function that could have been favored by natural selection. Here, we analyzed the pace of pseudogenization of arpAT, an L-DOPA transporter related to the neurotransmitter function of this amino acid in the brain. While active in rodent, dog, and chicken, arpAT has been silenced during primate evolution. Given the high number of inactivating mutations described in humans, it is possible that there have been selective pressures favoring this silencing. Through analysis of orthologous sequences in several primate species, we show that the silencing of arpAT occurred approximately 77 million to 90 million years ago, and that the observed mutation pattern is likely a consequence of its antiquity.
Journal of Molecular Evolution 07/2008; 67(1):23-8. · 2.27 Impact Factor
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ABSTRACT: Placental malaria is a special form of malaria that causes up to 200,000 maternal and infant deaths every year. Previous studies show that two receptor molecules, hyaluronic acid and chondroitin sulphate A, are mediating the adhesion of parasite-infected erythrocytes in the placenta of patients, which is believed to be a key step in the pathogenesis of the disease. In this study, we aimed at identifying sites of malaria-induced adaptation by scanning for signatures of natural selection in 24 genes in the complete biosynthesis pathway of these two receptor molecules. We analyzed a total of 24 Mb of publicly available polymorphism data from the International HapMap project for three human populations with European, Asian and African ancestry, with the African population from a region of presently and historically high malaria prevalence. Using the methods based on allele frequency distributions, genetic differentiation between populations, and on long-range haplotype structure, we found only limited evidence for malaria-induced genetic adaptation in this set of genes in the African population; however, we identified one candidate gene with clear evidence of selection in the Asian population. Although historical exposure to malaria in this population cannot be ruled out, we speculate that it might be caused by other pathogens, as there is growing evidence that these molecules are important receptors in a variety of host-pathogen interactions. We propose to use the present methods in a systematic way to help identify candidate regions under positive selection as a consequence of malaria.
Human Genetics 06/2008; 123(4):343-57. · 5.07 Impact Factor
