Dataset Information

Nepalese populations show no association between the distribution of malaria and protective alleles.

ABSTRACT: Malaria is perhaps the most important parasitic infection and strongest known force for selection in the recent evolutionary history of the human genome. Genetically-determined resistance to malaria has been well-documented in some populations, mainly from Africa. The disease is also endemic in South Asia, the world's second most populous region, where resistance to malaria has also been observed, for example in Nepal. The biological basis of this resistance, however, remains unclear. We have therefore investigated whether known African resistance alleles also confer resistance in Asia. We typed seven single nucleotide polymorphisms (SNPs) from the genes HBB, FY, G6PD, TNFSF5, TNF, NOS2 and FCGR2A in 928 healthy individuals from Nepal. Five loci were found to be fixed for the non-resistant allele (HBB, FY, G6PD, TNFSF5 and NOS2). The remaining two (rs1800629 and rs1801274) showed the presence of the resistant allele at a frequency of 93% and 27% in TNF and FCGR2A, respectively. However, the frequencies of these alleles did not differ significantly between highland (susceptible) and lowland (resistant) populations. The observed differences in allele and genotype frequencies in Nepalese populations therefore seem to reflect demographic processes or other selective forces in the Himalayan region, rather than malaria selection pressure actin on these alleles.

SUBMITTER: Caetano CP

PROVIDER: S-EPMC2684443 | biostudies-literature | 2006 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Nepalese populations show no association between the distribution of malaria and protective alleles.

Caetano Cátia P CP Kraaijenbrink Thirsa T Tuladhar Nirmal M NM van Driem George L GL de Knijff Peter P Tyler-Smith Chirs C Carvalho-Silva Denise R DR

Journal of molecular and genetic medicine : an international journal of biomedical research 20061101 1

Malaria is perhaps the most important parasitic infection and strongest known force for selection in the recent evolutionary history of the human genome. Genetically-determined resistance to malaria has been well-documented in some populations, mainly from Africa. The disease is also endemic in South Asia, the world's second most populous region, where resistance to malaria has also been observed, for example in Nepal. The biological basis of this resistance, however, remains unclear. We have th ...[more]

PMID: 19461987

Similar Datasets

Project description:BackgroundThe geographic overlap between HIV-1 and malaria has generated much interest in their potential interactions. A variety of studies have evidenced a complex HIV-malaria interaction within individuals and populations that may have dramatic effects, but the causes and implications of this co-infection at the population level are still unclear. In a previous publication, we showed that the prevalence of malaria caused by the parasite Plasmodium falciparum is associated with HIV infection in eastern sub-Saharan Africa. To complement our knowledge of the HIV-malaria co-infection, the objective of this work was to assess the relationship between malaria and HIV prevalence in the western region of sub-Saharan Africa.Methodology/principal findingsPopulation-based cross-sectional data were obtained from the HIV/AIDS Demographic and Health Surveys conducted in Burkina Faso, Ghana, Guinea, Mali, Liberia and Cameroon, and the malaria atlas project. Using generalized linear mixed models, we assessed the relationship between HIV-1 and Plasmodium falciparum parasite rate (PfPR) adjusting for important socio-economic and biological cofactors. We found no evidence that individuals living in areas with stable malaria transmission (PfPR>0.46) have higher odds of being HIV-positive than individuals who live in areas with PfPR≤0.46 in western sub-Saharan Africa (estimated odds ratio 1.14, 95% confidence interval 0.86-1.50). In contrast, the results suggested that PfPR was associated with being infected with HIV in Cameroon (estimated odds ratio 1.56, 95% confidence interval 1.23-2.00).Conclusion/significanceContrary to our previous research on eastern sub-Saharan Africa, this study did not identify an association between PfPR and infection with HIV in western sub-Saharan Africa, which suggests that malaria might not play an important role in the spread of HIV in populations where the HIV prevalence is low. Our work highlights the importance of understanding the epidemiologic effect of co-infection and the relevant factors involved in this relationship for the implementation of effective control strategies.

Dataset Information

Nepalese populations show no association between the distribution of malaria and protective alleles.

Publications

Nepalese populations show no association between the distribution of malaria and protective alleles.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets