Principle investigator

Dr. Christian Timmann


Fon:
040 42818 516

Fax:
040 42818 512

eMail

Address:
BNI Hamburg
Bernhard-Nocht-Strasse 74
20359 Hamburg
Logo BMBF
 
Logo NGFN
Home
_
Identification of human genetic variants mediating resistance to Plasmodium falciparum parasitaemia

PDF

Introduction
The number of episodes of clinical illness caused by the malaria parasite Plasmodium falciparum worldwide had been underestimated for years but was recently corrected to an estimate of 515 million episodes of clinical malaria per year (1).
In contrast to the number of studies on clinical malaria complications, parasitaemia or mild clinical malaria have not been analysed in great detail regarding the influence of human genetic factors. The major reason may be that they require laborious and expensive longitudinal assessment of phenotypes. In addition, mild clinical malaria is difficult to investigate in endemic areas where virtually all children frequently carry malaria parasites in their blood and show only statistically elevated parasitaemias during malaria attacks (2). The parasitaemia of Plasmodium trophozoites is central to malaria pathogenesis, transmission and acquired immunity. The classical malaria resistance factors of haemoglobin (Hb) S and C have been shown to have protective effects on parasitaemia and mild clinical malaria (3,4).
Segregation analyses of parasitaemia and mild disease episodes showed a complex inheritance model, whereby the predominant effect of genetic factors was on childhood malaria (5,6). Two previous linkage studies have addressed candidate genomic regions. They provided and supported, respectively, evidence for linkage to the cytokine-gene cluster on human chromosome 5q31-q33 (7,8).
We conducted a family-based longitudinal study to perform genome-wide linkage analyses on the phenotypes of mild clinical malaria and blood-stage parasite density. Additional phenotypes including anaemia and spleen enlargement as well as the sampling of parasite isolates were included to further refine the malaria phenotypes.

Project Status
Linkage study
A study cohort has been selected, phenotyped and subjected to genome-wide marker analysis in DHGP/NGFN1.
(i) Selection: 2652 parental pairs with at least 3 offspring aged 0.5-12 years resident in a hyperendemic malaria area in Ghana, West Africa, were screened not to segregate any of the known or presumed malaria resistance factors of Hb S and C, alpha-thalassaemia 3.7del and glucose-6-phosphate-dehydrogenase deficiency A-. 129 families fulfilled the criteria (463 offspring in total). During phenotyping for malaria, malaria protection by window screens or the use of bednets was recorded. Since the group protected by window screens showed significantly lower parasitaemias, it was excluded from further analyses. Prior to malaria phenotyping, all children were treated for hookworm infection and with iron supplementation.
(ii) Phenotyping: The children were followed over 31 weeks during an entire rainy season including weekly reports of clinical episodes suggestive of malaria and malaria treatments, temperature recordings and parasite counting as well as biweekly haematocrit determinations (Fig. 1). The biweekly blood specimens were preserved. With 14,294 out of 14,415 total attendances, compliance was > 99%. So far, parasitological phenotypes and phenotypes for clinical illness clinical have been defined.
(iii) Genetic study group: Familial relationships have been tested using short-tandem-repeat (STR) markers. Exclusion of families or children with incompatibilities resulted in 105 nuclear families with 372 siblings (502 sibpairs) of whom both parents are available for genotyping (582 individuals in total). These can be investigated for linkage, association and haplotype sharing with quantitative traits.

Fig 1: Weekly visits to villages to assess the phenotypes of parasite density and clinical illness in African children. The visits included medical care and treatment.

(iv) Genotyping: A subgroup of 376 individuals comprising 240 siblings (328 sibpairs) from 68 families have been selected according to their phenotypic variability and included for genome-wide typing using 10,000 genome-wide SNP markers (Affymetrix). The scan was performed at the DHGP/NGFN genotyping platform.
(v) Preliminary results: A number of five genomic regions with significant linkage (Z-scores of modell-free linkage > 3.5) for phenotypes of parasite densities and episodes of clinical illness were identified. In addition the most promising linkage region for the latter phenotype was confirmed  (Z-score > 3.0) in the complete study group by the use of 20 STRs. In preparation for a gene identification procedure a number of 5000 verified SNPs (with emphasis on coding SNPs, SNPs with from splice sides and those from promoter or 3’ untranslated regions) were selected from public databases (NCBI, Perlegen Sciences, and CHIP Bioinformatics Tools) in a 2.15 Z support region (eqivalent to a LOD of 1.0). At present a gene identification procedure in the genomic region that will yield most significant evidence for linkage with clinical malaria illness is conducted. It will comprise the genotyping of 1000 SNP loci at the NGFN genotyping platform.

A new test for alpha+-thalassemias
Thalassemias are among the most common monogenic disorders of humans. They are characterized by a reduced synthesis of one of the hemoglobin protein chains and cause anemia. Alpha-thalassemias result in the vast majority of cases from large deletions at the alpha-globin locus. The alpha0-thalassemias are characterized by deletions that inactivate both alpha-globin genes (HBA) of a given chromosome, whereas in alpha+-thalassemias, one gene remains functional.
Existing genotyping methods rely on Southern blot hybridization, which is laborious and expensive, or use gap PCRs, which have some limitations due to (i) the amplification of long GC-rich sequences, (ii) the requirement of the use of deletion-type specific primers and (iii) the risk that alleles may be amplified from minimal contaminations. Both methods could not easily be adapted to high throughput applications. Quantitative PCR has been proposed to avoid these problems. But, because of limited sensitivity, however,
real-time PCR approaches have been successful only for
the diagnosis of  alpha0-thalassemias.

Fig 2: Genotyping for alpha+-thalassemias by melting curve analysis of oligonucleotide hybridisation.The genotypes of alpha+-thalassemia (wildtype, heterozygousity, homo-zygousity) for a 3.7 kb deletion showed clearly dicernible results if a fluorescence-resonance energy transfer method was used to assess the intensity of hybridisation of a fluorochrome-labelled oligonucleotide with PCR-amplicons of the hemoglobin genes (HBA1 and HBA2). The first derivation of the intensity of hybridisation (dI/dT) was plotted versus the temperature (T) to show the genotypic differences in the hybridizarion pattern. The  peaks at lower temperature (left) show the melting of HBA1 , those  at higher temperature (right) of HBA2.

We developed an assay (9) which reproducibly detects heterozygous and homozygous alpha+ thalassemias. Single nucleotide exchanges between the 3`-untranslated regions of the two #lpha-globin genes were used to design an oligo-nucleotide probe which, if subjected to a melting curve analysis, allowed to estimate the copy numbers of the two genes individually (Fig. 2). The new test is rapid, cheap, requires a minimal blood volume, can be performed in a single test tube, identifies the vast majority of affected individuals and is resistant to fetal/maternal contamination. It was sucessfully adapted to microtiter plate processing and was used for the genotyping of the alpha thalassemia 3.7 kb deletion in our study population.

Combining this assay with the previously described real-time PCRs for the diagnosis of alpha0 thalassemias may become the method of choice for the diagnosis of #lpha-thalassemias.

Outlook
It is anticipated that the positional cloning procedure will result in the identification of additional genetic variants in candidate genes by re-sequencing. Genetic variants which show association with the phenotype in QTDT tests in this study will be confirmed by analysing a pilot study and will in addition be tested as to whether there is an effect on severe and complicated malaria in an other NGFN project. The identification of novel malaria resistance factors could unravel pathways involved in the pathophysiology of malaria, which would be of global medical importance.

Lit.: 1. Snow RW et al. The global distribution of clinical episodes of Plasmodium falciparum malaria. Nature. 2005;434:214-217.  2. Rogier C et al. Evidence for an age-dependent pyrogenic threshold of Plasmodium falciparum parasitemia in highly endemic populations. Am J Trop Med Hyg. 1996; 54:613-619. 3. Aidoo M et al. Protective effects of the sickle cell gene against malaria morbidity and mortality. Lancet. 2002; 359:1311-1312. 4. Rihet P et al. Hemoglobin C is associated with reduced Plasmodium falciparum parasitemia and low risk of mild malaria attack. Hum Mol Genet. 2004; 13:1-6. 5. Garcia A et al. Genetic control of blood infection levels in human malaria: evidence for a complex genetic model. Am J Trop Med Hyg 1998; 58:480-488. 6. Rihet P et al. Human malaria: segregation analysis of blood infection levels in a suburban area and a rural area in Burkina Faso. Genet Epidemiol 1998; 15:435-450. 7. Garcia A et al. Linkage analysis of blood Plasmodium falciparum levels: interest of the 5q31-q33 chromosome region. Am J Trop Med Hyg 1998; 58:705-709. 8. Rihet P et al. Malaria in humans: Plasmodium falciparum blood infection levels are linked to chromosome 5q31-q33. Am J Hum Genet 1998; 63:498-505. 9. Timmann C et al. Diagnosis of alpha+ thalassemias by determining the ratio of the two alpha globin gene copies by oligonucleotide hybridization and melting curve analysis. Clin Chem. 2005; 51:1711-1713.

Members of the study team include Edmund Browne, Yeetey Enuameh, Jennifer Evans, Birgit Foerster, Rolf Horstmann, Andre Kleensang, Inke Konig, Kingsley Osei Kwakye, Birgit Muntau, Peter Nurnberg, Ernest Opoku, Frank Ruschendorf, Jurgen Sievertsen, Andreas Ziegler, and many more.
Photography: Mika Väisänen (
www.mika-photography.de)