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. 2009 Oct 8;4(10):e7381. doi: 10.1371/journal.pone.0007381

Heritability of Antibody Isotype and Subclass Responses to Plasmodium falciparum Antigens

Nancy O Duah 1,2, Helen A Weiss 1, Annette Jepson 2, Kevin K A Tetteh 1, Hilton C Whittle 2, David J Conway 1,2,*
Editor: Laurent Rénia3
PMCID: PMC2753646  PMID: 19812685

Abstract

Background

It is important to understand the extent to which genetic factors regulate acquired immunity to common infections. A classical twin study design is useful to estimate the heritable component of variation in measurable immune parameters.

Methodology/Principal Findings

This study assessed the relative heritability of different plasma antibody isotypes and subclasses (IgG1, IgG2, IgG3, IgG4, IgM, IgA and IgE) naturally acquired to P. falciparum blood stage antigens AMA1, MSP1-19, MSP2 (two allelic types) and MSP3 (two allelic types). Separate analyses were performed on plasma from 213 pairs of Gambian adult twins, 199 child twin pairs sampled in a dry season when there was little malaria transmission, and another set of 107 child twin pairs sampled at the end of the annual wet season when malaria was common. There were significantly positive heritability (h 2) estimates for 48% (20/42) of the specific antibody assays (for the seven isotypes and subclasses to the six antigens tested) among the adults, 48% (20/42) among the children in the dry season and 31% (13/42) among the children in the wet season. In children, there were significant heritability estimates for IgG4 reactivity against each of the antigens, and this subclass had higher heritability than the other subclasses and isotypes. In adults, 75% (15/20) of the significantly heritable antigen-specific isotype responses were attributable to non-HLA class II genetic variation, whereas none showed a significant HLA contribution.

Significance

Genome-wide approaches are now warranted to map the major genetic determinants of variable antibody isotype and subclass responses to malaria, alongside evaluation of their impact on infection and disease. Although plasma levels of IgG4 to malaria antigens are generally low, the exceptionally high heritability of levels of this subclass in children deserves particular investigation.

Introduction

Genetic variation among individuals profoundly affects susceptibility to clinical malaria, although only a minority of the causal polymorphisms are known [1], [2]. It is particularly important to identify genetic determinants of naturally acquired immune responses, as discovering the underlying molecular mechanisms could lead to better vaccine design and use [3]. In Africa, there are some ethnic differences in naturally acquired immune responses and resistance to malaria [4]–[6]. However, most of the variation in the human genome exists within each population, and remains unexamined for effects on immune responses.

An estimate of the heritability of a phenotypic trait can be derived by a Classical Twin Study (CTS) [7]. A CTS determines whether concordance of a trait among people with a relatively shared common environment is attributable mainly to genetic factors, and studies monozygous (MZ) ‘identical’ twins from a single fertilised ovum and dizygous (DZ) ‘non-identical’ twins from separate fertilised ova who are genetically related as normal siblings sharing ∼50% of parental alleles [8]. The genetic contribution to the overall variance in a phenotype can be estimated by comparing the intra-pair similarity of monozygous twins (MZ) and dizygous twins (DZ) [9], thus deriving an estimate of heritability (h 2) [10]. Such findings may be generalised to populations if the trait is normally the same in twins and singletons, and if it has no association with zygosity or gender [7].

An early study of twins in Liberia indicated that antibody levels to the Plasmodium falciparum ring-infected erythrocyte surface antigen (RESA) were influenced by non-HLA genes [11]. This finding was consistent with a lack of association observed between HLA alleles and antibody levels to this antigen in The Gambia or Madagascar [12]. A study of adult twins in The Gambia indicated significant heritability of cell mediated and antibody responses to P. falciparum antigens, with the apparent contribution of HLA to this being variable among assays and antigens tested [13]. By comparison, a family-based study in Papua New Guinea indicated heritable effects on antibody responses to P. falciparum antigens to be generally non-HLA-linked [14].

The basis of clinically relevant differences between individuals in antibody class and IgG subclass response polarisation needs to be investigated. For example, cytophilic IgG1 and IgG3 antibodies enable phagocytosis [15] and antibody dependent cellular inhibition of parasites within erythrocytes [16], and are more commonly associated with protection from malaria [17]–[19], while IgG2 and IgG4 subclasses lack such activity and might in some cases block cytophilic antibodies [20]. Production of antibody classes and subclasses is influenced by different cytokines, including interferon gamma (IFNγ), interleukin 4 (IL-4) and IL-5 from helper T cells, IL-10 from regulatory T cells, and transforming growth factor beta (TGFβ) from macrophages and regulatory T cells [21]–[26]. The current study was designed to investigate the role of genetic variation in determining the acquisition of all naturally acquired plasma antibody isotypes and subclasses (IgG1, IgG2, IgG3, IgG4, IgM, IgA and IgE), to a panel of several P. falciparum blood stage antigens which are considered to be vaccine candidates. The study employed samples from Gambian adult and child twins that were previously assayed for IgG and IgM with a small number of antigens. The aim was to estimate and compare the heritabilities of all the antibody isotype responses, to test whether these heritability estimates varied according to whether children were sampled during the peak or minimal malaria transmission periods, and to evaluate the influence of HLA class II and non-HLA genes.

Materials and Methods

Ethics statement

The study of genetics of immune responses to malaria in the adult and child twins was reviewed and approved by the MRC Gambia Scientific Co-ordinating Committee and the Gambia Government/MRC Joint Ethics Committee (the ethics committee based in The Gambia that reviews all proposals in the country). At the time of approval in 1991, and during subsequent recruitment in 1991–1993, verbal informed consent was the standard practice for observational studies in The Gambia, reflecting the low literacy rate in the general population at that time, a practice guided by over 40 years of medical research experience which was found culturally appropriate and acceptable to observational study subjects. The purpose of the study was explained to potential participants in local languages and all subjects or both of their parents gave verbal informed consent. More recently, literacy rates have increased substantially and written informed consent has become standard practice for research, as incorporated in 2000 into the guidelines for the Gambia Government/MRC Joint Ethics Committee. The proposal for investigation of antibody isotypes in the samples presented here was further reviewed and approved by both the MRC Gambia Scientific Co-ordinating Committee and the Gambia Government/MRC Joint Ethics Committee in 2006.

Plasma samples from adult and child twins

The plasma samples were prepared from heparinised blood samples (between 5 and 10 ml) collected from subjects living in malaria endemic areas of The Gambia between 1991 and 1993, and consist of three groups. The first group comprises 213 pairs of adult twins (58 monozygous and 155 dizygous) with a mean age of 27.0 years (range 14–92 years) sampled between January 1992 and May 1993. The second group comprises 199 pairs of child twins (32 monozygous and 167 dizygous) with a mean age of 5.0 years (range 1–10 years) sampled at the end of an annual dry season in April – May 1991 when there was minimal or no malaria transmission. The third group comprises 107 pairs of child twins (30 monozygous and 77 dizygous) with a mean age of 5.7 years (range 1–10 years) sampled at the end of the wet season (October - November 1991) when malaria incidence was highest. The children in the third group (wet season sample) were a subset of those in the second group (dry season sample). There were no significant differences between the mean ages of MZ and DZ twins for any of the three groups. The study sites and populations are described previously, when more limited analyses of antibody reactivities to malaria antigens were investigated [27], [28]. Plasma samples were stored at −40°C for a period of approximately 15 years with no inadvertent thawing prior to the assays described here.

P. falciparum blood stage antigens

The antigens used for assays were Escherichia coli expressed recombinant proteins. The apical membrane antigen 1 (AMA1) recombinant protein represented the full length ectodomain containing amino acids 83–531 of the AMA1 sequence in the 3D7 clone [29]; for the 19-kDa C-terminal fragment of merozoite surface protein 1 (MSP1-19), a glutathione s-transferase (GST) fusion protein represented amino acids 1631–1726 of the MSP1 sequence in the Wellcome isolate [30]; the two MSP2 allelic antigens used were GST fusion proteins representing MSP2 amino acid positions 1–184 of the ch150/9 isolate and 22–247 of the Dd2 clone [31], [32] (here termed MSP2A and MSP2B, respectively); the two MSP3 allelic antigens represented the MSP3 amino acids 2–354 of the 3D7 clone and 2–379 of the K1 isolate [33] (here termed MSP3A and MSP3B, respectively).

Antibody isotype ELISA assays

Enzyme-linked immunosorbent assays (ELISAs) were used to detect plasma antibody isotypes IgG1, IgG2, IgG3, IgG4, IgM, IgA and IgE to the panel of P. falciparum blood stage antigens AMA1, MSP1-19, MSP2-ch150/9 (MSP2A), MSP2-Dd2 (MSP2B), MSP3-3D7 (MSP3A) and MSP3-K1 (MSP3B), following protocols similar to those previously described [31], [33]–[35]. Briefly, wells of flat bottom 96-well plates (Immulon 4HBX, ThermoLabs) were coated with 50 ng of recombinant antigen in 100 µl of coating buffer (15 mM Na2CO3, 35 mM NaHCO3, pH 9.3), incubated at 4°C overnight and then washed 4 times with washing buffer (PBS with 0.05% Tween 20). Unoccupied binding sites were blocked with 200 µl per well of blocking buffer (1% skimmed milk, MarvelTM, UK, in washing buffer) for 5 hours at room temperature. Plates were washed 4 times prior to the addition of 100 µl plasma diluted with blocking buffer (1/500 for IgG1 and IgG3; 1/50 for IgG2, IgG4, IgM and IgA, 1/10 for IgE), these dilutions were chosen after optimisation of assays for each isotype. After incubation at 4°C overnight the plates were washed 4 times, and 100 µl of horseradish peroxidase-conjugated anti-human IgG subclasses (anti-IgG1-4 murine monoclonals AP006-AP009, The Binding Site, UK), anti-IgM (P0215, Dako, Denmark), anti-IgA (P0216, Dako) at 1/5000, or anti-IgE (P0295, Dako) at 1/2000 was added to each well and incubated at room temperature for 3 hours. Plates were washed 4 times and antibody reactivities detected with 100 µl of substrate (0.4mgml-1 of o-phenylenediamine; 0.08% H2O2) in developing buffer (24.5 mM citric acid monohydrate; 52 mM Na2HPO4, pH 5.0). The reaction was stopped with 50 µl of 2 M H2SO4 and optical density (OD) of plates measured at 490 nm. The OD reading was corrected for non-specific binding by subtracting the OD reactivity to the maltose-binding protein (MBP) fusion tag for MSP3, and glutathione s-transferase (GST) fusion tag for MSP1 and MSP2 recombinant proteins. All assays were performed with each plasma sample tested in duplicate wells, and the mean OD value determined. Each pair of twin plasma was run on the same plate to avoid plate-to-plate variations in measurements.

Data analysis

Antibody data generated by ELISA in the form of OD values were log transformed after adding a value of 1, and transferred from Excel spreadsheets to SPSS version 11 (SPSS Inc., Chicago, IL) and GraphPad Prism version 4.0 (GraphPad Software, San Diego, CA) for analysis. Pairwise correlations using Pearson's correlation coefficient were performed for MZ and DZ twins separately. The Mx Graphical User interface [GUI] version 1.3.65 [Virginia, VA] [36], [37] was used for the estimation of heritabilities. This package gives the heritabilities and confidence intervals as well as the P values for statistical differences between the additive genetic and the common and unique environments, based on maximum likelihood estimation [36]. For this study we used the ACE model (A, the average effects of genes influencing the phenotype; C, environmental effects shared within families and giving resemblance among family members; E, environmental effects on an individual that do not contribute to resemblance among family members) because it gives a conservative estimate of heritability compared to other models.

The zygosities of the adult and child twins had been ascertained using minisatellite typing with 5 minisatellite probes, and HLA typing performed using Southern blot hybridisation with radiolabelled HLA-DRB and HLA-DQB probes, as described in previous studies on the samples [13], [27]. The relative contributions of HLA class II and non-HLA class II genes to the observed genetic variance was assessed by the comparison of HLA DRB-DQB identical MZ and DZ for non-HLA gene contributions and HLA identical versus HLA non-identical DZ for HLA gene contributions. Using data from all of the antigens, Wilcoxon signed ranks tests were applied to examine overall differences in heritabilities between antibody isotypes, within each of the studies of adults or children, and differences in the distribution of heritability estimates from adults and children.

Results

The set of seven antibody isotypes and subclasses against the panel of six P. falciparum blood stage antigens, was measured for all 1038 plasma samples from the adult and child twins. The analyses on heritability are shown separately from each of the three different studies, on the 213 adult twin pairs in Table 1, the 199 child twin pairs in the dry season in Table 2, and the 107 child twin pairs in the wet season in Table 3. As expected, in each of the analyses the observed correlations of the isotype levels were generally higher in the MZ than the DZ twins reflecting a degree of genetic regulation. There were significant heritability estimates for 48% (20/42), 48% (20/42) and 31% (13/42) of the antigen-specific antibody isotypes for adults, children in the dry season and children in the wet season respectively. The slightly lower proportion of significant estimates in the children in the wet season is due to the smaller sample size, as the point estimates of heritability were equally high in this group as in the children studied in the dry season (Figure 1, and a comparison of Tables 2 and 3).

Table 1. Pairwise correlations (r) and heritability estimates (h 2) of antibody isotype responses to P. falciparum blood stage antigens for adult twins.

Antibody Antigens Monozygous r (n = 58) Dizygous r (n = 155) Heritability h 2 95% CI P value
IgG1 AMA1 0.70 0.56 0.31 0.0–0.59 0.04
MSP1-19 0.61 0.35) 0.56 0.14–0.74 0.01
MSP2A 0.39 0.27 0.19 0.0–0.55 0.46
MSP2B 0.19 0.18 0.01 0.0–0.40 0.97
MSP3A 0.77 0.34 0.77 0.53–0.84 0.0001
MSP3B 0.68 0.48 0.42 0.06–0.74 0.02
IgG2 AMA1 0.64 0.36 0.31 0.0–0.66 0.17
MSP1-19 0.07 0.13 0 0.0–0.24 -
MSP2A 0.70 0.39 0.49 0.10–0.73 0.01
MSP2B 0.49 0.43 0.19 0.0–0.59 0.42
MSP3A 0.64 0.27 0.53 0.10–0.68 0.01
MSP3B 0.52 0.30 0.10 0.0–0.53 0.67
IgG3 AMA1 0.53 0.36 0.61 0.15–0.76 0.01
MSP1-19 0.32 0.17 0.38 0.0–0.57 0.09
MSP2A 0.72 0.39 0.53 0.16–0.76 0.006
MSP2B 0.56 0.50 0.10 0.0–0.44 0.67
MSP3A 0.62 0.32 0.52 0.10–0.71 0.01
MSP3B 0.61 0.40 0.42 0.0–0.72 0.05
IgG4 AMA1 0.44 0.12 0.57 0.24–0.78 0.007
MSP1-19 0.05 0.21 0.37 0.0–0.58 0.34
MSP2A 0.58 0.38 0.46 0.03–0.72 0.03
MSP2B 0.52 0.46 0.15 0.0–0.53 0.48
MSP3A 0.32 0.19 0.26 0.0–0.50 0.37
MSP3B 0.49 0.18 0.42 0.0–0.59 0.05
IgM AMA1 0.45 0.34 0.18 0.0–0.58 0.46
MSP1-19 0.60 0.55 0.27 0.0–0.58 0.14
MSP2A 0.61 0.65 0 0.0–0.28 -
MSP2B 0.72 0.36 0.74 0.46–0.82 0.0001
MSP3A 0.58 0.50 0.41 0.02–0.74 0.03
MSP3B 0.25 0.32 0.27 0.0–0.62 0.41
IgA AMA1 0.55 0.19 0.56 0.37–0.71 0.002
MSP1-19 0.34 0.16 0.34 0.0–0.52 0.16
MSP2A 0.65 0.18 0.51 0.20–0.68 0.008
MSP2B 0.54 0.35 0.68 0.31–0.78 0.002
MSP3A 0.15 0.27 0 0.0–0.34 -
MSP3B 0.11 0.37 0 0.0–0.19 -
IgE AMA1 0.43 0.07 0.48 0.04–0.81 0.03
MSP1-19 0.66 0.01 0.92 0.84–0.95 0.001
MSP2A 0.45 0.14 0.33 0.0–0.48 0.19
MSP2B 0.50 0.28 0.69 0.45–0.81 0.001
MSP3A 0.10 0.03 0.04 0.0–0.27 0.82
MSP3B 0.47 0.09 0.71 0.26–0.87 0.006
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r, Pearson's correlation coefficient; n, number of twin pairs; CI, confidence interval of h 2 estimate; P values for significant heritability estimates are in bold. Analysis for IgE was performed with 56 Monozygous and 138 Dizygous twin pairs.

Table 2. Pairwise correlations (r) and heritability estimates (h 2) of antibody isotype responses to P. falciparum blood stage antigens for child twins (dry season).

Antibody Antigens Monozygous r (n = 32) Dizygous r (n = 167) Heritability h 2 95% CI P value
IgG1 AMA1 0.83 0.50 0.76 0.52–0.92 0.0001
MSP1-19 0.34 0.34 0 0.0–0.53 -
MSP2A 0.73 0.46 0.73 0.39–0.88 0.001
MSP2B 0.75 0.59 0.53 0.13–0.87 0.01
MSP3A 0.81 0.40 0.87 0.67–0.92 0.0001
MSP3B 0.51 0.39 0.32 0.0–0.71 0.27
IgG2 AMA1 0.85 0.44 0.86 0.59–0.92 0.0001
MSP1-19 0.78 0.09 0.41 0.10–0.62 0.02
MSP2A 0.71 0.49 0.46 0.0–0.79 0.06
MSP2B 0.86 0.36 0.90 0.71–0.95 0.0001
MSP3A 0.72 0.28 0.63 0.24–0.77 0.007
MSP3B 0.60 0.40 0.23 0.0–0.65 0.35
IgG3 AMA1 0.65 0.40 0.71 0.28–0.84 0.006
MSP1-19 0.06 0.03 0.08 0.0–0.40 0.73
MSP2A 0.71 0.49 0.61 0.24–0.86 0.005
MSP2B 0.70 0.56 0.45 0.0–0.83 0.06
MSP3A 0.42 0.40 0.12 0.0–0.61 0.69
MSP3B 0.30 0.39 0 0.0–0.30 -
IgG4 AMA1 0.84 0.56 0.94 0.86–0.97 -
MSP1-19 0.67 0.08 0.98 0.94–0.99 -
MSP2A 0.82 0.27 0.84 0.66–0.91 0.0001
MSP2B 0.95 0.36 0.97 0.84–0.98 0.0001
MSP3A 0.62 0.17 0.88 0.52–0.94 0.001
MSP3B 0.61 0.21 0.65 0.31–0.83 0.006
IgM AMA1 0.76 0.57 0.37 0.0–0.66 0.05
MSP1-19 0.55 0.16 0.45 0.03–0.64 0.04
MSP2A 0.24 0.31 0.06 0.0–0.60 0.88
MSP2B 0.48 0.27 0.54 0.0–0.74 0.14
MSP3A 0.67 0.34 0.54 0.01–0.75 0.05
MSP3B 0.68 0.44 0.42 0.0–0.76 0.09
IgA AMA1 0.21 0.32 0 0.0–0.18 -
MSP1-19 0.68 0.52 0 0.0–0.10 -
MSP2A 0.65 0.45 0.83 0.53–0.91 0.0001
MSP2B 0.47 0.22 0.64 0.10–0.84 0.03
MSP3A 0.27 0.38 0.56 0.0–0.79 0.11
MSP3B 0.33 0.24 0.39 0.0–0.63 0.33
IgE AMA1 0.47 0.62 0.74 0.50–0.96 0.0001
MSP1-19 0.44 0.01 0.11 0.0–0.46 0.57
MSP2A 0 0.15 0 0.0–0.26 -
MSP2B 0.62 0.31 0.60 0.0–0.77 0.09
MSP3A 0.41 0.50 0.45 0.0–0.83 0.21
MSP3B 0.81 0.10 0.92 0.63–0.96 0.003
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r, Pearson's correlation coefficient; n, number of twin pairs; CI, confidence interval of h 2 estimate; P values for significant heritability estimates are in bold.

Table 3. Pairwise correlations (r) and heritability estimates (h 2) of antibody isotype responses to P. falciparum blood stage antigens for child twins (wet season).

Antibody Antigens Monozygous r (n = 30) Dizygous r (n = 77) Heritability h 2 95% CI P value
IgG1 AMA1 0.71 0.53 0.40 0.0–0.80 0.06
MSP1-19 0.69 0.35 0.52 0.0–0.76 0.06
MSP2A 0.47 0.15 0.45 0.0–0.68 0.07
MSP2B 0.44 0.28 0.30 0.0–0.66 0.44
MSP3A 0.82 0.33 0.85 0.64–0.91 0.0001
MSP3B 0.78 0.41 0.82 0.48–0.89 0.0001
IgG2 AMA1 0.35 0.19 0.64 0.10–0.83 0.03
MSP1-19 0.64 0.11 0.41 0.0–0.62 0.08
MSP2A 0.45 0.53 0 0.0–0.49 -
MSP2B 0.41 0.29 0.08 0.0–0.59 0.83
MSP3A 0.87 0.38 0.84 0.55–0.90 0.0001
MSP3B 0.90 0.49 0.85 0.53–0.94 0.0001
IgG3 AMA1 0.59 0.61 0 0.0–0.32 -
MSP1-19 0.36 0.08 0.32 0.0–0.65 0.22
MSP2A 0.77 0.62 0.35 0.0–0.69 0.05
MSP2B 0.64 0.44 0.49 0.0–0.81 0.10
MSP3A 0.24 0.31 0.34 0.0–0.70 0.40
MSP3B 0.65 0.47 0.51 0.01–0.82 0.04
IgG4 AMA1 0.75 0.40 0.64 0.15–0.83 0.01
MSP1-19 0.81 0 0.96 0.90–0.98 0.0001
MSP2A 0.76 0.43 0.60 0.14–0.83 0.01
MSP2B 0.90 0.45 0.88 0.53–0.94 0.0001
MSP3A 0.70 0.22 0.93 0.84–0.96 0.0001
MSP3B 0.50 0.27 0.52 0.0–0.73 0.07
IgM AMA1 0.67 0.47 0.44 0.0–0.79 0.10
MSP1-19 0.06 0 0 0.0–0.24 -
MSP2A 0 0.32 0 0.0–0.52 -
MSP2B 0.44 0 0.28 0.0–0.56 0.19
MSP3A 0.69 0.36 0.71 0.22–0.83 0.01
MSP3B 0.47 0.37 0.58 0.0–0.78 0.10
IgA AMA1 0.22 0.55 0 0.0–0.41 -
MSP1-19 0.82 0.04 0.36 0.0–0.56 0.09
MSP2A 0.56 0.10 0.57 0.11–0.80 0.02
MSP2B 0.64 0 0.38 0.0–0.63 0.06
MSP3A 0.12 0.16 0.44 0.0–0.74 0.20
MSP3B 0 0.27 0.49 0.0–0.72 0.30
IgE AMA1 0.21 0.01 0.14 0.0–0.39 0.50
MSP1-19 0.28 0.17 0 0.0–0.18 -
MSP2A 0.64 0.34 0.10 0.0–0.62 0.74
MSP2B 0.19 0.20 0.48 0.0–0.77 0.18
MSP3A 0.24 0.59 0 0.0–0.21 -
MSP3B 0.21 0.48 0 0.0–0.45 -
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r, Pearson's correlation coefficient; n, number of twin pairs; CI, confidence interval of h 2 estimate; P values for significant heritability estimates are in bold.

Figure 1. Heritability of antibody isotype levels to P. falciparum blood stage antigens in Gambian adults (213 twin pairs), children in the dry season (C-DS, 199 twin pairs) and children in the wet season (C-WS, 107 twin pairs).

Figure 1

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Each symbol represents the point estimate of heritability (h 2) for each isotype or subclass against each antigen. Significant differences in h 2 estimates between analyses for adults and children are shown (P values of 0.05 or less with Wilcoxon signed ranks tests).

The IgG4 heritability estimates were highest of all isotypes and subclasses, with h 2 values being above 0.5 for responses to all antigens by the child twins in both dry and wet seasons, indicating that IgG4 responses are most strongly genetically regulated (Figure 1). Analysing the data for each season separately, heritability of IgG4 was significantly higher (P<0.05) than all other isotypes except IgE (P = 0.08) in the dry season, and was significantly higher than all except IgG1 (P = 0.17) and IgG2 (P = 0.14) within the wet season sample. In the adults there were no significant differences in heritability between the different antibody isotypes or subclasses (P values>0.05).

The heritability estimates for IgG4 were lower in the adults than in the children, whether the latter were sampled in the wet or dry season (P = 0.028 for each comparison, Wilcoxon signed ranks tests). Significantly lower heritability in adults was also seen for IgG1 (P = 0.046 compared with children in the wet season) and IgG2 (P = 0.046 compared with children in the dry season). Heritability of IgE levels was significantly lower in the children sampled in the wet season than in the adults or the children sampled in the dry season (P = 0.028 and P = 0.046, respectively).

The significance of variation in HLA class II genes and non-HLA-associated genes to the antibody isotype responses was tested in the adult twin data. The correlations within HLA identical and non-identical DZ twin pairs were compared to test for the contribution of HLA class II genes, whilst the correlations within HLA identical MZ and DZ twin pairs were compared to show the contribution of non-HLA genes. Of the 20 antigen-specific isotype responses with significant overall heritabilities in the adults, 15 (75%) were significantly non-HLA restricted, whereas none showed significant HLA class II restriction (Table 4).

Table 4. Contribution of HLA class II and non-HLA genes towards heritability of antibody responses to blood stage antigens in adult twins.

Antibody Antigens r, HLA identical MZ (n = 58) r, HLA identical DZ (n = 38) r, HLA non-identical MZ (n = 117) Contribution by non-HLA class II genes h 2 (95% CI) Contribution by HLA class II genes h 2 (95% CI)
IgG1 AMA1 0.70 0.61 0.55 0.18 (0.0–0.65) 0.17 (0.0–0.55)
MSP1-19 0.61 0.24 0.41 0.63 (0.24–0.76) 0 (0.0–0.27)
MSP3A 0.77 0.33 0.35 0.77 (0.42–0.85) 0 (0.0–0.50)
MSP3B 0.68 0.37 0.53 0.68 (0.17–0.80) 0 (0.0–0.24)
IgG2 MSP2A 0.70 0.48 0.39 0.67 (0.13–0.77) 0 (0.0–0.35)
MSP3B 0.64 0.05 0.31 0.55 (0.0–68) 0 (0.0–0.54)
IgG3 AMA1 0.53 0.41 0.34 0.53 (0.0–0.75) 0.05 (0.0–0.55)
MSP2A 0.72 0.53 0.35 0.27 (0.0–0.76) 0.33 (0.0–0.68)
MSP3A 0.62 0.25 0.33 0.58 (0.0–0.72) 0 (0.0–0.53)
IgG4 AMA1 0.44 0.21 0.11 0.46 (0.0–0.65) 0.28 (0.0–0.55)
MSP2A 0.58 0.60 0.33 0.11 (0.0–0.66) 0.47 (0.0–0.71)
MSP2B 0.72 0.02 0.48 0.73 (0.52–0.83) 0 (0.0–0.16)
MSP3A 0.58 0.36 0.55 0.63 (0.14–0.75) 0 (0.0–0.23)
IgA AMA1 0.55 0.35 0.14 0.60 (0.03–0.74) 0.30 (0.0–0.51)
MSP2A 0.65 0.28 0.14 0.56 (0.01–0.71) 0.28 (0.0–0.49)
MSP2B 0.54 0.23 0.38 0.58 (0.16–0.73) 0 (0.0–0.42)
IgE AMA1 0.43 0.03 0.14 0.88 (0.78–0.93) 0 (0.0–0.21)
MSP1-19 0.66 0.29 0 0.68 (0.43–0.81) 0 (0.0–0.35)
MSP2B 0.50 0.36 0.28 0.49 (0.0–0.69) 0.54 (0.0–0.71)
MSP3B 0.47 0.08 0.09 0.72 (0.44–0.84) 0.01 (0.0–0.35)
Open in a new tab

h 2, heritability estimates; r, Pearson's correlation coefficient; n, number of twin pairs; CI, confidence interval; MZ, monozygous twins; DZ, dizygous twins; those having a significant contribution by non-HLA genes are shown in bold. Analysis of IgE involved 56 MZ pairs.

Discussion

This study shows that there are differences in the heritabilities of different antibody isotype and subclass responses to malaria in children, with IgG4 having higher heritability than the other isotypes. There were no significant differences between heritabilities of different antibody isotype levels in the adults, and heritability of IgG4 levels was significantly lower in adults than in children recruited either in the dry season when malaria incidence is low or the wet season when incidence is at an annual peak.

Reasons for higher heritability of IgG4 responses can be considered in the light of different pathways of antibody isotype production. The IgG4 subclass is in relatively low levels in sera, and its production is influenced by IL-4 and IL-13 in human B cells, as also occurs with IgE [38]. However, there were differences between heritabilities for IgG4 and IgE, indicating that they are not solely due to regulation of these cytokines but to other factors. There is evidence that TGFβ and IL-10 produced by regulatory T cells can induce IgG4 production in B cells [26], so genetic variation in regulation of these cytokines may also contribute. The importance of IgG4 responses to malaria remains unclear, as levels of this subclass against malaria antigens are low in all populations including that studied here, although it has been proposed that these antibodies block the binding of effective cytophilic antibodies [15], [20]. It is important to note that the higher heritability of the IgG4 isotype was seen here in both seasonal samples of children, at periods when malaria incidence was highest (wet season) and lowest (dry season), given that serum antibody responses have a limited persistence in young children compared with older children [39] and adults [40]. The heritability estimate was lower in the adult sample (which was not seasonally focused), suggesting that heritability may be more apparent early in life or when acquired immunity is less developed.

The genetic regulation of all antigen-specific isotype responses is shown to be mainly by non-HLA genes, as expected. An earlier analysis of IgG levels to parts of MSP1 and MSP2 had surprisingly not shown the contribution of non-HLA genes to be statistically significant [13]. The heritability of responses to vaccines (BCG, polio, hepatitis B, diphtheria, pertussis and tetanus) in infants has been reported [41], indicating that antibody responses are influenced mainly by non-HLA genes whilst cellular responses to BCG are regulated more by genes within the HLA class II region. It has been shown that although genetic factors control early antibody responses to vaccines, the persistence and avidity maturation of these responses are regulated by environmental factors such as frequent exposure to the microorganisms that influences the subsequent activation of memory B cells [42].

A genome-wide approach is required for the discovery of the genetic determinants of the different antibody isotype responses, as our knowledge of candidate genes remains very limited [3]. For example, several genes in the chromosome region 5q31–q33 region are likely to regulate antibody responses to blood stage malaria infection [43]–[45], including a single nucleotide polymorphism (SNP) at the transcriptional start site of the IL-4 gene promoter region (-590C/T), considered to influence the transcriptional levels of IL-4 [46]. Studies in Burkina Faso and Ghana indicate that the IL-4 -590T allele is associated with higher levels of IgE among severe malaria patients [47], [48], and a study in Mali shows the same allele to be associated with higher levels of P. falciparum specific IgE reactivity in the Fulani population, although not in another ethnic group [49]. Surveys in Mali, Gabon and Sudan indicate that variation in plasma IgG2 levels to malaria antigens is non-randomly associated with the amino acid 131 polymorphism of its receptor FcγRIIa that affects binding [50]–[52]. These polymorphisms clearly explain only a small part of the variation in each case, and many others are also likely to have small effects [53].

In summary, this study has shown that genetic factors regulate the different antibody isotype and subclass responses to malaria antigens, mainly due to undefined non-HLA-linked genes. Identification of the genes responsible should be possible by conducting large genome-wide association studies of malaria-exposed individuals with different antibody isotype response profiles [3].

Acknowledgments

We thank Patrick Corran, David Lanar, Sheetij Dutta, Onome Akpogheneta, and Spencer Polley for provision of recombinant antigens, as well as Jana McBride and David Cavanagh for providing plasmid clones for expression of the MSP2 antigens. We are also grateful to Fatou Sisay-Joof and staff of MRC Gambia who helped with the plasma sample collection.

Footnotes

Competing Interests: The authors have declared that no competing interests exist.

Funding: This research was funded by MRC UK, Wellcome Trust grant 074695/Z/04/Z, and by the Association for Commonwealth Universities. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.low M, Teo YY, Small KS, Rockett KA, Deloukas P, et al. Genome-wide and fine-resolution association analysis of malaria in West Africa. Nat Genet. 2009;41:657–665. doi: 10.1038/ng.388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Mackinnon MJ, Mwangi TW, Snow RW, Marsh K, Williams TN. Heritability of malaria in Africa. PLoS Med. 2005;2:e340. doi: 10.1371/journal.pmed.0020340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Malaria Genomic Epidemiology Network. A global network for investigating the genomic epidemiology of malaria. Nature. 2008;456:732–737. doi: 10.1038/nature07632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Modiano D, Luoni G, Sirima BS, Lanfrancotti A, Petrarca V, et al. The lower susceptibility to Plasmodium falciparum malaria of Fulani of Burkina Faso (west Africa) is associated with low frequencies of classic malaria-resistance genes. Trans R Soc Trop Med Hyg. 2001;95:149–152. doi: 10.1016/s0035-9203(01)90141-5. [DOI] [PubMed] [Google Scholar]
  • 5.Modiano D, Petrarca V, Sirima BS, Nebie I, Diallo D, et al. Different response to Plasmodium falciparum malaria in west African sympatric ethnic groups. Proc Natl Acad Sci U S A. 1996;93:13206–13211. doi: 10.1073/pnas.93.23.13206. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Torcia MG, Santarlasci V, Cosmi L, Clemente A, Maggi L, et al. Functional deficit of T regulatory cells in Fulani, an ethnic group with low susceptibility to Plasmodium falciparum malaria. Proc Natl Acad Sci U S A. 2008;105:646–651. doi: 10.1073/pnas.0709969105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Kyvik KO. Generalisability and assumptions of twin studies. In: Spector TD, Snieder H, McGregor AJ, editors. Advances in twin and sib-pair analysis. Great Britain: Oxford University Press; 2000. pp. 67–78. [Google Scholar]
  • 8.Martin N, Boomsma D, Machin G. A twin-pronged attack on complex traits. Nature Genetics. 1997;17:387–391. doi: 10.1038/ng1297-387. [DOI] [PubMed] [Google Scholar]
  • 9.Plomin R, DeFries JC, McClearn GE. Behavioural Genetics. A primer. WH Freeman and Company, New York 1990 [Google Scholar]
  • 10.Falconer DS. New York: Wiley; 1989. Introduction to quantitative genetics (3rd ed). [Google Scholar]
  • 11.Sjoberg K, Lepers JP, Raharimalala L, Larsson A, Olerup O, et al. Genetic regulation of human anti-malarial antibodies in twins. Proc Natl Acad Sci U S A. 1992;89:2101–2104. doi: 10.1073/pnas.89.6.2101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Troye-Blomberg M, Olerup O, Larsson A, Sjoberg K, Perlmann H, et al. Failure to detect MHC class II associations of the human immune response induced by repeated malaria infections to the Plasmodium falciparum antigen Pf155/RESA. Int Immunol. 1991;3:1043–1051. doi: 10.1093/intimm/3.10.1043. [DOI] [PubMed] [Google Scholar]
  • 13.Jepson A, Banya W, Sisay-Joof F, Hassan-King M, Nunes C, et al. Quantification of the relative contribution of major histocompatibility complex (MHC) and non-MHC genes to human immune responses to foreign antigens. Infect Immun. 1997;65:872–876. doi: 10.1128/iai.65.3.872-876.1997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Stirnadel HA, Beck HP, Alpers MP, Smith TA. Heritability and segregation analysis of immune responses to specific malaria antigens in Papua New Guinea. Genet Epidemiol. 1999;17:16–34. doi: 10.1002/(SICI)1098-2272(1999)17:1<16::AID-GEPI2>3.0.CO;2-7. [DOI] [PubMed] [Google Scholar]
  • 15.Groux H, Gysin J. Opsonization as an effector mechanism in human protection against asexual blood stages of Plasmodium falciparum: functional role of IgG subclasses. Res Immunol. 1990;141:529–542. doi: 10.1016/0923-2494(90)90021-p. [DOI] [PubMed] [Google Scholar]
  • 16.Tebo AE, Kremsner PG, Luty AJ. Plasmodium falciparum: a major role for IgG3 in antibody-dependent monocyte-mediated cellular inhibition of parasite growth in vitro. Exp Parasitol. 2001;98:20–28. doi: 10.1006/expr.2001.4619. [DOI] [PubMed] [Google Scholar]
  • 17.Roussilhon C, Oeuvray C, Muller-Graf C, Tall A, Rogier C, et al. Long-term clinical protection from falciparum malaria is strongly associated with IgG3 antibodies to merozoite surface protein 3. PLoS Med. 2007;4:e320. doi: 10.1371/journal.pmed.0040320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Stanisic DI, Richards JS, McCallum FJ, Michon P, King CL, et al. Immunoglobulin G subclass-specific responses against Plasmodium falciparum merozoite antigens are associated with control of parasitemia and protection from symptomatic illness. Infect Immun. 2009;77:1165–1174. doi: 10.1128/IAI.01129-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Leoratti FM, Durlacher RR, Lacerda MV, Alecrim MG, Ferreira AW, et al. Pattern of humoral immune response to Plasmodium falciparum blood stages in individuals presenting different clinical expressions of malaria. Malar J. 2008;7:186. doi: 10.1186/1475-2875-7-186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Bouharoun-Tayoun H, Druilhe P. Plasmodium falciparum malaria: evidence for an isotype imbalance which may be responsible for delayed acquisition of protective immunity. Infect Immun. 1992;60:1473–1481. doi: 10.1128/iai.60.4.1473-1481.1992. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Min KM, Kim PH. Macrophage-derived TGF-beta1 induces IgA isotype expression. Mol Cells. 2003;16:245–250. [PubMed] [Google Scholar]
  • 22.Finkelman FD, Holmes J, Katona IM, Urban JF, , Jr., Beckmann MP, et al. Lymphokine control of in vivo immunoglobulin isotype selection. Annu Rev Immunol. 1990;8:303–333. doi: 10.1146/annurev.iy.08.040190.001511. [DOI] [PubMed] [Google Scholar]
  • 23.Gascan H, Gauchat JF, Roncarolo MG, Yssel H, Spits H, et al. Human B cell clones can be induced to proliferate and switch to IgE and IgG4 synthesis by interleukin 4 and a signal provided by activated CD4+ T cell clones. J Exp Med. 1991;173:747–750. doi: 10.1084/jem.173.3.747. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Tangye SG, Ferguson A, Avery DT, Ma CS, Hodgkin PD. Isotype switching by human B cells is division-associated and regulated by cytokines. J Immunol. 2002;169:4298–4306. doi: 10.4049/jimmunol.169.8.4298. [DOI] [PubMed] [Google Scholar]
  • 25.Troye-Blomberg M, Riley EM, Kabilan L, Holmberg M, Perlmann H, et al. Production by activated human T cells of interleukin 4 but not interferon-gamma is associated with elevated levels of serum antibodies to activating malaria antigens. Proc Natl Acad Sci U S A. 1990;87:5484–5488. doi: 10.1073/pnas.87.14.5484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Satoguina JS, Adjobimey T, Arndts K, Hoch J, Oldenburg J, et al. Tr1 and naturally occurring regulatory T cells induce IgG4 in B cells through GITR/GITR-L interaction, IL-10 and TGF-beta. Eur J Immunol. 2008;38:3101–3113. doi: 10.1002/eji.200838193. [DOI] [PubMed] [Google Scholar]
  • 27.Jepson AP, Banya WA, Sisay-Joof F, Hassan-King M, Bennett S, et al. Genetic regulation of fever in Plasmodium falciparum malaria in Gambian twin children. J Infect Dis. 1995;172:316–319. doi: 10.1093/infdis/172.1.316. [DOI] [PubMed] [Google Scholar]
  • 28.Jepson A, Sisay-Joof F, Banya W, Hassan-King M, Frodsham A, et al. Genetic linkage of mild malaria to the major histocompatibility complex in Gambian children: study of affected sibling pairs. Bmj. 1997;315:96–97. doi: 10.1136/bmj.315.7100.96. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Dutta S, Lalitha PV, Ware LA, Barbosa A, Moch JK, et al. Purification, characterization, and immunogenicity of the refolded ectodomain of the Plasmodium falciparum apical membrane antigen 1 expressed in Escherichia coli. Infect Immun. 2002;70:3101–3110. doi: 10.1128/IAI.70.6.3101-3110.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Burghaus PA, Holder AA. Expression of the 19-kilodalton carboxy-terminal fragment of the Plasmodium falciparum merozoite surface protein-1 in Escherichia coli as a correctly folded protein. Mol Biochem Parasitol. 1994;64:165–169. doi: 10.1016/0166-6851(94)90144-9. [DOI] [PubMed] [Google Scholar]
  • 31.Polley SD, Conway DJ, Cavanagh DR, McBride JS, Lowe BS, et al. High levels of serum antibodies to merozoite surface protein 2 of Plasmodium falciparum are associated with reduced risk of clinical malaria in coastal Kenya. Vaccine. 2006;24:4233–4246. doi: 10.1016/j.vaccine.2005.06.030. [DOI] [PubMed] [Google Scholar]
  • 32.Taylor RR, Smith DB, Robinson VJ, McBride JS, Riley EM. Human antibody response to Plasmodium falciparum merozoite surface protein 2 is serogroup specific and predominantly of the immunoglobulin G3 subclass. Infect Immun. 1995;63:4382–4388. doi: 10.1128/iai.63.11.4382-4388.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Polley SD, Tetteh KK, Lloyd JM, Akpogheneta OJ, Greenwood BM, et al. Plasmodium falciparum merozoite surface protein 3 is a target of allele-specific immunity and alleles are maintained by natural selection. J Infect Dis. 2007;195:279–287. doi: 10.1086/509806. [DOI] [PubMed] [Google Scholar]
  • 34.Polley SD, Mwangi T, Kocken CH, Thomas AW, Dutta S, et al. Human antibodies to recombinant protein constructs of Plasmodium falciparum Apical Membrane Antigen 1 (AMA1) and their associations with protection from malaria. Vaccine. 2004;23:718–728. doi: 10.1016/j.vaccine.2004.05.031. [DOI] [PubMed] [Google Scholar]
  • 35.Cavanagh DR, Dobano C, Elhassan IM, Marsh K, Elhassan A, et al. Differential patterns of human immunoglobulin G subclass responses to distinct regions of a single protein, the merozoite surface protein 1 of Plasmodium falciparum. Infect Immun. 2001;69:1207–1211. doi: 10.1128/IAI.69.2.1207-1211.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Neale MC, Miller MB. The use of likelihood-based confidence intervals in genetic models. Behav Genet. 1997;27:113–120. doi: 10.1023/a:1025681223921. [DOI] [PubMed] [Google Scholar]
  • 37.Posthuma D, Boomsma DI. Mx scripts library: structural equation modeling scripts for twin and family data. Behav Genet. 2005;35:499–505. doi: 10.1007/s10519-005-2791-5. [DOI] [PubMed] [Google Scholar]
  • 38.Punnonen J, Aversa G, Cocks BG, McKenzie AN, Menon S, et al. Interleukin 13 induces interleukin 4-independent IgG4 and IgE synthesis and CD23 expression by human B cells. Proc Natl Acad Sci U S A. 1993;90:3730–3734. doi: 10.1073/pnas.90.8.3730. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Akpogheneta OJ, Duah NO, Tetteh KK, Dunyo S, Lanar DE, et al. Duration of naturally acquired antibody responses to blood stage Plasmodium falciparum is age dependent and antigen specific. Infect Immun. 2008;76:1748–1755. doi: 10.1128/IAI.01333-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Taylor RR, Egan A, McGuinness D, Jepson A, Adair R, et al. Selective recognition of malaria antigens by human serum antibodies is not genetically determined but demonstrates some features of clonal imprinting. Int Immunol. 1996;8:905–915. doi: 10.1093/intimm/8.6.905. [DOI] [PubMed] [Google Scholar]
  • 41.Newport MJ, Goetghebuer T, Weiss H, Whittle H, et al. Group TMGTS. Genetic regulation of immune responses to vaccines in early life. Genes and Immun. 2004;5:122–129. doi: 10.1038/sj.gene.6364051. [DOI] [PubMed] [Google Scholar]
  • 42.Marchant A, Pihlgren M, Goetghebuer T, Weiss H, Ota MOC, et al. Predominant influence of enviromental determinants on the persistence and avidity maturation of antibody responses to vaccines in infants. J Infect Dis. 2006;193:1598–1605. doi: 10.1086/503775. [DOI] [PubMed] [Google Scholar]
  • 43.Rihet P, Abel L, Traore Y, Traore-Leroux T, Aucan C, 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. doi: 10.1002/(SICI)1098-2272(1998)15:5<435::AID-GEPI1>3.0.CO;2-#. [DOI] [PubMed] [Google Scholar]
  • 44.Rihet P, Traore Y, Abel L, Aucan C, Traore-Leroux T, et al. Malaria in humans: Plasmodium falciparum blood infection levels are linked to chromosome 5q31–q33. Am J Hum Genet. 1998;63:498–505. doi: 10.1086/301967. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Troye-Blomberg M. Genetic regulation of malaria infection in humans. Chem Immunol. 2002;80:243–252. doi: 10.1159/000058847. [DOI] [PubMed] [Google Scholar]
  • 46.Luoni G, Verra F, Arcà B, Sirima BS, Troye-Blomberg M, et al. Antimalarial antibody levels and IL-4 polymorphism in the Fulani of West Africa. Genes Immun. 2001;2:411–414. doi: 10.1038/sj.gene.6363797. [DOI] [PubMed] [Google Scholar]
  • 47.Verra F, Luoni G, Calissano C, Troye-Blomberg M, Perlmann P, et al. IL4-589C/T polymorphism and IgE levels in severe malaria. Acta Trop. 2004;90:205–209. doi: 10.1016/j.actatropica.2003.11.014. [DOI] [PubMed] [Google Scholar]
  • 48.Gyan BA, Goka B, Cvetkovic JT, Kurtzhals JL, Adabayeri V, et al. Allelic polymorphisms in the repeat and promoter regions of the interleukin-4 gene and malaria severity in Ghanaian children. Clin Exp Immunol. 2004;138:145–150. doi: 10.1111/j.1365-2249.2004.02590.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Vafa M, Maiga B, Israelsson E, Dolo A, Doumbo OK, et al. Impact of the IL-4 -590 C/T transition on the levels of Plasmodium falciparum specific IgE, IgG, IgG subclasses and total IgE in two sympatric ethnic groups living in Mali. Microbes Infect. 2009 doi: 10.1016/j.micinf.2009.04.017. [DOI] [PubMed] [Google Scholar]
  • 50.Israelsson E, Vafa M, Maiga B, Lysen A, Iriemenam NC, et al. Differences in Fcgamma receptor IIa genotypes and IgG subclass pattern of anti-malarial antibodies between sympatric ethnic groups in Mali. Malar J. 2008;7:175. doi: 10.1186/1475-2875-7-175. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Nasr A, Iriemenam NC, Giha HA, Balogun HA, Anders RF, et al. FcgammaRIIa (CD32) polymorphism and anti-malarial IgG subclass pattern among Fulani and sympatric ethnic groups living in eastern Sudan. Malar J. 2009;8:43. doi: 10.1186/1475-2875-8-43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Ntoumi F, Flori L, Mayengue PI, Matondo Maya DW, Issifou S, et al. Influence of carriage of hemoglobin AS and the Fc gamma receptor IIa-R131 allele on levels of immunoglobulin G2 antibodies to Plasmodium falciparum merozoite antigens in Gabonese children. J Infect Dis. 2005;192:1975–1980. doi: 10.1086/497611. [DOI] [PubMed] [Google Scholar]
  • 53.Carpenter D, Abushama H, Bereczky S, Farnert A, Rooth I, et al. Immunogenetic control of antibody responsiveness in a malaria endemic area. Hum Immunol. 2007;68:165–169. doi: 10.1016/j.humimm.2006.12.002. [DOI] [PubMed] [Google Scholar]

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