| Literature DB >> 28793894 |
Catherine Nassozi Lwanira1, Fred Kironde2, Mark Kaddumukasa3, Göte Swedberg4.
Abstract
BACKGROUND: Host genetics play an important role in Plasmodium falciparum malaria susceptibility. However, information on host genetic factors and their relationships with malaria in the vaccine trial site of Iganga, Uganda is limited. The main objective of this study was to determine the prevalence of selected host genetic markers and their relationship to malaria incidence in the vaccine trial site of Iganga, Uganda. In a 1-year longitudinal cohort study, 423 children aged below 9 years were recruited and their malaria episodes were investigated. Host genetic polymorphisms were assessed by PCR-RFLP, haemoglobin electrophoresis and DNA sequencing. Using a multivariate negative binomial regression model, estimates of the impact of human genetic polymorphisms on malaria incidence were performed. In all statistical tests, a P value of <0.05 was considered as significant.Entities:
Keywords: Human gene polymorphisms; Incidence; Plasmodium falciparum malaria
Mesh:
Substances:
Year: 2017 PMID: 28793894 PMCID: PMC5551019 DOI: 10.1186/s12936-017-1970-1
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Specific oligonucleotide primers used for PCR amplification
| SNP (gene) | PCR round | PCR primers | Product size (bp) | Digesting enzyme | Fragment size (bp) | |
|---|---|---|---|---|---|---|
| Digested (normal) | Digested (mutant) | |||||
| rs 334 ( | First | 5′-AGAAAACATCAAGGGTCCCA-3′ (forward) | 926 | |||
| 5′-TCCATCTACATATCCCAAAGC-3′ (reverse) | ||||||
| Nested | 5′-TCCAAGGGTAGACCACCAGC-3′ (forward) | 445 |
| 225, 220 | 445 | |
| 5′-GTGCCAGAAGAGCCAAGGAC-3′ (reverse) | ||||||
| rs 1050828 ( | Single | 5′-GTGGCTGTTCCGGGATGGCCTTCTG-3′ (forward) | 109 |
| 109 | 63, 46 |
| 5′-CTTGAAGAAGGGCTCACTCTGTTTG-3′ (reverse) | ||||||
| rs 1800482 ( | Single | 5′-CATATGTATGGGAATACTGTATTTCAGGC-3′ | 573 |
| 446, 127 | 573 |
| 5′-TCTGAACTAGTCACTTGAGG-3′ | ||||||
Genotype and allele frequencies of the studied host gene polymorphisms
| G6PD c.202 G>A | HBB c.20 A>T | NOS2 −954 G>C | |||
|---|---|---|---|---|---|
| Frequency | Frequency | Frequency | |||
| Females | |||||
| Wild type | 158 (37.4) | Wild type, AA | 303 (73.2) | Wild type | 340 (82.7) |
| Heterozygous | 69 (16.3) | Heterozygous, AS | 110 (26.6) | Heterozygous | 66 (16.1) |
| Homozygous | 4 (1.0) | Homozygous, SS | 1 (0.2) | Homozygous | 5 (1.2) |
| Males | |||||
| Wild type | 169 (39.9) | ||||
| Hemizygous | 23 (5.4) | ||||
| Allele frequency | |||||
| G | 0.88 | A | 0.86 | G | 0.91 |
| A | 0.12 | T | 0.14 | C | 0.09 |
Effect of host genetic polymorphism on incidence of malaria
| Host polymorphism | Malaria | Number of new episodes | Adjusted incidence rate ratio | P value | 95% CI | |
|---|---|---|---|---|---|---|
| No | Yes | |||||
| G6PD c.202 G>A | ||||||
| Wild type | 166 | 161 | 318 | Reference | – | – |
| Heterozygous | 37 | 32 | 59 | 0.98 | 0.918 | 0.672–1.429 |
| Homozygous | 3 | 1 | 3 | 1.38 | 0.673 | 0.313–6.033 |
| Hemizygous | 11 | 12 | 34 | 1.60 | 0.081 | 0.944–2.698 |
| Homo/hemizygous | 14 | 13 | 37 | 1.57 | 0.076 | 0.954–2.590 |
| HBB c.20 A>T | ||||||
| Wild type | 158 | 145 | 289 | Reference | – | – |
| Heterozygous | 57 | 53 | 110 | 1.04 | 0.818 | 0.755–1.427 |
| NOS2 −954 G>C | ||||||
| Wild type | 169 | 171 | 358 | Reference | – | – |
| Heterozygous | 40 | 26 | 41 | 0.59 | 0.012 | 0.386–0.887 |
| Homozygous | 2 | 3 | 5 | 1.29 | 0.683 | 0.383–4.333 |
Only one child was homozygous for HBB c.20A>T variant and was not included in this analysis
Fig. 1Effect of age on the relationship between sickle cell trait and malaria incidence. Using data from a longitudinal follow up of cohort children, the means (±standard deviation) of annual malaria episodes per child (incidence rates) for sickle cell HBB heterozygotes (Hb AS, cycle symbols) and wild types (Hb AA, rectangle symbols) over four age categories are presented. Children with wild type Hb (AA) experienced lower incidences in early infancy (till age of 1 year) than sickle cell HBB heterozygotes. Through ages >1–9 years, malaria incidences were largely similar
Fig. 2Effect of age on the relationship between G6PD deficiency and malaria incidence. A plot of incidence rates versus age for the different G6PD genotypes is shown. Incidence rates were highest among the G6PD c.202 G>A homozygotes (closed circles) and lowest among those without mutations (wildtypes shown by open circles). Heterozygous (G6PD c.202 G>A, open squares) children experienced malaria incidences less than the homozygous individuals. The adjusted incident rates ratios (aIRR) in reference to G6PD c.202 G>A wild-types for age 6 months to 1 year were; G6PD c.202 G>A homo/hemizygotes (aIRR = 1.54; 95% CI [0.689–3.434]; P = 0.29), G6PD c.202 G>A heterozygotes (aIRR = 1.48; 95% CI [0.838–2.604]; P = 0.18). Peak incidence rates among the homozygotes are seen among the 1–3 year olds {(aIRR = 2.32; 95% CI [1.509–3.559]; P = 0.000), G6PD c.202 G>A heterozygotes (aIRR = 1.01; 95% CI [0.629–1.608]; P = 0.98)}. Older homozygotes (5–9 years) showed the lowest incidence {(aIRR = 0.16; 95% CI [0.021–1.133]; P = 0.07), G6PD c.202 G>A heterozygotes (aIRR = 0.94; 95% CI [0.462–1.921]; P = 0.87). There were no homozygotes in the >3–5 age group