Evidence map›Paper›PMID 30033078›Full record

ArticleThe Lancet. Haematology2018

Human candidate gene polymorphisms and risk of severe malaria in children in Kilifi, Kenya: a case-control association study.

Carolyne M Ndila, Sophie Uyoga, Alexander W Macharia, Gideon Nyutu, Norbert Peshu, John Ojal, Mohammed Shebe, Kennedy O Awuondo, Neema Mturi, Benjamin Tsofa and 15 more

Open access · hybridAbstract read
In one paragraph

Article in The Lancet. Haematology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
72citing papers in PubMed, 2 pooled it
10.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

72 citing papers in PubMed, 2 syntheses or guidelines pooled it, 120 citations in OpenAlex.

  1. Pooled it
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  10. Human genetic variations conferring resistance to malaria.Journal of translational medicine · 2025
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  19. Cells · 2024
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12 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 6 institutions in 3 countries.

Carolyne M NdilaKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya; Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Sophie UyogaKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Alexander W MachariaKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Gideon NyutuKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Norbert PeshuKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
John OjalKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Mohammed ShebeKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Kennedy O AwuondoKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Neema MturiKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Benjamin TsofaKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Nuno SepúlvedaLondon School of Hygiene & Tropical Medicine, London, UK; Centro de Estatística e Aplicações da Universidade de Lisboa, Lisbon, Portugal.
Taane G ClarkLondon School of Hygiene & Tropical Medicine, London, UK.
Gavin BandWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Geraldine ClarkeWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Kate RowlandsWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Christina HubbartWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Anna JeffreysWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Silvia KariukiKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya; Wellcome Sanger Institute, Cambridge, UK.
Kevin MarshKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya.
Margaret Mackinnonunaffiliated researcher [ResearcherID: L-3155-2013].
Kathryn MaitlandKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya; Department of Medicine, Imperial College, St Mary's Hospital, London, UK.
Dominic P KwiatkowskiWellcome Centre for Human Genetics, University of Oxford, Oxford, UK; Big Data Institute, University of Oxford, Oxford, UK; Wellcome Sanger Institute, Cambridge, UK.
Kirk A RockettWellcome Centre for Human Genetics, University of Oxford, Oxford, UK.
Thomas N WilliamsKEMRI/Wellcome Trust Research Programme, Kilifi, Kenya; Department of Medicine, Imperial College, St Mary's Hospital, London, UK. Electronic address: tom.williams@imperial.ac.uk.
MalariaGEN Consortium
Kenya Medical Research Institute · KEUniversity of Oxford · GBCentre for Human Genetics · GBLondon School of Hygiene & Tropical Medicine · GBSt Mary's Hospital · GBWellcome Sanger Institute · GB

Funding

Medical Research Council G0600718Medical Research Council G19/9Medical Research Council MC_PC_15103Medical Research Council MR/K000551/1Medical Research Council MR/M006212/1Medical Research Council MR/M01360X/1Medical Research Council MR/N010469/1Wellcome Trust 204911/Z/16/Z
6 · The paper itself

Abstract

backgroundHuman genetic factors are important determinants of malaria risk. We investigated associations between multiple candidate polymorphisms-many related to the structure or function of red blood cells-and risk for severe Plasmodium falciparum malaria and its specific phenotypes, including cerebral malaria, severe malaria anaemia, and respiratory distress.

methodsWe did a case-control study in Kilifi County, Kenya. We recruited as cases children presenting with severe malaria to the high-dependency ward of Kilifi County Hospital. We included as controls infants born in the local community between Aug 1, 2006, and Sept 30, 2010, who were part of a genetics study. We tested for associations between a range of candidate malaria-protective genes and risk for severe malaria and its specific phenotypes. We used a permutation approach to account for multiple comparisons between polymorphisms and severe malaria. We judged p values less than 0·005 significant for the primary analysis of the association between candidate genes and severe malaria.

findingsBetween June 11, 1995, and June 12, 2008, 2244 children with severe malaria were recruited to the study, and 3949 infants were included as controls. Overall, 263 (12%) of 2244 children with severe malaria died in hospital, including 196 (16%) of 1233 with cerebral malaria. We investigated 121 polymorphisms in 70 candidate severe malaria-associated genes. We found significant associations between risk for severe malaria overall and polymorphisms in 15 genes or locations, of which most were related to red blood cells: ABO, ATP2B4, ARL14, CD40LG, FREM3, INPP4B, G6PD, HBA (both HBA1 and HBA2), HBB, IL10, LPHN2 (also known as ADGRL2), LOC727982, RPS6KL1, CAND1, and GNAS. Combined, these genetic associations accounted for 5·2% of the variance in risk for developing severe malaria among individuals in the general population. We confirmed established associations between severe malaria and sickle-cell trait (odds ratio [OR] 0·15, 95% CI 0·11-0·20; p=2·61 × 10

interpretationBoth ATP2B4 and the Dantu blood group antigen are associated with the structure and function of red blood cells. ATP2B4 codes for plasma membrane calcium-transporting ATPase 4 (the major calcium pump on red blood cells) and the glycophorins are ligands for parasites to invade red blood cells. Future work should aim at uncovering the mechanisms by which these polymorphisms can result in severe malaria protection and investigate the implications of these associations for wider health.

fundingWellcome Trust, UK Medical Research Council, European Union, and Foundation for the National Institutes of Health as part of the Bill & Melinda Gates Grand Challenges in Global Health Initiative.

Indexed as

Polymorphism, GeneticCase-Control StudiesChildChild, PreschoolFemaleGene FrequencyGenetic Predisposition to DiseaseHumansKenyaMalariaMale

Identifiers

PMID30033078
PMCPMC6069675
OpenAlexW2884636474

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.