Evidence map›Paper›PMID 19523202›Full record

ArticleBMC medical genetics2009

Homozygosity and risk of childhood death due to invasive bacterial disease.

Emily J Lyons, William Amos, James A Berkley, Isaiah Mwangi, Mohammed Shafi, Thomas N Williams, Charles R Newton, Norbert Peshu, Kevin Marsh, J Anthony G Scott and 1 more

Abstract read
In one paragraph

Article in BMC medical genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
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  11. Equine clinical genomics: A clinician's primer.Equine veterinary journal · 2010
    Review
  12. Article
  13. Has human evolution stopped?Rambam Maimonides medical journal · 2010
    Article
  14. Article
  15. Review
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

11 authors.

Emily J LyonsThe Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford OX3 7BN, UK. e.lyons@imperial.ac.uk
William Amos
James A Berkley
Isaiah Mwangi
Mohammed Shafi
Thomas N Williams
Charles R Newton
Norbert Peshu
Kevin Marsh
J Anthony G Scott
Adrian V S Hill

Funding

Wellcome Trust 061089Wellcome Trust 076934Wellcome Trust 081835
6 · The paper itself

Abstract

backgroundGenetic heterozygosity is increasingly being shown to be a key predictor of fitness in natural populations, both through inbreeding depression, inbred individuals having low heterozygosity, and also through chance linkage between a marker and a gene under balancing selection. One important component of fitness that is often highlighted is resistance to parasites and other pathogens. However, the significance of equivalent loci in human populations remains unclear. Consequently, we performed a case-control study of fatal invasive bacterial disease in Kenyan children using a genome-wide screen with microsatellite markers.

methods148 cases, comprising children aged <13 years who died of invasive bacterial disease, (variously, bacteraemia, bacterial meningitis or neonatal sepsis) and 137 age-matched, healthy children were sampled in a prospective study conducted at Kilifi District Hospital, Kenya. Samples were genotyped for 134 microsatellite markers using the ABI LD20 marker set and analysed for an association between homozygosity and mortality.

resultsAt five markers homozygosity was strongly associated with mortality (odds ratio range 4.7 - 12.2) with evidence of interactions between some markers. Mortality was associated with different non-overlapping marker groups in Gram positive and Gram negative bacterial disease. Homozygosity at susceptibility markers was common (prevalence 19-49%) and, with the large effect sizes, this suggests that bacterial disease mortality may be strongly genetically determined.

conclusionBalanced polymorphisms appear to be more widespread in humans than previously appreciated and play a critical role in modulating susceptibility to infectious disease. The effect sizes we report, coupled with the stochasticity of exposure to pathogens suggests that infection and mortality are far from random due to a strong genetic basis.

Indexed as

HomozygoteAnalysis of VarianceBacteremiaCase-Control StudiesChildChild, PreschoolConfidence IntervalsGenetic Predisposition to DiseaseGram-Negative Bacterial InfectionsGram-Positive Bacterial InfectionsHumansInfantInfant, NewbornInfant, Newborn, DiseasesKenyaMeningitis, Bacterial

Identifiers

PMID19523202
PMCPMC2714084

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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.