Evidence map›Paper›PMID 20681887›Full record

ArticleThe Journal of infectious diseases2010

Genetic and household determinants of predisposition to human hookworm infection in a Brazilian community.

Rupert J Quinnell, Rachel L Pullan, Lutz Ph Breitling, Stefan M Geiger, Bonnie Cundill, Rodrigo Correa-Oliveira, Simon Brooker, Jeffrey M Bethony

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Rupert J QuinnellInstitute of Integrative and Comparative Biology, University of Leeds, Leeds, United Kingdom. R.J.Quinnell@leeds.ac.uk
Rachel L Pullan
Lutz Ph Breitling
Stefan M Geiger
Bonnie Cundill
Rodrigo Correa-Oliveira
Simon Brooker
Jeffrey M Bethony

Funding

Medical Research CouncilWellcome Trust 081673
6 · The paper itself

Abstract

backgroundPredisposition to heavy or light human hookworm infection is consistently reported in treatment-reinfection studies. A significant role for host genetics in determining hookworm infection intensity has also been shown, but the relationship between host genetics and predisposition has not been investigated.

methodsA treatment-reinfection study was conducted among 1302 individuals in Brazil. Bivariate variance components analysis was used to estimate heritability for pretreatment and reinfection intensity and to estimate the contribution of genetic and household correlations between phenotypes to the overall phenotypic correlation (ie, predisposition).

resultsHeritability for hookworm egg count was 17% before treatment and 25% after reinfection. Predisposition to heavy or light hookworm infection was observed, with a phenotypic correlation of 0.34 between pretreatment and reinfection intensity. This correlation was reduced to 0.23 after including household and environmental covariates. Genetic and household correlations were 0.41 and 1, respectively, and explained 88% of the adjusted phenotypic correlation.

conclusionsPredisposition to human hookworm infection in this area results from a combination of host genetics and consistent differences in exposure, with the latter explained by household and environmental factors. Unmeasured individual-specific differences in exposure did not contribute to predisposition.

Indexed as

Family HealthGenetic Predisposition to DiseaseAdolescentAdultAgedAnimalsBrazilChildChild, PreschoolHookworm InfectionsHumansInfantInfant, NewbornMaleMiddle AgedParasite Egg Count

Identifiers

PMID20681887
PMCPMC2938471

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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.