Genome-Wide Association Study of Cryptosporidiosis in Infants Implicates
Bangladesh
/ epidemiology
Cryptosporidiosis
/ epidemiology
Cryptosporidium
/ pathogenicity
Diarrhea
/ epidemiology
Disease Susceptibility
/ epidemiology
Feces
/ microbiology
Female
Genome, Human
Genome-Wide Association Study
Humans
Infant
Infant, Newborn
Male
Meta-Analysis as Topic
Polymorphism, Single Nucleotide
Prospective Studies
Protein Kinase C-alpha
/ genetics
Risk Factors
Cryptosporidium
genetics
genome analysis
Journal
mBio
ISSN: 2150-7511
Titre abrégé: mBio
Pays: United States
ID NLM: 101519231
Informations de publication
Date de publication:
04 02 2020
04 02 2020
Historique:
entrez:
6
2
2020
pubmed:
6
2
2020
medline:
21
10
2020
Statut:
epublish
Résumé
Diarrhea is a major cause of both morbidity and mortality worldwide, especially among young children. Cryptosporidiosis is a leading cause of diarrhea in children, particularly in South Asia and sub-Saharan Africa, where it is responsible for over 200,000 deaths per year. Beyond the initial clinical presentation of diarrhea, it is associated with long-term sequelae such as malnutrition and neurocognitive developmental deficits. Risk factors include poverty and overcrowding, and yet not all children with these risk factors and exposure are infected, nor do all infected children develop symptomatic disease. One potential risk factor to explain these differences is their human genome. To identify genetic variants associated with symptomatic cryptosporidiosis, we conducted a genome-wide association study (GWAS) examining 6.5 million single nucleotide polymorphisms (SNPs) in 873 children from three independent cohorts in Dhaka, Bangladesh, namely, the Dhaka Birth Cohort (DBC), the Performance of Rotavirus and Oral Polio Vaccines in Developing Countries (PROVIDE) study, and the Cryptosporidiosis Birth Cohort (CBC). Associations were estimated separately for each cohort under an additive model, adjusting for length-for-age Z-score at 12 months of age, the first two principal components to account for population substructure, and genotyping batch. The strongest meta-analytic association was with rs58296998 (
Identifiants
pubmed: 32019797
pii: mBio.03343-19
doi: 10.1128/mBio.03343-19
pmc: PMC7002356
pii:
doi:
Substances chimiques
PRKCA protein, human
EC 2.7.11.13
Protein Kinase C-alpha
EC 2.7.11.13
Types de publication
Journal Article
Observational Study
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIAID NIH HHS
ID : K23 AI108790
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI043596
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI148518
Pays : United States
Organisme : NIAID NIH HHS
ID : R37 AI026649
Pays : United States
Informations de copyright
Copyright © 2020 Wojcik et al.
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