Back

Genome-wide association study of susceptibility to pneumococcal carriage amongst children

Kandasamy, R.; Gurung, M.; Shrestha, S.; Bibi, S.; Thorson, S.; Carter, M.; O'Connor, D.; Murdoch, D. R.; Kelly, D. F.; Shrestha, S.; Levin, M.; Pollard, A. J.

2026-07-16 genetic and genomic medicine
10.64898/2026.07.13.26356474 medRxiv
Show abstract

Background Pneumococcal disease is a leading cause of paediatric pneumonia and meningitis. Pneumococcal colonisation is the fundamental step to pneumococcal disease causation. We aimed to identify genetic loci associated with pneumococcal colonisation amongst children. Methods We conducted a genome-wide association study on 2111 Nepalese children, comprising 1346 cases carrying pneumococcus and 765 controls. We tested 8.1 million imputed variants using logistic regression and ten principal components as covariates. Fine mapping and functional evidence were used to identify suspected causal variants and related genes of interest. Findings A cluster of 22 variants of genome-wide significance (p<5x10-8) were identified on chromosome 12q21.31, eight of which were within PPFIA2. Fine mapping of this region identified 5 variants within 0.1 Mb of the 5-prime region of PPFIA2 all of which are significant eQTLs for PPFIA2. We further describe three loci (10q23.31, 12q23.1, and 20p11.21) which had variants with highly suggestive associations (p<5x10-7)with pneumococcal carriage. Interpretation Our study demonstrate human susceptibility to pneumococcal carriage to be polygenic with genetic variations which regulate PPFIA2 expression playing a key role in the ability for pneumococcus to colonise children. Targeting these genetic factors and the associated pathways are a means for preventing pneumococcal disease. Funding This study was supported by funding from Gavi - the vaccine alliance, the European Unions Horizon 2020 research and innovation program under grant agreement number 668303 (PERFORM), and a Robert Austrian Research Award.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 18%
9.8%
2
Genome Medicine
183 papers in training set
Top 0.2%
9.7%
3
Archives of Disease in Childhood
16 papers in training set
Top 0.1%
6.8%
4
Wellcome Open Research
67 papers in training set
Top 0.1%
6.3%
5
Nature Microbiology
155 papers in training set
Top 0.5%
5.6%
6
Microbial Genomics
225 papers in training set
Top 1%
3.2%
7
Scientific Reports
3612 papers in training set
Top 35%
3.2%
8
Journal of Infection
78 papers in training set
Top 0.3%
3.1%
9
eLife
5828 papers in training set
Top 37%
2.8%
50% of probability mass above
10
Journal of Clinical Investigation
179 papers in training set
Top 2%
2.7%
11
Nature Genetics
286 papers in training set
Top 2%
2.7%
12
Pediatrics
11 papers in training set
Top 0.1%
2.1%
13
eBioMedicine
183 papers in training set
Top 2%
2.1%
14
The Journal of Infectious Diseases
202 papers in training set
Top 2%
1.9%
15
PLOS Medicine
110 papers in training set
Top 2%
1.7%
16
mBio
833 papers in training set
Top 8%
1.7%
17
The Lancet Respiratory Medicine
19 papers in training set
Top 0.1%
1.7%
18
PLOS ONE
5266 papers in training set
Top 51%
1.5%
19
European Respiratory Journal
59 papers in training set
Top 0.7%
1.5%
20
Vaccine
203 papers in training set
Top 1%
1.5%
21
Communications Biology
993 papers in training set
Top 17%
1.4%
22
Human Genetics
28 papers in training set
Top 0.4%
1.1%
23
Nature
645 papers in training set
Top 9%
1.0%
24
Journal of Clinical Immunology
14 papers in training set
Top 0.1%
1.0%
25
Frontiers in Immunology
638 papers in training set
Top 9%
0.8%
26
PLOS Pathogens
820 papers in training set
Top 9%
0.8%
27
Cell Genomics
172 papers in training set
Top 4%
0.8%
28
BMC Medicine
176 papers in training set
Top 6%
0.6%
29
Clinical Infectious Diseases
235 papers in training set
Top 3%
0.6%
30
iScience
1154 papers in training set
Top 39%
0.6%