ArticleBMC genomics2022
Genome-wide association analyses of common infections in a large practice-based biobank.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed.
- Article
- Temporal shifts in polygenic traits track major epidemics in Western Eurasia.bioRxiv : the preprint server for biology · 2026Article
- Rare and low-frequency variants in families with otitis media.Journal of molecular medicine (Berlin, Germany) · 2025Article
- Sequence-based GWAS in 180,000 German Holstein cattle reveals new candidate variants for milk production traits.Genetics, selection, evolution : GSE · 2025Article
- Host Genetic Variations and Their Implications on HBV and HCV Infection in the Iranian Population: A Comprehensive Systematic Review.Iranian journal of public health · 2024Review
- Genome-wide association study indicates novel associations of annexin A13 to secretory and GAS2L2 with mucous otitis media.Scientific reports · 2024Article
- Systemic therapy for psoriasis and the risk of cutaneous infections.The Journal of dermatology · 2024Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
introductionInfectious diseases are common causes of morbidity and mortality worldwide. Susceptibility to infection is highly heritable; however, little has been done to identify the genetic determinants underlying common infectious diseases. One GWAS was performed using 23andMe information about self-reported infections; we set out to confirm previous loci and identify new ones using medically diagnosed infections.
methodsWe used the electronic health record (EHR)-based biobank at Vanderbilt and diagnosis codes to identify cases of 12 infectious diseases in white patients: urinary tract infection, pneumonia, chronic sinus infections, otitis media, candidiasis, streptococcal pharyngitis, herpes zoster, herpes labialis, hepatitis B, infectious mononucleosis, tuberculosis (TB) or a positive TB test, and hepatitis C. We selected controls from patients with no diagnosis code for the candidate disease and matched by year of birth, sex, and calendar year at first and last EHR visits. We conducted GWAS using SAIGE and transcriptome-wide analysis (TWAS) using S-PrediXcan. We also conducted phenome-wide association study to understand associations between identified genetic variants and clinical phenotypes.
resultsWe replicated three 23andMe loci (p ≤ 0.05): herpes zoster and rs7047299-A (p = 2.6 × 10
conclusionWe conducted GWAS and TWAS for 12 infectious diseases and identified novel genetic contributors to the susceptibility of infectious diseases.
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Registered trials
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