Evidence map›Paper›PMID 24524581›Full record

ArticleBMC infectious diseases2014

A genome-wide association study of variants associated with acquisition of Staphylococcus aureus bacteremia in a healthcare setting.

Charlotte L Nelson, Kimberly Pelak, Mihai V Podgoreanu, Sun Hee Ahn, William K Scott, Andrew S Allen, Lindsay G Cowell, Thomas H Rude, Yurong Zhang, Amy Tong and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

24 citing papers in PubMed, 43 citations in OpenAlex.

  1. Trial
  2. Review
  3. Persistent Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Review
  4. Frontiers in cellular and infection microbiology · 2022
    Review
  5. Review
  6. Article
  7. Genomic analyses ofMicrobial genomics · 2020
    Article
  8. Review
  9. Fulminant Staphylococcal Infections.Microbiology spectrum · 2018
    Review
  10. Article
  11. Microbial sequence typing in the genomic era.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  12. Human Genetic Susceptibility to Native ValveFrontiers in microbiology · 2018
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article
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

13 authors at 6 institutions in 1 country.

Charlotte L NelsonDuke Clinical Research Institute, Duke University Medical Center, 2400 Pratt Street, Room 0311 Terrace Level, Durham, NC 27705, USA. charlotte.nelson@dm.duke.edu.
Kimberly Pelak
Mihai V Podgoreanu
Sun Hee Ahn
William K Scott
Andrew S Allen
Lindsay G Cowell
Thomas H Rude
Yurong Zhang
Amy Tong
Felicia Ruffin
Batu K Sharma-Kuinkel
Vance G Fowler
Duke Medical Center · USDuke University Hospital · USCenter for Human Genetics · USClinical Research Institute · USSouthwestern Medical CenterUniversity of Miami · US

Funding

Host Susceptibility to S. aureusR01AI068804 · NIAID · DUKE UNIVERSITY · PI FOWLER, VANCE G. · 2007 to 2016
$6.9M
Immune System Biological Networks:Case Study Improved Data Integration & AnalysisR01AI077706 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI COWELL, LINDSAY G. · 2008 to 2011
$1.7M
NIAID NIH HHS R01 AI068804NIAID NIH HHS R01-AI-068804NIAID NIH HHS R01 AI077706
6 · The paper itself

Abstract

backgroundHumans vary in their susceptibility to acquiring Staphylococcus aureus infection, and research suggests that there is a genetic basis for this variability. Several recent genome-wide association studies (GWAS) have identified variants that may affect susceptibility to infectious diseases, demonstrating the potential value of GWAS in this arena.

methodsWe conducted a GWAS to identify common variants associated with acquisition of S. aureus bacteremia (SAB) resulting from healthcare contact. We performed a logistic regression analysis to compare patients with healthcare contact who developed SAB (361 cases) to patients with healthcare contact in the same hospital who did not develop SAB (699 controls), testing 542,410 SNPs and adjusting for age (by decade), sex, and 6 significant principal components from our EIGENSTRAT analysis. Additionally, we evaluated the joint effect of the host and pathogen genomes in association with severity of SAB infection via logistic regression, including an interaction of host SNP with bacterial genotype, and adjusting for age (by decade), sex, the 6 significant principal components, and dialysis status. Bonferroni corrections were applied in both analyses to control for multiple comparisons.

resultsOurs is the first study that has attempted to evaluate the entire human genome for variants potentially involved in the acquisition or severity of SAB. Although this study identified no common variant of large effect size to have genome-wide significance for association with either the risk of acquiring SAB or severity of SAB, the variant (rs2043436) most significantly associated with severity of infection is located in a biologically plausible candidate gene (CDON, a member of the immunoglobulin family) and may warrant further study.

conclusionsThe genetic architecture underlying SAB is likely to be complex. Future investigations using larger samples, narrowed phenotypes, and advances in both genotyping and analytical methodologies will be important tools for identifying causative variants for this common and serious cause of healthcare-associated infection.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedBacteremiaCase-Control StudiesCross InfectionFemaleGenome, HumanGenotypeHumansLogistic ModelsMaleMiddle AgedPhenotypePrincipal Component Analysis

Identifiers

PMID24524581
PMCPMC3928605
OpenAlexW1991218233

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.