Evidence map›Paper›PMID 29929468›Full record

SynthesisBMC infectious diseases2018

Identification of genetic variants associated with dengue or West Nile virus disease: a systematic review and meta-analysis.

Megan E Cahill, Samantha Conley, Andrew T DeWan, Ruth R Montgomery

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Targeted Gene Delivery: Where to Land.Frontiers in genome editing · 2020
    Review
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

4 authors at 1 institution in 1 country.

Megan E CahillYale University School of Public Health, New Haven, CT, USA.
Samantha ConleyYale University School of Nursing, West Haven, CT, USA.
Andrew T DeWanYale University School of Public Health, New Haven, CT, USA.
Ruth R MontgomeryYale University School of Medicine, New Haven, CT, USA. ruth.montgomery@yale.edu.
Yale University · US

Funding

Systems investigation of vaccine responses in B cell depleted autoimmune patientsU19AI089992 · NIAID · YALE UNIVERSITY · PI David A. Hafler, RUTH R MONTGOMERY · 2010 to 2026
$50.4M
Research Training: Self and Family ManagementT32NR008346 · NINR · YALE UNIVERSITY · PI GREY, MARGARET · 2003 to 2018
$4.7M
NIAID NIH HHS U19 AI089992NIH HHS AI089992NIH HHS T32NR008346NINR NIH HHS T32 NR008346
6 · The paper itself

Abstract

backgroundDengue and West Nile viruses are highly cross-reactive and have numerous parallels in geography, potential vector host (Aedes family of mosquitoes), and initial symptoms of infection. While the vast majority (> 80%) of both dengue and West Nile virus infections result in asymptomatic infections, a minority of individuals experience symptomatic infection and an even smaller proportion develop severe disease. The mechanisms by which these infections lead to severe disease in a subset of infected individuals is incompletely understood, but individual host differences including genetic factors and immune responses have been proposed. We sought to identify genetic risk factors that are associated with more severe disease outcomes for both viruses in order to shed light on possible shared mechanisms of resistance and potential therapeutic interventions.

methodsWe applied a search strategy using four major databases (Medline, PubMed, Embase, and Global Health) to find all known genetic associations identified to date with dengue or West Nile virus disease. Here we present a review of our findings and a meta-analysis of genetic variants identified.

resultsWe found genetic variations that are significantly associated with infections of these viruses. In particular we found variation within the OAS1 (meta-OR = 0.83, 95% CI: 0.69-1.00) and CCR5 (meta-OR = 1.29, 95% CI: 1.08-1.53) genes is significantly associated with West Nile virus disease, while variation within MICB (meta-OR = 2.35, 95% CI: 1.68-3.29), PLCE1 (meta-OR = 0.55, 95% CI: 0.42-0.71), MBL2 (meta-OR = 1.54, 95% CI: 1.02-2.31), and IFN-γ (meta-OR = 2.48, 95% CI: 1.30-4.71), is associated with dengue disease.

conclusionsDespite substantial heterogeneity in populations studied, genes examined, and methodology, significant associations with genetic variants were found across studies within both diseases. These gene associations suggest a key role for immune mechanisms in susceptibility to severe disease. Further research is needed to elucidate the role of these genes in disease pathogenesis and may reveal additional genetic factors associated with disease severity.

Indexed as

2',5'-Oligoadenylate SynthetaseDengueGenetic Predisposition to DiseaseHistocompatibility Antigens Class IHumansInterferon-gammaMannose-Binding LectinPhosphoinositide Phospholipase CReceptors, CCR5West Nile Fever2',5'-Oligoadenylate SynthetaseCCR5 protein, humanHistocompatibility Antigens Class IInterferon-gammaMannose-Binding LectinMBL2 protein, humanMICB antigenOAS1 protein, humanPhosphoinositide Phospholipase Cphospholipase C epsilonReceptors, CCR5Dengue virusDisease severityGenetic variationMeta-analysisSingle nucleotide polymorphismWest Nile virus

Identifiers

PMID29929468
PMCPMC6014009
OpenAlexW2809207836

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.