Evidence map›Paper›PMID 24373313›Full record

ReviewAdvances in virus research2014

Quantitative genetics in the study of virus-induced disease.

Martin T Ferris, Mark T Heise

Abstract readReview
In one paragraph

Review in Advances in virus research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Systems approaches to Coronavirus pathogenesis.Current opinion in virology · 2014
    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

2 authors.

Martin T FerrisDepartment of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA.
Mark T HeiseDepartment of Genetics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA; Lineberger Comprehensive Cancer Center, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA. Electronic address: heisem@med.unc.edu.

Funding

Unlocking Zika Virus Immune Control and Pathogenesis with the Collaborative CrossU19AI100625 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BARIC, RALPH S · 2012 to 2021
$36.6M
NIAID NIH HHS U19 AI100625
6 · The paper itself

Abstract

While the role of viral variants has long been known to play a key role in causing variation in disease severity, it is also clear that host genetic variation plays a critical role in determining virus-induced disease responses. However, a variety of factors, including confounding environmental variables, rare genetic variants requiring extremely large cohorts, the temporal dynamics of infections, and ethical limitation on human studies, have made the identification and dissection of variant host genes and pathways difficult within human populations. This difficulty has led to the development of a variety of experimental approaches used to identify host genetic contributions to disease responses. In this chapter, we describe the history of genetic associations within the human population, the development of experimentally tractable systems, and the insights these specific approaches provide. We conclude with a discussion of recent advances that allow for the investigation of the role of complex genetic networks that underlie host responses to infection, with the goal of drawing connections to human infections. In particular, we highlight the need for robust animal models with which to directly control and assess the role of host genetics on viral infection outcomes.

Indexed as

Genetic Predisposition to DiseaseHost-Pathogen InteractionsAnimalsChromosome MappingGene Regulatory NetworksGenetic VariationHumansPlantsSystems BiologyVirus DiseasesVirusesAssociationComplex traitGenetic mappingGenetic reference populationGWASLinkageQTLViral disease

Identifiers

PMID24373313
PMCPMC7271172

What Socratic holds

Textmetadata
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.