Evidence map›Paper›PMID 30245696›Full record

ReviewFrontiers in immunology2018

Variation in the Untranslated Genome and Susceptibility to Infections.

Veron Ramsuran, Rodger Ewy, Hoang Nguyen, Smita Kulkarni

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.4field-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

9 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Loci Associated With Antibody Response in Feral Swine (Frontiers in veterinary science · 2020
    Article
  9. 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

4 authors at 2 institutions in 2 countries.

Veron RamsuranCentre for the AIDS Programme of Research in South Africa, KwaZulu-Natal Research Innovation and Sequencing Platform, School of Laboratory Medicine and Medical Sciences, Nelson R. Mandela School of Medicine, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.
Rodger EwyGenetics Department, Texas Biomedical Research Institute, San Antonio, TX, United States.
Hoang NguyenGenetics Department, Texas Biomedical Research Institute, San Antonio, TX, United States.
Smita KulkarniGenetics Department, Texas Biomedical Research Institute, San Antonio, TX, United States.
Texas Biomedical Research Institute · USCentre for the AIDS Programme of Research in South Africa · ZA

Funding

Impact of Tat-binding Cellular LncRNAs on HIV replicationR21AI140956 · NIAID · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI KULKARNI, SMITA · 2018 to 2019
$527k
NIAID NIH HHS R21 AI140956
6 · The paper itself

Abstract

The clinical outcomes of infections are highly variable among individuals and are determined by complex host-pathogen interactions. Genome-wide association studies (GWAS) are powerful tools to unravel common genetic variations that are associated with disease risk and clinical outcomes. However, GWAS has only rarely revealed information on the exact genetic elements and their effects underlying an association because the majority of the hits are within non-coding regions. Some of the variants or the linked polymorphisms are now being discovered to have functional significance, such as regulatory elements in the promoter and enhancer regions or the microRNA binding sites in the 3'untranslated region of the protein-coding genes, which influence transcription, RNA stability, and translation of the protein-coding genes. However, only 3% of the entire transcriptome is protein-coding, signifying that non-coding RNAs represent most of the transcripts. Thus, a large portion of previously identified intergenic GWAS single nucleotide polymorphisms (SNPs) is in the non-coding RNAs. The non-coding RNAs form a large-scale regulatory network across the transcriptome, greatly expanding the complexity of gene regulation. Accumulating evidence also suggests that the "non-coding" genome regions actively regulate the highly dynamic three dimensional (3D) chromatin structures, which are critical for genome function. Epigenetic modulation like DNA methylation and histone modifications further affect chromatin accessibility and gene expression adding another layer of complexity to the functional interpretation of genetic variation associated with disease outcomes. We provide an overview of the current information on the influence of variation in these "untranslated" regions of the human genome on infectious diseases. The focus of this review is infectious disease-associated polymorphisms and gene regulatory mechanisms of pathophysiological relevance.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationGenome, HumanUntranslated RegionsAnimalsDNA MethylationEpigenomicsGene Expression RegulationGenetic Association StudiesGenome-Wide Association StudyHumansInfectionsMicroRNAsPolymorphism, Single NucleotidePromoter Regions, GeneticRNA InterferenceMicroRNAsRNA, Long NoncodingUntranslated RegionslncRNAmethylationmicroRNApolymorphismpromoter

Identifiers

PMID30245696
PMCPMC6137953
OpenAlexW2891332896

What OpenQuestion 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 OpenQuestion graph.