Evidence map›Paper›PMID 10400717›Full record

ArticleJournal of virology1999

Numerous length polymorphisms at short tandem repeats in human cytomegalovirus.

C L Davis, D Field, D Metzgar, R Saiz, P A Morin, I L Smith, S A Spector, C Wills

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

19 citing papers in PubMed, 52 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

C L DavisDepartment of Biology, University of California, San Diego, La Jolla, California 92093-0116, USA. cldavis@ucsd.edu
D Field
D Metzgar
R Saiz
P A Morin
I L Smith
S A Spector
C Wills
Johns Hopkins University Center for AIDS ResearchPediatrics and Genetics · USUniversity of California, San Diego · US

Funding

USING MICROSATELLITES TO ANALYZE CYTOMEGALOVIRUS STRAINSR03AI041370 · NIAID · UNIVERSITY OF CALIFORNIA SAN DIEGO · PI WILLS, CHRISTOPHER J · 1997 to 1998
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NIAID NIH HHS 1RO3 AI41370
6 · The paper itself

Abstract

We show the presence of numerous short tandem repeats in the human cytomegalovirus (HCMV) genome and assess their usefulness as molecular markers. The genome is shown to contain at least 24 microsatellite regions that exhibit length polymorphisms. Insertion-deletion polymorphisms at these short tandem repeats are common (80% of repeats examined are polymorphic among two laboratory strains and 10 clinical isolates). This is the first report of widespread microsatellite length polymorphism in a viral genome. Some regions are highly polymorphic: one was revealed by DNA sequencing to contain length variants at five closely linked sites, which combined resulted in 10 variants for this region among the 12 strains and isolates examined. This study not only provides a new molecular marker system for this virus but also extends our understanding of microsatellite polymorphism in two important ways. First, variable-length repeats in HCMV can be considerably shorter than polymorphic repeats previously found in other organisms. Second, highly variable microsatellite repeats are not confined to prokaryotes and eukaryotes, as previously assumed. This variation provides a useful marker system for distinguishing viral isolates, and similar markers are also likely to be found in other large-genome DNA viruses.

Indexed as

Genome, ViralPolymorphism, GeneticTandem Repeat SequencesCytomegalovirusHumans

Identifiers

PMID10400717
PMCPMC112704
OpenAlexW2159424688

What OpenQuestion 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 OpenQuestion graph.