Evidence map›Paper›PMID 30921327›Full record

ArticlePLoS computational biology2019

A computational framework to assess genome-wide distribution of polymorphic human endogenous retrovirus-K In human populations.

Weiling Li, Lin Lin, Raunaq Malhotra, Lei Yang, Raj Acharya, Mary Poss

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
8.1field-weighted citation impact, top 3% 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, 40 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  7. Article
  8. Review
  9. TDP-43 Epigenetic Facets and Their Neurodegenerative Implications.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Retroviral Elements in Pathophysiology and as Therapeutic Targets for Amyotrophic Lateral Sclerosis.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022
    Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Human endogenous retroviruses in development and disease.Computational and structural biotechnology journal · 2021
    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

6 authors at 1 institution in 1 country.

Weiling LiThe School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.
Lin LinDepartment of Statistics, The Pennsylvania State University, University Park, PA, United States of America.ORCID 0000-0002-7464-1172
Raunaq MalhotraThe School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.ORCID 0000-0002-7253-850X
Lei YangDepartment of Biology, The Pennsylvania State University, University Park, PA, United States of America.
Raj AcharyaThe School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, United States of America.
Mary PossDepartment of Biology, The Pennsylvania State University, University Park, PA, United States of America.ORCID 0000-0003-4147-2410
Pennsylvania State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Endogenous Retrovirus type K (HERV-K) is the only HERV known to be insertionally polymorphic; not all individuals have a retrovirus at a specific genomic location. It is possible that HERV-Ks contribute to human disease because people differ in both number and genomic location of these retroviruses. Indeed viral transcripts, proteins, and antibody against HERV-K are detected in cancers, auto-immune, and neurodegenerative diseases. However, attempts to link a polymorphic HERV-K with any disease have been frustrated in part because population prevalence of HERV-K provirus at each polymorphic site is lacking and it is challenging to identify closely related elements such as HERV-K from short read sequence data. We present an integrated and computationally robust approach that uses whole genome short read data to determine the occupation status at all sites reported to contain a HERV-K provirus. Our method estimates the proportion of fixed length genomic sequence (k-mers) from whole genome sequence data matching a reference set of k-mers unique to each HERV-K locus and applies mixture model-based clustering of these values to account for low depth sequence data. Our analysis of 1000 Genomes Project Data (KGP) reveals numerous differences among the five KGP super-populations in the prevalence of individual and co-occurring HERV-K proviruses; we provide a visualization tool to easily depict the proportion of the KGP populations with any combination of polymorphic HERV-K provirus. Further, because HERV-K is insertionally polymorphic, the genome burden of known polymorphic HERV-K is variable in humans; this burden is lowest in East Asian (EAS) individuals. Our study identifies population-specific sequence variation for HERV-K proviruses at several loci. We expect these resources will advance research on HERV-K contributions to human diseases.

Indexed as

AlgorithmsEndogenous RetrovirusesGenetics, PopulationGenome, HumanGenome, ViralGenomicsHumansMolecular EpidemiologyProvirusesRacial GroupsSoftware

Identifiers

PMID30921327
PMCPMC6456218
OpenAlexW2896396561

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.