Evidence map›Paper›PMID 28228978›Full record

ReviewMobile genetic elements2017

Population and clinical genetics of human transposable elements in the (post) genomic era.

Lavanya Rishishwar, Lu Wang, Evan A Clayton, Leonardo Mariño-Ramírez, John F McDonald, I King Jordan

Open access · diamondAbstract readReview
In one paragraph

Review in Mobile genetic elements, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.6field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. PeerJ · 2021
    Article
  6. Article
  7. Article
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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

6 authors at 3 institutions in 2 countries.

Lavanya RishishwarSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia; Applied Bioinformatics Laboratory, Atlanta, GA, USA.
Lu WangSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia.
Evan A ClaytonSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; Ovarian Cancer Institute, Atlanta, GA, USA.
Leonardo Mariño-RamírezPanAmerican Bioinformatics Institute, Cali, Colombia; National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
John F McDonaldSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; Ovarian Cancer Institute, Atlanta, GA, USA.
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA; PanAmerican Bioinformatics Institute, Cali, Colombia; Applied Bioinformatics Laboratory, Atlanta, GA, USA.
Georgia Institute of Technology · USPanAmerican Bioinformatics Institute · COOvarian Cancer Institute · US

Funding

Genome Assemblies, Analyses, and ComparisonsZIALM082713 · NLM · NATIONAL LIBRARY OF MEDICINE · PI LANDSMAN, DAVID · 2013 to 2025
$3.5M
Intramural NIH HHS Z99 LM999999Intramural NIH HHS ZIA LM082713
6 · The paper itself

Abstract

Recent technological developments-in genomics, bioinformatics and high-throughput experimental techniques-are providing opportunities to study ongoing human transposable element (TE) activity at an unprecedented level of detail. It is now possible to characterize genome-wide collections of TE insertion sites for multiple human individuals, within and between populations, and for a variety of tissue types. Comparison of TE insertion site profiles between individuals captures the germline activity of TEs and reveals insertion site variants that segregate as polymorphisms among human populations, whereas comparison among tissue types ascertains somatic TE activity that generates cellular heterogeneity. In this review, we provide an overview of these new technologies and explore their implications for population and clinical genetic studies of human TEs. We cover both recent published results on human TE insertion activity as well as the prospects for future TE studies related to human evolution and health.

Indexed as

bioinformaticsdiseasegeneticsgenomicshealthhumannatural selectionpolymorphismstransposable elementstransposition

Identifiers

PMID28228978
PMCPMC5305044
OpenAlexW2573945286

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.