Evidence map›Paper›PMID 23312846›Full record

ReviewTrends in genetics : TIG2013

Mobile element biology: new possibilities with high-throughput sequencing.

Jinchuan Xing, David J Witherspoon, Lynn B Jorde

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. HERV-K HML-2 diversity among humans.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  20. 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

3 authors.

Jinchuan XingDepartment of Genetics, Human Genetic Institute of New Jersey, Rutgers, State University of New Jersey, Piscataway, NJ 08854, USA.
David J Witherspoon
Lynn B Jorde

Funding

POPULATION GENETICS OF MOBILE ELEMENTSR01GM059290 · NIGMS · UNIVERSITY OF UTAH · PI BATZER, MARK A, FESCHOTTE, CEDRIC · 1999 to 2018
$8.5M
High-throughput Mobile Element Genotyping Using Next-generation SequencingR00HG005846 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI XING, JINCHUAN · 2012 to 2014
$736k
NHGRI NIH HHS R00 HG005846NHGRI NIH HHS R00HG005846NIGMS NIH HHS GM059290NIGMS NIH HHS R01 GM059290
6 · The paper itself

Abstract

Mobile elements comprise more than half of the human genome, but until recently their large-scale detection was time consuming and challenging. With the development of new high-throughput sequencing (HTS) technologies, the complete spectrum of mobile element variation in humans can now be identified and analyzed. Thousands of new mobile element insertions (MEIs) have been discovered, yielding new insights into mobile element biology, evolution, and genomic variation. Here, we review several high-throughput methods, with an emphasis on techniques that specifically target MEIs in humans. We highlight recent applications of these methods in evolutionary studies and in the analysis of somatic alterations in human normal and tumor tissues.

Indexed as

Genome, HumanComputational BiologyGenetic VariationHigh-Throughput Nucleotide SequencingHumansInterspersed Repetitive SequencesNeoplasms

Identifiers

PMID23312846
PMCPMC3938198

What OpenQuestion holds

Textmetadata
LicenceTDM
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.