Evidence map›Paper›PMID 24995867›Full record

ArticleAmerican journal of human genetics2014

Genome-wide identification and characterization of fixed human-specific regulatory regions.

Davide Marnetto, Ivan Molineris, Elena Grassi, Paolo Provero

Abstract read
In one paragraph

Article in American journal of human genetics, 2014. 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
–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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Contribution of transposable elements and distal enhancers to evolution of human-specific features of interphase chromatin architecture in embryonic stem cells.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2018
    Article
  5. Article
  6. Article
  7. Article
  8. 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.

Davide MarnettoDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Turin, Italy.
Ivan MolinerisDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Turin, Italy.
Elena GrassiDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Turin, Italy.
Paolo ProveroDepartment of Molecular Biotechnology and Health Sciences, University of Turin, 10126 Turin, Italy; Center for Translational Genomics and Bioinformatics, San Raffaele Scientific Institute, 20132 Milan, Italy. Electronic address: paolo.provero@unito.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Changes in gene regulatory networks are believed to have played an important role in the development of human-specific anatomy and behavior. We identified the human genome regions that show the typical chromatin marks of regulatory regions but cannot be aligned to other mammalian genomes. Most of these regions have become fixed in the human genome. Their regulatory targets are enriched in genes involved in neural processes, CNS development, and diseases such as autism, depression, and schizophrenia. Specific transposable elements contributing to the rewiring of the human regulatory network can be identified by the creation of human-specific regulatory regions. Our results confirm the relevance of regulatory evolution in the emergence of human traits and cognitive abilities and the importance of newly acquired genomic elements for such evolution.

Indexed as

Genome-Wide Association StudyRegulatory Sequences, Nucleic AcidAnimalsHumansSpecies Specificity

Identifiers

PMID24995867
PMCPMC4085640

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.