Evidence map›Paper›PMID 17066299›Full record

ReviewHuman genetics2007

Structural divergence between the human and chimpanzee genomes.

Hildegard Kehrer-Sawatzki, David N Cooper

Abstract readComparative StudyReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
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  7. Lineage-specific expansions of TET/JBP genes and a new class of DNA transposons shape fungal genomic and epigenetic landscapes.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Adaptive evolution of UGT2B17 copy-number variation.American journal of human genetics · 2008
    Article
  19. 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

2 authors.

Hildegard Kehrer-SawatzkiDepartment of Human Genetics, University of Ulm, Ulm, Germany. hildegard.kehrer-sawatzki@uni-ulm.de
David N Cooper

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The structural microheterogeneity evident between the human and chimpanzee genomes is quite considerable and includes inversions and duplications as well as deletions, ranging in size from a few base-pairs up to several megabases (Mb). Insertions and deletions have together given rise to at least 150 Mb of genomic DNA sequence that is either present or absent in humans as compared to chimpanzees. Such regions often contain paralogous sequences and members of multigene families thereby ensuring that the human and chimpanzee genomes differ by a significant fraction of their gene content. There is as yet no evidence to suggest that the large chromosomal rearrangements which serve to distinguish the human and chimpanzee karyotypes have influenced either speciation or the evolution of lineage-specific traits. However, the myriad submicroscopic rearrangements in both genomes, particularly those involving copy number variation, are unlikely to represent exclusively neutral changes and hence promise to facilitate the identification of genes that have been important for human-specific evolution.

Indexed as

Genome, HumanAnimalsChromosome InversionDNADNA Transposable ElementsEvolution, MolecularFemaleGene DosageGene RearrangementHumansKaryotypingMaleModels, GeneticMultigene FamilyPan troglodytesRecombination, GeneticDNADNA Transposable Elements

Identifiers

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.