Evidence map›Paper›PMID 11992255›Full record

ArticleAmerican journal of human genetics2002

Genomewide comparison of DNA sequences between humans and chimpanzees.

Ingo Ebersberger, Dirk Metzler, Carsten Schwarz, Svante Pääbo

Abstract readComparative Study
In one paragraph

Article in American journal of human genetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 150 papers.

0numbers the graph read from it
0cells of the map it votes in
150citing 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

150 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. A Methodology to Study Pseudogenized lincRNAs.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  18. Review
  19. Article
  20. Article

90 more citing papers are in PubMed but not listed here.

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.

Ingo EbersbergerMax Planck Institute for Evolutionary Anthropology, Inselstrasse 22, D-04103 Leipzig, Germany.
Dirk Metzler
Carsten Schwarz
Svante Pääbo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 8,859 DNA sequences encompassing approximately 1.9 million base pairs of the chimpanzee genome were sequenced and compared to corresponding human DNA sequences. Although the average sequence difference is low (1.24%), the extent of changes is markedly different among sites and types of substitutions. Whereas approximately 15% of all CpG sites have experienced changes between humans and chimpanzees, owing to a 23-fold excess of transitions and a 7-fold excess of transversions, substitutions at other sites vary in frequency, between 0.1% and 0.5%. If the nucleotide diversity in the common ancestral species of humans and chimpanzees is assumed to have been about fourfold higher than in contemporary humans, all possible comparisons between autosomes and X and Y chromosomes result in estimates of the ratio between male and female mutation rates of approximately 3. Thus, the relative time spent in the male and female germlines may be a major determinant of the overall accumulation of nucleotide substitutions. However, since the extent of divergence differs significantly among autosomes, additional unknown factors must also influence the accumulation of substitutions in the human genome.

Indexed as

Evolution, MolecularGenomeGenome, HumanAnimalsChromosomesCpG IslandsFemaleHumansKineticsMaleMutagenesisMutationPan troglodytesPolymorphism, GeneticSex Characteristics

Identifiers

PMID11992255
PMCPMC379137

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.