Evidence map›Paper›PMID 27601674›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Variation in the molecular clock of primates.

Priya Moorjani, Carlos Eduardo G Amorim, Peter F Arndt, Molly Przeworski

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 114 papers.

0numbers the graph read from it
0cells of the map it votes in
114citing papers in PubMed
17.6field-weighted citation impact, top 1% 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

114 citing papers in PubMed, 249 citations in OpenAlex.

  1. Environmental Context of Hominin Foot Evolution.American journal of biological anthropology · 2026
    Article
  2. Article
  3. Parting ways: Pan-Homo divergence revisited.Primates; journal of primatology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. What sets the mutation rate of a cell type in an animal species?bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

54 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 at 3 institutions in 2 countries.

Priya MoorjaniDepartment of Biological Sciences, Columbia University, New York, NY 10027; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142; pm2730@columbia.edu mp3284@columbia.edu.
Carlos Eduardo G AmorimDepartment of Biological Sciences, Columbia University, New York, NY 10027;
Peter F ArndtDepartment of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, 14195 Berlin, Germany;
Molly PrzeworskiDepartment of Biological Sciences, Columbia University, New York, NY 10027; Department of Systems Biology, Columbia University, New York, NY 10027 pm2730@columbia.edu mp3284@columbia.edu.
Columbia University · USBroad Institute · USMax Planck Institute for Molecular Genetics · DE

Funding

High-performance compute cluster for biomedical computingS10OD012351 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2012 to 2012
$2.0M
Mutation rate variation in primatesR01GM122975 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
Storage System for High Performance ComputingS10OD021764 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI CALIFANO, ANDREA · 2016 to 2016
$600k
Dating ancient samples using the molecular clocks of mutation and recombinationF32GM115006 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MOORJANI, PRIYA · 2015 to 2016
$109k
NIGMS NIH HHS F32 GM115006NIGMS NIH HHS R01 GM122975NIH HHS S10 OD012351NIH HHS S10 OD021764
6 · The paper itself

Abstract

Events in primate evolution are often dated by assuming a constant rate of substitution per unit time, but the validity of this assumption remains unclear. Among mammals, it is well known that there exists substantial variation in yearly substitution rates. Such variation is to be expected from differences in life history traits, suggesting it should also be found among primates. Motivated by these considerations, we analyze whole genomes from 10 primate species, including Old World Monkeys (OWMs), New World Monkeys (NWMs), and apes, focusing on putatively neutral autosomal sites and controlling for possible effects of biased gene conversion and methylation at CpG sites. We find that substitution rates are up to 64% higher in lineages leading from the hominoid-NWM ancestor to NWMs than to apes. Within apes, rates are ∼2% higher in chimpanzees and ∼7% higher in the gorilla than in humans. Substitution types subject to biased gene conversion show no more variation among species than those not subject to it. Not all mutation types behave similarly, however; in particular, transitions at CpG sites exhibit a more clocklike behavior than do other types, presumably because of their nonreplicative origin. Thus, not only the total rate, but also the mutational spectrum, varies among primates. This finding suggests that events in primate evolution are most reliably dated using CpG transitions. Taking this approach, we estimate the human and chimpanzee divergence time is 12.1 million years,​ and the human and gorilla divergence time is 15.1 million years​.

Indexed as

Evolution, MolecularGenetic VariationAmino Acid SubstitutionAnimalsBiological EvolutionDNA MethylationGene ConversionGenomeGorilla gorillaHumansPan troglodytesPrimatesCpG transition ratehuman–ape divergence timemolecular clockmutation rateprimate evolution

Identifiers

PMID27601674
PMCPMC5035889
OpenAlexW2516461792

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.