Evidence map›Paper›PMID 18791252›Full record

ArticleGenetics2008

Evolution of primate gene expression: drift and corrective sweeps?

R Chaix, M Somel, D P Kreil, P Khaitovich, G A Lunter

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.1field-weighted citation impact, top 44% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

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  15. Conservation and divergence in Toll-like receptor 4-regulated gene expression in primary human versus mouse macrophages.Proceedings of the National Academy of Sciences of the United States of America · 2012
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  16. Review
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

5 authors at 5 institutions in 5 countries.

R ChaixDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
M Somel
D P Kreil
P Khaitovich
G A Lunter
BOKU University · ATChinese Academy of Sciences · CNGenomics (United Kingdom) · GBMusée de l'Homme · FRShanghai Institutes for Biological Sciences · CN

Funding

Medical Research Council G0501331
6 · The paper itself

Abstract

Changes in gene expression play an important role in species' evolution. Earlier studies uncovered evidence that the effect of mutations on expression levels within the primate order is skewed, with many small downregulations balanced by fewer but larger upregulations. In addition, brain-expressed genes appeared to show an increased rate of evolution on the branch leading to human. However, the lack of a mathematical model adequately describing the evolution of gene expression precluded the rigorous establishment of these observations. Here, we develop mathematical tools that allow us to revisit these earlier observations in a model-testing and inference framework. We introduce a model for skewed gene-expression evolution within a phylogenetic tree and use a separate model to account for biological or experimental outliers. A Bayesian Markov chain Monte Carlo inference procedure allows us to infer the phylogeny and other evolutionary parameters, while quantifying the confidence in these inferences. Our results support previous observations; in particular, we find strong evidence for a sustained positive skew in the distribution of gene-expression changes in primate evolution. We propose a "corrective sweep" scenario to explain this phenomenon.

Indexed as

Evolution, MolecularGene ExpressionModels, BiologicalModels, StatisticalAnimalsBrainComputer SimulationGene Expression ProfilingGenomeHumansMonte Carlo MethodPhylogenyPrimatesSpecies Specificity

Identifiers

PMID18791252
PMCPMC2581942
OpenAlexW2134497859

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.