Evidence map›Paper›PMID 30552105›Full record

ArticleGenome research2019

A quantitative framework for characterizing the evolutionary history of mammalian gene expression.

Jenny Chen, Ross Swofford, Jeremy Johnson, Beryl B Cummings, Noga Rogel, Kerstin Lindblad-Toh, Wilfried Haerty, Federica di Palma, Aviv Regev

Abstract read
In one paragraph

Article in Genome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
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  6. Article
  7. Ancestral splice variation is a key substrate for rapid diversification in African cichlids.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  8. Why recombination hotspots?PLoS genetics · 2026
    Review
  9. Discriminating models of trait evolution.Evolution; international journal of organic evolution · 2026
    Article
  10. The molecular evolution of vertebrate organs.Nature ecology & evolution · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

15 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

9 authors.

Jenny ChenBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.ORCID 0000-0002-6664-2597
Ross SwoffordBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Jeremy JohnsonBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Beryl B CummingsBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Noga RogelKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Kerstin Lindblad-TohBroad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.
Wilfried HaertyEarlham Institute, Norwich NR4 7UZ, United Kingdom.
Federica di PalmaEarlham Institute, Norwich NR4 7UZ, United Kingdom.
Aviv RegevKlarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.

Funding

Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
Biotechnology and Biological Sciences Research Council BB/CSP1720/1Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817Howard Hughes Medical InstituteNHGRI NIH HHS RM1 HG006193NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

The evolutionary history of a gene helps predict its function and relationship to phenotypic traits. Although sequence conservation is commonly used to decipher gene function and assess medical relevance, methods for functional inference from comparative expression data are lacking. Here, we use RNA-seq across seven tissues from 17 mammalian species to show that expression evolution across mammals is accurately modeled by the Ornstein-Uhlenbeck process, a commonly proposed model of continuous trait evolution. We apply this model to identify expression pathways under neutral, stabilizing, and directional selection. We further demonstrate novel applications of this model to quantify the extent of stabilizing selection on a gene's expression, parameterize the distribution of each gene's optimal expression level, and detect deleterious expression levels in expression data from individual patients. Our work provides a statistical framework for interpreting expression data across species and in disease.

Indexed as

Evolution, MolecularModels, GeneticAnimalsDogsGene Expression RegulationRabbits

Identifiers

PMID30552105
PMCPMC6314168

What OpenQuestion holds

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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.