Evidence map›Paper›PMID 25971280›Full record

ArticleGenome biology and evolution2015

Inference of Evolutionary Forces Acting on Human Biological Pathways.

Josephine T Daub, Isabelle Dupanloup, Marc Robinson-Rechavi, Laurent Excoffier

Abstract read
In one paragraph

Article in Genome biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Global impact of micronutrients in modern human evolution.American journal of human genetics · 2025
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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.

Josephine T DaubCMPG, Institute of Ecology and Evolution, University of Berne, Switzerland Swiss Institute of Bioinformatics SIB, Lausanne, Switzerland Present address: Institute of Evolutionary Biology (UPF-CSIC), Barcelona, Spain josephine.daub@upf.edu laurent.excoffier@iee.unibe.ch.
Isabelle DupanloupCMPG, Institute of Ecology and Evolution, University of Berne, Switzerland Swiss Institute of Bioinformatics SIB, Lausanne, Switzerland.
Marc Robinson-RechaviSwiss Institute of Bioinformatics SIB, Lausanne, Switzerland Department of Ecology and Evolution, University of Lausanne, Switzerland.
Laurent ExcoffierCMPG, Institute of Ecology and Evolution, University of Berne, Switzerland Swiss Institute of Bioinformatics SIB, Lausanne, Switzerland josephine.daub@upf.edu laurent.excoffier@iee.unibe.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because natural selection is likely to act on multiple genes underlying a given phenotypic trait, we study here the potential effect of ongoing and past selection on the genetic diversity of human biological pathways. We first show that genes included in gene sets are generally under stronger selective constraints than other genes and that their evolutionary response is correlated. We then introduce a new procedure to detect selection at the pathway level based on a decomposition of the classical McDonald-Kreitman test extended to multiple genes. This new test, called 2DNS, detects outlier gene sets and takes into account past demographic effects and evolutionary constraints specific to gene sets. Selective forces acting on gene sets can be easily identified by a mere visual inspection of the position of the gene sets relative to their two-dimensional null distribution. We thus find several outlier gene sets that show signals of positive, balancing, or purifying selection but also others showing an ancient relaxation of selective constraints. The principle of the 2DNS test can also be applied to other genomic contrasts. For instance, the comparison of patterns of polymorphisms private to African and non-African populations reveals that most pathways show a higher proportion of nonsynonymous mutations in non-Africans than in Africans, potentially due to different demographic histories and selective pressures.

Indexed as

Evolution, MolecularBlack PeopleData Interpretation, StatisticalDemographyGene Regulatory NetworksGenesGenomicsHumansMetabolic Networks and PathwaysMultifactorial InheritanceSelection, GeneticSignal Transductionhuman evolutionMcDonald–Kreitman testpathway analysispolygenic selection

Identifiers

PMID25971280
PMCPMC4494071

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.