Evidence map›Paper›PMID 21745391›Full record

ArticleBMC evolutionary biology2011

Genetic adaptation of the antibacterial human innate immunity network.

Ferran Casals, Martin Sikora, Hafid Laayouni, Ludovica Montanucci, Aura Muntasell, Ross Lazarus, Francesc Calafell, Philip Awadalla, Mihai G Netea, Jaume Bertranpetit

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2011. 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
1.7field-weighted citation impact, top 16% 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, 28 citations in OpenAlex.

  1. Spatial Modularity of Innate Immune Networks Across Bactrian Camel Tissues.Animals : an open access journal from MDPI · 2025
    Article
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  7. Natural Selection in the Great Apes.Molecular biology and evolution · 2016
    Article
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  10. Article
  11. Review
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  14. Article
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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

10 authors at 5 institutions in 4 countries.

Ferran CasalsInstitute of Evolutionary Biology (UPF-CSIC), CEXS - UPF - PRBB, Barcelona, Catalonia, Spain. ferrancasalslopez@gmail.com
Martin Sikora
Hafid Laayouni
Ludovica Montanucci
Aura Muntasell
Ross Lazarus
Francesc Calafell
Philip Awadalla
Mihai G Netea
Jaume Bertranpetit
Institut de Biologia Evolutiva · ESHarvard University · USHospital Del Mar · ESRadboud University Nijmegen · NLUniversité de Montréal · CA

Funding

Statistical GeneticsP01HL083069 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI WEISS, SCOTT T · 2007 to 2011
$12.2M
A Genetic Association Research Statistical FrameworkR01HG003646 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI LAZARUS, ROSS · 2006 to 2008
$1.5M
An Efficient Lightweight Environment for Biomedical ComputationR01HG004909 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI NEKRUTENKO, ANTON · 2009 to 2011
$1.3M
NHGRI NIH HHS HG003646NHGRI NIH HHS HG004909NHLBI NIH HHS HL083069
6 · The paper itself

Abstract

backgroundPathogens have represented an important selective force during the adaptation of modern human populations to changing social and other environmental conditions. The evolution of the immune system has therefore been influenced by these pressures. Genomic scans have revealed that immune system is one of the functions enriched with genes under adaptive selection.

resultsHere, we describe how the innate immune system has responded to these challenges, through the analysis of resequencing data for 132 innate immunity genes in two human populations. Results are interpreted in the context of the functional and interaction networks defined by these genes. Nucleotide diversity is lower in the adaptors and modulators functional classes, and is negatively correlated with the centrality of the proteins within the interaction network. We also produced a list of candidate genes under positive or balancing selection in each population detected by neutrality tests and showed that some functional classes are preferential targets for selection.

conclusionsWe found evidence that the role of each gene in the network conditions the capacity to evolve or their evolvability: genes at the core of the network are more constrained, while adaptation mostly occurred at particular positions at the network edges. Interestingly, the functional classes containing most of the genes with signatures of balancing selection are involved in autoinflammatory and autoimmune diseases, suggesting a counterbalance between the beneficial and deleterious effects of the immune response.

Indexed as

Gene Regulatory NetworksGenetics, MedicalImmunity, InnateAdaptation, PhysiologicalBacterial InfectionsHumansImmune System

Identifiers

PMID21745391
PMCPMC3155920
OpenAlexW2157844098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.