Evidence map›Paper›PMID 25567848›Full record

ArticleEvolutionary applications2009

Evolutionary genetics as a tool to target genes involved in phenotypes of medical relevance.

Evelyne Heyer, Lluis Quintana-Murci

Abstract read
In one paragraph

Article in Evolutionary applications, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Editorial: 2009 in review.Evolutionary applications · 2010
    Article
  3. Editorial: evolutionary medicine special issue.Evolutionary applications · 2009
    Article
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

2 authors.

Evelyne HeyerMNHN, Eco-Anthropologie, UMR 5145, CNRS-MNHN-P7, Musée de l'Homme Paris, France.
Lluis Quintana-MurciInstitut Pasteur, Unit of Human Evolutionary Genetics, CNRS URA3012 Paris Cedex, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing interest in detecting genes, or genomic regions, that have been targeted by natural selection. Indeed, the evolutionary approach for inferring the action of natural selection in the human genome represents a powerful tool for predicting regions of the genome potentially associated with disease and of interest in epidemiological genetic studies. Here, we review several examples going from candidate gene studies associated with specific phenotypes, including nutrition, infectious disease and climate adaptation, to whole genome scans for natural selection. All these studies illustrate the power of the evolutionary approach in identifying regions of the genome having played a major role in human survival and adaptation.

Indexed as

epidemiologyevolutionhuman adaptationhuman diversityhuman genomeinfectious diseasenatural selectionnutrition

Identifiers

PMID25567848
PMCPMC3352415

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.