Evidence map›Paper›PMID 19411596›Full record

ArticleGenome research2009

Constructing genomic maps of positive selection in humans: where do we go from here?

Joshua M Akey

Abstract read
In one paragraph

Article in Genome research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 242 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
242citing papers in PubMed, 1 pooled it
–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

242 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  14. Archaic hominin admixture and its consequences for modern humans.Current opinion in genetics & development · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. A genomic analysis of the University of Nebraska Replicated Recurrent Selection program.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  19. A deep catalog of protein-coding variation in 985,830 individuals.bioRxiv : the preprint server for biology · 2023
    Article
  20. Article

182 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

1 author.

Joshua M AkeyDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA. akeyj@u.washington.edu

Funding

Genome-Wide Analysis of Adaptive Evolution in HumansR01GM076036 · NIGMS · UNIVERSITY OF WASHINGTON · PI AKEY, JOSHUA MICHAEL · 2006 to 2010
$1.3M
NIGMS NIH HHS 1 R01 GM076036-01A1NIGMS NIH HHS R01 GM076036
6 · The paper itself

Abstract

Identifying targets of positive selection in humans has, until recently, been frustratingly slow, relying on the analysis of individual candidate genes. Genomics, however, has provided the necessary resources to systematically interrogate the entire genome for signatures of natural selection. To date, 21 genome-wide scans for recent or ongoing positive selection have been performed in humans. A key challenge is to begin synthesizing these newly constructed maps of positive selection into a coherent narrative of human evolutionary history and derive a deeper mechanistic understanding of how natural populations evolve. Here, I chronicle the recent history of the burgeoning field of human population genomics, critically assess genome-wide scans for positive selection in humans, identify important gaps in knowledge, and discuss both short- and long-term strategies for traversing the path from the low-resolution, incomplete, and error-prone maps of selection today to the ultimate goal of a detailed molecular, mechanistic, phenotypic, and population genetics characterization of adaptive alleles.

Indexed as

Selection, GeneticEvolution, MolecularGenetics, PopulationGenetic VariationGenome, HumanGenome-Wide Association StudyGenomicsHumansPhenotype

Identifiers

PMID19411596
PMCPMC3647533

What OpenQuestion holds

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Registered trials

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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.