Evidence map›Paper›PMID 26545921›Full record

ArticleMolecular biology and evolution2016

Estimating the Ages of Selection Signals from Different Epochs in Human History.

Shigeki Nakagome, Gorka Alkorta-Aranburu, Roberto Amato, Bryan Howie, Benjamin M Peter, Richard R Hudson, Anna Di Rienzo

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Observational
  2. Article
  3. Why humans evolved blue eyes.Frontiers in psychology · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. A vertebrate adaptive radiation is assembled from an ancient and disjunct spatiotemporal landscape.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Ancient RNA virus epidemics through the lens of recent adaptation in human genomes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  9. Article
  10. Evolutionary dynamics of recent selection on cognitive abilities.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  11. Article
  12. Searching for Sympatric Speciation in the Genomic Era.BioEssays : news and reviews in molecular, cellular and developmental biology · 2019
    Review
  13. Article
  14. Rapid evolution of a skin-lightening allele in southern African KhoeSan.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

7 authors.

Shigeki NakagomeDepartment of Human Genetics, University of Chicago.
Gorka Alkorta-AranburuDepartment of Human Genetics, University of Chicago.
Roberto AmatoWellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, United Kingdom.
Bryan HowieDepartment of Human Genetics, University of Chicago.
Benjamin M PeterDepartment of Human Genetics, University of Chicago.
Richard R HudsonDepartment of Human Genetics, University of Chicago Department of Ecology and Evolution, University of Chicago dirienzo@bsd.uchicago.edu rr-hudson@uchicago.edu.
Anna Di RienzoDepartment of Human Genetics, University of Chicago dirienzo@bsd.uchicago.edu rr-hudson@uchicago.edu.

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI CHIEN-MIN KAO · 1985 to 2026
$122.1M
Genetic adaptations to high altitudeR01HL119577 · NHLBI · UNIVERSITY OF CHICAGO · PI DI RIENZO, ANNA · 2014 to 2023
$4.9M
Evolutionary genomics of the vitamin D pathway in humans - Resubmission 01R01GM101682 · NIGMS · UNIVERSITY OF CHICAGO · PI DI RIENZO, ANNA · 2012 to 2015
$1.2M
NCI NIH HHS P30 CA014599NCI NIH HHS P30 CA14599NHLBI NIH HHS R01 HL119577NIGMS NIH HHS R01GM10168NIGMS NIH HHS R01 GM101682
6 · The paper itself

Abstract

Genetic variation harbors signatures of natural selection driven by selective pressures that are often unknown. Estimating the ages of selection signals may allow reconstructing the history of environmental changes that shaped human phenotypes and diseases. We have developed an approximate Bayesian computation (ABC) approach to estimate allele ages under a model of selection on new mutations and under demographic models appropriate for human populations. We have applied it to two resequencing data sets: An ultra-high depth data set from a relatively small sample of unrelated individuals and a lower depth data set in a larger sample with transmission information. In addition to evaluating the accuracy of our method based on simulations, for each SNP, we assessed the consistency between the posterior probabilities estimated by the ABC approach and the ancient DNA record, finding good agreement between the two types of data and methods. Applying this ABC approach to data for eight single nucleotide polymorphisms (SNPs), we were able to rule out an onset of selection prior to the dispersal out-of-Africa for three of them and more recent than the spread of agriculture for an additional three SNPs.

Indexed as

Genetics, PopulationModels, GeneticSelection, GeneticAllelesBayes TheoremComputational BiologyComputer SimulationEvolution, MolecularGene FrequencyGenetic VariationHumansPolymorphism, Single NucleotideSequence Analysis, DNAapproximate Bayesian computationautoimmune diseaseonset of selectionselective pressures

Identifiers

PMID26545921
PMCPMC5009997

What OpenQuestion holds

Textmetadata
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.