Evidence map›Paper›PMID 25168683›Full record

ReviewTrends in genetics : TIG2014

Toward a new history and geography of human genes informed by ancient DNA.

Joseph K Pickrell, David Reich

Abstract readHistorical ArticleReview
In one paragraph

Review in Trends in genetics : TIG, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Methods for Assessing Population Relationships and History Using Genomic Data.Annual review of genomics and human genetics · 2023
    Review
  11. Review
  12. Peer community journal · 2023
    Article
  13. Article
  14. Review
  15. The apportionment of citations: a scientometric analysis of Lewontin 1972.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  16. A geometric relationship ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  17. Article
  18. Article
  19. Article
  20. Health equality, race and pharmacogenomics.British journal of clinical pharmacology · 2022
    Review

13 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

2 authors.

Joseph K PickrellNew York Genome Center, New York, NY, USA; Department of Biological Sciences, Columbia University, New York, NY, USA. Electronic address: jkpickrell@nygenome.org.
David ReichDepartment of Genetics, Harvard Medical School, Boston, MA, USA; Howard Hughes Medical Institute, Harvard Medical School, Boston, MA, USA; Broad Institute of the Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, MA, USA. Electronic address: reich@genetics.med.harvard.edu.

Funding

Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
Population genetics methods for inference of ancestry and association mapping inF32GM103098 · NIGMS · HARVARD MEDICAL SCHOOL · PI PICKRELL, JOSEPH · 2012 to 2013
$65k
Howard Hughes Medical InstituteNIGMS NIH HHS F32 GM103098NIGMS NIH HHS GM100233NIGMS NIH HHS R01 GM100233
6 · The paper itself

Abstract

Genetic information contains a record of the history of our species, and technological advances have transformed our ability to access this record. Many studies have used genome-wide data from populations today to learn about the peopling of the globe and subsequent adaptation to local conditions. Implicit in this research is the assumption that the geographic locations of people today are informative about the geographic locations of their ancestors in the distant past. However, it is now clear that long-range migration, admixture, and population replacement subsequent to the initial out-of-Africa expansion have altered the genetic structure of most of the world's human populations. In light of this we argue that it is time to critically reevaluate current models of the peopling of the globe, as well as the importance of natural selection in determining the geographic distribution of phenotypes. We specifically highlight the transformative potential of ancient DNA. By accessing the genetic make-up of populations living at archaeologically known times and places, ancient DNA makes it possible to directly track migrations and responses to natural selection.

Indexed as

Genetics, PopulationGenome, HumanGeographyAfricaDNAEvolution, MolecularHistory, AncientHumansPhenotypeSelection, GeneticDNA

Identifiers

PMID25168683
PMCPMC4163019

What OpenQuestion holds

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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.