Evidence map›Paper›PMID 19098910›Full record

ArticleNature genetics2009

Accelerated genetic drift on chromosome X during the human dispersal out of Africa.

Alon Keinan, James C Mullikin, Nick Patterson, David Reich

Open access · greenAbstract read
In one paragraph

Article in Nature genetics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
9.2field-weighted citation impact, top 2% 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

88 citing papers in PubMed, 173 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Complex patterns of sex-biased demography in canines.Proceedings. Biological sciences · 2019
    Article
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Alon KeinanDepartment of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA. akeinan@genetics.med.harvard.edu
James C Mullikin
Nick Patterson
David Reich
Massachusetts Institute of Technology · USNational Institutes of Health · US

Funding

Comparative Genomics Unit ResearchZIAHG200330 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI MULLIKIN, JAMES C · 2009 to 2022
$17.9M
Population structure in whole-genome disease scansU01HG004168 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2006 to 2008
$991k
Intramural NIH HHSNHGRI NIH HHS U01 HG004168
6 · The paper itself

Abstract

Comparisons of chromosome X and the autosomes can illuminate differences in the histories of males and females as well as shed light on the forces of natural selection. We compared the patterns of variation in these parts of the genome using two datasets that we assembled for this study that are both genomic in scale. Three independent analyses show that around the time of the dispersal of modern humans out of Africa, chromosome X experienced much more genetic drift than is expected from the pattern on the autosomes. This is not predicted by known episodes of demographic history, and we found no similar patterns associated with the dispersals into East Asia and Europe. We conclude that a sex-biased process that reduced the female effective population size, or an episode of natural selection unusually affecting chromosome X, was associated with the founding of non-African populations.

Indexed as

Emigration and ImmigrationGenetic DriftAfricaChromosomes, Human, XEvolution, MolecularFemaleGenetic VariationHumansMaleSelection, GeneticSex CharacteristicsSex Ratio

Identifiers

PMID19098910
PMCPMC2612098
OpenAlexW2097575470

What OpenQuestion holds

Textmetadata
LicenceTDM
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.