Evidence map›Paper›PMID 27212471›Full record

ArticleScientific reports2016

Ancient Human Migration after Out-of-Africa.

Daniel Shriner, Fasil Tekola-Ayele, Adebowale Adeyemo, Charles N Rotimi

Abstract readHistorical Article
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

4 authors.

Daniel ShrinerCenter for Research on Genomics and Global Health National Human Genome Research Institute, Building 12A, Room 4047 12 South Drive, Bethesda, Maryland 20892, USA.
Fasil Tekola-AyeleCenter for Research on Genomics and Global Health National Human Genome Research Institute, Building 12A, Room 4047 12 South Drive, Bethesda, Maryland 20892, USA.
Adebowale AdeyemoCenter for Research on Genomics and Global Health National Human Genome Research Institute, Building 12A, Room 4047 12 South Drive, Bethesda, Maryland 20892, USA.
Charles N RotimiCenter for Research on Genomics and Global Health National Human Genome Research Institute, Building 12A, Room 4047 12 South Drive, Bethesda, Maryland 20892, USA.

Funding

Genetic epidemiology of complex diseasesZIAHG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2009 to 2025
$54.7M
Genetic epidemiology of complex diseasesZ01HG200362 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ROTIMI, CHARLES · 2008 to 2008
$1.7M
Intramural NIH HHS Z01 HG200362
6 · The paper itself

Abstract

The serial founder model of modern human origins predicts that the phylogeny of ancestries exhibits bifurcating, tree-like behavior. Here, we tested this prediction using three methods designed to investigate gene flow in autosome-wide genotype data from 3,528 unrelated individuals from 163 global samples. Specifically, we investigated whether Cushitic ancestry has an East African or Middle Eastern origin. We found evidence for non-tree-like behavior in the form of four migration events. First, we found that Cushitic ancestry is a mixture of ancestries closely related to Arabian ancestry and Nilo-Saharan or Omotic ancestry. We found evidence for additional migration events in the histories of: 1) Indian and Arabian ancestries, 2) Kalash ancestry, and 3) Native American and Northern European ancestries. These findings, based on analysis of ancestry of present-day humans, reveal migration in the distant past and provide new insights into human history.

Indexed as

Africa, EasternBlack PeopleFounder EffectGene FlowGenetics, PopulationGenome, HumanHistory, AncientHuman MigrationHumansMiddle EastPhylogenyWhite People

Identifiers

PMID27212471
PMCPMC4876373

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.