Evidence map›Paper›PMID 21926973›Full record

ArticleNature genetics2011

Bayesian inference of ancient human demography from individual genome sequences.

Ilan Gronau, Melissa J Hubisz, Brad Gulko, Charles G Danko, Adam Siepel

Abstract read
In one paragraph

Article in Nature genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 287 papers.

0numbers the graph read from it
0cells of the map it votes in
287citing 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

287 citing papers in PubMed.

  1. Trial
  2. Genetics and genomics of hybridization.Nature reviews. Genetics · 2026
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  18. The power of coalescent methods for inferring recent and ancient gene flow in endangered Bactrian camels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ilan GronauDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York, USA.
Melissa J Hubisz
Brad Gulko
Charles G Danko
Adam Siepel

Funding

Reproductive Sciences and Genomics Training ProgramT32HD052471 · NICHD · CORNELL UNIVERSITY · PI ROBERSON, MARK S · 2007 to 2016
$2.0M
NICHD NIH HHS T32 HD052471NICHD NIH HHS T32HD052471
6 · The paper itself

Abstract

Whole-genome sequences provide a rich source of information about human evolution. Here we describe an effort to estimate key evolutionary parameters based on the whole-genome sequences of six individuals from diverse human populations. We used a Bayesian, coalescent-based approach to obtain information about ancestral population sizes, divergence times and migration rates from inferred genealogies at many neutrally evolving loci across the genome. We introduce new methods for accommodating gene flow between populations and integrating over possible phasings of diploid genotypes. We also describe a custom pipeline for genotype inference to mitigate biases from heterogeneous sequencing technologies and coverage levels. Our analysis indicates that the San population of southern Africa diverged from other human populations approximately 108-157 thousand years ago, that Eurasians diverged from an ancestral African population 38-64 thousand years ago, and that the effective population size of the ancestors of all modern humans was ∼9,000.

Indexed as

Genetics, PopulationGenome, HumanPopulation DensityBayes TheoremChromosome MappingEvolution, MolecularGene FlowGenetic DriftGenetic VariationHumansModels, GeneticPopulation DynamicsSequence AlignmentValidation Studies as Topic

Identifiers

PMID21926973
PMCPMC3245873

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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.