Evidence map›Paper›PMID 34272242›Full record

ArticleScience advances2021

An ancestral recombination graph of human, Neanderthal, and Denisovan genomes.

Nathan K Schaefer, Beth Shapiro, Richard E Green

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.9field-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

36 citing papers in PubMed, 111 citations in OpenAlex.

  1. Article
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  4. Review
  5. Polarising SNPs Without Outgroup.Molecular ecology resources · 2026
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  7. Review
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  19. A general and efficient representation of ancestral recombination graphs.bioRxiv : the preprint server for biology · 2024
    Article
  20. Article
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

3 authors at 2 institutions in 1 country.

Nathan K SchaeferHoward Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.ORCID 0000-0001-5881-7329
Beth ShapiroHoward Hughes Medical Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA.ORCID 0000-0002-2733-7776
Richard E GreenGenomics Institute, University of California, Santa Cruz, Santa Cruz, CA 95064, USA. ed@soe.ucsc.edu.ORCID 0000-0003-0516-5827
Howard Hughes Medical Institute · USUniversity of California, Santa Cruz · US

Funding

UC Santa Cruz Training Program In Genomic SciencesT32HG008345 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI BROOKS, ANGELA NORIE, GREEN, RICHARD EDWARD · 2015 to 2020
$1.4M
Howard Hughes Medical InstituteNHGRI NIH HHS T32 HG00834NHGRI NIH HHS T32 HG008345
6 · The paper itself

Abstract

Many humans carry genes from Neanderthals, a legacy of past admixture. Existing methods detect this archaic hominin ancestry within human genomes using patterns of linkage disequilibrium or direct comparison to Neanderthal genomes. Each of these methods is limited in sensitivity and scalability. We describe a new ancestral recombination graph inference algorithm that scales to large genome-wide datasets and demonstrate its accuracy on real and simulated data. We then generate a genome-wide ancestral recombination graph including human and archaic hominin genomes. From this, we generate a map within human genomes of archaic ancestry and of genomic regions not shared with archaic hominins either by admixture or incomplete lineage sorting. We find that only 1.5 to 7% of the modern human genome is uniquely human. We also find evidence of multiple bursts of adaptive changes specific to modern humans within the past 600,000 years involving genes related to brain development and function.

Indexed as

HominidaeNeanderthalsAnimalsGenome, HumanGenomicsHumansRecombination, Genetic

Identifiers

PMID34272242
PMCPMC8284891
OpenAlexW3182837943

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.