Evidence map›Paper›PMID 34521843›Full record

ArticleNature communications2021

Parental relatedness through time revealed by runs of homozygosity in ancient DNA.

Harald Ringbauer, John Novembre, Matthias Steinrücken

Abstract readHistorical Article
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 161 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
161citing 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

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

  1. Pooled it
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  6. High-coverage ancient genomes reveal divergent population histories and prehistoric starch-related genetic variation in Japan.Proceedings of the National Academy of Sciences of the United States of America · 2026
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101 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

3 authors.

Harald RingbauerDepartment of Archaeogenetics, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany. harald_ringbauer@eva.mpg.de.
John Novembre *Department of Human Genetics, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-5345-0214
Matthias Steinrücken *Department of Human Genetics, University of Chicago, Chicago, IL, USA.

Funding

Haplotype-based analysis methods for population genomicsR01HG007089 · NHGRI · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2013 to 2017
$1.5M
Extending Tools for Visualization of Geographic Structure in Population Genomic DataR01GM132383 · NIGMS · UNIVERSITY OF CHICAGO · PI NOVEMBRE, JOHN · 2019 to 2022
$1.4M
NHGRI NIH HHS R01 HG007089NIGMS NIH HHS R01 GM132383
6 · The paper itself

Abstract

Parental relatedness of present-day humans varies substantially across the globe, but little is known about the past. Here we analyze ancient DNA, leveraging that parental relatedness leaves genomic traces in the form of runs of homozygosity. We present an approach to identify such runs in low-coverage ancient DNA data aided by haplotype information from a modern phased reference panel. Simulation and experiments show that this method robustly detects runs of homozygosity longer than 4 centimorgan for ancient individuals with at least 0.3 × coverage. Analyzing genomic data from 1,785 ancient humans who lived in the last 45,000 years, we detect low rates of first cousin or closer unions across most ancient populations. Moreover, we find a marked decay in background parental relatedness co-occurring with or shortly after the advent of sedentary agriculture. We observe this signal, likely linked to increasing local population sizes, across several geographic transects worldwide.

Indexed as

Genome, HumanHaplotypesHomozygoteInheritance PatternsAgricultureDNA, AncientFemaleHistory, AncientHumansMalePopulation DynamicsDNA, Ancient

Identifiers

PMID34521843
PMCPMC8440622

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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.