Evidence map›Paper›PMID 35201891›Full record

ArticleScience (New York, N.Y.)2022

A unified genealogy of modern and ancient genomes.

Anthony Wilder Wohns, Yan Wong, Ben Jeffery, Ali Akbari, Swapan Mallick, Ron Pinhasi, Nick Patterson, David Reich, Jerome Kelleher, Gil McVean

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.

0numbers the graph read from it
0cells of the map it votes in
112citing 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

112 citing papers in PubMed.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Anthony Wilder WohnsBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0001-7353-1177
Yan Wong *Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-3536-6411
Ben JefferyBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-1982-6801
Ali AkbariBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-5000-5876
Swapan MallickBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-4531-4439
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, 1090 Vienna, Austria.ORCID 0000-0003-1629-8131
Nick PattersonBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0003-0302-684X
David ReichBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.ORCID 0000-0002-7037-5292
Jerome Kelleher *Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-7894-5253
Gil McVean *Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7LF, UK.ORCID 0000-0002-5012-4162

Funding

Solving ascertainment bias in ancient DNA using Ultima Genomics sequencingR01HG012287 · NHGRI · HARVARD MEDICAL SCHOOL · PI REICH, DAVID E · 2021 to 2025
$2.7M
Population mixture in evolutionary and medical geneticsR01GM100233 · NIGMS · HARVARD MEDICAL SCHOOL · PI PATTERSON, NICK J, REICH, DAVID E · 2012 to 2019
$2.7M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG012287NIGMS NIH HHS R01 GM100233Wellcome Trust
6 · The paper itself

Abstract

The sequencing of modern and ancient genomes from around the world has revolutionized our understanding of human history and evolution. However, the problem of how best to characterize ancestral relationships from the totality of human genomic variation remains unsolved. Here, we address this challenge with nonparametric methods that enable us to infer a unified genealogy of modern and ancient humans. This compact representation of multiple datasets explores the challenges of missing and erroneous data and uses ancient samples to constrain and date relationships. We demonstrate the power of the method to recover relationships between individuals and populations as well as to identify descendants of ancient samples. Finally, we introduce a simple nonparametric estimator of the geographical location of ancestors that recapitulates key events in human history.

Indexed as

DNA, AncientGenome, HumanGenomicsPedigreeAfricaChromosomes, Human, Pair 20Computer SimulationDatabases, Nucleic AcidDatasets as TopicEvolution, MolecularGenetics, PopulationGenetic VariationGeographyHaplotypesHuman MigrationHumansDNA, Ancient

Identifiers

PMID35201891
PMCPMC10027547

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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.