Evidence map›Paper›PMID 32193295›Full record

ArticleScience (New York, N.Y.)2020

Insights into human genetic variation and population history from 929 diverse genomes.

Anders Bergström, Shane A McCarthy, Ruoyun Hui, Mohamed A Almarri, Qasim Ayub, Petr Danecek, Yuan Chen, Sabine Felkel, Pille Hallast, Jack Kamm and 11 more

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 585 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
585citing papers in PubMed, 3 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

585 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

21 authors.

Anders BergströmWellcome Sanger Institute, Hinxton CB10 1SA, UK. ab34@sanger.ac.uk cts@sanger.ac.uk.ORCID 0000-0002-4096-9268
Shane A McCarthy *Wellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0002-2715-4187
Ruoyun Hui *Department of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.ORCID 0000-0002-5689-7131
Mohamed A Almarri *Wellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0003-1255-0918
Qasim AyubWellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0003-3291-0917
Petr DanecekWellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0002-4159-1666
Yuan ChenWellcome Sanger Institute, Hinxton CB10 1SA, UK.
Sabine FelkelWellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0001-8935-8305
Pille HallastWellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0002-0588-3987
Jack KammWellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0003-2412-756X
Hélène BlanchéCentre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, 75010 Paris, France.ORCID 0000-0003-2115-575X
Jean-François DeleuzeCentre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, 75010 Paris, France.ORCID 0000-0002-5358-4463
Howard CannCentre d'Etude du Polymorphisme Humain, Fondation Jean Dausset, 75010 Paris, France.
Swapan MallickDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-4531-4439
David ReichDepartment of Genetics, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-7037-5292
Manjinder S SandhuWellcome Sanger Institute, Hinxton CB10 1SA, UK.
Pontus SkoglundThe Francis Crick Institute, London NW1 1AT, UK.ORCID 0000-0002-3021-5913
Aylwyn ScallyDepartment of Genetics, University of Cambridge, Cambridge CB2 3EH, UK.ORCID 0000-0002-0807-1167
Yali Xue *Wellcome Sanger Institute, Hinxton CB10 1SA, UK.
Richard Durbin *Wellcome Sanger Institute, Hinxton CB10 1SA, UK.ORCID 0000-0002-9130-1006
Chris Tyler-Smith *Wellcome Sanger Institute, Hinxton CB10 1SA, UK. ab34@sanger.ac.uk cts@sanger.ac.uk.ORCID 0000-0002-6492-5403

Funding

European Research CouncilHoward Hughes Medical InstituteMedical Research Council FC001595Wellcome Trust 098051Wellcome Trust 206194Wellcome Trust 207492Wellcome Trust 207492/Z/17/ZWellcome Trust FC001595
6 · The paper itself

Abstract

Genome sequences from diverse human groups are needed to understand the structure of genetic variation in our species and the history of, and relationships between, different populations. We present 929 high-coverage genome sequences from 54 diverse human populations, 26 of which are physically phased using linked-read sequencing. Analyses of these genomes reveal an excess of previously undocumented common genetic variation private to southern Africa, central Africa, Oceania, and the Americas, but an absence of such variants fixed between major geographical regions. We also find deep and gradual population separations within Africa, contrasting population size histories between hunter-gatherer and agriculturalist groups in the past 10,000 years, and a contrast between single Neanderthal but multiple Denisovan source populations contributing to present-day human populations.

Indexed as

Genetics, PopulationGenetic VariationGenome, HumanWhole Genome SequencingAfricaAmericasAnimalsAsiaDNA Copy Number VariationsHaplotypesHominidaeHumansINDEL MutationNeanderthalsOceaniaPhylogeny

Identifiers

PMID32193295
PMCPMC7115999

What OpenQuestion holds

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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.