Evidence map›Paper›PMID 34349118›Full record

ArticleScientific data2021

A curated dataset of modern and ancient high-coverage shotgun human genomes.

Pierpaolo Maisano Delser, Eppie R Jones, Anahit Hovhannisyan, Lara Cassidy, Ron Pinhasi, Andrea Manica

Abstract readDataset
In one paragraph

Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Pan-African model explainsbioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. 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

6 authors.

Pierpaolo Maisano DelserDepartment of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK. pm604@cam.ac.uk.ORCID 0000-0002-1844-1715
Eppie R JonesDepartment of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK.
Anahit HovhannisyanInstitute of Molecular Biology, National Academy of Sciences, 7 Hasratyan Street, 0014, Yerevan, Armenia.
Lara CassidySmurfit Institute of Genetics, Trinity College Dublin, Dublin, 2, Ireland.
Ron PinhasiDepartment of Evolutionary Anthropology, University of Vienna, 1090, Vienna, Austria.ORCID 0000-0003-1629-8131
Andrea ManicaDepartment of Zoology, University of Cambridge, Cambridge, CB2 3EJ, UK. am315@cam.ac.uk.ORCID 0000-0003-1895-450X

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Excellent Science (H2020 Priority Excellent Science) 647797EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 263441EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 649307
6 · The paper itself

Abstract

Over the last few years, genome-wide data for a large number of ancient human samples have been collected. Whilst datasets of captured SNPs have been collated, high coverage shotgun genomes (which are relatively few but allow certain types of analyses not possible with ascertained captured SNPs) have to be reprocessed by individual groups from raw reads. This task is computationally intensive. Here, we release a dataset including 35 whole-genome sequenced samples, previously published and distributed worldwide, together with the genetic pipeline used to process them. The dataset contains 72,041,355 sites called across 19 ancient and 16 modern individuals and includes sequence data from four previously published ancient samples which we sequenced to higher coverage (10-18x). Such a resource will allow researchers to analyse their new samples with the same genetic pipeline and directly compare them to the reference dataset without re-processing published samples. Moreover, this dataset can be easily expanded to increase the sample distribution both across time and space.

Indexed as

Genome, HumanWhole Genome SequencingComputational BiologyDNA, AncientHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNADNA, Ancient

Identifiers

PMID34349118
PMCPMC8338957

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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.