Evidence map›Paper›PMID 41261097›Full record

ArticleScientific data2025

A curated dataset of great ape genome diversity.

Sojung Han, Sepand Riyahi, Xin Huang, Martin Kuhlwilm

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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.

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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

4 authors.

Sojung HanDepartment of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria.
Sepand RiyahiDepartment of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria.
Xin HuangDepartment of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria.ORCID 0000-0002-9918-9602
Martin KuhlwilmDepartment of Evolutionary Anthropology, University of Vienna, Djerassiplatz 1, 1030, Vienna, Austria. martin.kuhlwilm@univie.ac.at.ORCID 0000-0002-0115-1797

Funding

Österreichische Forschungsförderungsgesellschaft (Austrian Research Promotion Agency) 10.55776/ESP546Vienna Science and Technology Fund (Wiener Wissenschafts-, Forschungs- und Technologiefonds) 10.47379/VRG20001
6 · The paper itself

Abstract

Studying the genetic diversity of non-human great apes is important for research questions in evolution as well as human diversity and disease. Genomic data of the three great ape clades (Pan, Gorilla, Pongo) has been published across multiple studies over more than one decade. However, unlike in humans, no comprehensive dataset on great ape diversity is available, due to different scopes of the original studies. Here, we present a curated dataset of 332 high coverage (≥12-fold) whole genomes, including 198 chimpanzee, 16 bonobo, 77 gorilla and 41 orangutan individuals sequenced on the Illumina platform. By integrating data from captive individuals, we contextualize them with data from wild individuals. We discuss issues with previously published data leading to removal of individuals due to low sequencing depth, missing data, or occurrence of duplicate individuals. This resource of files in CRAM and gVCF format, as well as segregating sites per clade, will allow researchers to address questions related to human and great ape evolution and diversity in a comparative manner.

Indexed as

Genetic VariationGenomeHominidaeAnimalsGorilla gorillaHumansPan troglodytes

Identifiers

PMID41261097
PMCPMC12630759

What OpenQuestion holds

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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.