Evidence map›Paper›PMID 40634355›Full record

ArticleNature communications2025

Resolving out of Africa event for Papua New Guinean population using neural network.

Mayukh Mondal, Mathilde André, Ajai K Pathak, Nicolas Brucato, François-Xavier Ricaut, Mait Metspalu, Anders Eriksson

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Natural Selection of the CommonbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
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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

7 authors.

Mayukh MondalInstitute of Clinical Molecular Biology, Christian-Albrechts-Universität zu Kiel, Kiel, Germany. mondal.mayukh@gmail.com.ORCID http://orcid.org/0000-0003-0122-0323
Mathilde AndréCentre for Genomics, Evolution & Medicine, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.ORCID http://orcid.org/0000-0002-3279-0102
Ajai K PathakEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.ORCID http://orcid.org/0000-0003-2088-3616
Nicolas BrucatoCentre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3-Paul Sabatier (UT3), Toulouse, France.
François-Xavier RicautCentre de Recherche sur la Biodiversité et l'Environnement (CRBE), Université de Toulouse, CNRS, IRD, Toulouse INP, Université Toulouse 3-Paul Sabatier (UT3), Toulouse, France.ORCID http://orcid.org/0000-0001-7609-7898
Mait MetspaluEstonian Biocentre, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.ORCID http://orcid.org/0000-0003-3099-9161
Anders ErikssonCentre for Genomics, Evolution & Medicine, Institute of Genomics, University of Tartu, Tartu, Tartumaa, Estonia.ORCID http://orcid.org/0000-0003-3436-3726

Funding

Agence Nationale de la Recherche (French National Research Agency) ANR-20-CE12-0003-01EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) 2014-2020.4.01.16-0030EC | European Regional Development Fund (Europski Fond za Regionalni Razvoj) MOBEC008Eesti Teadusagentuur (Estonian Research Council) PRG1899Eesti Teadusagentuur (Estonian Research Council) PUTJD1186Eesti Teadusagentuur (Estonian Research Council) TK214
6 · The paper itself

Abstract

The demographic history of the Papua New Guinean (PNG) population is a subject of interest due to its early settlement in New Guinea, its relative isolation and substantial Denisovan ancestry. Previous research suggested an admixture with an early diverged out of African population. This study re-examines the PNG population using newly published samples. Our findings demonstrate that the observed shifts in Relative Cross Coalescent Rate (RCCR) curves are driven by strong bottleneck and slower population growth rate of the PNG population, rather than the contributions from an earlier out of Africa population. Although a small contribution from the early out of Africa population cannot be ruled out, it is no longer needed to explain the observed results. Our analysis positions them as a sister group to other East Asian populations. This study provides insights on the PNG population and highlights the impact of population-specific demography on interpreting RCCR curves.

Indexed as

Black PeopleGenetics, PopulationNeural Networks, ComputerAfricaHumansPapua New Guinea

Identifiers

PMID40634355
PMCPMC12241555

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.