Evidence map›Paper›PMID 39934833›Full record

ArticleGenome biology2025

PANE: fast and reliable ancestral reconstruction on ancient genotype data with non-negative least square and principal component analysis.

Luciana de Gennaro, Ludovica Molinaro, Alessandro Raveane, Federica Santonastaso, Sandro Sublimi Saponetti, Michela Carlotta Massi, Luca Pagani, Mait Metspalu, Garrett Hellenthal, Toomas Kivisild and 2 more

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Article in Genome biology, 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Luciana de GennaroDepartment of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy. luciana.degennaro@uniba.it.
Ludovica MolinaroDepartment of Human Genetics, KU Leuven, Leuven, Belgium. ludovica.molinaro@kuleuven.be.
Alessandro RaveaneHuman Technopole, Milan, Italy.
Federica SantonastasoHuman Technopole, Milan, Italy.
Sandro Sublimi SaponettiDepartment of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy.
Michela Carlotta MassiHuman Technopole, Milan, Italy.
Luca PaganiDepartment of Biology, University of Padova, Padua, Italy.
Mait MetspaluInstitute of Genomics, University of Tartu, Tartu, Estonia.
Garrett HellenthalDepartment of Genetics, Evolution & Environment, University College of London, London, UK.
Toomas KivisildDepartment of Human Genetics, KU Leuven, Leuven, Belgium.
Mario VenturaDepartment of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy. mario.ventura@uniba.it.
Francesco MontinaroDepartment of Biosciences, Biotechnology and Environment, University of Bari, Bari, Italy. francesco.montinaro@gmail.com.

Funding

Fondazione con il Sud 2018-PDR-01136FWO G0A4521NItalian Ministry of University and Research 2022E8NN2NItalian Ministry of University and Research 2022P2ZESRItalian Ministry of University and Research PRIN 2022B27XYMKU Leuven BOF-C24 ZKD6488 C24M/19/075Ministry of University and Research (MUR), National Recovery and Resilience Plan (NRRP), project MNESYS (PE0000006) - A Multiscale integrated approach to the study of the nervous system in health and disease DN. 1553 11.10.2022Wellcome TrustWellcome Trust 224575/Z/21/Z
6 · The paper itself

Abstract

The history of human populations has been strongly shaped by admixture events, contributing to patterns of observed genetic diversity across populations. In this study, we introduce the Principal component Ancestry proportions using NNLS Estimation (PANE) method that leverages principal component analysis and non-negative least squares to assess the ancestral compositions of admixed individuals given a large set of populations. Our results show its ability to reliably estimate ancestry across several scenarios, even those with a significant proportion of missing genotypes, in a fraction of the time required when using other tools.

Indexed as

Genetics, PopulationGenotypeGenetic VariationHumansLeast-Squares AnalysisPrincipal Component Analysis

Identifiers

PMID39934833
PMCPMC11818073

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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.