Evidence map›Paper›PMID 42504530›Full record

ArticleMolecular ecology resources2026

Imputation in the Wild: Genome-Wide Robustness and Fine-Scale Limitations of Low-Coverage Genomes in Endangered Species.

Lucía Mayor-Fidalgo, Enrico Bazzicalupo, Laia Pérez-Sorribes, Laura Soriano, José A Godoy

Abstract read
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Lucía Mayor-FidalgoDepartamento de Ecología y Evolución, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain.ORCID https://orcid.org/0009-0005-4577-4784
Enrico BazzicalupoDepartamento de Ecología y Evolución, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain.ORCID https://orcid.org/0000-0003-2394-6280
Laia Pérez-SorribesDepartamento de Ecología y Evolución, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain.ORCID https://orcid.org/0000-0003-1232-0880
Laura SorianoDepartamento de Ecología y Evolución, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain.ORCID https://orcid.org/0000-0002-0095-5996
José A GodoyDepartamento de Ecología y Evolución, Estación Biológica de Doñana, Consejo Superior de Investigaciones Científicas, Sevilla, Spain.ORCID https://orcid.org/0000-0001-7502-9471

Funding

Dirección General de Investigación Científica y Técnica PID2021123358OBI00Ministerio de Ciencia e Innovación PRE2018-083223Ministerio de Ciencia e Innovación PRE2022-105110Ministerio de Universidades FPU21/02418
6 · The paper itself

Abstract

Low-coverage whole-genome sequencing (lcWGS) combined with genotype imputation is increasingly being used to generate large genomic datasets at reduced cost, offering a promising alternative for conservation genomics. Here, we use the Iberian lynx (Lynx pardinus), a species with extremely low genetic diversity, genetically differentiated populations, and recent admixture, as a case study to evaluate the performance of imputed lcWGS data for population genomic inferences. We performed a leave-one-out imputation approach with 50 individuals sequenced to high coverage to assess imputation accuracy under different reference panel compositions, sequencing depths, and imputation strategies. We then compared inbreeding, admixture, and demographic history inferences derived from high-coverage and imputed datasets under highly concordant imputation scenarios (r

Indexed as

Endangered SpeciesGenetics, PopulationLynxWhole Genome SequencingAnimalsGenetic Variationdemographic historygenotype imputationinbreedinglocal ancestry inferencelow‐coverage whole‐genome sequencing

Identifiers

PMID42504530
PMCPMC13402980

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.