ArticleMolecular ecology resources2025
High Imputation Accuracy Can Be Achieved Using a Small Reference Panel in a Natural Population With Low Genetic Diversity.
Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Imputation in the Wild: Genome-Wide Robustness and Fine-Scale Limitations of Low-Coverage Genomes in Endangered Species.Molecular ecology resources · 2026Article
- Genome-Wide Homozygosity Predicts Inbreeding Depression in the Hihi/Stitchbird (Evolutionary applications · 2026Article
- Benchmarking imputation accuracy in the presence or absence of a reference panel.Molecular biology and evolution · 2026Article
- Assessing Genotype Imputation Methods for Low-Coverage Sequencing Data in Populations With Differing Relatedness and Inbreeding Levels.Molecular ecology resources · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Genotype imputation, the inference of missing genotypes using a reference set of population haplotypes, is a cost-effective tool for improving the quality and quantity of genetic datasets. Imputation is usually applied to large and well-characterised datasets of humans and livestock, even though it could also benefit smaller natural populations. This study aims to understand the best practices and effectiveness of imputation with a small reference panel for species with low genetic diversity, using a case study of a population of the hihi/stitchbird (Notiomystis cincta). We used a leave-one-out method to test imputation on 30 high-coverage hihi individuals where SNPs were masked before being imputed with Beagle v5.4. Imputation accuracy was measured using r
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Registered trials
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