Comparison between SNP array and imputed data to estimate population structure and ROH hotspots in horse breeds

High correlations between SNP array and imputed data indicate that imputed genotypes provide a reliable alternative for assessing population structure and genetic diversity in horse breeds. Specifically, imputation can enhance the detection of ROH and the annotation of genes within ROH islands, with the reliability of these results depending on the quality of the reference panel and its representation of the studied breeds, among others.

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Publication Details

Journal
BMC Genomics
Published
2025-11-29
DOI
https://doi.org/10.1186/s12864-025-12256-8
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
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article

Comparison between SNP array and imputed data to estimate population structure and ROH hotspots in horse breeds

Serena Tumino, Donata Marletta, Paula Reich, Andrea Criscione et al.
BMC Genomics
Genetic and phenotypic traits in livestock
article

Comparison between SNP array and imputed data to estimate population structure and ROH hotspots in horse breeds

Serena Tumino, Donata Marletta, Paula Reich, Andrea Criscione, Giorgio Chessari, Salvatore Bordonaro, Salvatore Mastrangelo, Jens Tetens, Clemens Falker‐Gieske
article en

Abstract

High correlations between SNP array and imputed data indicate that imputed genotypes provide a reliable alternative for assessing population structure and genetic diversity in horse breeds. Specifically, imputation can enhance the detection of ROH and the annotation of genes within ROH islands, with the reliability of these results depending on the quality of the reference panel and its representation of the studied breeds, among others.

BMC GenomicsVol. 26(1)
University of Catania (IT), University of Göttingen (DE), University of Palermo (IT)
Openalex Percentile: Top 61%
Genetic and phenotypic traits in livestock
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Comparison between SNP array and imputed data to estimate population structure and ROH hotspots in horse breeds — Serena Tumino, Donata Marletta, et al. · BMC Genomics (2025) | TGRS Research Map | TGRS