Development and Characterization of a Single Nucleotide Polymorphism Genotyping Panel for Duck Populations

Single nucleotide polymorphism (SNP) genotyping panels for domesticated ducks are currently lacking, despite their importance for genetic diversity studies and genomic selection. We analyzed whole-genome sequencing data from 74 ducks. To obtain a 40K SNP marker set, we performed SNP calling and applied minor allele frequency (MAF) and linkage disequilibrium (LD) criteria. SNPs from 33 genes associated with Quantitative Trait Loci (QTL) were manually selected and added to the panel. The performance of the resulting SNP panel was validated using genotyping data from 28 additional duck samples. We developed a 40K SNP genotyping panel for ducks. Applying criteria of call rate, MAF, and LD, 37,386 SNP markers were selected. After excluding SNPs near repeats and indels, and incorporating 591 SNPs from 33 duck QTL-associated genes, the final set consisted of 35,613 SNP markers. When evaluating the performance of the SNP panel, genotypes were successfully called for 35,209 out of 35,613 SNPs, achieving a call rate of 98.9%. After applying QC filters, 33,870 SNPs were confirmed to be usable. Our SNP panel design process successfully generated a dataset at a 40K scale without compromising the genetic distances of the whole genome. By minimizing variation at the SNP probe alignment sites, we achieved a high call rate. The panel demonstrated reasonable robustness and suitability for further genomic studies, making it a valuable tool for genetic improvement and trait selection in duck populations.

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Publication Details

Journal
Animals
Published
2026-06-28
DOI
https://doi.org/10.3390/ani16131995
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Development and Characterization of a Single Nucleotide Polymorphism Genotyping Panel for Duck Populations

Jun Heon Lee, Jae‐Joong Kim, Jung-Woo Choi, Yeongkuk Kim et al.
Animals
Genetic and phenotypic traits in livestock
article

Development and Characterization of a Single Nucleotide Polymorphism Genotyping Panel for Duck Populations

Jun Heon Lee, Jae‐Joong Kim, Jung-Woo Choi, Yeongkuk Kim, Minjun Kim, Eunjin Cho, Won‐Hyong Chung, Hyojun Choo, Seona Kwon, Dongwon Seo
article en

Abstract

Single nucleotide polymorphism (SNP) genotyping panels for domesticated ducks are currently lacking, despite their importance for genetic diversity studies and genomic selection. We analyzed whole-genome sequencing data from 74 ducks. To obtain a 40K SNP marker set, we performed SNP calling and applied minor allele frequency (MAF) and linkage disequilibrium (LD) criteria. SNPs from 33 genes associated with Quantitative Trait Loci (QTL) were manually selected and added to the panel. The performance of the resulting SNP panel was validated using genotyping data from 28 additional duck samples. We developed a 40K SNP genotyping panel for ducks. Applying criteria of call rate, MAF, and LD, 37,386 SNP markers were selected. After excluding SNPs near repeats and indels, and incorporating 591 SNPs from 33 duck QTL-associated genes, the final set consisted of 35,613 SNP markers. When evaluating the performance of the SNP panel, genotypes were successfully called for 35,209 out of 35,613 SNPs, achieving a call rate of 98.9%. After applying QC filters, 33,870 SNPs were confirmed to be usable. Our SNP panel design process successfully generated a dataset at a 40K scale without compromising the genetic distances of the whole genome. By minimizing variation at the SNP probe alignment sites, we achieved a high call rate. The panel demonstrated reasonable robustness and suitability for further genomic studies, making it a valuable tool for genetic improvement and trait selection in duck populations.

AnimalsVol. 16(13)
Korea Atomic Energy Research Institute (KR), Kangwon National University (KR), Chungnam National University (KR), Rural Development Administration (KR), National Institute of Animal Science (KR), Anyang University (KR)
Kangwon National University, Rural Development Administration, Ministry of Science and ICT, South Korea, National Institute of Animal Science, Institute for Information and Communications Technology Promotion, Division of Human Resource Development
Openalex Percentile: Top 7%
Genetic and phenotypic traits in livestock
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