Accurate estimation of effective population size in the korean dairy cattle based on linkage disequilibrium corrected by genomic relationship matrix
Linkage disequilibrium between markers or genetic variants underlying interesting traits affects many genomic methodologies. In many genomic methodologies, the effective population size (Ne) is important to assess the genetic diversity of animal populations. In this study, dairy cattle were genotype...
| Veröffentlicht in: | Asian-Australasian journal of animal sciences. - 1998. - 26(2013), 12 vom: 24. Dez., Seite 1672-9 |
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| Weitere Verfasser: | , , , |
| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2013
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| Zugriff auf das übergeordnete Werk: | Asian-Australasian journal of animal sciences |
| Schlagworte: | Journal Article Dairy Cattle Effective Population Size Linkage Disequilibrium SNP |
| Zusammenfassung: | Linkage disequilibrium between markers or genetic variants underlying interesting traits affects many genomic methodologies. In many genomic methodologies, the effective population size (Ne) is important to assess the genetic diversity of animal populations. In this study, dairy cattle were genotyped using the Illumina BovineHD Genotyping BeadChips for over 777,000 SNPs located across all autosomes, mitochondria and sex chromosomes, and 70,000 autosomal SNPs were selected randomly for the final analysis. We characterized more accurate linkage disequilibrium in a sample of 96 dairy cattle producing milk in Korea. Estimated linkage disequilibrium was relatively high between closely linked markers (>0.6 at 10 kb) and decreased with increasing distance. Using formulae that related the expected linkage disequilibrium to Ne, and assuming a constant actual population size, Ne was estimated to be approximately 122 in this population. Historical Ne, calculated assuming linear population growth, was suggestive of a rapid increase Ne over the past 10 generations, and increased slowly thereafter. Additionally, we corrected the genomic relationship structure per chromosome in calculating r(2) and estimated Ne. The observed Ne based on r(2) corrected by genomics relationship structure can be rationalized using current knowledge of the history of the dairy cattle breeds producing milk in Korea |
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| Beschreibung: | Date Completed 22.07.2014 Date Revised 18.03.2022 published: Print Citation Status PubMed-not-MEDLINE |
| ISSN: | 1011-2367 |
| DOI: | 10.5713/ajas.2013.13320 |