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Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse

This study was conducted to estimate the effective population size using SNPs data of 240 Jeju horses that had raced at the Jeju racing park. Of the total 61,746 genotyped autosomal SNPs, 17,320 (28.1%) SNPs (missing genotype rate of >10%, minor allele frequency of <0.05 and Hardy–Weinberg equ...

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Autores principales: Do, Kyoung-Tag, Lee, Joon-Ho, Lee, Hak-Kyo, Kim, Jun, Park, Kyung-Do
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540288/
https://www.ncbi.nlm.nih.gov/pubmed/26290717
http://dx.doi.org/10.1186/2055-0391-56-28
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author Do, Kyoung-Tag
Lee, Joon-Ho
Lee, Hak-Kyo
Kim, Jun
Park, Kyung-Do
author_facet Do, Kyoung-Tag
Lee, Joon-Ho
Lee, Hak-Kyo
Kim, Jun
Park, Kyung-Do
author_sort Do, Kyoung-Tag
collection PubMed
description This study was conducted to estimate the effective population size using SNPs data of 240 Jeju horses that had raced at the Jeju racing park. Of the total 61,746 genotyped autosomal SNPs, 17,320 (28.1%) SNPs (missing genotype rate of >10%, minor allele frequency of <0.05 and Hardy–Weinberg equilibrium test P-value of <10(–6)) were excluded after quality control processes. SNPs on the X and Y chromosomes and genotyped individuals with missing genotype rate over 10% were also excluded, and finally, 44,426 (71.9%) SNPs were selected and used for the analysis. The measures of the LD, square of correlation coefficient (r(2)) between SNP pairs, were calculated for each allele and the effective population size was determined based on r(2) measures. The polymorphism information contents (PIC) and expected heterozygosity (HE) were 0.27 and 0.34, respectively. In LD, the most rapid decline was observed over the first 1 Mb. But r(2) decreased more slowly with increasing distance and was constant after 2 Mb of distance and the decline was almost linear with log-transformed distance. The average r(2) between adjacent SNP pairs ranged from 0.20 to 0.31 in each chromosome and whole average was 0.26, while the whole average r(2) between all SNP pairs was 0.02. We observed an initial pattern of decreasing N(e) and estimated values were closer to 41 at 1 ~ 5 generations ago. The effective population size (41 heads) estimated in this study seems to be large considering Jeju horse’s population size (about 2,000 heads), but it should be interpreted with caution because of the technical limitations of the methods and sample size.
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spelling pubmed-45402882015-08-19 Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse Do, Kyoung-Tag Lee, Joon-Ho Lee, Hak-Kyo Kim, Jun Park, Kyung-Do J Anim Sci Technol Research This study was conducted to estimate the effective population size using SNPs data of 240 Jeju horses that had raced at the Jeju racing park. Of the total 61,746 genotyped autosomal SNPs, 17,320 (28.1%) SNPs (missing genotype rate of >10%, minor allele frequency of <0.05 and Hardy–Weinberg equilibrium test P-value of <10(–6)) were excluded after quality control processes. SNPs on the X and Y chromosomes and genotyped individuals with missing genotype rate over 10% were also excluded, and finally, 44,426 (71.9%) SNPs were selected and used for the analysis. The measures of the LD, square of correlation coefficient (r(2)) between SNP pairs, were calculated for each allele and the effective population size was determined based on r(2) measures. The polymorphism information contents (PIC) and expected heterozygosity (HE) were 0.27 and 0.34, respectively. In LD, the most rapid decline was observed over the first 1 Mb. But r(2) decreased more slowly with increasing distance and was constant after 2 Mb of distance and the decline was almost linear with log-transformed distance. The average r(2) between adjacent SNP pairs ranged from 0.20 to 0.31 in each chromosome and whole average was 0.26, while the whole average r(2) between all SNP pairs was 0.02. We observed an initial pattern of decreasing N(e) and estimated values were closer to 41 at 1 ~ 5 generations ago. The effective population size (41 heads) estimated in this study seems to be large considering Jeju horse’s population size (about 2,000 heads), but it should be interpreted with caution because of the technical limitations of the methods and sample size. BioMed Central 2014-12-05 /pmc/articles/PMC4540288/ /pubmed/26290717 http://dx.doi.org/10.1186/2055-0391-56-28 Text en © Do et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Do, Kyoung-Tag
Lee, Joon-Ho
Lee, Hak-Kyo
Kim, Jun
Park, Kyung-Do
Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title_full Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title_fullStr Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title_full_unstemmed Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title_short Estimation of effective population size using single-nucleotide polymorphism (SNP) data in Jeju horse
title_sort estimation of effective population size using single-nucleotide polymorphism (snp) data in jeju horse
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4540288/
https://www.ncbi.nlm.nih.gov/pubmed/26290717
http://dx.doi.org/10.1186/2055-0391-56-28
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