Genomic prediction for parasite resistance in sheep using whole-genome sequence data

M Al Kalaldeh; N Duijvesteijn; N Moghaddar; J Gibson; J H J van der Werf

Genomic prediction for parasite resistance in sheep using whole-genome sequence data

M Al Kalaldeh
, N Duijvesteijn
, N Moghaddar
, J Gibson
, J H J van der Werf

Research output: Contribution to journal › Conference article › peer-review

Abstract

Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel.

Original language	English
Article number	794
Pages (from-to)	1-9
Journal	Proceedings of the World Congress on Genetics Applied to Livestock Production
Volume	11
Publication status	Published - 2018
Event	WCGALP 2018: 11th World Congress on Genetics Applied to Livestock Production - Aotea Convention Centre, Auckland, New Zealand Duration: 7 Feb 2018 → 16 Feb 2018

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Al Kalaldeh, M., Duijvesteijn, N., Moghaddar, N., Gibson, J., & van der Werf, J. H. J. (2018). Genomic prediction for parasite resistance in sheep using whole-genome sequence data. Proceedings of the World Congress on Genetics Applied to Livestock Production, 11, 1-9. Article 794. http://www.wcgalp.org/proceedings/2018/genomic-prediction-parasite-resistance-sheep-using-whole-genome-sequence-data

@article{39966c8267bf443a97d1524232dce60d,

title = "Genomic prediction for parasite resistance in sheep using whole-genome sequence data",

abstract = "Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel.",

author = "\{Al Kalaldeh\}, M and N Duijvesteijn and N Moghaddar and J Gibson and \{van der Werf\}, \{J H J\}",

year = "2018",

language = "English",

volume = "11",

pages = "1--9",

journal = "Proceedings of the World Congress on Genetics Applied to Livestock Production",

publisher = "Massey University",

note = "WCGALP 2018: 11th World Congress on Genetics Applied to Livestock Production ; Conference date: 07-02-2018 Through 16-02-2018",

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Al Kalaldeh, M, Duijvesteijn, N, Moghaddar, N, Gibson, J & van der Werf, JHJ 2018, 'Genomic prediction for parasite resistance in sheep using whole-genome sequence data', Proceedings of the World Congress on Genetics Applied to Livestock Production, vol. 11, 794, pp. 1-9. <http://www.wcgalp.org/proceedings/2018/genomic-prediction-parasite-resistance-sheep-using-whole-genome-sequence-data>

TY - JOUR

T1 - Genomic prediction for parasite resistance in sheep using whole-genome sequence data

AU - Al Kalaldeh, M

AU - Duijvesteijn, N

AU - Moghaddar, N

AU - Gibson, J

AU - van der Werf, J H J

PY - 2018

Y1 - 2018

N2 - Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel.

AB - Genomic prediction for parasite resistance in sheep using whole-genome sequence data The objective of the study is to compare QTL mapping precision and the accuracy of genomic prediction for parasite resistance in sheep using pre-selected variants identified from the high-density SNP panel (600k) and the imputed whole-genome sequence (WGS) data and to evaluate the prediction accuracy when using selected SNPs. The results of this paper show that the use of WGS variants located within or close to QTL regions can improve the prediction accuracy of parasite resistance compared to using variants selected from the high-density SNP panel.

UR - http://www.wcgalp.org/proceedings/2018

M3 - Conference article

VL - 11

SP - 1

EP - 9

JO - Proceedings of the World Congress on Genetics Applied to Livestock Production

JF - Proceedings of the World Congress on Genetics Applied to Livestock Production

M1 - 794

T2 - WCGALP 2018: 11th World Congress on Genetics Applied to Livestock Production

Y2 - 7 February 2018 through 16 February 2018

ER -

Genomic prediction for parasite resistance in sheep using whole-genome sequence data

Abstract

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