A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data

H J Kim; S de las Heras-Saldana; S Clark; J H J van der Werf

doi:10.3920/978-90-8686-940-4_637

A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Signature of selection in livestock is a method used to identify genomic regions and candidate genes related to economic traits when phenotypic information is unknown. This study used 406 beef cattle (203 Hanwoo and 203 Angus) with a whole-genome sequence to find selection signatures. As a result, we identified 298 significant genomic regions within Hanwoo, including the candidate genes such as LPL related to the lipid metabolism and 33 genomic regions within Angus with HK1 and ACTC1 genes linked with glucose metabolism and muscle formation. From the between populations results, 36 significant genomic regions were detected, including the CCKBR gene associated with the feed efficiency. This study can assist in understanding the history of these breeds and identifying the genomic regions under selection for breeding programs in beef cattle.

Original language	English
Title of host publication	Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP)
Editors	R F Veerkamp, Y de Haas
Place of Publication	Wageningen, Netherlands
Publisher	Wageningen Academic
Pages	2632-2635
Volume	12
ISBN (Print)	9789086869404
DOIs	https://doi.org/10.3920/978-90-8686-940-4_637
Publication status	Published - 31 Dec 2022
Event	WCGALP 2022: 12th World Congress on Genetics Applied to Livestock Production - De Doelen International Conference Center Rotterdam, Rotterdam, Netherlands Duration: 3 Jul 2022 → 8 Jul 2022

Conference

Conference	WCGALP 2022: 12th World Congress on Genetics Applied to Livestock Production
City	Rotterdam, Netherlands
Period	3/07/22 → 8/07/22

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https://hdl.handle.net/1959.11/53792

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Kim, H. J., de las Heras-Saldana, S., Clark, S., & van der Werf, J. H. J. (2022). A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data. In R. F. Veerkamp, & Y. D. Haas (Eds.), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP) (Vol. 12, pp. 2632-2635). Article 637 Wageningen Academic. https://doi.org/10.3920/978-90-8686-940-4_637

Kim, H J ; de las Heras-Saldana, S ; Clark, S et al. / A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data. Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP). editor / R F Veerkamp ; Y de Haas. Vol. 12 Wageningen, Netherlands : Wageningen Academic, 2022. pp. 2632-2635

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abstract = "Signature of selection in livestock is a method used to identify genomic regions and candidate genes related to economic traits when phenotypic information is unknown. This study used 406 beef cattle (203 Hanwoo and 203 Angus) with a whole-genome sequence to find selection signatures. As a result, we identified 298 significant genomic regions within Hanwoo, including the candidate genes such as LPL related to the lipid metabolism and 33 genomic regions within Angus with HK1 and ACTC1 genes linked with glucose metabolism and muscle formation. From the between populations results, 36 significant genomic regions were detected, including the CCKBR gene associated with the feed efficiency. This study can assist in understanding the history of these breeds and identifying the genomic regions under selection for breeding programs in beef cattle. ",

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Kim, HJ, de las Heras-Saldana, S, Clark, S & van der Werf, JHJ 2022, A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data. in RF Veerkamp & YD Haas (eds), Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP). vol. 12, 637, Wageningen Academic, Wageningen, Netherlands, pp. 2632-2635, WCGALP 2022: 12th World Congress on Genetics Applied to Livestock Production, Rotterdam, Netherlands, 3/07/22. https://doi.org/10.3920/978-90-8686-940-4_637

A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data. / Kim, H J; de las Heras-Saldana, S; Clark, S et al.
Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP). ed. / R F Veerkamp; Y de Haas. Vol. 12 Wageningen, Netherlands: Wageningen Academic, 2022. p. 2632-2635 637.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - Signature of selection in livestock is a method used to identify genomic regions and candidate genes related to economic traits when phenotypic information is unknown. This study used 406 beef cattle (203 Hanwoo and 203 Angus) with a whole-genome sequence to find selection signatures. As a result, we identified 298 significant genomic regions within Hanwoo, including the candidate genes such as LPL related to the lipid metabolism and 33 genomic regions within Angus with HK1 and ACTC1 genes linked with glucose metabolism and muscle formation. From the between populations results, 36 significant genomic regions were detected, including the CCKBR gene associated with the feed efficiency. This study can assist in understanding the history of these breeds and identifying the genomic regions under selection for breeding programs in beef cattle.

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Kim HJ, de las Heras-Saldana S, Clark S, van der Werf JHJ. A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data. In Veerkamp RF, Haas YD, editors, Proceedings of 12th World Congress on Genetics Applied to Livestock Production (WCGALP). Vol. 12. Wageningen, Netherlands: Wageningen Academic. 2022. p. 2632-2635. 637 doi: 10.3920/978-90-8686-940-4_637

A genome-wide association study (GWAS) for carcass traits in Hanwoo cattle using imputed whole genome sequence data

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