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Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

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Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. / Gredler-Grandl, Birgit; Raymond, B.; Schopen, G.C.B. et al.
WCGALP 2022 Programme book. Wageningen Academic Publishers, 2022.

Research output: Contribution to book/anthology/report/proceeding › Article in proceedings › Research › peer-review

Harvard

Gredler-Grandl, B, Raymond, B, Schopen, GCB, Chitneedi, PK, Cai, Z , Manzanilla Pech, CIV, Iso-Touru, T, Fischer, D, Bolormaa, S, Chud, TCS, Schenkel, FS, Wang, Y, Li, C, Hailemariam, D, Villanueva, B, Fernandez, A, Kuehn, C, Sahana, G, Lidauer, M, Pryce, JE, González-Recio, O, Plastow, G, Baes, CF, Charfeddine, N, de Haas, Y, Veerkamp, R & Bouwman, AC 2022, Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. in WCGALP 2022 Programme book. Wageningen Academic Publishers, World Congress on Genetics Applied to Livestock Production, Rotterdam, Netherlands, 03/07/2022. <https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.pdf>

APA

Gredler-Grandl, B., Raymond, B., Schopen, G. C. B., Chitneedi, P. K., Cai, Z., Manzanilla Pech, C. I. V., Iso-Touru, T., Fischer, D., Bolormaa, S., Chud, T. C. S., Schenkel, F. S., Wang, Y., Li, C., Hailemariam, D., Villanueva, B., Fernandez, A., Kuehn, C., Sahana, G., Lidauer, M., ... Bouwman, A. C. (2022). Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. In WCGALP 2022 Programme book Wageningen Academic Publishers. https://www.wageningenacademic.com/pb-assets/wagen/WCGALP2022/02_010.pdf

CBE

Gredler-Grandl B, Raymond B, Schopen GCB, Chitneedi PK, Cai Z , Manzanilla Pech CIV, Iso-Touru T, Fischer D, Bolormaa S, Chud TCS, et al. 2022. Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. In WCGALP 2022 Programme book. Wageningen Academic Publishers.

MLA

Gredler-Grandl, Birgit et al. "Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses". WCGALP 2022 Programme book. Wageningen Academic Publishers. 2022.

Vancouver

Gredler-Grandl B, Raymond B, Schopen GCB, Chitneedi PK, Cai Z , Manzanilla Pech CIV et al. Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. In WCGALP 2022 Programme book. Wageningen Academic Publishers. 2022

Author

Gredler-Grandl, Birgit ; Raymond, B. ; Schopen, G.C.B. et al. / Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses. WCGALP 2022 Programme book. Wageningen Academic Publishers, 2022.

Bibtex

@inproceedings{58132a74b5d9414db1fa4c87858508d0,

title = "Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses",

abstract = "We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows. Sequence variants were selected from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations. Selected variants were prioritized in GBLUP models in a five-fold crossvalidation. The accuracies were compared to genomic prediction based on routine 50k genotype data. The average accuracy for the 50k scenario was 0.683. Adding selected sequence variants in the GBLUP model did not improve the accuracies for dry matter intake. Next steps willinclude testing Bayesian variable selection methods to prioritize variants in genomic prediction for dry matter intake. ",

author = "Birgit Gredler-Grandl and B. Raymond and G.C.B. Schopen and P.K. Chitneedi and Zexi Cai and {Manzanilla Pech}, {Coralia Ines V} and Terhi Iso-Touru and Daniel Fischer and Sunduimijid Bolormaa and Chud, {Tatiane C.S.} and Schenkel, {F S} and Yabing Wang and Changxi Li and Dagnachew Hailemariam and B. Villanueva and A. Fernandez and C Kuehn and Goutam Sahana and M Lidauer and J.E. Pryce and Oscar Gonz{\'a}lez-Recio and Graham Plastow and Baes, {Christine F.} and Noureddine Charfeddine and {de Haas}, Y and Roel Veerkamp and Bouwman, {Aniek C}",

year = "2022",

month = jul,

language = "English",

booktitle = "WCGALP 2022 Programme book",

publisher = "Wageningen Academic Publishers",

note = "World Congress on Genetics Applied to Livestock Production ; Conference date: 03-07-2022 Through 08-07-2022",

url = "https://wcgalp.com/",

}

RIS

TY - GEN

T1 - Accuracy of genomic prediction of dry matter intake in Dutch Holsteins using sequence variants from meta-analyses

AU - Gredler-Grandl, Birgit

AU - Raymond, B.

AU - Schopen, G.C.B.

AU - Chitneedi, P.K.

AU - Cai, Zexi

AU - Manzanilla Pech, Coralia Ines V

AU - Iso-Touru, Terhi

AU - Fischer, Daniel

AU - Bolormaa, Sunduimijid

AU - Chud, Tatiane C.S.

AU - Schenkel, F S

AU - Wang, Yabing

AU - Li, Changxi

AU - Hailemariam, Dagnachew

AU - Villanueva, B.

AU - Fernandez, A.

AU - Kuehn, C

AU - Sahana, Goutam

AU - Lidauer, M

AU - Pryce, J.E.

AU - González-Recio, Oscar

AU - Plastow, Graham

AU - Baes, Christine F.

AU - Charfeddine, Noureddine

AU - de Haas, Y

AU - Veerkamp, Roel

AU - Bouwman, Aniek C

N1 - Conference code: 12

PY - 2022/7

Y1 - 2022/7

N2 - We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows. Sequence variants were selected from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations. Selected variants were prioritized in GBLUP models in a five-fold crossvalidation. The accuracies were compared to genomic prediction based on routine 50k genotype data. The average accuracy for the 50k scenario was 0.683. Adding selected sequence variants in the GBLUP model did not improve the accuracies for dry matter intake. Next steps willinclude testing Bayesian variable selection methods to prioritize variants in genomic prediction for dry matter intake.

AB - We evaluated the accuracy of biology informed genomic prediction for dry matter intake in 2,162 Dutch Holstein cows. Sequence variants were selected from meta-analyses including GWAS summary statistics for QTL and metabolomic QTL in several dairy and crossbred beef populations. Selected variants were prioritized in GBLUP models in a five-fold crossvalidation. The accuracies were compared to genomic prediction based on routine 50k genotype data. The average accuracy for the 50k scenario was 0.683. Adding selected sequence variants in the GBLUP model did not improve the accuracies for dry matter intake. Next steps willinclude testing Bayesian variable selection methods to prioritize variants in genomic prediction for dry matter intake.

M3 - Article in proceedings

BT - WCGALP 2022 Programme book

PB - Wageningen Academic Publishers

T2 - World Congress on Genetics Applied to Livestock Production

Y2 - 3 July 2022 through 8 July 2022

ER -