Center for Kvantitativ Genetik og Genomforskning

Aarhus Universitets segl

Publikationer

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Sørensen, I. F., Edwards, S. M., Rohde, P. D. & Sørensen, P. (2017). Multiple Trait Covariance Association Test Identifies Gene Ontology Categories Associated with Chill Coma Recovery Time in Drosophila melanogaster /631/208/721 /631/208/721 /631/208/729/743 /631/208/729/743 /119 /45 /45/43 article. Scientific Reports, 7(1), Artikel 2413. https://doi.org/10.1038/s41598-017-02281-3
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2017). Multi-population GWAS for the de novo synthesis of milk fatty acids. Poster-session præsenteret på 5th Annual GenSAP Meeting, 15-16 November 2017, Billund, Danmark.
Thomasen, J. R., Liu, H. & Sørensen, A. C. (2017). Pedigree inbreeding underestimate true inbreeding in genomic dairy cattle breeding schemes. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.
Esfandyari, H., Henryon, M., Berg, P., Thomasen, J. R., Bjima, P. & Sørensen, A. C. (2017). Response to selection in finite locus models with non-additive effects. Journal of Heredity, 108(3), 318-327. https://doi.org/10.1093/jhered/esw123
Xiang, T., Christensen, O. F. & Legarra, A. (2017). Technical note: Genomic evaluation for crossbred performance in a single-step approach with metafounders. Journal of Animal Science, 95(4), 1472-1480. https://doi.org/10.2527/jas2016.1155
Cai, Z., Petersen, B., Sahana, G., Madsen, L. B., Larsen, K., Thomsen, B., Bendixen, C., Lund, M. S., Guldbrandtsen, B. & Panitz, F. (2017). The first draft reference genome of the American mink (Neovison vison). Scientific Reports, 7(1), Artikel 14564. https://doi.org/10.1038/s41598-017-15169-z
Li, X., Lund, M. S., Janss, L., Wang, C., Ding, X., Zhang, Q. & Su, G. (2017). The patterns of genomic variances and covariances across genome for milk production traits between Chinese and Nordic Holstein populations. BMC Genetics, 18, Artikel 26. https://doi.org/10.1186/s12863-017-0491-9
Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds. BMC Genomics, 18(1), 604. Artikel 604. https://doi.org/10.1186/s12864-017-4004-z
Liu, A., Lund, M. S., Wang, Y., Guo, G., Dong, G., Madsen, P. & Su, G. (2017). Variance components and correlations of female fertility traits in Chinese Holstein population. Journal of Animal Science and Biotechnology, 8(1), Artikel 56. https://doi.org/10.1186/s40104-017-0189-x
Esfandyari, H. & Sørensen, A. C. (2017). xbreed: an R package for genomic simulation of purebreds and crossbreds. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland.
Sahana, G., Iso-Touru, T., Wu, X., Nielsen, U., de Koning, D.-J., Lund, M. S., Vilkki, J. & Guldbrandtsen, B. (2016). A 0.5-Mbp deletion on bovine chromosome 23 is a strong candidate for stillbirth in Nordic Red cattle. Genetics Selection Evolution, 48(1), Artikel 35. https://doi.org/10.1186/s12711-016-0215-z
Rohde, P. D., Krag, K., Loeschcke, V., Overgaard, J., Sørensen, P. & Kristensen, T. N. (2016). A Quantitative Genomic Approach for Analysis of Fitness and Stress Related Traits in a Drosophila melanogaster Model Population. International Journal of Genomics, 2016, 1-11. Artikel 2157494. https://doi.org/10.1155/2016/2157494
Michot, P., Chahory, S., Marete, A. G., Grohs, C., Dagios, D., Donzel, E., Aboukadiri, A., Deloche, M.-C., Allais-Bonnet, A., Chambrial, M., Barbey, S., Genestout, L., Boussaha, M., Danchin-Burge, C., Fritz, S., Boichard, D. & Capitan, A. (2016). A reverse genetic approach identifies an ancestral frameshift mutation in RP1 causing recessive progressive retinal degeneration in European cattle breeds. Genetics Selection Evolution, 48. https://doi.org/10.1186/s12711-016-0232-y
van den Berg, I., Boichard, D. & Lund, M. S. (2016). Comparing power and precision of within-breed and multibreed genome-wide association studies of production traits using whole-genome sequence data for 5 French and Danish dairy cattle breeds. Journal of Dairy Science, 99(11), 8932-8945. https://doi.org/10.3168/jds.2016-11073
Zhang, Q., Guldbrandtsen, B., Calus, M. P. L., Lund, M. S. & Sahana, G. (2016). Comparison of gene-based rare variant association mapping methods for quantitative traits in a bovine population with complex familial relationships. Genetics Selection Evolution, 48(1), Artikel 60. https://doi.org/10.1186/s12711-016-0238-5
Rohde, P. D., Demontis, D., Castro Dias Cuyabano, B., Børglum, A. & Sørensen, P. (2016). Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes. Genetics (Print), 203(4), 1901-1913. https://doi.org/10.1534/genetics.116.189498
Ehsani, A., Janss, L., Pomp, D. & Sørensen, P. (2016). Decomposing genomic variances in a mouse F2 population using information from GWA, GWE and eQTL analyses. Animal Genetics, 47(2), 165-173. https://doi.org/10.1111/age.12396
Marete, A. G., Lund, M. S. & Boichard, D. A. (2016). Dissecting dairy complex traits beyond additive effects using genetic markers. Abstract fra 19 thSéminaire des thésards du Département de Génétique Animale, Toulouse, Frankrig.
Ashraf, B. H., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Lenk, I., Roulund, N., Didion, T., Jensen, C. S., Jensen, J. & Janss, L. L. (2016). Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing. Theoretical and Applied Genetics, 129(1), 45-52. https://doi.org/10.1007/s00122-015-2607-9
Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H. & Buitenhuis, A. J. (2016). Fine mapping and genomic prediction for detailed milk protein composition. Poster-session præsenteret på 5th International Conference on Quantitative Genetics , Madison, USA.
Zhang, Q., Guldbrandtsen, B., Thomasen, J. R., Lund, M. S. & Sahana, G. (2016). Genome-wide association study for longevity with whole-genome sequencing in 3 cattle breeds. Journal of Dairy Science, 99(9), 7289-7298. https://doi.org/10.3168/jds.2015-10697
Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2016). Genomic evaluation by including dominance effects and inbreeding depression for purebred and crossbred performance with an application in pigs. Genetics Selection Evolution, 48(1), 1-14. Artikel 98. https://doi.org/10.1186/s12711-016-0271-4
Edwards, S. M., Sørensen, I. F., Sarup, P., Mackay, T. F. C. & Sørensen, P. (2016). Genomic prediction for quantitative traits is improved by mapping variants to gene ontology categories in Drosophila melanogaster. Genetics, 203(4), 1871-1883. https://doi.org/10.1534/genetics.116.187161
Laplat, F., Jensen, J. & Madsen, P. (2016). Genomic Prediction of Manganese Efficiency in Winter Barley. The Plant Genome, 9(2), 1-13. https://doi.org/10.3835/plantgenome2015.09.0085
Sarup, P. M., Jensen, J., Ostersen, T., Henryon, M. & Sørensen, P. (2016). Increased prediction accuracy using a genomic feature model including prior information on quantitative trait locus regions in purebred Danish Duroc pigs. BMC Genetics, 17(11), Artikel 11. https://doi.org/10.1186/s12863-015-0322-9
Sverrisdóttir, E., Janss, L., Byrne, S., Asp, T. & Lehmann Nielsen, K. (2016). Initiating genomic selection in tetraploid potato. Abstract fra 13th Solanaceae Conference, Davis, USA.
Gebreyesus, G., Lund, M. S., Janss, L., Bovenhuis, H. & Buitenhuis, A. J. (2016). Modeling heterogeneous co-variancas for genomic regions in prediction for milk protein compositions. I Book of Abstracts of the 67th Annual Meeting of the European Association for Animal Production Wageningen Academic Publishers. https://doi.org/10.3920/978-90-8686-830-8
Lund, M. S., van den Berg, I., Ma, P., Brøndum, R. F. & Su, G. (2016). Review: How to improve genomic predictions in small dairy cattle populations. Animal, 10(6), 1042-1049. https://doi.org/10.1017/S1751731115003031
Van den Berg, I., Boichard, D. & Lund, M. S. (2016). Sequence variants selected from a multi-breed GWAS can improve the reliability of genomic predictions in dairy cattle. Genetics Selection Evolution, 48, Artikel 83. https://doi.org/10.1186/s12711-016-0259-0
Gebreyesus, G., Lund, M. S., Janss, L., Poulsen, N. A., Larsen, L. B., Bovenhuis, H. & Buitenhuis, A. J. (2016). Short communication: Multi-trait estimation of genetic parameters for milk protein composition in the Danish Holstein. Journal of Dairy Science, 99(4), 2863-2866. https://doi.org/10.3168/jds.2015-10501
Li, X., Lund, M. S., Zhang, Q., Costa, C. N., Ducrocq, V. & Su, G. (2016). Short communication: Improving accuracy of predicting breeding values in Brazilian Holstein population by adding data from Nordic and French Holstein populations. Journal of Dairy Science, 99(6), 4574-4579. Artikel 74482. https://doi.org/10.3168/jds.2015-10609
Ostersen, T., Christensen, O. F., Madsen, P. & Henryon, M. (2016). Sparse single-step method for genomic evaluation in pigs. Genetics Selection Evolution, 48(1), Artikel 48. https://doi.org/10.1186/s12711-016-0227-8
Rohde, P. D., Madsen, L. S., Arvidson, S. M. N., Loeschcke, V., Demontis, D. & Kristensen, T. N. (2016). Testing candidate genes for attention-deficit/hyperactivity disorder in fruit flies using a high throughput assay for complex behavior. Fly, 10(1), 25-34. Artikel 1158365. https://doi.org/10.1080/19336934.2016.1158365
Pertoldi, C., Bahrndorff, S., Kurbalija Novicic, Z. & Rohde, P. D. (2016). The Novel Concept of “Behavioural Instability” and Its Potential Applications. Symmetry, 8(11), 1-13. Artikel 135. https://doi.org/10.3390/sym8110135
van den Berg, I., Boichard, D., Guldbrandtsen, B. & Lund, M. S. (2016). Using Sequence Variants in Linkage Disequilibrium with Causative Mutations to Improve Across-Breed Prediction in Dairy Cattle: A Simulation Study. G3: Genes, Genomes, Genetics, 6(8), 2553-2561. https://doi.org/10.1534/g3.116.027730
Legarra, A., Christensen, O. F., Vitezica, Z. G., Aguilar, I. & Misztal, I. (2015). Ancestral Relationships Using Metafounders: Finite Ancestral Populations and Across Population Relationships. Genetics (Print), 200(2), 455-468. https://doi.org/10.1534/genetics.115.177014
Meier, K., Lund, M. S. & Sørensen, A. C. (2015). A simulation study of a future infrastructure supporting genomic selection in mink. I Proceedings of NJF fur animal seminar 485 (s. 221-230)
Castro Dias Cuyabano, B., Su, G., Rosa, G. J. M., Lund, M. S. & Gianola, D. (2015). Bootstrap study of genome-enabled prediction reliabilities using haplotype blocks across Nordic Red cattle breeds. Journal of Dairy Science, 98(10), 7351-63. https://doi.org/10.3168/jds.2015-9360
Gianola, D., de los Campos, G., Toro, M. A., Naya, H., Schön, C.-C. & Sorensen, D. (2015). Do Molecular Markers Inform About Pleiotropy? Genetics, 201(1), 23-29. https://doi.org/10.1534/genetics.115.179978
Lopes, M. S., Bastiaansen, J. W. M., Janss, L., Knol, E. F. & Bovenhuis, H. (2015). Estimation of Additive, Dominance, and Imprinting Genetic Variance Using Genomic Data. G3: Genes, Genomes, Genetics (Bethesda), 5(12), 2629-2637. https://doi.org/10.1534/g3.115.019513
Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2015). Estimation of inbreeding using pedigree, 50k SNP chip genotypes and full sequence data in three cattle breeds. BMC Genetics, 16(88), 1-16. https://doi.org/10.1186/s12863-015-0227-7
Janss, L. (2015). Experiences in Bioinformatics. Abstract fra ADSA-ASAS Joint Annual Meeting 2015, Orlando, Florida, USA. http://www.jtmtg.org/JAM/2015/index.asp
Morgante, F., Sorensen, P., Sorensen, D. A., Maltecca, C. & Mackay, T. F. C. (2015). Genetic Architecture of Micro-Environmental Plasticity in Drosophila melanogaster. Scientific Reports, 5, Artikel 9785. https://doi.org/10.1038/srep09785
Sørensen, P., de los Campos, G., Morgante, F., F C Mackay, T. & Sorensen, D. (2015). Genetic control of environmental variation of two quantitative traits of Drosophila melanogaster revealed by whole-genome sequencing. Genetics (Print), 201(2), 487-497. https://doi.org/10.1534/genetics.115.180273
Kadri, N. K., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2015). Genetic dissection of milk yield traits and mastitis resistance QTL on chromosome 20 in dairy cattle. Journal of Dairy Science, 98(12), 9015-9025. https://doi.org/10.3168/jds.2015-9599
Janss, L., Sverrisdóttir, E. & Lehmann Nielsen, K. (2015). Genomic analysis in tetraploid potato using genotyping-by-sequencing. Abstract fra XVI Meeting of the EUCARPIA , Wageningen, Holland.
de los Campos, G., Sorensen, D. & Gianola, D. (2015). Genomic Heritability: What Is It? PLoS Genetics, 11(5), 1-21. https://doi.org/10.1371/journal.pgen.1005048
Cericola, F., Fé, D., Janss, L., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Roulund, N., Jensen, C. S., Lenk, I. & Jensen, J. (2015). Genomic Selection Using Genotyping-By-Sequencing Data with Different Coverage Depth in Perennial Ryegrass. Poster-session præsenteret på Plant and Animal Genome Conference XIII, San Diego, USA. https://pag.confex.com/pag/xxiii/webprogram/Paper15890.html
Cericola, F., Fé, D., Janss, L., Byrne, S., Fé, D., Czaban, A., Asp, T., Pedersen, M. G., Roulund, N., Jensen, C. S., Lenk, I. & Jensen, J. (2015). Genomic Selection Using Genotyping-By-Sequencing Data with Different Coverage Depth in Perennial Ryegrass. I Final Program, Abstract & Exhibit Guide (s. 290-290) https://pag.confex.com/pag/xxiii/webprogram/Paper15890.html
Sverrisdóttir, E., Janss, L., Byrne, S. & Lehmann Nielsen, K. (2015). Initiating Genomic Selection in Tetraploid Potato. Poster-session præsenteret på 12th Solanaceae Conference, Bordeaux, Frankrig.

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artikler af eksterne partnere

2018

Tidsskriftartikler

Morgante, F., Huang, W., Maltecca, C., Mackay. T.F.C. 2018. Effect of genetic architecture on the prediction accuracy of quantitative traits in samples of unrelated individuals. Heredity 120: 500-514

Konferencebidrag

van den Berg, I., Hayes, B.J., Goddard, M.E. 2018. Using expression data to detect small QTL in dairy cattle. Proceedings of the 11th WCGALP, Auckland, New Zealand 2018

2017

Tidsskriftartikler

van den Berg, I., Bowman, P.J., MacLeod, I.M., Hayes, B.J., Wang, T., Bolormaa, S., Goddard, M.E. 2017. Multi-breed genomic prediction using Bayes R with sequence data and dropping variants with a small effect. Genetic Selection Evolution 49:70.

Konferencebidrag

van den Berg, I., MacLeod, I.M., Bowman, P.J., Wang, T., Goddard, M.E. 2017. Strategies to use whole genome sequence data for genomic prediction in dairy cattle. 22nd AAABG conference, Townsville, Australia.

van den Berg, I., Meuwissen, T.H.E., Macleod, I.M., Goddard, M.E. 2017. Predicting the effect of reference population on the accuracy of across and multi breed genomic prediction. 5th Annual GenSAP Meeting, Billund, Denmark. 15 – 16 November.

van den Berg, I., Hayes, B.J., Goddard, M.E. 2017. Using expression data to detect small QTL in dairy cattle. 5th Annual GenSAP Meeting, Billund, Denmark. 15 – 16 November.

Revideret 19.03.2025
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Jette Odgaard Villemoes