Center for Kvantitativ Genetik og Genomforskning

Aarhus Universitets segl

Publikationer

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Morgante, F., Sorensen, D. A., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2014). Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/PabaGIO0N3
Morgante, F., Sorensen, D. A., Sørensen, P., Maltecca, C. & Mackay, T. F. C. (2014). Genetic Analysis of Micro-environmental Plasticity in Drosophila melanogaster. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/PabaGIO0N3
Rohde, P. D., Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.org/docs/default-source/wcgalp-posters/673_paper_9223_manuscript_493_0.pdf
Rohde, P. D., Edwards, S. M., Sarup, P. M. & Sørensen, P. (2014). Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/ztj3NIVR9W
Rohde, P. D., Østergaard, S., Kristensen, T. N., Sørensen, P., Loeschcke, V., F C Mackay, T. & Sarup, P. M. (2018). Functional validation of candidate genes detected by genomic feature models. G3: Genes, Genomes, Genetics (Bethesda), 8(5), 1659-1668. https://doi.org/10.1534/g3.118.200082
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.
Fang, L., Sahana, G., Ma, P., Su, G., Yu, Y., Zhang, S., Lund, M. S. & Sørensen, P. (2017). Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection. Genetics Selection Evolution, 49, Artikel 44. https://doi.org/10.1186/s12711-017-0319-0
Marete, A. G., Janss, L., Guldbrandtsen, B., Hoze, C., Sahana, G., Boichard, D. A. & Lund, M. S. (2018). Exploring non-additive variance using genome-wide dense SNP in four French and Nordic dairy cattle breeds. I Proceedings of the World Congress on Genetics Applied to Livestock Production Artikel 70
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
Boichard, D. A., Boussaha, M., Capitan, A., Rocha, D., Hoze, C., Sanchez, M.-P., Tribout, T., Letaief, R., Croiseau, P., Grohs, C., Li, W., Harland, C., Charlier, C., Lund, M. S., Sahana, G., Georges, M., Barbier, S., Coppieters, W., Fritz, S. & Guldbrandtsen, B. (2018). Experience from large scale use of the EuroGenomics custom SNP chip in cattle. I Proceedings of the World Congress on Genetics Applied to Livestock Production: Volume Molecular Genetics 4 (Bind 11). Artikel 11.675 http://www.wcgalp.org/proceedings/2018/experience-large-scale-use-eurogenomics-custom-snp-chip-cattle
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
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
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
Ørsted, M., Rohde, P. D., Hoffmann, A. A., Sørensen, P. & Kristensen, T. N. (2018). Environmental variation partitioned into separate heritable components. Evolution, 72(1), 136-152. https://doi.org/10.1111/evo.13391
Wang, L., Janss, L. L., Madsen, P., Henshall, J., Huang, C.-H., Marois, D., Alemu, S., Sørensen, A. C. & Jensen, J. (2020). Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices. Genetics, selection, evolution : GSE, 52(1), Artikel 31. https://doi.org/10.1186/s12711-020-00550-w
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
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.
Cai, Z., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2019). Dissecting closely linked association signals in combination with the mammalian phenotype database can identify candidate genes in dairy cattle. BMC Genetics, 20, Artikel 15. https://doi.org/10.1186/s12863-019-0717-0
Janss, L. (2014). Disentangling Pleiotropy along the Genome using Sparse Latent Variable Models. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/2NusKyePpB
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
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
Zhang, Q., Calus, M. P. L., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2017). Contribution of rare and low-frequency whole-genome sequence variants to complex traits variation in dairy cattle. Genetics Selection Evolution, 49(1), Artikel 60. https://doi.org/10.1186/s12711-017-0336-z
Cao, L., Mulder, H. A., Liu, H., Nielsen, H. M. & S⊘rensen, A. C. (2021). Competitive gene flow does not necessarily maximize the genetic gain of genomic breeding programs in the presence of genotype-by-environment interaction. Journal of Dairy Science, 104(7), 8122-8134. https://doi.org/10.3168/jds.2020-19823
Su, G., Christensen, O. F., Janss, L. & Lund, M. S. (2014). Comparison of genomic predictions using genomic relationship matrices built with different weighting factors to account for locus-specific variances. Journal of Dairy Science, 97(10), 6547-6559. https://doi.org/10.3168/jds.2014-8210
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
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
Gebreyesus, G., Buitenhuis, A. J., Poulsen, N. A., Visker, M. H. P. W., Zhang, Q., van Valenberg, H. J. F., Sun, D. & Bovenhuis, H. (2019). Combining multi-population datasets for joint genome-wide association and meta-analyses: The case of bovine milk fat composition traits. Journal of Dairy Science, 102(12), 11124-11141. https://doi.org/10.3168/jds.2019-16676
Meier, K., Norberg, E., Thomsen, B. & Sorensen, A. C. (2017). Combining breeding practice and quantitative genetic theory: Examples from a fish breeding network in Denmark. Aquaculture, 472(Special Issue), 133.
Madsen, M. D., Villumsen, T. M., Hansen, B. K., Møller, S. H., Jensen, J. & Shirali, M. (2020). Combined analysis of group recorded feed intake and individually recorded body weight and litter size in mink. Animal, 14(9), 1793-1801. https://doi.org/10.1017/S1751731120000762
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
Esfandyari, H., Berg, P. & Sørensen, A. C. (2018). Balanced selection on purebred and crossbred performance increases gain in crossbreds. Genetics Selection Evolution, 50(1), Artikel 8. https://doi.org/10.1186/s12711-018-0379-9
Marete, A. G., Lund, M. S., Boichard, D. A. & Ramayo-Caldas, Y. (2018). A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds. PLoS One, 13(7), Artikel e0199931. https://doi.org/10.1371/journal.pone.0199931
Jardim, J. G., Guldbrandtsen, B., Lund, M. S. & Sahana, G. (2018). Association analysis for udder index and milking speed with imputed whole-genome sequence variants in Nordic Holstein cattle. Journal of Dairy Science, 101(3), 2199-2212. https://doi.org/10.3168/jds.2017-12982
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)
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
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
Uddin, M. M., Guldbrandtsen, B., Iso-Touru, T., Vilkki, J., de Koning, D.-J., Boichard, D., Lund, M. S. & Sahana, G. (2017). A population scale discovery of large deletions in Holstein, Jersey and Nordic Red Cattle genome. Poster-session præsenteret på 36th International Society for Animal Genetics Conference, Dublin, Irland. http://www.isag.us/Docs/Proceedings/ISAG2017_Proceedings.pdf?v3
Henryon, M., Berg, P. & Sørensen, A. C. (2014). Animal-breeding schemes using genomic information need breeding plans designed to maximise long-term genetic gains. Livestock Science, 166, 38-47. https://doi.org/10.1016/j.livsci.2014.06.016
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
Mesbah-Uddin, M., Hoze, C., Michot, P., Barbat, A., Lefebvre, R., Boussaha, M., Sahana, G., Fritz, S., Boichard, D. & Capitan, A. (2019). A missense mutation (p.Tyr452Cys) in the CAD gene compromises reproductive success in French Normande cattle. Journal of Dairy Science, 102(7), 6340-6356. https://doi.org/10.3168/jds.2018-16100
Marete, A. G., Guldbrandtsen, B., Lund, M. S., Fritz, S., Sahana, G. & Boichard, D. (2018). A Meta-Analysis Including Pre-selected Sequence Variants Associated With Seven Traits in Three French Dairy Cattle Populations. Frontiers in Genetics, 9, Artikel 522. https://doi.org/10.3389/fgene.2018.00522
Gebregiwergis, G. T., Meuwissen, T. H. E., Sørensen, A. C. & Henryon, M. (2017). Alternative genomic relationship matrices in genomic optimum optimun contribution selection. Abstract fra 68th Annual Meeting of the European Federation of Animal Science , Tallinn, Estland. http://www.dairycareaction.org/uploads/2/4/2/6/24266896/eaap2017_book_of_abstracts_-_preliminary_pages.pdf
van den Berg, I., Guldbrandtsen, B., Hozé, C., Brøndum, R. F., Boichard, D. A. & Lund, M. S. (2014). Across Breed QTL Detection and Genomic Prediction in French and Danish Dairy Cattle Breeds. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN
van den Berg, I., Guldbrandtsen, B., Hozé, C., Brøndum, R. F., Boichard, D. A. & Lund, M. S. (2014). Across Breed QTL Detection and Genomic Prediction in French and Danish Dairy Cattle Breeds. Poster-session præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/DtbvU7eMTN
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

Viser resultater 101 til 145 ud af 145

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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