Center for Kvantitativ Genetik og Genomforskning

Aarhus Universitets segl

Publikationer

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Zhang, Q., Guldbrandtsen, B., Bosse, M., Lund, M. S. & Sahana, G. (2014). Runs of homozygosity and distribution of functional variants in cattle genome. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014#/activity/67ND0x1HWf
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
Zhang, Q., Guldbrandtsen, B., Bosse, M., Lund, M. S. & Sahana, G. (2015). Runs of homozygosity and distribution of functional variants in cattle genome. BMC Genomics, 16(542), 1-16. https://doi.org/10.1186/s12864-015-1715-x
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
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
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
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
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
Xiang, T., Christensen, O. F., Vitezica, Z. G. & Legarra, A. (2018). Genomic model with correlation between additive and dominance effects. Genetics, 209(3), 711-723. https://doi.org/10.1534/genetics.118.301015
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
Villumsen, T. M., Su, G., Cai, Z., Guldbrandtsen, B., Asp, T., Sahana, G. & Lund, M. S. (2018). Genomic selection in mink yield higher accuracies with a Bayesian approach allowing for heterogeneous variance than a GBLUP model. I Proceedings of the World Congress on Genetics Applied to Livestock Production, 2018: Volume Methods and Tools - Prediction 2 Artikel 11.618 http://www.wcgalp.org/proceedings/2018/genomic-selection-mink-yield-higher-accuracies-bayesian-approach-allowing
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
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
van den Berg, I., Boichard, D. & Lund, M. S. (2015). Multi-breed GWAS and meta-analysis using sequences of five dairy cattle breeds improve QTL mapping. I Book of Abstract of the 66th Annual Meeting of the European Federation of Animal Science (Bind 21, s. 347-347). Wageningen Academic Publishers. http://www.wageningenacademic.com/doi/book/10.3920/978-90-8686-816-2
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
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
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
Tsai, H.-Y., Janss, L. L., Andersen, J. R., Orabi, J., Jensen, J. D., Jahoor, A. & Jensen, J. (2020). Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat. Scientific Reports, 10(1), Artikel 3347. https://doi.org/10.1038/s41598-020-60203-2
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.
Thirstrup, J. P., Jensen, J. & Lund, M. S. (2017). Genetic parameters for fur quality graded on live animals and dried pelts of American mink (Neovison vison). Journal of Animal Breeding and Genetics (Online), 134(4), 322-331. https://doi.org/10.1111/jbg.12258
Tessema, B. B., Liu, H., Sørensen, A. C., Andersen, J. R. & Jensen, J. (2020). Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat. Frontiers in Genetics, 11, Artikel 578123. https://doi.org/10.3389/fgene.2020.578123
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.
Sverrisdóttir, E., Byrne, S., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L. & Nielsen, K. L. (2017). Genomic prediction of starch content and chipping quality in tetraploid potato using genotyping-by-sequencing. Theoretical and Applied Genetics, 130(10), 2091-2108. https://doi.org/10.1007/s00122-017-2944-y
Sverrisdóttir, E., Sundmark, E. H. R., Johnsen, H. Ø., Kirk, H. G., Asp, T., Janss, L., Bryan, G. & Nielsen, K. L. (2018). The value of expanding the training population to improve genomic selection models in tetraploid potato. Frontiers in Plant Science, 9, Artikel 1118. https://doi.org/10.3389/fpls.2018.01118
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.
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
Su, G., Christensen, O. F., Janss, L. & Lund, M. S. (2014). Genomic prediction using genomic relationship matrix weighted with SNP variances estimated from Bayesian mixture model. I Book of Abstracts of the 65th Annual Meeting of the European Federation of Animal Science (Bind 20, s. 217-217). Wageningen Academic Publishers. http://www.wageningenacademic.com/eaap2014
Sørensen, P., Edwards, S. M. & Rohde, P. D. (2014). Genomic Feature Models. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://asas.org/docs/default-source/wcgalp-proceedings-oral/303_paper_10280_manuscript_1285_0.pdf
Sørensen, P., Edwards, S. M., Sarup, P. M. & Sorensen, D. A. (2014). Sequence-based partitioning of genomic variance using prior biological information. EAAP Book of Abstracts, 20, 167-167. http://www.wageningenacademic.com/eaap2014
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
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
Sarup, P. M., Jensen, J., Edwards, S. M., Ostersen, T., Sørensen, P. & Henryon, M. A. (2014). Separating Signal from Noise Estimating SNP-effects and Decomposing Genetic Variation to the Level of QTLs in Pure Breed Duroc Pigs. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/8tN0Up65ZB
Sarup, P. M., Guldbrandtsen, B., Nielsen, B. N., Sørensen, P. & Jensen, J. (2014). Imputation from 60K SNP data to whole-genome level in Danish Landrace and Duroc pigs. EAAP Book of Abstracts, 169-169. http://www.wageningenacademic.com/eaap2014
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
Sahana, G., Janss, L., Guldbrandtsen, B. & Lund, M. S. (2014). Genetic Architecture of Milk, Fat, Protein, Mastitis and Fertility Studied using NGS Data in Holstein Cattle. Afhandling præsenteret på 10th World Congress on Genetics Applied to Livestock Production (WCGALP), Vancouver, Canada. https://event.crowdcompass.com/wcgalp2014/activity/SPE1ZV6qCw
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., 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. (2014). Psykofluer - bananfluer som model for psykiske  sygdomme. Aktuel Naturvidenskab, 5, 34-37.
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
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
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
Rohde, P. D., Gartner, B., Ward, K., Sørensen, P. & F C Mackay, T. (2017). Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior. Genetics (Print), 206(4), 1969-1984. https://doi.org/10.1534/genetics.117.200642
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
Rohde, P. D., Sørensen, I. F. & Sørensen, P. (2018). Genomic Feature Prediction Models - Improved Prediction Accuracy by Joint Marker Estimation. Poster-session præsenteret på ESHG 2018: European Society of Human Genetics, Milano, Italien.
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
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
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
Ørsted, M., Hoffmann, A. A., Rohde, P. D., Sørensen, P. & Kristensen, T. N. (2019). Strong impact of thermal environment on the quantitative genetic basis of a key stress tolerance trait. Heredity, 122(3), 315-325. https://doi.org/10.1038/s41437-018-0117-7

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Næste

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