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Uppsala universitet Uppsala universitet Institutionen för medicinsk biokemi och mikrobiologi
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Uppsala universitet Institutionen för medicinsk ... Forskargrupper Genetik och genomik Carlborg Örjan Publikationer
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  • Forskningsområden
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  • Professor Emeriti
  • Publikationer vid IMBIM
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Publikationer

  • Researching on the fine structure and admixture of the worldwide chicken population reveal connections between populations and important events in breeding history.

    Guo, Y., Ou, J., Zan, Y., Wang, Y., Li, H. et al. (2021). Evolutionary Applications DOI
  • Multiple ancestral haplotypes harboring regulatory mutations cumulatively contribute to a QTL affecting chicken growth traits.

    Wang, Y., Cao, X., Luo, C., Sheng, Z., Zhang, C. et al. (2020). Communications Biology, . vol. 3 DOI
  • Haplotype Purging after Relaxation of Selection in Lines of Chickens That Had Undergone Long-Term Selection for High and Low Body Weight.

    Yang, Y., Zan, Y., Honaker, C., Siegel, P., Carlborg, Ö. (2020). Genes, . vol. 11 DOI
  • Dissecting the Genetic Regulation of Yeast Growth Plasticity in Response to Environmental Changes.

    Zan, Y., Carlborg, Ö. (2020). Genes, vol. 11 DOI
  • Dynamic genetic architecture of yeast response to environmental perturbation shed light on origin of cryptic genetic variation.

    Zan, Y., Carlborg, Ö. (2020). PLOS Genetics, . vol. 16 DOI
  • A genomic inference of the White Plymouth Rock genealogy.

    Guo, Y., Lillie, M., Zan, Y., Beranger, J., Martin, A. et al. (2019). Poultry Science, vol. 98, ss. 5272-5280 DOI
  • Bidirectional Selection for Body Weight on Standing Genetic Variation in a Chicken Model.

    Lillie, M., Honaker, C., Siegel, P., Carlborg, Ö. (2019). G3, vol. 9, ss. 1165-1173 DOI
  • A polygenic genetic architecture of flowering time in the worldwide Arabidopsis thaliana population..

    Zan, Y., Carlborg, Ö. (2019). Molecular biology and evolution, vol. 36, ss. 141-154 DOI
  • Genotyping by low-coverage whole-genome sequencing in intercross pedigrees from outbred founders: a cost-efficient approach.

    Zan, Y., Payen, T., Lillie, M., Honaker, C., Siegel, P. et al. (2019). Genetics Selection Evolution, . vol. 51 DOI
  • Genomic signatures of 60 years of bidirectional selection for 8-week body weight in chickens.

    Lillie, M., Sheng, Z., Honaker, C., Andersson, L., Siegel, P. et al. (2018). Poultry Science, . vol. 97, ss. 781-790 DOI
  • A multi-locus association analysis method integrating phenotype and expression data reveals multiple novel associations to flowering time variation in wild-collected Arabidopsis thaliana..

    Zan, Y., Carlborg, Ö. (2018). Molecular Ecology Resources, vol. 18 DOI
  • On the Relationship Between High-Order Linkage Disequilibrium and Epistasis.

    Zan, Y., Forsberg, S., Carlborg, Ö. (2018). G3, . vol. 8, ss. 2817-2824 DOI
  • Imputation-Based Fine-Mapping Suggests That Most QTL in an Outbred Chicken Advanced Intercross Body Weight Line Are Due to Multiple, Linked Loci.

    Brandt, M., Ahsan, M., Honaker, C., Siegel, P., Carlborg, Ö. (2017). G3, vol. 7, ss. 119-128 DOI
  • Accounting for genetic interactions improves modeling of individual quantitative trait phenotypes in yeast.

    Forsberg, S., Bloom, J., Sadhu, M., Kruglyak, L., Carlborg, Ö. (2017). Nature Genetics, vol. 49, ss. 497-503 DOI
  • On the relationship between epistasis and genetic variance heterogeneity..

    Forsberg, S., Carlborg, Ö. (2017). Journal of Experimental Botany, vol. 68, ss. 5431-5438 DOI
  • Genome-wide standing variation facilitates long-term response to bidirectional selection for antibody response in chickens.

    Lillie, M., Sheng, Z., Honaker, C., Dorshorst, B., Ashwell, C. et al. (2017). BMC Genomics, vol. 18 DOI
  • Genetics of Interactive Behavior in Silver Foxes (Vulpes vulpes).

    Nelson, R., Temnykh, S., Johnson, J., Kharlamova, A., Vladimirova, A. et al. (2017). Behavior Genetics, vol. 47, ss. 88-101 DOI
  • Artificial Selection Response due to Polygenic Adaptation from a Multilocus, Multiallelic Genetic Architecture..

    Zan, Y., Sheng, Z., Lillie, M., Rönnegård, L., Honaker, C. et al. (2017). Molecular biology and evolution, vol. 34, ss. 2678-2689 DOI
  • A Complex Structural Variation on Chromosome 27 Leads to the Ectopic Expression of HOXB8 and the Muffs and Beard Phenotype in Chickens.

    Guo, Y., Gu, X., Sheng, Z., Wang, Y., Luo, C. et al. (2016). PLOS Genetics, vol. 12 DOI
  • Genetic Regulation of Transcriptional Variation in Natural Arabidopsis thaliana Accessions.

    Zan, Y., Shen, X., Forsberg, S., Carlborg, O. (2016). G3, vol. 6, ss. 2319-2328 DOI
  • Mitogenomic analysis of a 50-generation chicken pedigree reveals a rapid rate of mitochondrial evolution and evidence for paternal mtDNA inheritance.

    Alexander, M., Ho, S., Molak, M., Barnett, R., Carlborg, Ö. et al. (2015). Biology Letters, vol. 11 DOI
  • Reassess the t Test: Interact with All Your Data via ANOVA..

    Brady, S., Burow, M., Busch, W., Carlborg, Ö., Denby, K. et al. (2015). The Plant Cell, vol. 27 DOI
  • The Multi-allelic Genetic Architecture of a Variance-Heterogeneity Locus for Molybdenum Concentration in Leaves Acts as a Source of Unexplained Additive Genetic Variance..

    Forsberg, S., Andreatta, M., Huang, X., Danku, J., Salt, D. et al. (2015). PLOS Genetics, vol. 11 DOI
  • The Shepherds' Tale: A Genome-Wide Study across 9 Dog Breeds Implicates Two Loci in the Regulation of Fructosamine Serum Concentration in Belgian Shepherds.

    Forsberg, S., Kierczak, M., Ljungvall, I., Merveille, A., Gouni, V. et al. (2015). PLOS ONE, vol. 10 DOI
  • cgmisc: Enhanced Genome-wide Association Analyses and Visualisation.

    Kierczak, M., Jablonska, J., Forsberg, S., Bianchi, M., Tengvall, K. et al. (2015). Bioinformatics, vol. 31, ss. 3830-3831 DOI
  • A Genome-Wide Association Analysis Reveals Epistatic Cancellation of Additive Genetic Variance for Root Length in Arabidopsis thaliana..

    Lachowiec, J., Shen, X., Queitsch, C., Carlborg, Ö. (2015). PLOS Genetics, vol. 11 DOI
  • Capacitating epistasis--detection and role in the genetic architecture of complex traits..

    Pettersson, M., Carlborg, Ö. (2015). Methods in Molecular Biology, vol. 1253 DOI
  • Standing genetic variation as a major contributor to adaptation in the Virginia chicken lines selection experiment..

    Sheng, Z., Pettersson, M., Honaker, C., Siegel, P., Carlborg, Ö. (2015). Genome Biology, vol. 16 DOI
  • Multiple Changes of Gene Expression and Function Reveal Genomic and Phenotypic Complexity in SLE-like Disease.

    Wilbe, M., Kozyrev, S., Farias, F., Bremer, H., Hedlund, A. et al. (2015). PLOS Genetics, vol. 11 DOI
  • Genetic influences on brain gene expression in rats selected for tameness and aggression..

    Heyne, H., Lautenschläger, S., Nelson, R., Besnier, F., Rotival, M. et al. (2014). Genetics, vol. 198 DOI
  • Natural CMT2 variation is associated with genome-wide methylation changes and temperature seasonality..

    Shen, X., De Jonge, J., Forsberg, S., Pettersson, M., Sheng, Z. et al. (2014). PLOS Genetics, vol. 10 DOI
  • Identification of candidate genes and mutations in QTL regions for chicken growth using bioinformatic analysis of NGS and SNP-chip data..

    Ahsan, M., Li, X., Lundberg, A., Kierczak, M., Siegel, P. et al. (2013). Frontiers in Genetics, vol. 4 DOI
  • Identification of Null Alleles and Deletions from SNP Genotypes for an Intercross Between Domestic and Wild Chickens.

    Crooks, L., Carlborg, Ö., Marklund, S., Johansson, A. (2013). G3, vol. 3, ss. 1253-1260 DOI
  • PASE: a novel method for functional prediction of amino acid substitutions based on physicochemical properties..

    Li, X., Kierczak, M., Shen, X., Ahsan, M., Carlborg, Ö. et al. (2013). Frontiers in Genetics, vol. 4 DOI
  • Higher order interactions: detection of epistasis using machine learning and evolutionary computation..

    Nelson, R., Kierczak, M., Carlborg, Ö. (2013). Methods in Molecular Biology, vol. 1019 DOI
  • MAPfastR: Quantitative trait loci mapping in outbred line crosses.

    Nelson, R., Nettelblad, C., Pettersson, M., Shen, X., Crooks, L. et al. (2013). G3, vol. 3, ss. 2147-2149 DOI
  • A century after Fisher: time for a new paradigm in quantitative genetics..

    Nelson, R., Pettersson, M., Carlborg, Ö. (2013). Trends in Genetics, vol. 29 DOI
  • Variance heterogeneity in Saccharomyces cerevisiae expression data: trans-regulation and epistasis..

    Nelson, R., Pettersson, M., Li, X., Carlborg, Ö. (2013). PLOS ONE, vol. 8 DOI
  • Dynamics of adaptive alleles in divergently selected body weight lines of chickens..

    Pettersson, M., Johansson, A., Siegel, P., Carlborg, Ö. (2013). G3, vol. 3 DOI
  • Beware of risk for increased false positive rates in genome-wide association studies for phenotypic variability..

    Shen, X., Carlborg, Ö. (2013). Frontiers in Genetics, vol. 4 DOI
  • Genetic dissection of growth traits in a Chinese indigenous × commercial broiler chicken cross..

    Sheng, Z., Pettersson, M., Hu, X., Luo, C., Qu, H. et al. (2013). BMC Genomics, vol. 14 DOI
  • Genome-Wide Analysis in German Shepherd Dogs Reveals Association of a Locus on CFA 27 with Atopic Dermatitis.

    Tengvall, K., Kierczak, M., Bergvall, K., Olsson, M., Frankowiack, M. et al. (2013). PLOS Genetics, vol. 9, ss. e1003475- DOI
  • Estimation and interpretation of genetic effects with epistasis using the NOIA model..

    Alvarez-Castro, J., Carlborg, Ö., Rönnegård, L. (2012). Methods in Molecular Biology, vol. 871 DOI
  • Modelling of genetic interactions improves prediction of hybrid patterns: a case study in domestic fowl.

    Alvarez-Castro, J., Le Rouzic, A., Andersson, L., Siegel, P., Carlborg, Ö. (2012). Genetical Research, vol. 94, ss. 255-266 DOI
  • Generation of a multi-locus chicken introgression line to study the effects of genetic interactions on metabolic phenotypes in chickens..

    Ek, W., Marklund, S., Ragavendran, A., Siegel, P., Muir, W. et al. (2012). Frontiers in Genetics, vol. 3 DOI
  • Mapping QTL affecting a systemic sclerosis-like disorder in a cross between UCD-200 and red jungle fowl chickens.

    Ek, W., Sahlqvist, A., Crooks, L., Sgonc, R., Dietrich, H. et al. (2012). Developmental and Comparative Immunology, vol. 38, ss. 352-359 DOI
  • A genome-wide association study using international breeding-evaluation data identifies major loci affecting production traits and stature in the Brown Swiss cattle breed..

    Guo, J., Jorjani, H., Carlborg, Ö. (2012). BMC Genetics, vol. 13 DOI
  • Coherent estimates of genetic effects with missing information.

    Nettelblad, C., Carlborg, Ö., Pino-Querido, A., Álvarez-Castro, J. (2012). Open Journal of Genetics, vol. 2, ss. 31-38 DOI
  • Selection on variance-controlling genes: adaptability or stability..

    Pettersson, M., Nelson, R., Carlborg, Ö. (2012). Evolution, vol. 66 DOI
  • Strong signatures of selection in the domestic pig genome.

    Rubin, C., Megens, H., Barrio, A., Maqbool, K., Sayyab, S. et al. (2012). Proceedings of the National Academy of Sciences of the United States of America, vol. 109, ss. 19529-19536 DOI
  • Inheritance beyond plain heritability: variance controlling genes in Arabidopsis thaliana.

    Shen, X., Pettersson, M., Rönnegård, L., Carlborg, Ö. (2012). PLOS Genetics, vol. 8, ss. e1002839- DOI Ladda ner fulltext
  • Targeted resequencing of a genomic region influencing tameness and aggression reveals multiple signals of positive selection.

    Albert, F., Hodges, E., Jensen, J., Besnier, F., Xuan, Z. et al. (2011). Heredity, vol. 107, ss. 205-214 DOI
  • Fine mapping and replication of QTL in outbred chicken advanced intercross lines.

    Besnier, F., Wahlberg, P., Rönnegård, L., Ek, W., Andersson, L. et al. (2011). Genetics Selection Evolution, vol. 43, ss. 3- DOI
  • An improved method for estimating chromosomal line origin in QTL analysis of crosses between outbred lines.

    Crooks, L., Nettelblad, C., Carlborg, Ö. (2011). G3, vol. 1, ss. 57-64 DOI
  • qtl.outbred: Interfacing outbred line cross data with the R/qtl mapping software..

    Nelson, R., Shen, X., Carlborg, Ö. (2011). BMC Research Notes, vol. 4 DOI
  • qtl.outbred: interfacing outbred line cross data with the R/qtl mapping software.

    Nelson, R., Shen, X., Carlborg, Ö. (2011). BMC Research Notes, vol. 4
  • Replication and Explorations of High-Order Epistasis Using a Large Advanced Intercross Line Pedigree.

    Pettersson, M., Besnier, F., Siegel, P., Carlborg, Ö. (2011). PLoS Genetics, vol. 7, ss. e1002180- DOI
  • Hierarchical likelihood opens a new way of estimating genetic values using genome-wide dense marker maps..

    Shen, X., Rönnegård, L., Carlborg, Ö. (2011). BMC Proceedings, vol. 5 Suppl 3 DOI
  • Hierarchical likelihood opens a new way of estimating genetic values using genome-wide dense marker maps.

    Shen, X., Rönnegård, L., Carlborg, Ö. (2011). BMC Proceedings, vol. 5, ss. S14-
  • How to deal with genotype uncertainty in variance component quantitative trait loci analyses.

    Shen, X., Rönnegård, L., Carlborg, Ö. (2011). Genetical Research, vol. 93, ss. 333-342 DOI
  • Genetic analysis of metabolic traits in an intercross between body weight-selected chicken lines.

    Ek, W., Strömstedt, L., Wahlberg, P., Siegel, P., Andersson, L. et al. (2010). Physiological Genomics, vol. 42, ss. 20-22 DOI
  • Genome-Wide Effects of Long-Term Divergent Selection.

    Johansson, A., Pettersson, M., Siegel, P., Carlborg, Ö. (2010). PLoS Genetics, vol. 6, ss. e1001188- DOI
  • Genomic Analysis of Variation in Hindlimb Musculature of Mice from the C57BL/6J and DBA/2J Lineage.

    Lionikas, A., Carlborg, Ö., Lu, L., Peirce, J., Williams, R. et al. (2010). Journal of Heredity, vol. 101, ss. 360-367 DOI
  • SNP detection and prediction of variability between chicken lines using genome resequencing of DNA pools.

    Marklund, S., Carlborg, Ö. (2010). BMC Genomics, vol. 11, ss. 665- DOI
  • Whole genome resequencing reveals loci under selection during chicken domestication.

    Rubin, C., Zody, M., Eriksson, J., Meadows, J., Sherwood, E. et al. (2010). Nature, vol. 464, ss. 587-591 DOI
  • Genetic architecture of tameness in a rat model of animal domestication.

    Albert, F., Carlborg, Ö., Plyusnina, I., Besnier, F., Hedwig, D. et al. (2009). Genetics, vol. 182, ss. 541-554 DOI
  • A genetic algorithm based method for stringent haplotyping of family data.

    Besnier, F., Carlborg, Ö. (2009). BMC Genetics, vol. 10 DOI
  • Comparison of analyses of the QTLMAS XII common dataset. II: genome-wide association and fine mapping..

    Crooks, L., Sahana, G., de Koning, D., Lund, M., Carlborg, Ö. (2009). BMC Proceedings, vol. 3 Suppl 1
  • Comparison of analyses of the QTLMAS XII common dataset. I: Genomic selection..

    Lund, M., Sahana, G., de Koning, D., Su, G., Carlborg, Ö. (2009). BMC Proceedings, vol. 3 Suppl 1
  • cnF2freq: Efficient determination of genotype and haplotype probabilities in outbred populations using Markov models.

    Nettelblad, C., Holmgren, S., Crooks, L., Carlborg, Ö. (2009). I Bioinformatics and Computational Biology, Berlin: Springer-Verlag. ss. 307-319 DOI
  • Modelling dominance in a flexible intercross analysis..

    Rönnegård, L., Besnier, F., Carlborg, Ö. (2009). BMC Genetics, vol. 10 DOI
  • Genetic analysis of an F2 intercross between two chicken lines divergently selected for body-weight.

    Wahlberg, P., Carlborg, Ö., Foglio, M., Tordoir, X., Syvänen, A. et al. (2009). BMC Genomics, vol. 10, ss. 248- DOI
  • How to perform meaningful estimates of genetic effects.

    Alvarez-Castro, J., Le Rouzic, A., Carlborg, Ö. (2008). PLoS Genetics, vol. 4, ss. e1000062- DOI
  • Dissection of the genetic architecture of body weight in chicken reveals the impact of epistasis on domestication traits.

    Le Rouzic, A., Alvarez-Castro, J., Carlborg, Ö. (2008). Genetics, vol. 179, ss. 1591-1599 DOI
  • Evolutionary potential of hidden genetic variation.

    Le Rouzic, A., Carlborg, Ö. (2008). Trends in Ecology & Evolution, vol. 23, ss. 33-37 DOI
  • An Improved Method for Quantitative Trait Loci Detection and Identification of Within-Line Segregation in F2 Intercross Designs.

    Rönnegård, L., Besnier, F., Carlborg, Ö. (2008). Genetics, vol. 178, ss. 2315-2326 DOI
  • Defining the assumptions underlying modeling of epistatic QTL using variance component methods.

    Rönnegård, L., Pong-Wong, R., Carlborg, Ö. (2008). Journal of Heredity, vol. 99, ss. 421-425 DOI
  • A general and efficient method for estimating continuous IBD functions for use in genome scans for QTL.

    Besnier, F., Carlborg, Ö. (2007). BMC Bioinformatics, vol. 8 DOI
  • Statistical epistasis is a generic feature of gene regulatory networks.

    Gjuvsland, A., Hayes, B., Omholt, S., Carlborg, Ö. (2007). Genetics, vol. 175, ss. 411-420 DOI
  • Phenotypic evolution from genetic polymorphisms in a radial network architecture.

    Le Rouzic, A., Siegel, P., Carlborg, Ö. (2007). BMC Biology, vol. 5, ss. 50- DOI
  • Separation of base allele and sampling term effects gives new insights in variance component QTL analysis.

    Rönnegård, L., Carlborg, Ö. (2007). BMC Genetics, vol. 8, ss. 1- DOI
  • Increasing the efficiency of variance component quantitative trait loci analysis by using reduced-rank identity-by-descent matrices.

    Rönnegård, L., Mishchenko, K., Holmgren, S., Carlborg, Ö. (2007). Genetics, vol. 176, ss. 1935-1938 DOI
  • A unified model for functional and statistical epistasis and its application in quantitative trait loci analysis.

    Álvarez-Castro, J., Carlborg, Ö. (2007). Genetics, vol. 176, ss. 1151-1167 DOI
  • Epistasis and the release of genetic variation during long-term selection..

    Carlborg, Ö., Jacobsson, L., Ahgren, P., Siegel, P., Andersson, L. (2006). Nat Genet, vol. 38, ss. 418-20
  • Epistatic regulation of behavioural and morphological traits in the zebrafish (Danio rerio).

    Wright, D., Butlin, R., Carlborg, Ö. (2006). Behavior Genetics, vol. 36, ss. 914-922 DOI
  • Simultaneous mapping of epistatic QTL in DU6i x DBA/2 mice..

    Carlborg, Ö., Brockmann, G., Haley, C. (2005). Mammalian Genome, vol. 16 DOI
  • Methodological aspects of the genetic dissection of gene expression..

    Carlborg, Ö., De Koning, D., Manly, K., Chesler, E., Williams, R. et al. (2005). Bioinformatics, vol. 21 DOI
  • The genetic dissection of immune response using gene-expression studies and genome mapping..

    de Koning, D., Carlborg, Ö., Haley, C. (2005). Veterinary Immunology and Immunopathology, vol. 105 DOI
  • Epistasis: too often neglected in complex trait studies?.

    Carlborg, O., Haley, C. (2004). Nat Rev Genet, vol. 5, ss. 618-25
  • Simultaneous mapping of epistatic QTL in chickens reveals clusters of QTL pairs with similar genetic effects on growth..

    Carlborg, Ö., Hocking, P., Burt, D., Haley, C. (2004). Genetical research, vol. 83
  • Chicken genomics: Feather-pecking and victim pigmentation.

    Keeling, L., Andersson, L., Schütz, E., Kerje, S., Fredriksson, R. et al. (2004). Nature, vol. 431, ss. 645-6
  • Chicken genomics: feather-pecking and victim pigmentation..

    Keeling, L., Andersson, L., Schütz, K., Kerje, S., Fredriksson, R. et al. (2004). Nature, vol. 431 DOI
  • Simultaneous search for multiple QTL using the global optimization algorithm DIRECT.

    Ljungberg, K., Holmgren, S., Carlborg, Ö. (2004). Bioinformatics, vol. 20, ss. 1887-1895 DOI
  • Major Growth QTLs in Fowl Are Related to Fearful Behavior: Possible Genetic Links Between Fear Responses and Production Traits in a Red Junglefowl × White Leghorn Intercross.

    Schutz, K., Kerje, S., Jacobsson, L., Forkman, B., Carlborg, Ö. et al. (2004). Behavior Genetics, vol. 34, ss. 121-130 DOI
  • Major growth QTLs in fowl are related to fearful behavior: possible genetic links between fear responses and production traits in a red junglefowl x white leghorn intercross..

    Schütz, K., Kerje, S., Jacobsson, L., Forkman, B., Carlborg, Ö. et al. (2004). Behavior Genetics, vol. 34 DOI
  • A global search reveals epistatic interaction between QTL for early growthin the chicken.

    Carlborg, Ö., Kerje, S., Schutz, K., Jacobsson, L., Jensen, P. et al. (2003). Genome Research, vol. 13, ss. 413-421 DOI
  • A Global Search Reveals Epistatic Interaction Between QTL for Early Growth in the Chicken.

    Carlborg, Ö., Kerje, S., Schütz, K., Jacobsson, L., Jensen, P. et al. (2003). Genome Research, ss. 413-421
  • A global search reveals epistatic interaction between QTL for early growth in the chicken..

    Carlborg, Ö., Kerje, S., Schütz, K., Jacobsson, L., Jensen, P. et al. (2003). Genome Research, vol. 13 DOI
  • The twofold difference in adult size between the red junglefowl and WhiteLeghorn chickens is largely explained by a limited number of QTLs.

    Kerje, S., Carlborg, Ö., Jacobsson, L., Schutz, K., Hartmann, C. et al. (2003). Animal Genetics, vol. 34, ss. 264-274 DOI
  • The twofold difference in adult size between the red junglefowl and White Leghorn chickens is largely explained by a limited number of QTLs..

    Kerje, S., Carlborg, Ö., Jacobsson, L., Schütz, K., Hartmann, C. et al. (2003). Animal Genetics, vol. 34
  • The twofold difference in adult size between the red junglefowl and White Leghorn chickens is largely explained by a limited number of QTLs.

    Kerje, S., Carlborg, Ö., Jacobsson, L., Schütz, K., Hartmann, C. et al. (2003). Animal Genetics, ss. 264-274
  • Use of randomization testing to detect multiple epistatic QTLs..

    Carlborg, Ö., Andersson, L. (2002). Genetical research, vol. 79
  • Parallel computing in interval mapping of quantitative trait loci..

    Carlborg, Ö., Andersson-Eklund, L., Andersson, L. (2002). Journal of Heredity, vol. 92
  • Efficient algorithms for quantitative trait loci mapping problems.

    Ljungberg, K., Holmgren, S., Carlborg, Ö. (2002). Journal of Computational Biology, vol. 9, ss. 793-804 DOI
  • Melanocortin-4 receptor (MC4R) genotypes have no major effect on fatness in a Large White x Wild Boar intercross..

    Park, H., Carlborg, Ö., Marklund, S., Andersson, L. (2002). Animal Genetics, vol. 33
  • Melanocortin-4 receptor(MC4R) genotypes have no major effect on fatness in a Large White x Wild boar intercross.

    Park, H., Carlborg, Ö., Marklund, S., Andersson, L. (2002). Animal Genetics, vol. 33, ss. 155-157
  • QTL analysis of a red junglefowl x White Leghorn intercross reveals trade-off in resource allocation between behavior and production traits.

    Schutz, K., Kerje, S., Carlborg, Ö., Jacobsson, L., Andersson, L. et al. (2002). Behavior Genetics, vol. 32, ss. 423-433 DOI
  • The use of a genetic algorithm for simultaneous mapping of multiple interacting quantitative trait loci..

    Carlborg, Ö., Andersson, L., Kinghorn, B. (2000). Genetics, vol. 155
  • The origin of the domestic pig: independent domestication and subsequent introgression..

    Giuffra, E., Kijas, J., Amarger, V., Carlborg, Ö., Jeon, J. et al. (2000). Genetics, vol. 154
  • A paternally expressed QTL affecting skeletal and cardiac muscle mass in pigs maps to the IGF2 locus..

    Jeon, J., Carlborg, Ö., Törnsten, A., Giuffra, E., Amarger, V. et al. (1999). Nature Genetics, vol. 21 DOI
  • High in situ rat intestinal permeability of artemisinin unaffected by multiple dosing and with no evidence of P-glycoprotein involvement.

    Svensson, U., Sandstrom, R., Carlborg, Ö., Lennernas, H., Ashton, M. (1999). Drug Metabolism And Disposition, vol. 27, ss. 227-232
  • High in situ rat intestinal permeability of artemisinin unaffected bymultiple dosing and with no evidence of P-glycoprotein involvement.

    Svensson, U., Sandstrom, R., Carlborg, Ö., Lennernas, H., Ashton, M. (1999). Drug Metabolism And Disposition, vol. 27, ss. 227-232
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