Search Results - "Janss, Luc L."

Optimizing Training Population Size and Genotyping Strategy for Genomic Prediction Using Association Study Results and Pedigree Information. A Case of Study in Advanced Wheat Breeding Lines by Cericola, Fabio, Jahoor, Ahmed, Orabi, Jihad, Andersen, Jeppe R, Janss, Luc L, Jensen, Just

“…Wheat breeding programs generate a large amount of variation which cannot be completely explored because of limited phenotyping throughput. Genomic prediction…”
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A comparison of multivariate genome-wide association methods by Galesloot, Tessel E, van Steen, Kristel, Kiemeney, Lambertus A L M, Janss, Luc L, Vermeulen, Sita H

“…Joint association analysis of multiple traits in a genome-wide association study (GWAS), i.e. a multivariate GWAS, offers several advantages over analyzing…”
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Genome-wide association and biological pathway analysis for milk-fat composition in Danish Holstein and Danish Jersey cattle by Buitenhuis, Bart, Janss, Luc L G, Poulsen, Nina A, Larsen, Lotte B, Larsen, Mette K, Sørensen, Peter

“…The milk fat profile of the Danish Holstein (DH) and Danish Jersey (DJ) show clear differences. Identification of the genomic regions, genes and biological…”
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Genome-Wide Association Studies and Comparison of Models and Cross-Validation Strategies for Genomic Prediction of Quality Traits in Advanced Winter Wheat Breeding Lines by Kristensen, Peter S, Jahoor, Ahmed, Andersen, Jeppe R, Cericola, Fabio, Orabi, Jihad, Janss, Luc L, Jensen, Just

“…The aim of the this study was to identify SNP markers associated with five important wheat quality traits (grain protein content, Zeleny sedimentation, test…”
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Genomic Selection in Cereal Breeding by Robertsen, Charlotte, Hjortshøj, Rasmus, Janss, Luc

“…Genomic Selection (GS) is a method in plant breeding to predict the genetic value of untested lines based on genome-wide marker data. The method has been…”
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Association studies using family pools of outcrossing crops based on allele-frequency estimates from DNA sequencing by Ashraf, Bilal H, Jensen, Just, Asp, Torben, Janss, Luc L

“…KEY MESSAGE : We propose a method in which GBS data can be conveniently analyzed without calling genotypes. F2 families are frequently used in breeding of…”
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Effect of genomic selection and genotyping strategy on estimation of variance components in animal models using different relationship matrices by Wang, Lei, Janss, Luc L, Madsen, Per, Henshall, John, Huang, Chyong-Huoy, Marois, Danye, Alemu, Setegn, Sarensen, AC, Jensen, Just

“…Abstract Background The traditional way to estimate variance components (VC) is based on the animal model using a pedigree-based relationship matrix ( A )…”
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Heterogeneity of Genetic Modifiers Ensures Normal Cardiac Development by WINSTON, Julia B, ERLICH, Jonathan M, JAY, Patrick Y, GREEN, Courtney A, ALUKO, Ashley, KAISER, Kristine A, TAKEMATSU, Mai, BARLOW, Robert S, SUREKA, Ashish O, LAPAGE, Martin J, JANSS, Luc L

“…Mutations of the transcription factor Nkx2-5 cause pleiotropic heart defects with incomplete penetrance. This variability suggests that additional factors can…”
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From genetical genomics to systems genetics: potential applications in quantitative genomics and animal breeding by Kadarmideen, Haja N, von Rohr, Peter, Janss, Luc L G

“…This article reviews methods of integration of transcriptomics (and equally proteomics and metabolomics), genetics, and genomics in the form of systems…”
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Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat by Tsai, Hsin-Yuan, Janss, Luc L., Andersen, Jeppe R., Orabi, Jihad, Jensen, Jens D., Jahoor, Ahmed, Jensen, Just

“…Genome-wide association study (GWAS) and genomic prediction (GP) are extensively employed to accelerate genetic gain and identify QTL in plant breeding. In…”
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Evidence of a Major Gene From Bayesian Segregation Analyses of Liability to Osteochondral Diseases in Pigs by Kadarmideen, Haja N, Janss, Luc L. G

“…Bayesian segregation analyses were used to investigate the mode of inheritance of osteochondral lesions (osteochondrosis, OC) in pigs. Data consisted of 1163…”
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The giant diploid faba genome unlocks variation in a global protein crop by Jayakodi, Murukarthick, Golicz, Agnieszka A., Kreplak, Jonathan, Fechete, Lavinia I., Angra, Deepti, Bednář, Petr, Bornhofen, Elesandro, Zhang, Hailin, Boussageon, Raphaël, Kaur, Sukhjiwan, Cheung, Kwok, Čížková, Jana, Gundlach, Heidrun, Hallab, Asis, Imbert, Baptiste, Keeble-Gagnère, Gabriel, Koblížková, Andrea, Kobrlová, Lucie, Krejčí, Petra, Mouritzen, Troels W., Neumann, Pavel, Nadzieja, Marcin, Nielsen, Linda Kærgaard, Novák, Petr, Orabi, Jihad, Padmarasu, Sudharsan, Robertson-Shersby-Harvie, Tom, Robledillo, Laura Ávila, Schiemann, Andrea, Tanskanen, Jaakko, Törönen, Petri, Warsame, Ahmed O., Wittenberg, Alexander H. J., Himmelbach, Axel, Aubert, Grégoire, Courty, Pierre-Emmanuel, Doležel, Jaroslav, Holm, Liisa U., Janss, Luc L., Khazaei, Hamid, Macas, Jiří, Mascher, Martin, Smýkal, Petr, Snowdon, Rod J., Stein, Nils, Stoddard, Frederick L., Stougaard, Jens, Tayeh, Nadim, Torres, Ana M., Usadel, Björn, Schubert, Ingo, O’Sullivan, Donal Martin, Schulman, Alan H., Andersen, Stig Uggerhøj

“…Increasing the proportion of locally produced plant protein in currently meat-rich diets could substantially reduce greenhouse gas emissions and loss of…”
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Population and systems genetics analyses of cortisol in pigs divergently selected for stress by Kadarmideen, Haja N, Janss, Luc L. G

“…1 Institute of Animal Sciences, Swiss Federal Institute of Technology, ETH-Zentrum, Zurich, Switzerland 2 Commonwealth Scientific and Industrial Research…”
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Detection of quantitative trait loci for backfat thickness and intramuscular fat content in pigs (Sus scrofa) by Koning, D.J. de, Janss, L.L.G, Rattink, A.P, Oers, P.A.M. van, Vries, B.J. de, Groenen, M.A.M, Poel, J.J. van der, Groot, P.N. de, Brascamp, E.W, Arendonk, J.A.M. van

“…In an experimental cross between Meishan and Dutch Large White and Landrace lines, 619 F(2) animals and their parents were typed for molecular markers covering…”
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Estimating genomic heritabilities at the level of family-pool samples of perennial ryegrass using genotyping-by-sequencing by Ashraf, Bilal Hassan, Byrne, Stephen, Fé, Dario, Czaban, Adrian, Asp, Torben, Pedersen, Morten G., Lenk, Ingo, Roulund, Niels, Didion, Thomas, Jensen, Christian S., Jensen, Just, Janss, Luc L.

“…KEYMESSAGE : By using the genotyping-by-sequencing method, it is feasible to characterize genomic relationships directly at the level of family pools and to…”
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Biochemical pathways analysis of microarray results: regulation of myogenesis in pigs by Te Pas, Marinus F W, Hulsegge, Ina, Coster, Albart, Pool, Marco H, Heuven, Henri H, Janss, Luc L G

“…Combining microarray results and biological pathway information will add insight into biological processes. Pathway information is widely available in…”
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Author Correction: Genomic prediction and GWAS of yield, quality and disease-related traits in spring barley and winter wheat by Tsai, Hsin-Yuan, Janss, Luc L., Andersen, Jeppe R., Orabi, Jihad, Jensen, Jens D., Jahoor, Ahmed, Jensen, Just

“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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Exploring causal networks of bovine milk fatty acids in a multivariate mixed model context by Bouwman, Aniek C, Valente, Bruno D, Janss, Luc L G, Bovenhuis, Henk, Rosa, Guilherme J M

“…Knowledge regarding causal relationships among traits is important to understand complex biological systems. Structural equation models (SEM) can be used to…”
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Efficiency of population structures for mapping of Mendelian and imprinted quantitative trait loci in outbred pigs using variance component methods by HEUVEN, Henri C. M, BOVENHUIS, Henk, JANSS, Luc L. G, VAN ARENDONK, Johan A. M

“…In a simulation study different designs for a pure line pig population were compared for efficiency of mapping QTL using the variance component method…”
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Efficiency of genomic selection using Bayesian multi-marker models for traits selected to reflect a wide range of heritabilities and frequencies of detected quantitative traits loci in mice by Kapell, Dagmar N R G, Sorensen, Daniel, Su, Guosheng, Janss, Luc L G, Ashworth, Cheryl J, Roehe, Rainer

“…Genomic selection uses dense single nucleotide polymorphisms (SNP) markers to predict breeding values, as compared to conventional evaluations which estimate…”
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