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  1. Non-linear Bayesian genomic prediction models such as BayesA/B/C/R involve iteration and mostly Markov chain Monte Carlo (MCMC) algorithms, which are computationally expensive, especially when whole-genome seq...

    Authors: Theo H. E. Meuwissen, Ulf G. Indahl and Jørgen Ødegård
    Citation: Genetics Selection Evolution 2017 49:94
  2. Inbreeding coefficients can be estimated either from pedigree data or from genomic data, and with genomic data, they are either global or local (when the linkage map is used). Recently, we developed a new hid...

    Authors: Marina Solé, Ann-Stephan Gori, Pierre Faux, Amandine Bertrand, Frédéric Farnir, Mathieu Gautier and Tom Druet
    Citation: Genetics Selection Evolution 2017 49:92
  3. Molecular data is now commonly used to predict breeding values (BV). Various methods to calculate genomic relationship matrices (GRM) have been developed, with some studies proposing regression of coefficients...

    Authors: Joanna J. Ilska, Theo H. E. Meuwissen, Andreas Kranis and John A. Woolliams
    Citation: Genetics Selection Evolution 2017 49:90
  4. Accurate genomic prediction requires a large reference population, which is problematic for traits that are expensive to measure. Traits related to milk protein composition are not routinely recorded due to co...

    Authors: Grum Gebreyesus, Mogens S. Lund, Bart Buitenhuis, Henk Bovenhuis, Nina A. Poulsen and Luc G. Janss
    Citation: Genetics Selection Evolution 2017 49:89
  5. Genomic selection (GS) promises to accelerate genetic gain in plant breeding programs especially for crop species such as cassava that have long breeding cycles. Practically, to implement GS in cassava breedin...

    Authors: Uche Godfrey Okeke, Deniz Akdemir, Ismail Rabbi, Peter Kulakow and Jean-Luc Jannink
    Citation: Genetics Selection Evolution 2017 49:88
  6. Pedigree-based management of genetic diversity in populations, e.g., using optimal contributions, involves computation of the http://static-content.springer.com/image/art%3A10.1186%2Fs12711-017-0363-9/12711_2017_363_Article_IEq1.gif

    Authors: Jean-Jacques Colleau, Isabelle Palhière, Silvia T. Rodríguez-Ramilo and Andres Legarra
    Citation: Genetics Selection Evolution 2017 49:87
  7. Curly horses present a variety of curl phenotypes that are associated with various degrees of curliness of coat, mane, tail and ear hairs. Their origin is still a matter of debate and several genetic hypothese...

    Authors: Caroline Morgenthaler, Mathieu Diribarne, Aurélien Capitan, Rachel Legendre, Romain Saintilan, Maïlys Gilles, Diane Esquerré, Rytis Juras, Anas Khanshour, Laurent Schibler and Gus Cothran
    Citation: Genetics Selection Evolution 2017 49:85
  8. Because very large numbers of single nucleotide polymorphisms (SNPs) are now available throughout the genome, they are particularly suitable for the detection of genomic regions where a reduction in heterozygo...

    Authors: Salvatore Mastrangelo, Marco Tolone, Maria T. Sardina, Gianluca Sottile, Anna M. Sutera, Rosalia Di Gerlando and Baldassare Portolano
    Citation: Genetics Selection Evolution 2017 49:84
  9. Domestication, breed formation and intensive selection have resulted in divergent cattle breeds that likely exhibit their own genomic signatures. In this study, we used genotypes from 27,612 autosomal single n...

    Authors: Heidi Signer-Hasler, Alexander Burren, Markus Neuditschko, Mirjam Frischknecht, Dorian Garrick, Christian Stricker, Birgit Gredler, Beat Bapst and Christine Flury
    Citation: Genetics Selection Evolution 2017 49:83
  10. Our aim was to identify genomic regions via genome-wide association studies (GWAS) to improve the predictability of genetic merit in Holsteins for 10 calving and 28 body conformation traits. Animals were genot...

    Authors: Mohammed K. Abo-Ismail, Luiz F. Brito, Stephen P. Miller, Mehdi Sargolzaei, Daniela A. Grossi, Steve S. Moore, Graham Plastow, Paul Stothard, Shadi Nayeri and Flavio S. Schenkel
    Citation: Genetics Selection Evolution 2017 49:82
  11. With the aim of identifying selection signals in three Merino sheep lines that are highly specialized for fine wool production (Australian Industry Merino, Australian Merino and Australian Poll Merino) and con...

    Authors: Beatriz Gutiérrez-Gil, Cristina Esteban-Blanco, Pamela Wiener, Praveen Krishna Chitneedi, Aroa Suarez-Vega and Juan-Jose Arranz
    Citation: Genetics Selection Evolution 2017 49:81
  12. Because of their high economic importance, growth traits in fish are under continuous improvement. For growth traits that are recorded at multiple time-points in life, the use of univariate and multivariate an...

    Authors: Jie He, Yunfeng Zhao, Jingli Zhao, Jin Gao, Dandan Han, Pao Xu and Runqing Yang
    Citation: Genetics Selection Evolution 2017 49:80
  13. Genomic evaluation is used to predict direct genomic values (DGV) for selection candidates in breeding programs, but also to estimate allele substitution effects (ASE) of single nucleotide polymorphisms (SNPs)...

    Authors: Aniek C. Bouwman, Ben J. Hayes and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2017 49:79
  14. This paper describes a heuristic method for allocating low-coverage sequencing resources by targeting haplotypes rather than individuals. Low-coverage sequencing assembles high-coverage sequence information fo...

    Authors: Roger Ros-Freixedes, Serap Gonen, Gregor Gorjanc and John M. Hickey
    Citation: Genetics Selection Evolution 2017 49:78
  15. Copy number variations (CNV) are known to play a major role in genetic variability and disease pathogenesis in several species including cattle. In this study, we report the identification and characterization...

    Authors: Rabia Letaief, Emmanuelle Rebours, Cécile Grohs, Cédric Meersseman, Sébastien Fritz, Lidwine Trouilh, Diane Esquerré, Johanna Barbieri, Christophe Klopp, Romain Philippe, Véronique Blanquet, Didier Boichard, Dominique Rocha and Mekki Boussaha
    Citation: Genetics Selection Evolution 2017 49:77
  16. Genomic prediction of purebred animals for crossbred performance can be based on a model that estimates effects of single nucleotide polymorphisms (SNPs) in purebreds on crossbred performance. For crossbred pe...

    Authors: Claudia A. Sevillano, Jeremie Vandenplas, John W. M. Bastiaansen, Rob Bergsma and Mario P. L. Calus
    Citation: Genetics Selection Evolution 2017 49:75

    The Correction to this article has been published in Genetics Selection Evolution 2017 49:93

  17. In statistical genetics, an important task involves building predictive models of the genotype–phenotype relationship to attribute a proportion of the total phenotypic variance to the variation in genotypes. M...

    Authors: Deniz Akdemir, Jean-Luc Jannink and Julio Isidro-Sánchez
    Citation: Genetics Selection Evolution 2017 49:74
  18. Cases of albinism have been reported in several species including cattle. So far, research has identified many genes that are involved in this eye-catching phenotype. Thus, when two paternal Braunvieh half-sib...

    Authors: Sophie Rothammer, Elisabeth Kunz, Doris Seichter, Stefan Krebs, Martina Wassertheurer, Ruedi Fries, Gottfried Brem and Ivica Medugorac
    Citation: Genetics Selection Evolution 2017 49:73
  19. There is increasing interest in the definition, measurement and use of traits associated with water use and drinking behaviour, mainly because water is a finite resource and its intake is an important part of ...

    Authors: Julija Rusakovica, Valentin D. Kremer, Thomas Plötz, Paige Rohlf and Ilias Kyriazakis
    Citation: Genetics Selection Evolution 2017 49:72
  20. Pigs were domesticated independently in Eastern and Western Eurasia early during the agricultural revolution, and have since been transported and traded across the globe. Here, we present a worldwide survey on...

    Authors: Bin Yang, Leilei Cui, Miguel Perez-Enciso, Aleksei Traspov, Richard P. M. A. Crooijmans, Natalia Zinovieva, Lawrence B. Schook, Alan Archibald, Kesinee Gatphayak, Christophe Knorr, Alex Triantafyllidis, Panoraia Alexandri, Gono Semiadi, Olivier Hanotte, Deodália Dias, Peter Dovč…
    Citation: Genetics Selection Evolution 2017 49:71

    The Correction to this article has been published in Genetics Selection Evolution 2020 52:30

  21. The increasing availability of whole-genome sequence data is expected to increase the accuracy of genomic prediction. However, results from simulation studies and analysis of real data do not always show an in...

    Authors: Irene van den Berg, Phil J. Bowman, Iona M. MacLeod, Ben J. Hayes, Tingting Wang, Sunduimijid Bolormaa and Mike E. Goddard
    Citation: Genetics Selection Evolution 2017 49:70
  22. In recent years, the commercial importance of changes in muscle function of broiler chickens and of the corresponding effects on meat quality has increased. Furthermore, broilers are more sensitive to heat str...

    Authors: Imran Zahoor, Dirk-Jan de Koning and Paul M. Hocking
    Citation: Genetics Selection Evolution 2017 49:69
  23. Genome-wide association studies (GWAS) were performed at the sequence level to identify candidate mutations that affect the expression of six major milk proteins in Montbéliarde (MON), Normande (NOR), and Hols...

    Authors: Marie-Pierre Sanchez, Armelle Govignon-Gion, Pascal Croiseau, Sébastien Fritz, Chris Hozé, Guy Miranda, Patrice Martin, Anne Barbat-Leterrier, Rabia Letaïef, Dominique Rocha, Mickaël Brochard, Mekki Boussaha and Didier Boichard
    Citation: Genetics Selection Evolution 2017 49:68
  24. Smallholder dairy farming in much of the developing world is based on the use of crossbred cows that combine local adaptation traits of indigenous breeds with high milk yield potential of exotic dairy breeds. ...

    Authors: Eva M. Strucken, Hawlader A. Al-Mamun, Cecilia Esquivelzeta-Rabell, Cedric Gondro, Okeyo A. Mwai and John P. Gibson
    Citation: Genetics Selection Evolution 2017 49:67
  25. The effect of epistasis on response to selection is a highly debated topic. Here, we investigated the impact of epistasis on response to sequence-based selection via genomic best linear prediction (GBLUP) in a...

    Authors: Natalia S. Forneris, Zulma G. Vitezica, Andres Legarra and Miguel Pérez-Enciso
    Citation: Genetics Selection Evolution 2017 49:66
  26. The rapid adoption of genomic selection is due to two key factors: availability of both high-throughput dense genotyping and statistical methods to estimate and predict breeding values. The development of such...

    Authors: Oscar O. M. Iheshiulor, John A. Woolliams, Morten Svendsen, Trygve Solberg and Theo H. E. Meuwissen
    Citation: Genetics Selection Evolution 2017 49:63
  27. The application of genomic selection to sheep breeding could lead to substantial increases in profitability of wool production due to the availability of accurate breeding values from single nucleotide polymor...

    Authors: Sunduimijid Bolormaa, Andrew A. Swan, Daniel J. Brown, Sue Hatcher, Nasir Moghaddar, Julius H. van der Werf, Michael E. Goddard and Hans D. Daetwyler
    Citation: Genetics Selection Evolution 2017 49:62
  28. Residual feed intake (RFI) was investigated as a measure of feed efficiency in a breeding population of Litopenaeus vannamei. Shrimp from 34 families were housed individually and feed efficiency and growth traits...

    Authors: Ping Dai, Sheng Luan, Xia Lu, Kun Luo, Xianhong Meng, Baoxiang Cao and Jie Kong
    Citation: Genetics Selection Evolution 2017 49:61
  29. Whole-genome sequencing and imputation methodologies have enabled the study of the effects of genomic variants with low to very low minor allele frequency (MAF) on variation in complex traits. Our objective wa...

    Authors: Qianqian Zhang, Mario P. L. Calus, Bernt Guldbrandtsen, Mogens Sandø Lund and Goutam Sahana
    Citation: Genetics Selection Evolution 2017 49:60
  30. Much effort is put into identifying causative quantitative trait nucleotides (QTN) in animal breeding, empowered by the availability of dense single nucleotide polymorphism (SNP) information. Genomic selectio...

    Authors: Breno O. Fragomeni, Daniela A. L. Lourenco, Yutaka Masuda, Andres Legarra and Ignacy Misztal
    Citation: Genetics Selection Evolution 2017 49:59

    The Erratum to this article has been published in Genetics Selection Evolution 2017 49:65

  31. Most rabbit production farms apply feed restriction at fattening because of its protective effect against digestive diseases that affect growing rabbits. However, it leads to competitive behaviour between cage...

    Authors: Miriam Piles, Ingrid David, Josep Ramon, Laurianne Canario, Oriol Rafel, Mariam Pascual, Mohamed Ragab and Juan P. Sánchez
    Citation: Genetics Selection Evolution 2017 49:58
  32. Lethal recessive genetic variants are maintained at relatively low frequencies in a population in the heterozygous state, but by definition are fatal and therefore unobserved in the homozygous state. Since hap...

    Authors: David M. Howard, Ricardo Pong-Wong, Pieter W. Knap and John A. Woolliams
    Citation: Genetics Selection Evolution 2017 49:57
  33. Enhancers are non-coding DNA sequences, which when they are bound by specific proteins increase the level of gene transcription. Enhancers activate unique gene expression patterns within cells of different typ...

    Authors: Min Wang, Timothy P. Hancock, Iona M. MacLeod, Jennie E. Pryce, Benjamin G. Cocks and Benjamin J. Hayes
    Citation: Genetics Selection Evolution 2017 49:56
  34. Fitting covariates representing the number of haplotype alleles rather than single nucleotide polymorphism (SNP) alleles may increase genomic prediction accuracy if linkage disequilibrium between quantitative ...

    Authors: Melanie Hess, Tom Druet, Andrew Hess and Dorian Garrick
    Citation: Genetics Selection Evolution 2017 49:54
  35. Infectious diseases in farm animals affect animal health, decrease animal welfare and can affect human health. Selection and breeding of host individuals with desirable traits regarding infectious diseases can...

    Authors: Floor Biemans, Mart C. M. de Jong and Piter Bijma
    Citation: Genetics Selection Evolution 2017 49:53
  36. The history of pig populations in Africa remains controversial due to insufficient evidence from archaeological and genetic data. Previously, a Western ancestry for West African pigs was reported based on loci...

    Authors: Adeniyi C. Adeola, Olufunke O. Oluwole, Bukola M. Oladele, Temilola O. Olorungbounmi, Bamidele Boladuro, Sunday C. Olaogun, Lotanna M. Nneji, Oscar J. Sanke, Philip M. Dawuda, Ofelia G. Omitogun, Laurent Frantz, Robert W. Murphy, Hai-Bing Xie, Min-Sheng Peng and Ya-Ping Zhang
    Citation: Genetics Selection Evolution 2017 49:52
  37. Breed-specific effects are observed when the same allele of a given genetic marker has a different effect depending on its breed origin, which results in different allele substitution effects across breeds. In...

    Authors: Marcos S. Lopes, Henk Bovenhuis, André M. Hidalgo, Johan A. M. van Arendonk, Egbert F. Knol and John W. M. Bastiaansen
    Citation: Genetics Selection Evolution 2017 49:51
  38. Cattle resistance to ticks is known to be under genetic control with a complex biological mechanism within and among breeds. Our aim was to identify genomic segments and tag single nucleotide polymorphisms (SN...

    Authors: Bruna P. Sollero, Vinícius S. Junqueira, Cláudia C. G. Gomes, Alexandre R. Caetano and Fernando F. Cardoso
    Citation: Genetics Selection Evolution 2017 49:49
  39. In recent years, there has been an increasing interest in the genetic determination of environmental variance. In the case of litter size, environmental variance can be related to the capacity of animals to ad...

    Authors: Agustín Blasco, Marina Martínez-Álvaro, Maria-Luz García, Noelia Ibáñez-Escriche and María-José Argente
    Citation: Genetics Selection Evolution 2017 49:48
  40. This paper describes a method, called AlphaSeqOpt, for the allocation of sequencing resources in livestock populations with existing phased genomic data to maximise the ability to phase and impute sequenced ha...

    Authors: Serap Gonen, Roger Ros-Freixedes, Mara Battagin, Gregor Gorjanc and John M. Hickey
    Citation: Genetics Selection Evolution 2017 49:47
  41. Haplotype reconstruction (phasing) is an essential step in many applications, including imputation and genomic selection. The best phasing methods rely on both familial and linkage disequilibrium (LD) informat...

    Authors: Pierre Faux and Tom Druet
    Citation: Genetics Selection Evolution 2017 49:46
  42. Optimum contribution selection (OCS) is effective for increasing genetic gain, controlling the rate of inbreeding and enables maintenance of genetic diversity. However, this diversity may be caused by high mig...

    Authors: Yu Wang, Jörn Bennewitz and Robin Wellmann
    Citation: Genetics Selection Evolution 2017 49:45

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