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  1. 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

    Content type: Research Article

    Published on:

  2. 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

    Content type: Research Article

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  3. 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

    Content type: Research Article

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  4. 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

    Content type: Research Article

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  5. 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

    Content type: Research Article

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

  6. 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

    Content type: Research article

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  7. 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

    Content type: Short communication

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  8. 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

    Content type: Research Article

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  9. 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

    Content type: Research Article

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  10. 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

    Content type: Research Article

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  11. 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

    Content type: Research Article

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  12. 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

    Content type: Research Article

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  13. 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

    Content type: Research Article

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  14. 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

    Content type: Research Article

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  15. 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

    Content type: Research Article

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  16. 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

    Content type: Research Article

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  17. 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

    Content type: Research Article

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  18. 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

    Content type: Research Article

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  19. 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

    Content type: Research Article

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

  20. 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

    Content type: Research Article

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  21. 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

    Content type: Research Article

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  22. 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

    Content type: Research Article

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  23. 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

    Content type: Research Article

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  24. 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

    Content type: Research Article

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  25. 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

    Content type: Short communication

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  26. 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

    Content type: Research Article

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  27. 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

    Content type: Research Article

    Published on:

  28. 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

    Content type: Research Article

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  29. 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

    Content type: Research Article

    Published on:

  30. 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

    Content type: Research Article

    Published on:

  31. 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

    Content type: Research Article

    Published on:

  32. A better understanding of the genetic architecture of complex traits can contribute to improve genomic prediction. We hypothesized that genomic variants associated with mastitis and milk production traits in d...

    Authors: Lingzhao Fang, Goutam Sahana, Peipei Ma, Guosheng Su, Ying Yu, Shengli Zhang, Mogens Sandø Lund and Peter Sørensen

    Citation: Genetics Selection Evolution 2017 49:44

    Content type: Research Article

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  33. Genetic progress in selection for greater body mass and meat yield in poultry has been associated with an increase in gait problems which are detrimental to productivity and welfare. The incidence of suboptima...

    Authors: Brendan M. Duggan, Anne M. Rae, Dylan N. Clements and Paul M. Hocking

    Citation: Genetics Selection Evolution 2017 49:42

    Content type: Research Article

    Published on:

  34. Body size in sheep is an important indicator of productivity, growth and health as well as of environmental adaptation. It is a composite quantitative trait that has been studied with high-throughput genomic m...

    Authors: Antonios Kominakis, Ariadne L. Hager-Theodorides, Evangelos Zoidis, Aggeliki Saridaki, George Antonakos and George Tsiamis

    Citation: Genetics Selection Evolution 2017 49:41

    Content type: Research Article

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  35. Growth traits can be used as indicators of adaptation to sub-optimal conditions. The current study aimed at identifying quantitative trait loci (QTL) that control performance under variable temperature conditi...

    Authors: Ching-Yi Lien, Michèle Tixier-Boichard, Shih-Wen Wu, Woei-Fuh Wang, Chen Siang Ng and Chih-Feng Chen

    Citation: Genetics Selection Evolution 2017 49:39

    Content type: Research Article

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  36. The aim of this study was to analyse the mechanisms that underlie phenotypic quantitative trait loci (QTL) in overfed mule ducks by identifying co-localized proteomic QTL (pQTL). The QTL design consisted of th...

    Authors: Yoannah François, Alain Vignal, Caroline Molette, Nathalie Marty-Gasset, Stéphane Davail, Laurence Liaubet and Christel Marie-Etancelin

    Citation: Genetics Selection Evolution 2017 49:38

    Content type: Research Article

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  37. A host can adopt two response strategies to infection: resistance (reduce pathogen load) and tolerance (minimize impact of infection on performance). Both strategies may be under genetic control and could thus...

    Authors: Graham Lough, Hamed Rashidi, Ilias Kyriazakis, Jack C. M. Dekkers, Andrew Hess, Melanie Hess, Nader Deeb, Antti Kause, Joan K. Lunney, Raymond R. R. Rowland, Han A. Mulder and Andrea Doeschl-Wilson

    Citation: Genetics Selection Evolution 2017 49:37

    Content type: Research Article

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  38. The number of teats in pigs is related to a sow’s ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were ...

    Authors: Cheng Tan, Zhenfang Wu, Jiangli Ren, Zhuolin Huang, Dewu Liu, Xiaoyan He, Dzianis Prakapenka, Ran Zhang, Ning Li, Yang Da and Xiaoxiang Hu

    Citation: Genetics Selection Evolution 2017 49:35

    Content type: Research article

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  39. Metafounders are pseudo-individuals that encapsulate genetic heterozygosity and relationships within and across base pedigree populations, i.e. ancestral populations. This work addresses the estimation and us...

    Authors: Carolina A. Garcia-Baccino, Andres Legarra, Ole F. Christensen, Ignacy Misztal, Ivan Pocrnic, Zulma G. Vitezica and Rodolfo J. C. Cantet

    Citation: Genetics Selection Evolution 2017 49:34

    Content type: Research Article

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  40. In farmed Atlantic salmon, heritability for uniformity of body weight is low, indicating that the accuracy of estimated breeding values (EBV) may be low. The use of genomic information could be one way to incr...

    Authors: Panya Sae-Lim, Antti Kause, Marie Lillehammer and Han A. Mulder

    Citation: Genetics Selection Evolution 2017 49:33

    Content type: Research Article

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  41. Millions of genetic variants have been identified by population-scale sequencing projects, but subsets of these variants are needed for routine genomic predictions or genotyping arrays. Methods for selecting s...

    Authors: Paul M. VanRaden, Melvin E. Tooker, Jeffrey R. O’Connell, John B. Cole and Derek M. Bickhart

    Citation: Genetics Selection Evolution 2017 49:32

    Content type: Research Article

    Published on:

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