Evidence map›Paper›PMID 25017103›Full record

ArticleNature genetics2014

Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.

Hans D Daetwyler, Aurélien Capitan, Hubert Pausch, Paul Stothard, Rianne van Binsbergen, Rasmus F Brøndum, Xiaoping Liao, Anis Djari, Sabrina C Rodriguez, Cécile Grohs and 20 more

Abstract read
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In one paragraph

Article in Nature genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 472 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
472citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

472 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sequence-based GWAS meta-analyses for beef production traits.Genetics, selection, evolution : GSE · 2023
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  17. Effect of methylation on genome mutability in cattle.Genetics, selection, evolution : GSE · 2026
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412 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Hans D Daetwyler1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia. [3] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia.
Aurélien Capitan1] Institut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France. [2] Union Nationale des Coopératives d'Elevage et d'Insémination Animale, Paris, France.
Hubert PauschChair of Animal Breeding, Technische Universitaet Muenchen, Freising-Weihenstephan, Germany.
Paul StothardDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Rianne van BinsbergenAnimal Breeding and Genomics Centre, Wageningen University and Research Centre, Livestock Research, Wageningen, the Netherlands.
Rasmus F BrøndumCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.
Xiaoping LiaoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Anis DjariInstitut National de la Recherche Agronomique (INRA), Sigenae Bioinformatics Group, UR875, Castanet, France.
Sabrina C RodriguezInstitut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Cécile GrohsInstitut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Diane EsquerréInstitut National de la Recherche Agronomique (INRA), Get-Plage, UMR 444 Laboratoire de Génétique Cellulaire, Castanet, France.
Olivier BouchezInstitut National de la Recherche Agronomique (INRA), Get-Plage, UMR 444 Laboratoire de Génétique Cellulaire, Castanet, France.
Marie-Noëlle RossignolLABOGENA, Jouy-en-Josas, France.
Christophe KloppInstitut National de la Recherche Agronomique (INRA), Sigenae Bioinformatics Group, UR875, Castanet, France.
Dominique RochaInstitut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Sébastien FritzUnion Nationale des Coopératives d'Elevage et d'Insémination Animale, Paris, France.
André EggenInstitut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Phil J Bowman1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia.
David Coote1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia.
Amanda J Chamberlain1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia.
Charlotte AndersonBiosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia.
Curt P VanTassellUS Department of Agriculture, Agricultural Research Service (USDA-ARS), Animal and Natural Resources Institute, Bovine Functional Genomics Laboratory, BARC-East, Beltsville, Maryland, USA.
Ina HulseggeAnimal Breeding and Genomics Centre, Wageningen University and Research Centre, Livestock Research, Wageningen, the Netherlands.
Mike E Goddard1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia. [3] Faculty of Land and Food Resources, University of Melbourne, Parkville, Victoria, Australia.
Bernt GuldbrandtsenCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.
Mogens S LundCenter for Quantitative Genetics and Genomics, Department of Molecular Biology and Genetics, Aarhus University, Tjele, Denmark.
Roel F VeerkampAnimal Breeding and Genomics Centre, Wageningen University and Research Centre, Livestock Research, Wageningen, the Netherlands.
Didier A BoichardInstitut National de la Recherche Agronomique (INRA), UMR 1313 Génétique Animale et Biologie Intégrative, Jouy-en-Josas, France.
Ruedi FriesChair of Animal Breeding, Technische Universitaet Muenchen, Freising-Weihenstephan, Germany.
Ben J Hayes1] Biosciences Research Division, Department of Environment and Primary Industries, Bundoora, Victoria, Australia. [2] School of Applied Systems Biology, La Trobe University, Bundoora, Victoria, Australia. [3] Dairy Futures Cooperative Research Centre, Bundoora, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 1000 bull genomes project supports the goal of accelerating the rates of genetic gain in domestic cattle while at the same time considering animal health and welfare by providing the annotated sequence variants and genotypes of key ancestor bulls. In the first phase of the 1000 bull genomes project, we sequenced the whole genomes of 234 cattle to an average of 8.3-fold coverage. This sequencing includes data for 129 individuals from the global Holstein-Friesian population, 43 individuals from the Fleckvieh breed and 15 individuals from the Jersey breed. We identified a total of 28.3 million variants, with an average of 1.44 heterozygous sites per kilobase for each individual. We demonstrate the use of this database in identifying a recessive mutation underlying embryonic death and a dominant mutation underlying lethal chrondrodysplasia. We also performed genome-wide association studies for milk production and curly coat, using imputed sequence variants, and identified variants associated with these traits in cattle.

Indexed as

GenomeAmino Acid SequenceAnimalsCattleGenome-Wide Association StudyGenotypeMaleMolecular Sequence DataPolymorphism, Single NucleotideSequence Homology, Amino Acid

Identifiers

PMID25017103

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.