Literature DB >> 25017103

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

Hans D Daetwyler1, Aurélien Capitan2, Hubert Pausch3, Paul Stothard4, Rianne van Binsbergen5, Rasmus F Brøndum6, Xiaoping Liao4, Anis Djari7, Sabrina C Rodriguez8, Cécile Grohs8, Diane Esquerré9, Olivier Bouchez9, Marie-Noëlle Rossignol10, Christophe Klopp7, Dominique Rocha8, Sébastien Fritz11, André Eggen8, Phil J Bowman12, David Coote12, Amanda J Chamberlain12, Charlotte Anderson13, Curt P VanTassell14, Ina Hulsegge5, Mike E Goddard15, Bernt Guldbrandtsen6, Mogens S Lund6, Roel F Veerkamp5, Didier A Boichard8, Ruedi Fries3, Ben J Hayes1.   

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.

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Year:  2014        PMID: 25017103     DOI: 10.1038/ng.3034

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  62 in total

1.  Accurate prediction of genetic values for complex traits by whole-genome resequencing.

Authors:  Theo Meuwissen; Mike Goddard
Journal:  Genetics       Date:  2010-03-22       Impact factor: 4.562

2.  novoSNP, a novel computational tool for sequence variation discovery.

Authors:  Stefan Weckx; Jurgen Del-Favero; Rosa Rademakers; Lieve Claes; Marc Cruts; Peter De Jonghe; Christine Van Broeckhoven; Peter De Rijk
Journal:  Genome Res       Date:  2005-03       Impact factor: 9.043

3.  Efficient methods to compute genomic predictions.

Authors:  P M VanRaden
Journal:  J Dairy Sci       Date:  2008-11       Impact factor: 4.034

4.  Multiple sequence alignment using ClustalW and ClustalX.

Authors:  Julie D Thompson; Toby J Gibson; Des G Higgins
Journal:  Curr Protoc Bioinformatics       Date:  2002-08

5.  Toward genomic prediction from whole-genome sequence data: impact of sequencing design on genotype imputation and accuracy of predictions.

Authors:  T Druet; I M Macleod; B J Hayes
Journal:  Heredity (Edinb)       Date:  2013-04-03       Impact factor: 3.821

6.  A radiographic, morphologic, biochemical and molecular analysis of a case of achondrogenesis type II resulting from substitution for a glycine residue (Gly691-->Arg) in the type II collagen trimer.

Authors:  G R Mortier; D J Wilkin; W R Wilcox; D L Rimoin; R S Lachman; D R Eyre; D H Cohn
Journal:  Hum Mol Genet       Date:  1995-02       Impact factor: 6.150

7.  Coat variation in the domestic dog is governed by variants in three genes.

Authors:  Edouard Cadieu; Mark W Neff; Pascale Quignon; Kari Walsh; Kevin Chase; Heidi G Parker; Bridgett M Vonholdt; Alison Rhue; Adam Boyko; Alexandra Byers; Aaron Wong; Dana S Mosher; Abdel G Elkahloun; Tyrone C Spady; Catherine André; K Gordon Lark; Michelle Cargill; Carlos D Bustamante; Robert K Wayne; Elaine A Ostrander
Journal:  Science       Date:  2009-08-27       Impact factor: 47.728

8.  Mutations in the helix termination motif of mouse type I IRS keratin genes impair the assembly of keratin intermediate filament.

Authors:  Shigekazu Tanaka; Ikuo Miura; Atsushi Yoshiki; Yoriko Kato; Haruka Yokoyama; Akiko Shinogi; Hiroshi Masuya; Shigeharu Wakana; Masaru Tamura; Toshihiko Shiroishi
Journal:  Genomics       Date:  2007-10-24       Impact factor: 5.736

9.  The Drosophila melanogaster Genetic Reference Panel.

Authors:  Trudy F C Mackay; Stephen Richards; Eric A Stone; Antonio Barbadilla; Julien F Ayroles; Dianhui Zhu; Sònia Casillas; Yi Han; Michael M Magwire; Julie M Cridland; Mark F Richardson; Robert R H Anholt; Maite Barrón; Crystal Bess; Kerstin Petra Blankenburg; Mary Anna Carbone; David Castellano; Lesley Chaboub; Laura Duncan; Zeke Harris; Mehwish Javaid; Joy Christina Jayaseelan; Shalini N Jhangiani; Katherine W Jordan; Fremiet Lara; Faye Lawrence; Sandra L Lee; Pablo Librado; Raquel S Linheiro; Richard F Lyman; Aaron J Mackey; Mala Munidasa; Donna Marie Muzny; Lynne Nazareth; Irene Newsham; Lora Perales; Ling-Ling Pu; Carson Qu; Miquel Ràmia; Jeffrey G Reid; Stephanie M Rollmann; Julio Rozas; Nehad Saada; Lavanya Turlapati; Kim C Worley; Yuan-Qing Wu; Akihiko Yamamoto; Yiming Zhu; Casey M Bergman; Kevin R Thornton; David Mittelman; Richard A Gibbs
Journal:  Nature       Date:  2012-02-08       Impact factor: 49.962

10.  Ongoing and future developments at the Universal Protein Resource.

Authors: 
Journal:  Nucleic Acids Res       Date:  2010-11-04       Impact factor: 16.971

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  315 in total

1.  The Impact of Genomic and Traditional Selection on the Contribution of Mutational Variance to Long-Term Selection Response and Genetic Variance.

Authors:  Herman A Mulder; Sang Hong Lee; Sam Clark; Ben J Hayes; Julius H J van der Werf
Journal:  Genetics       Date:  2019-08-20       Impact factor: 4.562

2.  Evaluating Sequence-Based Genomic Prediction with an Efficient New Simulator.

Authors:  Miguel Pérez-Enciso; Natalia Forneris; Gustavo de Los Campos; Andrés Legarra
Journal:  Genetics       Date:  2016-12-02       Impact factor: 4.562

3.  Detection and Classification of Hard and Soft Sweeps from Unphased Genotypes by Multilocus Genotype Identity.

Authors:  Alexandre M Harris; Nandita R Garud; Michael DeGiorgio
Journal:  Genetics       Date:  2018-10-12       Impact factor: 4.562

4.  Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data.

Authors:  Pierce Rafter; Deirdre C Purfield; Donagh P Berry; Andrew C Parnell; I Claire Gormley; J Francis Kearney; Mike P Coffey; Tara R Carthy
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

5.  Whole genome sequencing analysis of horse populations inhabiting the Korean Peninsula and Przewalski's horse.

Authors:  Ha-Seung Seong; Nam-Young Kim; Dae Cheol Kim; Nam-Hyun Hwang; Da-Hye Son; Jong Suh Shin; Joon-Hee Lee; Won-Hyong Chung; Jung-Woo Choi
Journal:  Genes Genomics       Date:  2019-04-02       Impact factor: 1.839

6.  A comprehensive biomedical variant catalogue based on whole genome sequences of 582 dogs and eight wolves.

Authors:  V Jagannathan; C Drögemüller; T Leeb
Journal:  Anim Genet       Date:  2019-09-05       Impact factor: 3.169

7.  Towards sequence-based genomic selection of cattle.

Authors:  Michel Georges
Journal:  Nat Genet       Date:  2014-08       Impact factor: 38.330

8.  The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data.

Authors:  Iona M MacLeod; Ben J Hayes; Michael E Goddard
Journal:  Genetics       Date:  2014-09-18       Impact factor: 4.562

9.  Development and validation of a small SNP panel for feed efficiency in beef cattle.

Authors:  M K Abo-Ismail; N Lansink; E Akanno; B K Karisa; J J Crowley; S S Moore; E Bork; P Stothard; J A Basarab; G S Plastow
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

10.  Targeted imputation of sequence variants and gene expression profiling identifies twelve candidate genes associated with lactation volume, composition and calving interval in dairy cattle.

Authors:  Lesley-Ann Raven; Benjamin G Cocks; Kathryn E Kemper; Amanda J Chamberlain; Christy J Vander Jagt; Michael E Goddard; Ben J Hayes
Journal:  Mamm Genome       Date:  2015-11-27       Impact factor: 2.957

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