M
M.S. Lund
Researcher at Aarhus University
Publications - 12
Citations - 1514
M.S. Lund is an academic researcher from Aarhus University. The author has contributed to research in topics: Population & Imputation (genetics). The author has an hindex of 12, co-authored 12 publications receiving 1329 citations.
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Journal ArticleDOI
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,R.F. Brøndum,Xiaoping Liao,Anis Djari,Sabrina Rodriguez,Cécile Grohs,Diane Esquerre,Olivier Bouchez,Marie-Noelle Rossignol,Christophe Klopp,Dominique Rocha,Sébastien Fritz,André Eggen,Phil J. Bowman,David Coote,Amanda J. Chamberlain,Charlotte Anderson,Curt P VanTassell,Ina Hulsegge,Michael E. Goddard,Bernt Guldbrandtsen,M.S. Lund,Roel F. Veerkamp,Didier Boichard,Ruedi Fries,Ben J. Hayes +29 more
TL;DR: 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.
Journal ArticleDOI
A common reference population from four European Holstein populations increases reliability of genomic predictions
M.S. Lund,Adrianus Pw de Roos,Alfred G de Vries,Tom Druet,Vincent Ducrocq,Sébastien Fritz,François Guillaume,Bernt Guldbrandtsen,Z Liu,R. Reents,Chris Schrooten,F Seefried,Guosheng Su +12 more
TL;DR: This paper assesses the increase in reliability achieved when combining four Holstein reference populations of 4000 bulls each from European breeding organizations, i.e. UNCEIA, VikingGenetics, DHV-VIT and CRV, into a single large reference population.
Journal ArticleDOI
Strategies for imputation to whole genome sequence using a single or multi-breed reference population in cattle
TL;DR: Using BEAGLE for pre-phasing and IMPUTE2 for imputation is a fast and accurate strategy to increase the size of the reference data and in turn the accuracy of imputation when only few animals are available.
Journal ArticleDOI
Genome‐wide association mapping for female fertility traits in Danish and Swedish Holstein cattle
TL;DR: The identification of fertility trait-associated SNPs and mapping of the corresponding QTL in small chromosomal regions reported here will facilitate searches for candidate genes and candidate polymorphisms.
Journal ArticleDOI
Comparison of different methods for imputing genome-wide marker genotypes in Swedish and Finnish Red Cattle
TL;DR: The results indicate that Beagle and IMPUTE2 provide the most robust and accurate imputation accuracies, but considering computing time and memory usage, FImpute is another alternative method.