Author

Julius van der Werf

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genetics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Research Focus:genome assembly· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Approach:mixed model· 1 Organism:mouse· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Sang Hong Lee· 2 shared Michael Goddard· 1 shared Naomi WrayiD· 1 shared W.M. Shalanee P. Weerasinghe· 1 shared

Activity by Year

2015-2017 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersGenetics

Sang Hong Lee

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2 papers

Recent·Most cited

A better design for stratified medicine based on genomic prediction

Sang Hong Lee, W.M. Shalanee P. Weerasinghe, Naomi Wray, Michael Goddard, Julius Van der Werf

This paper demonstrates that genomic prediction accuracy can be significantly improved by using smaller effective population sizes and closer relationships in discovery sets, supporting stratified medicine approaches.

Scientific Reports · Feb 9, 2017Peer-reviewedGenetics

MTG2: An efficient algorithm for multivariate linear mixed model analysis based on genomic information

Sang Hong Lee, Julius van der Werf

The paper introduces MTG2, an efficient algorithm for multivariate linear mixed model analysis using genomic data, showing speeds up to 1000 times faster than standard REML software.

bioRxiv · Dec 2, 2015Genetics