Author

Michael E Goddard

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· 1 Genomics· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alkes L Price· 1 shared Ben J Hayes· 1 shared Benoit Auvray· 1 shared Bonnie Berger· 1 shared Gemma M Jenkins· 1 shared George Tucker· 1 shared Iona M MacLeod· 1 shared James Kijas· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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1 shared paperGenetics

Alkes L Price

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2 papers

Recent·Most cited

Copy number variants in the sheep genome detected using multiple approaches

Gemma M Jenkins, Michael E Goddard, Mik Black, Rudiger Brauning, Benoit Auvray, Ken G Dodds, James Kijas, Noelle Cockett, John C McEwan

This study identifies 3,488 CNVRs in sheep using multiple methods, finding that whole genome sequencing provides the highest validation rate for CNVs.

bioRxiv · Apr 26, 2016Genomics

Two variance component model improves genetic prediction in family data sets

George Tucker, Po-Ru Loh, Iona M MacLeod, Ben J Hayes, Michael E Goddard, Bonnie Berger, Alkes L Price

This paper introduces a two variance component model that improves genetic prediction in family data by jointly modeling IBS sharing and pedigree structure, achieving higher prediction accuracy and correcting inflated test statistics.

bioRxiv · Jun 10, 2015 · PreprintGenetics