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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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Jian YangiD· 2 shared Alexander GuseviD· 1 shared Alkes Price· 1 shared Bjarni Vilhjalmsson· 1 shared Guo-Bo Chen· 1 shared Naomi R. WrayiD· 1 shared Nick Patterson· 1 shared Noah ZaitleniD· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetics

Jian YangORCID

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2 papers

Recent·Most cited

Commentary on "Limitations of GCTA as a solution to the missing heritability problem"

Jian Yang, Sang Hong Lee, Naomi R. Wray, Michael E. Goddard, Peter M Visscher

The paper refutes claims that GCTA cannot reliably estimate heritability, showing the results are consistent with GCTA theory.

Proceedings of the National Academy of Sciences · Jul 25, 2016Peer-reviewedGenetics

Mixed Model with Correction for Case-Control Ascertainment Increases Association Power

tristan hayeck, Noah Zaitlen, Po-Ru Loh, Bjarni Vilhjalmsson, Samuela Pollack, Alexander Gusev, Jian Yang, Guo-Bo Chen, Michael E. Goddard, Peter M. Visscher, Nick Patterson, Alkes Price

The paper introduces a new mixed model method for case-control studies that improves association power while controlling false positives, showing gains in power on real and simulated data.

The American Journal of Human Genetics · May 1, 2015Peer-reviewedGenetics