Author

Matthew R Robinson

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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Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Guo-Bo Chen· 2 shared Sang Hong Lee· 2 shared Zhi-Xiang Zhu· 2 shared Adam E Locke· 1 shared Andrew R Wood· 1 shared Beben Benyamin· 1 shared Damien C Croteau-Chonka· 1 shared Felix R Day· 1 shared

Activity by Year

2015-2015 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersGenetics

Guo-Bo Chen

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2 papers

Recent·Most cited

Across-cohort QC analyses of genome-wide association study summary statistics from complex traits

Guo-Bo Chen, Sang Hong Lee, Matthew R Robinson, Maciej Trzaskowski, Zhi-Xiang Zhu, Thomas W Winkler, Felix R Day, Damien C Croteau-Chonka, Andrew R Wood, Adam E Locke, Zoltán Kutalik, Ruth J F Loos, Timothy M Frayling, Joel N Hirschhorn, Jian Yang, , Peter M Visscher

This study introduces metrics and tools to assess quality control in genome-wide association meta-analyses using summary statistics from multiple cohorts.

bioRxiv · Dec 6, 2015 · PreprintGenetics

EigenGWAS: finding loci under selection through genome-wide association studies of eigenvectors in structured populations

Guo-Bo Chen, Sang Hong Lee, Zhi-Xiang Zhu, Beben Benyamin, Matthew R Robinson

EigenGWAS uses GWAS on eigenvectors to detect selection signals in structured populations, identifying loci under selection along ancestry gradients.

bioRxiv · Nov 17, 2015Genetics