Author

Peter M Visscher

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 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:GWAS summary statistics· 2 Organism:human· 2 Approach:deep learning· 1 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Jian YangiD· 3 shared Sang Hong Lee· 2 shared Adam E Locke· 1 shared Alexander GuseviD· 1 shared Andrew R Wood· 1 shared Benjamin Neale· 1 shared Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery· 1 shared Bjarni Vilhjalmsson· 1 shared

Activity by Year

2015-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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3 shared papersGenetics

Jian YangORCID

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Author profile →

3 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

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

Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Bjarni Vilhjalmsson, Jian Yang, Hilary Kiyo Finucane, Alexander Gusev, Sara Lindstrom, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristian Hayeck, Hong-Hee Won, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study the Discovery, Sekar Kathiresan, , Nick J Patte

This paper introduces LDpred, a method that improves polygenic risk score accuracy by modeling linkage disequilibrium, showing increased R2 values in schizophrenia and multiple sclerosis datasets.

The American Journal of Human Genetics · Oct 1, 2015Peer-reviewedBioinformatics