Author

S Hong Lee

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:GWAS / association mapping· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Alexander GuseviD· 1 shared Alkes L Price· 1 shared Anastasia Numan· 1 shared Andres MetspaluiD· 1 shared Andrew BakshiiD· 1 shared Anna K Kahler· 1 shared Benjamin M Neale· 1 shared Bjarni J Vilhjalmsson· 1 shared

Activity by Year

2014-2017 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Alexander GusevORCID

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2 papers

Recent·Most cited

Mega-analysis of 31,396 individuals from 6 countries uncovers strong gene-environment interaction for human fertility

Felix C Tropf, Renske M Verweij, Peter J van der Most, Gert Stulp, Andrew Bakshi, Daniel A Briley, Matthew Robinson, Anastasia Numan, Tonu Esko, Andres Metspalu, Sarah E. Medland, Nicholas G. Martin, Harold Snieder, S Hong Lee, Melinda C Mills

This study analyzes 31,396 individuals from six countries to show that genetic effects on fertility vary across time and space, with no shared genetic effects across environments.

Nature Human Behaviour · Sep 11, 2017Peer-reviewedGenetics

Regulatory variants explain much more heritability than coding variants across 11 common diseases

Alexander Gusev, S Hong Lee, Benjamin M Neale, Gosia Trynka, Bjarni J Vilhjalmsson, Hilary Finucane, Han Xu, Chongzhi Zang, Stephan Ripke, Eli Stahl, n/a Schizophrenia Working Group of the PGC, n/a SWE-SCZ Consortium, Anna K Kahler, Christina M Hultman, Shaun M Purcell, , Alkes L Price

The paper shows regulatory variants explain significantly more heritability than coding variants for 11 diseases, using imputed data across 218 cell types.

bioRxiv · Apr 21, 2014 · PreprintGenetics