Author

Brian Wolpin

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 Approach:statistical model· 2 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Research Focus:polygenic risk· 1

Frequent Co-Authors

Adeline SeowiD· 1 shared Alan R. SandersiD· 1 shared Alison P. KleiniD· 1 shared Baosen ZhouiD· 1 shared Bjarni Vilhjalmsson· 1 shared Chao Agnes HsiungiD· 1 shared Chirag Patel· 1 shared David Skurnik· 1 shared

Activity by Year

2016-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenetics

Adeline SeowORCID

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2 papers

Recent·Most cited

Playing Musical Chairs in Big Data to Reveal Variables Associations

Hugues Aschard, Bjarni Vilhjalmsson, Chirag Patel, David Skurnik, Jimmy Yu, Brian Wolpin, Peter Kraft, Noah Zaitlen

The paper introduces a method to enhance statistical power in detecting weak associations by leveraging correlated variables, showing equivalent power gains to increasing sample size.

bioRxiv · Jun 5, 2016 · PreprintGenetics

Winners curse correction and variable thresholding improve performance of polygenic risk modeling based on summary-level data from genome-wide association studies

Jianxin Shi, Ju-Hyun Park, Jubao Duan, Sonja Berndt, Winton Moy, Kai Yu, Lei Song, William Wheeler, Xing Hua, Debra Silverman, Montserrat Garcia-Closas, Chao Agnes Hsiung, Jonine D Figueroa, Victoria K Cortessis, Núria Malats, , Nilanjan Chatterjee

This paper improves polygenic risk scores by applying winners curse correction and variable thresholds to GWAS summary data, enhancing prediction accuracy for some diseases.

bioRxiv · Jan 10, 2016 · PreprintGenetics