Author

Mario Paciuc

Rice University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:eQTL / molecular QTL mapping· 1 Research Focus:fine-mapping· 1 Assay:GWAS summary statistics· 1 Organism:human· 1 Research Focus:polygenic risk· 1 Approach:statistical model· 1

Frequent Co-Authors

Bogdan PaşaniuciD· 1 shared Kangcheng HouiD· 1 shared Kathryn S. BurchiD· 1 shared Ruth JohnsoniD· 1 shared Sriram SankararamaniD· 1 shared

Activity by Year

2020-2020 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperGenetics

Bogdan PaşaniucORCID

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1 paper

Recent·Most cited

A scalable method for estimating the regional polygenicity of complex traits

Ruth Johnson, Kathryn S. Burch, Kangcheng Hou, Mario Paciuc, Bogdan Paşaniuc, Sriram Sankararaman

This paper introduces BEAVR, a scalable method to estimate regional polygenicity using GWAS effect sizes and LD information, showing it provides unbiased estimates compared to existing methods.

Lecture notes in computer science · Jan 1, 2020Peer-reviewedGenetics