Author

Samuela Pollack

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

Frequent Co-Authors

Nick Patterson· 2 shared Tristan Hayeck· 2 shared Alexander Gusev· 1 shared Alexander GuseviD· 1 shared Alkes L. Price· 1 shared Alkes Price· 1 shared Bjarni Vilhjalmsson· 1 shared Guo-Bo Chen· 1 shared

Activity by Year

2015-2016 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersGenetics

Nick Patterson

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2 papers

Recent·Most cited

Mixed Model Association with Family-Biased Case-Control Ascertainment

Tristan Hayeck, Noah A. Zaitlen, Po-Ru Loh, Samuela Pollack, Alexander Gusev, Nick Patterson, Alkes L. Price

This paper introduces LT-Fam, a family-based association statistic that is robust to family-biased case-control ascertainment, showing improved calibration and power compared to existing methods.

bioRxiv · Apr 5, 2016 · PreprintGenetics

Mixed Model with Correction for Case-Control Ascertainment Increases Association Power

tristan hayeck, Noah Zaitlen, Po-Ru Loh, Bjarni Vilhjalmsson, Samuela Pollack, Alexander Gusev, Jian Yang, Guo-Bo Chen, Michael E. Goddard, Peter M. Visscher, Nick Patterson, Alkes Price

The paper introduces a new mixed model method for case-control studies that improves association power while controlling false positives, showing gains in power on real and simulated data.

The American Journal of Human Genetics · May 1, 2015Peer-reviewedGenetics