Author

Catherine Pihoker

University of WashingtonORCID 0000-0001-9074-7770Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Assay:GWAS summary statistics· 2 Research Focus:variant effect prediction· 2 Research Focus:GWAS / association mapping· 1 Research Focus:polygenic risk· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

Alisa Knodle ManningiD· 2 shared Jasmin DiversiD· 2 shared Lawrence M. DolaniD· 2 shared Adolfo CorreaiD· 1 shared Alanna C. MorrisoniD· 1 shared Alex P. ReineriD· 1 shared Allan R LinnebergiD· 1 shared Amanda Elliott· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Alisa Knodle ManningORCID

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3 papers

Recent·Most cited

Genetic & Genomic MedicineDiabetes CarePeer-reviewedJan 16, 2026

The impact of ancestry on performance of type 1 diabetes genetic risk scores: high discrimination performance is maintained in African ancestry populations, but population specific thresholds may improve risk prediction

Steven Squires, Jean-Claude Njabou Katte, Dana Dabelea…·Richard A. Oram

3 citationstop 2%

humanGWAS summary statistics

Genetic & Genomic MedicineBioinformaticsPeer-reviewedNov 30, 2023

Summary statistics from large-scale gene-environment interaction studies for re-analysis and meta-analysis

Duy T. Pham, Kenneth E. Westerman, Cong Pan…·Han Chen

The paper introduces two tools, REGEM and METAGEM, to analyze gene-environment interaction summary statistics from GWIS studies, enabling efficient re-analysis and meta-analysis.

4 citations

humanGWAS summary statistics

GeneticsbioRxivPreprintJul 31, 2018

Genetic discovery and translational decision support from exome sequencing of 20,791 type 2 diabetes cases and 24,440 controls from five ancestries

Jason A. Flannick, Josep Maria Mercader, Christian Fuchsberger…·Markku Laakso

This study identifies rare genetic variants associated with type 2 diabetes using exome sequencing of 20,791 cases and 24,440 controls, and provides a Bayesian framework to improve variant prioritization.

3 citations

humanwhole-exome sequencing