Author

Kelsey E. Grinde

University of WashingtonORCID 0000-0001-8306-9238Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Alex P. ReineriD· 3 shared Tamar SoferiD· 2 shared Timothy A. ThorntoniD· 2 shared Aladdin H. ShadyabiD· 1 shared Brian L. BrowningiD· 1 shared Cathy C. LaurieiD· 1 shared Cecelia A. LaurieiD· 1 shared Dmitry ShunginiD· 1 shared

Activity by Year

2018-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 28 mutual co-author links

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3 shared papersGenetics

Alex P. ReinerORCID

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3 papers

Recent·Most cited

GeneticsPLoS GeneticsPeer-reviewedDec 16, 2024

Adjusting for principal components can induce spurious associations in genome-wide association studies in admixed populations

Kelsey E. Grinde, Brian L. Browning, Alex P. Reiner…·Sharon R. Browning

This study shows that adjusting for principal components in GWAS of admixed populations can lead to biased results and spurious associations due to collider bias.

33 citationstop 1%

humanwhole-genome sequencing

𝕏 PostBluesky

GeneticsGenetic EpidemiologyPeer-reviewedJan 17, 2019

A Fully-Adjusted Two-Stage Procedure for Rank Normalization in Genetic Association Studies

Tamar Sofer, Xiuwen Zheng, Stephanie M. Gogarten…·Kenneth M. Rice

The paper introduces a fully-adjusted two-stage method for rank normalization in genetic association studies to reduce Type I errors and improve power by adjusting for covariates in both stages.

87 citationstop 2%

whole-genome sequencingstatistical model

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GeneticsGenetic EpidemiologyPeer-reviewedOct 15, 2018

Generalizing Genetic Risk Scores from Europeans to Hispanics/Latinos

Kelsey E. Grinde, Qibin Qi, Timothy A. Thornton…·Tamar Sofer

This study compares methods for constructing genetic risk scores in Hispanics/Latinos using European ancestry GWAS results and finds that using Hispanic/Latino GWASs for SNP weights improves performance.

103 citationstop 2%

humanGWAS summary statistics

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