Author

Yiqi Yao

Duke University

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

Frequent Co-Authors

Alejandro OchoaiD· 2 shared

Activity by Year

2019-2023 · peak 1/yr

2 papers

Recent·Most cited

Limitations of principal components in quantitative genetic association models for human studies

Yiqi Yao, Alejandro Ochoa

This study compares PCA and LMM in genetic association models, finding LMM outperforms PCA, especially in handling complex relatedness and environmental effects in multiethnic human data.

eLife · May 4, 2023Peer-reviewedGenetics

Testing the effectiveness of principal components in adjusting for relatedness in genetic association studies

Yiqi Yao, Alejandro Ochoa

This study compares PCA and LMM for adjusting relatedness in genetic association studies, finding PCA performs well with large samples and no close relatives.

bioRxiv · Nov 29, 2019 · PreprintGenetics