Author

Aaron F. McDaid

SIB Swiss Institute of BioinformaticsORCID 0000-0002-5209-8869Unclaimed ORCID profile · follow to get notified of new preprints

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Aaron McDaid1 paper

Biology Disciplines

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Assay:GWAS summary statistics· 2 Approach:statistical model· 2 Research Focus:fine-mapping· 1 Organism:human· 1 Research Focus:imputation· 1

Frequent Co-Authors

Sina RüegeriD· 2 shared Zoltán KutalikiD· 2 shared

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2018-2018 · peak 2/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersGenomics

Sina RüegerORCID

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintOct 31, 2018

Improved imputation of summary statistics for realistic settings

Sina Rüeger, Aaron McDaid, Zoltán Kutalik

The paper improves summary statistics imputation by addressing ancestry admixture effects, showing benefits when reference panel size exceeds 1000.

6 citations

GWAS summary statisticsstatistical model

𝕏 PostBluesky

GenomicsPLoS GeneticsPeer-reviewedMay 21, 2018

Evaluation and application of summary statistic imputation to discover new height-associated loci

Sina Rüeger, Aaron F. McDaid, Zoltán Kutalik

This study evaluates summary statistics imputation for discovering new height-associated loci, finding it more effective than genotype imputation in distinguishing true associations from null results.

60 citationstop 4%

humanGWAS summary statistics

𝕏 PostBluesky