Author
Columbia University Irving Medical CenterORCID 0000-0001-5892-0852Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Michael Zietz, Kathleen LaRow Brown, Undina Gisladottir, Nicholas P. Tatonetti
MaxGCP improves GWAS power by optimizing phenotype definitions to maximize coheritability with complex traits in observational data.
Michael Zietz, Undina Gisladottir, Kathleen LaRow Brown, Nicholas P. Tatonetti
WebGWAS provides a web tool to quickly generate approximate GWAS summary statistics for custom phenotypes without requiring individual-level data.
Michael Zietz, Undina Gisladottir, Kathleen LaRow Brown, Nicholas P. Tatonetti
This paper introduces Indirect GWAS, a method that accelerates biobank-scale GWAS by computing statistics for custom phenotypes using summary statistics, reducing runtime significantly.
Daniel Butler, Christopher Mozsary, Cem Meydan…·Christopher E. Mason
This study uses rapid diagnostics and metatranscriptomics to analyze SARS-CoV-2 infection, revealing viral evolution, host responses, and drug interactions in NYC samples.
Phyllis Thangaraj, Undina Gisladottir, Nicholas P. Tatonetti
The paper improves GWAS power for stroke by using machine learning to assign disease probabilities from electronic health records, discovering a novel variant associated with intracerebral hemorrhage.