Undina Gisladottir on Muck Rack

Undina Gisladottir

As seen in: Nature, PLOS, medRxiv
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Articles

Optimized phenotype definitions boost GWAS power

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By Michael Zietz, Kathleen Brown, Undina Gisladottir
| PLOS
Citation: Zietz M, Brown KL, Gisladottir U, Tatonetti NP (2026) Optimized phenotype definitions boost GWAS power. PLoS Comput Biol 22(7): e1014431. https://doi.org/10.1371/journal.pcbi.1014431 Editor: Lin Hou, Tsinghua University, CHINA Received: November 19, 2025; Accepted: June 7, 2026; Published: July 1, 2026 Copyright: © 2026 Zietz et al.
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Biases in Race and Ethnicity Introduced by Filtering Electronic Health Records for 'Complete Data'

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By Yasaman Fatapour, Michael Zietz, Kathleen Brown, Undina Gisladottir
| medRxiv
The authors have declared no competing interest. This study did not receive any funding I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
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Optimized phenotype definitions boost GWAS power

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By Michael Zietz, Kathleen Brown, Undina Gisladottir, Nicholas P. Tatonetti
| biorxiv.org
Abstract Complex diseases are among the central challenges facing the world, and genetics underlie a large fraction of the risk. Observational data, such as electronic health records (EHR), offer numerous advantages in the study of complex disease genetics.
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