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Aisling O’Hara Hall on Muck Rack

Aisling O’Hara Hall

As seen in: Nature
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Articles

Systematic comparison of affinity plasma proteomic technologies across multiple cohorts reveals generalizability of proteomic prediction

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By Anthony S Barente, Zijie Zhao, Zhili Zheng, Chun Lin Wu, Kritika Singh, Zhaoqing Wang, Laurence Menard, Isaac Neuhaus, Mitja I. Kurki, Aarno Palotie, Mark Daly, Sarah Finer, David van Heel, Maik Pietzner, Claudia Langenberg, Joseph C. Maranville, Tai Wang, Benjamin B. Sun, Aisling O’Hara Hall
| Nature Verified
Abstract Emergence of biobank level proteomic datasets with extensive phenotype linkage has significantly improved our understanding of proteomic drivers in health and ushered in a flurry of disease risk prediction models. However, differences in cohorts and proteomic assays can significantly undermine transferability of proteomic models, severely limiting their general use.
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