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• W2969373964 abstract "Abstract Heritability is an important statistic for evaluating genetic contribution to phenotypes. Estimating heritability, however, requires a laborious recruitment of a large number of relatives. Electronic health records (EHR) contain massive relative information in emergency contact forms. Recently, we presented RIFTEHR, an algorithm for extracting relationships from EHR. Here, we present an updated version and reconstructed 4.2 million familial relationships from the latest New York-Presbyterian/Columbia University Irving Medical Center (CUIMC) EHR system. The number of updated relationships is 30 percent more than the last version. We present a new implementation of RIFTEHR, which runs in linear time, thus largely improves the speed of the algorithm. We also present a data encryption method, to protect patient privacy in running the algorithm. These resources can be used for generalized use of familial relationships from EHR in genetic studies." @default.
• W2969373964 created "2019-08-29" @default.
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• W2969373964 date "2019-08-20" @default.
• W2969373964 modified "2023-09-24" @default.
• W2969373964 title "Familial relationships in electronic health records (EHR) v2" @default.
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• W2969373964 doi "https://doi.org/10.1101/731976" @default.
• W2969373964 hasPublicationYear "2019" @default.
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