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Article

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics.

Nature communications - 8 Jan 2021

Li Ruowang, Duan Rui, Zhang Xinyuan, Lumley Thomas, Pendergrass Sarah, Bauer Christopher, Hakonarson Hakon, Carrell David S, Smoller Jordan W, Wei Wei-Qi, Carroll Robert, Velez Edwards Digna R, Wiesner Georgia, Sleiman Patrick, Denny Josh C, Mosley Jonathan D, Ritchie Marylyn D, Chen Yong, Moore Jason H

Abstract excerpt

Increasingly, clinical phenotypes with matched genetic data from bio-bank linked electronic health records (EHRs) have been used for pleiotropy analyses. Thus far, pleiotropy analysis using individual-level EHR data has been limited to data from one site. However, it is desirable to integrate EHR data from multiple sites to improve the detection power and generalizability of the results. Due to privacy concerns,...

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Identifiers

PMID: 33420026
DOI: 10.1038/s41467-020-20211-2
PMCID: PMC7794298

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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