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Article

Size matters: how population size influences genotype-phenotype association studies in anonymized data.

Journal of biomedical informatics - 1 Dec 2014

Heatherly Raymond, Denny Joshua C, Haines Jonathan L, Roden Dan M, Malin Bradley A

Abstract excerpt

OBJECTIVE: Electronic medical records (EMRs) data is increasingly incorporated into genome-phenome association studies. Investigators hope to share data, but there are concerns it may be "re-identified" through the exploitation of various features, such as combinations of standardized clinical codes. Formal anonymization algorithms (e.g., k-anonymization) can prevent such violations, but prior studies suggest...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 25038554
DOI: 10.1016/j.jbi.2014.07.005
PMCID: PMC4260994

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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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