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Article

Bioinformatic approach to the genetics of preeclampsia.

Obstetrics and gynecology - 1 Jun 2014

Triche Elizabeth W, Uzun Alper, DeWan Andrew T, Kurihara Itsuka, Liu Joy, Occhiogrosso Rachel, Shen Burton, Parker Jeremy, Padbury James F

Abstract excerpt

OBJECTIVE: To identify candidate genes and genetic variants for preeclampsia using a bioinformatic approach to extract and organize genes and variants from the published literature. METHODS: Semantic data-mining and natural language processing were used to identify articles from the published literature meeting criteria for potential association with preeclampsia. Articles were manually reviewed by trained...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 24807322
DOI: 10.1097/AOG.0000000000000293
PMCID: PMC4409136

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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