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Article

DRIVE-KG: Enhancing variant-phenotype association discovery in understudied complex diseases using heterogeneous knowledge graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing - 1 Jan 2026

Rajagopalan Ananya, Nguyen Tram Anh, Guare Lindsay A, Rico Andre Luis Garao, Venkatesh Rasika, Caruth Lannawill, Genetics Center Regeneron, Medicine BioBank Penn, Verma Anurag, Ritchie Marylyn D, Hall Molly A, Romano Joseph D, Setia-Verma Shefali

Abstract excerpt

Multi-omics data are instrumental in obtaining a comprehensive picture of complex biological systems. This is particularly useful for women's health conditions such as endometriosis, which has been historically understudied despite having a high prevalence (around 10% of women of reproductive age). Subsequently, endometriosis has limited genetic characterization: current genome-wide association studies explain...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41758188
DOI: 10.1142/9789819824755_0060
PMCID: PMC12952675

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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