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Article

Integrative Harmonization of Phenotypic and Genomic Data Improves Bone Mineral Density Prediction in Multi-Study Osteoporosis Research.

Genetic epidemiology - 1 Feb 2026

Liu Anqi, Liu Jianing, Wu Lang, Wu Qing

Abstract excerpt

Harmonizing osteoporosis-related data across multiple data sets is essential for improving the accuracy and generalizability of bone mineral density (BMD) assessments. This study developed a harmonization framework to standardize phenotypic and genomic variables across three major US osteoporosis data sets: GDBF, GWAS, and NHANES. We standardized key phenotypic variables (BMD, body mass index (BMI), age, sex, and...

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Identifiers

PMID: 41589508
DOI: 10.1002/gepi.70028
PMCID: PMC12836449

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

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