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Article

A framework for conducting GWAS using repeated measures data with an application to childhood BMI.

Nature communications - 20 Nov 2024

Burrows Kimberley, Heiskala Anni, Bradfield Jonathan P, Balkhiyarova Zhanna, Ning Lijiao, Boissel Mathilde, Chan Yee-Ming, Froguel Philippe, Bonnefond Amelie, Hakonarson Hakon, Alves Alexessander Couto, Lawlor Deborah A, Kaakinen Marika, Järvelin Marjo-Riitta, Grant Struan F A, Tilling Kate, Prokopenko Inga, Sebert Sylvain, Canouil Mickaël, Warrington Nicole M

Abstract excerpt

Genetic effects on changes in human traits over time are understudied and may have important pathophysiological impact. We propose a framework that enables data quality control, implements mixed models to evaluate trajectories of change in traits, and estimates phenotypes to identify age-varying genetic effects in GWAS. Using childhood BMI as an example trait, we included 71,336 participants from six cohorts and...

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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: 39567492
DOI: 10.1038/s41467-024-53687-3
PMCID: PMC11579382

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