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

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

Abstract 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-va...

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Main Authors: Kimberley Burrows, Anni Heiskala, Jonathan P. Bradfield, Zhanna Balkhiyarova, Lijiao Ning, Mathilde Boissel, Yee-Ming Chan, Philippe Froguel, Amelie Bonnefond, Hakon Hakonarson, Alexessander Couto Alves, Deborah A. Lawlor, Marika Kaakinen, Marjo-Riitta Järvelin, Struan F. A. Grant, Kate Tilling, Inga Prokopenko, Sylvain Sebert, Mickaël Canouil, Nicole M. Warrington
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-53687-3
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https://doi.org/10.1038/s41467-024-53687-3

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