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Taking a lifespan approach to polygenic scores.

Eloise W FreitagCaroline Malory Kelsey
Published in: The Behavioral and brain sciences (2023)
This commentary is a call to action for researchers to create and use genome-wide association studies (GWASs) with previously missed age groups (e.g., infancy, elderly), which will improve our ability to ask important developmental questions using genetic data to trace pathways across the lifespan.
Keyphrases
  • genome wide association
  • electronic health record
  • middle aged
  • genome wide
  • big data
  • weight gain
  • heavy metals
  • copy number
  • dna methylation
  • data analysis
  • physical activity
  • deep learning