Height synthetic dataset

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• Sex and genetic differences in height trajetcories, measured across 8 time points across childhood and adolescence (ages 7 to 18).
• This dataset contains ~15000 people, based upon data from the Avon Longitudinal Study of Parents and Children (ALSPAC) participants.
• You could use this dataset to examine sex differences in height trajetcories using the female for sex. Alternatively, you could explore how higher or lower polygenic risk score for height hei_k_5e08_std are associated with different height trajectories, adjusting for sex female.
• There is 1 sex variable one could use to split trajectories by:
  • female
• Alternatively, there is one geneic risk variable one could use to split trajectories by:
  • hei_k_5e08_std

Variables (column names):

• Subject
  • ID of simulated participant.
  • Type: Character
• height_t1, height_t2, height_t3, height_t4, height_t5, height_t6, height_t7, height_t8
  • Height at each occasions (measured in cm)
  • Type: Numeric
• age_t1, age_t2, age_t3, age_t4, age_t5, age_t6, age_t7, age_t8
  • Age at corresponding time points for the height variable (years)
  • Type: Numeric
• Female
  • female is coded as 1. Male is coded as 0.
  • Type: Categorical
• hei_k_5e08_std
  • Polylgenic risk score for height where higher scores = greater genetic liability to height and lower scores = lower genetic liability for height.
  • Type: Numeric