Estimation of Causal Effect of Age at Menarche on Pubertal Height Growth Using Mendelian Randomization

Eun Jae Jo, Shizhong Han, Kai Wang

Research output: Contribution to journalArticlepeer-review

Abstract

We use Mendelian randomization to estimate the causal effect of age at menarche on late pubertal height growth and total pubertal height growth. The instrument SNPs selected from the exposure genome-wide association study (GWAS) are validated in additional population-matched exposure GWASs. Based on the inverse variance weighting method, there is a positive causal relationship of age at menarche on late pubertal growth (β = 0.56,95% CI: (0.34,0.78), p = 3.16 × 10-7) and on total pubertal growth (/3 = 0.36, 95% CI: (0.14, 0.58), p = 1.30 × 10-3). If the instrument SNPs are not validated in additional exposure GWASs, the estimated effect on late pubertal height growth increases by 3.6% to β = 0.58 (95% CI: (0.42, 0.73), p = 4.38 × 10-13) while the estimates on total pubertal height growth increases by 41.7% to β = 0.51 (95% CI: (0.35, 0.67), p = 2.96 × 10-11).

Original languageEnglish (US)
Article number710
JournalGenes
Volume13
Issue number4
DOIs
StatePublished - Apr 2022

Keywords

  • Age at menarche
  • GWAS
  • Inverse variance weighting
  • MR-Egger regression
  • Mendelian randomization
  • Pubertal height growth

ASJC Scopus subject areas

  • Genetics(clinical)
  • Genetics

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