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Genes, Meat, or Soy: What Best Predicts Human Height?

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Davide Piffer
Aug 01, 2026
∙ Paid

Average height at age 18 is partly inherited and is also an imperfect cumulative marker of growth conditions from prenatal life through adolescence. Maternal and early-childhood undernutrition predict later growth (Victora et al., 2008), while repeated diarrhoea contributes to stunting (Checkley et al., 2008). NCD-RisC’s 200-country trajectories show how much childhood and adolescent height varies across place and time.

Linear growth requires adequate energy and a digestible supply of indispensable amino acids. The FAO’s Digestible Indispensable Amino Acid Score, or DIAAS, evaluates protein quality amino acid by amino acid. Mathai and colleagues’ growing-pig assay found substantial digestibility differences among dairy and plant proteins; Herreman and colleagues’ review found that animal-sourced proteins often score higher on average, although variation within both categories is substantial. DIAAS rates individual foods, not whole-diet health or effects on human height.

Height is also highly polygenic. Yengo and colleagues mapped thousands of common-variant associations, allowing part of the measured genetic signal to be summarized in a polygenic score. A PGS is not a complete measure of genetic potential, and standardizing it as a Z score does not solve cross-ancestry portability or population structure. Omitting genetics can distort an ecological comparison; including a PGS does not eliminate genetic confounding.

Here, “meat” and “soy” are title shorthand. The actual exposures are national animal-protein supply—including meat, dairy, eggs, fish, and seafood—and plant-protein supply from the full food system, including grains and legumes.

This replication asks four questions:

• Across the 18 years preceding height measurement at age 18, are animal- and plant-protein supply associated differently with national height?

• Do either protein source’s returns diminish as supply rises—and, if so, where does the curve begin to flatten?

• How much predictive information does a standardized height polygenic score add on its own and alongside diet?

• Do the answers survive stricter population-size thresholds and adjustment for broader national development?

The answers do not fit neatly into a genes-versus-nutrition contest.

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