Strengthening Causal Inference in Exposomics Research: Application of Genetic Data and Methods.

Environ Health Perspect · 2022 · PMC9084332 · PMID 35533073

Europe PMC DOI

hedged sentence

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closest p · 0.0× alpha

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highly significantp < 5 × 10 − 8actually significant

41 A follow-up GWAS of copper, selenium, and zinc identified eight highly significant ( p < 5 × 10 − 8 ) common genetic variants that mapped to loci containing genes with roles in trace element metabolism. 42 These genetic variants accounted for 4%–8% of phenotypic variance in copper, selenium, and zinc.

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