Correlations between complex human phenotypes vary by genetic background, gender, and environment

The Trans-Omics for Precision Medicine (TOPMed) Consortium

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We develop a closed-form Haseman-Elston estimator for genetic and environmental correlation coefficients between complex phenotypes, which we term HEc, that is as precise as GCTA yet ∼20× faster. We estimate genetic and environmental correlations between over 7,000 phenotype pairs in subgroups from the Trans-Omics in Precision Medicine (TOPMed) program. We demonstrate substantial differences in both heritabilities and genetic correlations for multiple phenotypes and phenotype pairs between individuals of self-reported Black, Hispanic/Latino, and White backgrounds. We similarly observe differences in many of the genetic and environmental correlations between genders. To estimate the contribution of genetics to the observed phenotypic correlation, we introduce “fractional genetic correlation” as the fraction of phenotypic correlation explained by genetics. Finally, we quantify the enrichment of correlations between phenotypic domains, each of which is comprised of multiple phenotypes. Altogether, we demonstrate that the observed correlations between complex human phenotypes depend on the genetic background of the individuals, their gender, and their environment.

Original languageEnglish (US)
Article number100844
JournalCell Reports Medicine
Volume3
Issue number12
DOIs
StatePublished - Dec 20 2022
Externally publishedYes

Keywords

  • Haseman-Elston regression
  • Hispanic Community Health Study/Study of Latinos
  • Trans-Omics in Precision Medicine
  • admixed population
  • genetic architecture
  • genetic background
  • genetic correlation
  • heritability
  • household correlation
  • multi-ethnic

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

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