Faculty, Staff and Student Publications
Language
English
Publication Date
12-20-2022
Journal
Cell Reports Medicine
DOI
10.1016/j.xcrm.2022.100844
PMID
36513073
PMCID
PMC9797952
PubMedCentral® Posted Date
12-12-2022
PubMedCentral® Full Text Version
Post-print
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.
Keywords
Humans, Male, Female, Phenotype, Genetic Background
Published Open-Access
yes
Recommended Citation
Elgart, Michael; Goodman, Matthew O; Isasi, Carmen; et al., "Correlations Between Complex Human Phenotypes Vary by Genetic Background, Gender, and Environment" (2022). Faculty, Staff and Student Publications. 724.
https://digitalcommons.library.tmc.edu/uthsph_docs/724