| Title: | Energy Trade-off and 4 Extreme Human Body Types |
| Journal: | The Journal of Clinical Endocrinology & Metabolism |
| Published: | 22 Nov 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/36413496/ |
| DOI: | https://doi.org/10.1210/clinem/dgac665 |
| URL: | http://www.scopus.com/inward/record.url?scp=85152489934&partnerID=8YFLogxK |
Publication 10713
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Abstract
BACKGROUND: Resource trade-off theory suggests that increased performance on a given trait comes at the cost of decreased performance on other traits.</p>
METHODS: Growth data from 1889 subjects (996 girls) were used from the GrowUp1974 Gothenburg study. Energy Trade-Off (ETO) between height and weight for individuals with extreme body types was characterized using a novel ETO-Score (ETOS). Four extreme body types were defined based on height and ETOI at early adulthood: tall-slender, short-stout, short-slender, and tall-stout; their growth trajectories assessed from ages 0.5-17.5 years.A GWAS using UK BioBank data was conducted to identify gene variants associated with height, BMI, and for the first time with ETOS.</p>
RESULTS: Height and ETOS trajectories show a two-hit pattern with profound changes during early infancy and at puberty for tall-slender and short-stout body types. Several loci (including FTO, ADCY3, GDF5, ) and pathways were identified by GWAS as being highly associated with ETOS. The most strongly associated pathways were related to "extracellular matrix," "signal transduction," "chromatin organization," and "energy metabolism."</p>
CONCLUSIONS: ETOS represents a novel anthropometric trait with utility in describing body types. We discovered the multiple genomic loci and pathways probably involved in energy trade-off.</p>
14 Keywords
- Adolescent
- Adult
- Alpha-Ketoglutarate-Dependent Dioxygenase FTO
- Anthropometry
- Body Height
- Child
- Child, Preschool
- Energy Metabolism
- Female
- Humans
- Infant
- Phenotype
- Puberty
- Somatotypes
7 Authors
- Ze'ev Hochberg
- Kerstin Albertsson-Wikland
- Florian Privé
- Alina German
- Anton Holmgren
- Lisa Rubin
- Michael Shmoish
1 Application
| Application ID | Title |
|---|---|
| 58024 | Combining Genetic and Environmental Information to Predict Disease Risk |
Enabling scientific discoveries that improve human health