| Title: | Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank |
| Journal: | Nature Communications |
| Published: | 6 May 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/38710707/ |
| DOI: | https://doi.org/10.1038/s41467-024-47802-7 |
| URL: | https://www.nature.com/articles/s41467-024-47802-7.pdf |
Publication 12143
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Abstract
The causes of temporal fluctuations in adult traits are poorly understood. Here, we investigate the genetic determinants of within-person trait variability of 8 repeatedly measured anthropometric traits in 50,117 individuals from the UK Biobank. We found that within-person (non-directional) variability had a SNP-based heritability of 2-5% for height, sitting height, body mass index (BMI) and weight (P ≤$$\le$$ 2.4 × 10−3). We also analysed longitudinal trait change and show a loss of both average height and weight beyond about 70 years of age. A variant tracking the Alzheimer's risk APOE-E4$${{{{{\mathcal{E}}}}}}4$$ allele (rs429358) was significantly associated with weight loss (β$$\beta$$ = −0.047 kg per yr, s.e. 0.007, P = 2.2 × 10−11), and using 2-sample Mendelian Randomisation we detected a relationship consistent with causality between decreased lumbar spine bone mineral density and height loss (bxy = 0.011, s.e. 0.003, P = 3.5 × 10−4). Finally, population-level variance quantitative trait loci (vQTL) were consistent with within-person variability for several traits, indicating an overlap between trait variability assessed at the population or individual level. Our findings help elucidate the genetic influence on trait-change within an individual and highlight disease risks associated with these changes.</p>
9 Authors
- Kathryn E. Kemper
- Julia Sidorenko
- Huanwei Wang
- Ben J. Hayes
- Naomi R. Wray
- Loic Yengo
- Matthew C. Keller
- Michael Goddard
- Peter M. Visscher
1 Application
| Application ID | Title |
|---|---|
| 12505 | Dissecting the genetic basis of relationships between early-life and later-life events |
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