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Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank

Author

Listed:
  • Kathryn E. Kemper

    (University of Queensland)

  • Julia Sidorenko

    (University of Queensland)

  • Huanwei Wang

    (University of Queensland)

  • Ben J. Hayes

    (University of Queensland)

  • Naomi R. Wray

    (University of Queensland
    University of Oxford)

  • Loic Yengo

    (University of Queensland)

  • Matthew C. Keller

    (University of Colorado)

  • Michael Goddard

    (University of Melbourne
    Agriculture Victoria)

  • Peter M. Visscher

    (University of Queensland
    University of Oxford)

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- $${{{{{\mathcal{E}}}}}}4$$ E 4 allele (rs429358) was significantly associated with weight loss ( $$\beta$$ β = −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.

Suggested Citation

  • Kathryn E. Kemper & Julia Sidorenko & Huanwei Wang & Ben J. Hayes & Naomi R. Wray & Loic Yengo & Matthew C. Keller & Michael Goddard & Peter M. Visscher, 2024. "Genetic influence on within-person longitudinal change in anthropometric traits in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-47802-7
    DOI: 10.1038/s41467-024-47802-7
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    1. Guiyan Ni & Julius Werf & Xuan Zhou & Elina Hyppönen & Naomi R. Wray & S. Hong Lee, 2019. "Genotype–covariate correlation and interaction disentangled by a whole-genome multivariate reaction norm model," Nature Communications, Nature, vol. 10(1), pages 1-15, December.
    2. Fernihough, Alan & McGovern, Mark E., 2015. "Physical stature decline and the health status of the elderly population in England," Economics & Human Biology, Elsevier, vol. 16(C), pages 30-44.
    3. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    4. Guillaume Paré & Nancy R Cook & Paul M Ridker & Daniel I Chasman, 2010. "On the Use of Variance per Genotype as a Tool to Identify Quantitative Trait Interaction Effects: A Report from the Women's Genome Health Study," PLOS Genetics, Public Library of Science, vol. 6(6), pages 1-10, June.
    5. Kathryn E. Kemper & Loic Yengo & Zhili Zheng & Abdel Abdellaoui & Matthew C. Keller & Michael E. Goddard & Naomi R. Wray & Jian Yang & Peter M. Visscher, 2021. "Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    6. Jian Yang & Ruth J. F. Loos & Joseph E. Powell & Sarah E. Medland & Elizabeth K. Speliotes & Daniel I. Chasman & Lynda M. Rose & Gudmar Thorleifsson & Valgerdur Steinthorsdottir & Reedik Mägi & Lindsa, 2012. "FTO genotype is associated with phenotypic variability of body mass index," Nature, Nature, vol. 490(7419), pages 267-272, October.
    7. Zhihong Zhu & Zhili Zheng & Futao Zhang & Yang Wu & Maciej Trzaskowski & Robert Maier & Matthew R. Robinson & John J. McGrath & Peter M. Visscher & Naomi R. Wray & Jian Yang, 2018. "Causal associations between risk factors and common diseases inferred from GWAS summary data," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    8. Alan Fernihough & Mark E. McGovern, "undated". "Physical Stature Decline and the Health Status of the Elderly Population in England," PGDA Working Papers 11214, Program on the Global Demography of Aging.
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