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Genetics of physiological dysregulation: findings from the long life family study using joint models.

Publication ,  Journal Article
Arbeev, KG; Bagley, O; Ukraintseva, SV; Wu, D; Duan, H; Kulminski, AM; Stallard, E; Christensen, K; Lee, JH; Thyagarajan, B; Zmuda, JM; Yashin, AI
Published in: Aging
April 2020

Recently, Mahalanobis distance (DM) was suggested as a statistical measure of physiological dysregulation in aging individuals. We constructed DM variants using sets of biomarkers collected at the two visits of the Long Life Family Study (LLFS) and performed joint analyses of longitudinal observations of DM and follow-up mortality in LLFS using joint models. We found that DM is significantly associated with mortality (hazard ratio per standard deviation: 1.31 [1.16, 1.48] to 2.22 [1.84, 2.67]) after controlling for age and other covariates. GWAS of random intercepts and slopes of DM estimated from joint models found a genome-wide significant SNP (rs12652543, p=7.2×10-9) in the TRIO gene associated with the slope of DM constructed from biomarkers declining in late life. Review of biological effects of genes corresponding to top SNPs from GWAS of DM slopes revealed that these genes are broadly involved in cancer prognosis and axon guidance/synapse function. Although axon growth is mainly observed during early development, the axon guidance genes can function in adults and contribute to maintenance of neural circuits and synaptic plasticity. Our results indicate that decline in axons' ability to maintain complex regulatory networks may potentially play an important role in the increase in physiological dysregulation during aging.

Duke Scholars

Published In

Aging

DOI

EISSN

1945-4589

ISSN

1945-4589

Publication Date

April 2020

Volume

12

Issue

7

Start / End Page

5920 / 5947

Related Subject Headings

  • Protein Serine-Threonine Kinases
  • Polymorphism, Single Nucleotide
  • Neuronal Plasticity
  • Neural Pathways
  • Neoplasms
  • Mortality
  • Models, Biological
  • Male
  • Longitudinal Studies
  • Joints
 

Citation

APA
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ICMJE
MLA
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Arbeev, K. G., Bagley, O., Ukraintseva, S. V., Wu, D., Duan, H., Kulminski, A. M., … Yashin, A. I. (2020). Genetics of physiological dysregulation: findings from the long life family study using joint models. Aging, 12(7), 5920–5947. https://doi.org/10.18632/aging.102987
Arbeev, Konstantin G., Olivia Bagley, Svetlana V. Ukraintseva, Deqing Wu, Hongzhe Duan, Alexander M. Kulminski, Eric Stallard, et al. “Genetics of physiological dysregulation: findings from the long life family study using joint models.Aging 12, no. 7 (April 2020): 5920–47. https://doi.org/10.18632/aging.102987.
Arbeev KG, Bagley O, Ukraintseva SV, Wu D, Duan H, Kulminski AM, et al. Genetics of physiological dysregulation: findings from the long life family study using joint models. Aging. 2020 Apr;12(7):5920–47.
Arbeev, Konstantin G., et al. “Genetics of physiological dysregulation: findings from the long life family study using joint models.Aging, vol. 12, no. 7, Apr. 2020, pp. 5920–47. Epmc, doi:10.18632/aging.102987.
Arbeev KG, Bagley O, Ukraintseva SV, Wu D, Duan H, Kulminski AM, Stallard E, Christensen K, Lee JH, Thyagarajan B, Zmuda JM, Yashin AI. Genetics of physiological dysregulation: findings from the long life family study using joint models. Aging. 2020 Apr;12(7):5920–5947.

Published In

Aging

DOI

EISSN

1945-4589

ISSN

1945-4589

Publication Date

April 2020

Volume

12

Issue

7

Start / End Page

5920 / 5947

Related Subject Headings

  • Protein Serine-Threonine Kinases
  • Polymorphism, Single Nucleotide
  • Neuronal Plasticity
  • Neural Pathways
  • Neoplasms
  • Mortality
  • Models, Biological
  • Male
  • Longitudinal Studies
  • Joints