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GWAS Study

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

Arbeev KG, Bagley O, Ukraintseva SV et al.

32235003 PubMed ID
GWAS Study Type
4608 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AK
Arbeev KG
BO
Bagley O
US
Ukraintseva SV
WD
Wu D
DH
Duan H
KA
Kulminski AM
SE
Stallard E
CK
Christensen K
LJ
Lee JH
TB
Thyagarajan B
ZJ
Zmuda JM
YA
Yashin AI
Chapter II

Abstract

Summary of the research findings

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.

4,608 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

4608
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Denmark, U.S.
Recruitment Country
Chapter IV

Analysis

Comprehensive review of health and genetic findings

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