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GWAS Study

Genetic and clinical determinants of telomere length.

Allaire P, He J, Mayer J et al.

37216007 PubMed ID
GWAS Study Type
62271 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

AP
Allaire P
HJ
He J
MJ
Mayer J
ML
Moat L
GP
Gerstenberger P
WR
Wilhorn R
SS
Strutz S
KD
Kim DSL
ZC
Zeng C
CN
Cox N
SJ
Shay JW
DJ
Denny J
BL
Bastarache L
HS
Hebbring S
Chapter II

Abstract

Summary of the research findings

Many epidemiologic studies have identified important relationships between leukocyte telomere length (LTL) with genetics and health. Most of these studies have been significantly limited in scope by focusing predominantly on individual diseases or restricted to GWAS analysis. Using two large patient populations derived from Vanderbilt University and Marshfield Clinic biobanks linked to genomic and phenomic data from medical records, we investigated the inter-relationship between LTL, genomics, and human health. Our GWAS confirmed 11 genetic loci previously associated with LTL and two novel loci in SCNN1D and PITPNM1. PheWAS of LTL identified 67 distinct clinical phenotypes associated with both short and long LTL. We demonstrated that several diseases associated with LTL were related to one another but were largely independent from LTL genetics. Age of death was correlated with LTL independent of age. Those with very short LTL (<-1.5 standard deviation [SD]) died 10.4 years (p < 0.0001) younger than those with average LTL (±0.5 SD; mean age of death = 74.2 years). Likewise, those with very long LTL (>1.5 SD) died 1.9 years (p = 0.0175) younger than those with average LTL. This is consistent with the PheWAS results showing diseases associating with both short and long LTL. Finally, we estimated that the genome (12.8%) and age (8.5%) explain the largest proportion of LTL variance, whereas the phenome (1.5%) and sex (0.9%) explained a smaller fraction. In total, 23.7% of LTL variance was explained. These observations provide the rationale for expanded research to understand the multifaceted correlations between TL biology and human health over time, leading to effective LTL usage in medical applications.

62,271 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

62271
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
Chapter IV

AI-Generated Summary

AI-generated by DNAGENICS

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