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Alaitz Poveda

Postdoctoral fellow

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Predicting sensitivity and resilience to modifiable risk factors for cardiometabolic morbidity and mortality

Author

  • Hugo Pomares-Millan
  • Naemieh Atabaki Pasdar
  • Ingegerd Johansson
  • Alaitz Poveda
  • Paul W. Franks

Summary, in English

Background Lifestyle exposures play a major role in the development of disease, yet people vary in their susceptibility. A critical step towards precision medicine is identifying individuals who are resilient or sensitive to the environment, and, assess whether the allocation to these predicted groups are more or less likely to develop cardiometabolic disease.

Methods We have used repeated data from the VHU study (n=35440) to identify sensitive and resilient individuals using prediction intervals at the 5th and 95th quantile. Three exposure susceptibility groups were derived per cardiometabolic score using quantile regression forests in the training dataset; next, in the validation dataset, we assessed the different risks of the groups using Cox proportional hazard models for CVD and diabetes.

Results The results of our study suggest that, after ∼10 y of follow-up, individuals with sensitivity to the environmental exposures associated with systolic and diastolic blood pressure, blood lipids, and glucose were at higher risk of developing cardiometabolic disease. Moreover, when hazards were pooled with the replication cohort, for those individuals sensitive to the exposures associated with blood pressure traits, the hazards remained significant.

Conclusions Identifying individuals who are predicted to be sensitive are at higher risk of developing disease, this population may be a clinical target for prevention or early intervention and public health strategies.

Department/s

  • EXODIAB: Excellence of Diabetes Research in Sweden
  • Genetic and Molecular Epidemiology
  • eSSENCE: The e-Science Collaboration
  • EpiHealth: Epidemiology for Health

Publishing year

2021

Language

English

Pages

1-28

Document type

Preprint

Publisher

medRxiv

Topic

  • Public Health, Global Health, Social Medicine and Epidemiology

Status

Published

Research group

  • Genetic and Molecular Epidemiology