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Heritability of the femoral intima media thickness

  • Bence Fejer
  • , Adam D. Tarnoki*
  • , David L. Tarnoki
  • , Pierleone Lucatelli
  • , Levente Littvay
  • , Pal Maurovich-Horvat
  • , Adam L. Jermendy
  • , Attila Kovacs
  • , Erika Godor
  • , Corrado Fagnani
  • , Maria A. Stazi
  • , Andrea A. Molnar
  • , Fabrizio Fanelli
  • , Carlo Cirelli
  • , Filippo Farina
  • , Claudio Baracchini
  • , Giorgio Meneghetti
  • , Giacomo Pucci
  • , Gyorgy Jermendy
  • , Bela Merkely
  • Giuseppe Schillaci, Emanuela Medda
*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract (may include machine translation)

Background The measurement of femoral intima-media thickness (IMT) is underutilized in the clinical practice, although it is a surrogate marker of cardiovascular disease. 

Materials and methods 388 Hungarian and Italian twins (121 monozygotic, 73 dizygotic pairs) underwent bilateral B-mode sonography of femoral arteries. IMT was measured by semiautomated software, where available, or by calipers. 

Results Within-pair correlation in monozygotic twins was higher than in dizygotics for each parameter. Age-, sex- and country-adjusted genetic effect accounted for 43.9% (95% confidence interval, CI 21.3%–65.2%) and 47.2% (95% CI, 31.4%–62.6%) of the variance of common and superficial femoral artery IMT, respectively, and unshared environmental effect for 56.1% (95% CI 34.6%–78.5%) and 52.8% (95% CI, 37.2%–68.5%). These results did not change significantly after correcting for body mass index or central systolic blood pressure. 

Conclusions Genetic factors have a moderate role in the determination of common and superficial femoral IMT; however, the influence of environmental (lifestyle) factors remains still relevant. Environmental factors may have a role in influencing the genetic predisposition for femoral vascular hypertrophy.

Original languageEnglish
Pages (from-to)44-48
Number of pages5
JournalEuropean Journal of Internal Medicine
Volume41
DOIs
StatePublished - 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Atherosclerosis
  • Cardiovascular risk
  • Circulation
  • Gene
  • Twins

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