Literature DB >> 24029873

Heritability analyses show visit-to-visit blood pressure variability reflects different pathological phenotypes in younger and older adults: evidence from UK twins.

Cristina Menni1, Massimo Mangino, Feng Zhang, Gail Clement, Harold Snieder, Sandosh Padmanabhan, Tim D Spector.   

Abstract

BACKGROUND: Clinic and long-term average blood pressure (BP) are heritable traits with estimates of heritability ranging from 0.31 to 0.68. Long-term visit-to-visit BP variability (BPV) is emerging as a new cardiovascular risk predictor, though it is unclear if this is completely independent of BP. We hypothesize that BPV should demonstrate the same pattern of additive genetic, shared environmental and unique environmental variance as BP, if both are phenotypic surrogates.
METHOD: We studied 2889 twin pairs not on any BP-lowering therapy from the Twins UK cohort, and estimated the additive genetic variance for baseline BP, long-term average BP, BP trajectory (rate of change of BP in mmHg/year) and BPV (coefficient of variation and average real variability over an average of 3.2 visits). Heritability estimates were obtained by structural equation modelling adjusting for age, age, sex and BMI.
RESULTS: The heritabilities for baseline SBP and DBP were 0.51 (95% confidence interval 0.49, 0.53) and 0.56 (0.54, 0.58); long-term average SBP and DBP were 0.56 (0.53, 0.59) and 0.61 (0.58, 0.64); and systolic and diastolic trajectories over 10 years were 0.49 (0.46, 0.52) and 0.29 (0.27, 0.32), respectively. Both overall systolic and diastolic BPV showed no additive genetic variance contributing to the phenotypic variation, but after stratification by age, the younger subgroup (<51 years) showed heritability estimates of 0.44 (0.38, 0.50) for coefficient of variation and 0.35 (0.29, 0.41) for average real variability.
CONCLUSION: Age is a major factor that influences heritability estimation of BPV and it is likely that BPV in younger and older age groups may reflect different pathological phenotypes.

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Mesh:

Year:  2013        PMID: 24029873     DOI: 10.1097/HJH.0b013e32836523c1

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  7 in total

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Authors:  Wael F Hussein; Tara I Chang
Journal:  Curr Hypertens Rep       Date:  2015-03       Impact factor: 5.369

Review 2.  An update on the pharmacogenetics of treating hypertension.

Authors:  V Fontana; M R Luizon; V C Sandrim
Journal:  J Hum Hypertens       Date:  2014-08-28       Impact factor: 3.012

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Authors:  Julia K Goodrich; Emily R Davenport; Michelle Beaumont; Matthew A Jackson; Rob Knight; Carole Ober; Tim D Spector; Jordana T Bell; Andrew G Clark; Ruth E Ley
Journal:  Cell Host Microbe       Date:  2016-05-11       Impact factor: 21.023

Review 4.  Blood pressure control and primary prevention of stroke: summary of the recent clinical trial data and meta-analyses.

Authors:  Zbigniew Gaciong; Maciej Siński; Jacek Lewandowski
Journal:  Curr Hypertens Rep       Date:  2013-12       Impact factor: 5.369

5.  Phenome-wide heritability analysis of the UK Biobank.

Authors:  Tian Ge; Chia-Yen Chen; Benjamin M Neale; Mert R Sabuncu; Jordan W Smoller
Journal:  PLoS Genet       Date:  2017-04-07       Impact factor: 5.917

6.  Dietary Influence on Systolic and Diastolic Blood Pressure in the TwinsUK Cohort.

Authors:  Panayiotis Louca; Olatz Mompeo; Emily R Leeming; Sarah E Berry; Massimo Mangino; Tim D Spector; Sandosh Padmanabhan; Cristina Menni
Journal:  Nutrients       Date:  2020-07-17       Impact factor: 5.717

7.  Family history of arterial hypertension and central adiposity: impact on blood pressure in schoolchildren.

Authors:  Tatiana Aparecida Affornali Tozo; Maria Lourdes Gisi; Caroline Brand; Carla Marisa Maia Moreira; Beatriz Oliveira Pereira; Neiva Leite
Journal:  BMC Pediatr       Date:  2022-08-23       Impact factor: 2.567

  7 in total

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