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      Genetic contribution to the variance of blood pressure and heart rate: a systematic review and meta-regression of twin studies.

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          Abstract

          The genetic contribution of blood pressure and heart rate (HR) varied widely between studies. Demographic factors such as ethnicity, age and/or sex might explain some of the heterogeneity. We performed a systematic review focusing on four phenotypes: systolic blood pressure (SBP), diastolic blood pressure (DBP), HR and pulse pressure (PP). Meta-regression was conducted to analyze potential factors in relation to SBP and DBP heritability. A total of 10,613 independent twins that came from 17 studies were included in the analysis. The weighted mean value of heritability for SBP and DBP was 0.54 (95% CIs: 0.48-0.60) and 0.49 (95% CIs: 0.42-0.56). Comparatively, three studies of HR and four studies of PP heritability were limited for the heterogeneity test. Meta-regression showed that, on average, SBP heritability with additive genes/unique environment (AE) model tend to have a higher heritability than additive genes/shared environment/unique environment (ACE) model (coefficient = 0.0947, p = .0142). A similar result was found for DBP as well. No other factors such as sex, age, ethnicity, publication year were significantly associated with heritability variance. Our study shows heritability estimates based on twin studies of both SBP and DBP are around 50%, using an AE rather than an ACE model; the variance due to C ended up in A, suggesting that the AE model may overestimate heritability if a small contribution of shared environment exists.

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          Author and article information

          Journal
          Twin Res Hum Genet
          Twin research and human genetics : the official journal of the International Society for Twin Studies
          Cambridge University Press (CUP)
          1832-4274
          1832-4274
          Apr 2015
          : 18
          : 2
          Affiliations
          [1 ] Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing,China.
          Article
          S1832427415000080
          10.1017/thg.2015.8
          25744168
          66987366-3346-4fec-812a-d87f4dbd6452
          History

          meta-regression
          meta-regression

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