OBJECTIVE: To estimate the contribution of heredity to the variance in left ventricular mass (LVM), and to ascertain whether genetic factors may interact with non-genetic factors in promoting LVM growth. SUBJECTS AND SETTING: The study population consisted of 290 healthy parents and 251 healthy children living in Tecumseh, Michigan, USA. MAIN OUTCOME MEASURE: Correlation of parents' LVM with offspring's LVM adjusting for a number of clinical variables. METHODS: LVM in parents and offspring was measured with M-mode echocardiography by the same investigators. RESULTS: Parents unadjusted LVM was unrelated to offspring unadjusted LVM, but after removing the confounding effect of age, sex, anthropometric measurements, systolic blood pressure, plasma insulin and urinary sodium excretion, parent-child correlation for LVM was 0.28 (P = 0.006). The relative contribution of parental-adjusted LVM and of several offspring phenotypic and environmental variables on offspring LVM was evaluated by multivariable regression analysis. When age, gender, anthropometric measurements and systolic blood pressure were accounted for, adjusted LVM of parents explained only 1.6% of the total variance in offspring LVM. However, after inclusion of insulin and urinary sodium in the model heredity explained 7.6% of the total variance in offspring LVM, and its predictive power was second only to that of child's height. Furthermore, an interactive effect of parental LVM with offspring systolic blood pressure was found on child's left ventricular mass. CONCLUSION: Heredity can explain a small, but definite proportion of the variance in LVM. Higher blood pressure favors the phenotypic expression of the genes that regulate LVM growth.
OBJECTIVE: To estimate the contribution of heredity to the variance in left ventricular mass (LVM), and to ascertain whether genetic factors may interact with non-genetic factors in promoting LVM growth. SUBJECTS AND SETTING: The study population consisted of 290 healthy parents and 251 healthy children living in Tecumseh, Michigan, USA. MAIN OUTCOME MEASURE: Correlation of parents' LVM with offspring's LVM adjusting for a number of clinical variables. METHODS: LVM in parents and offspring was measured with M-mode echocardiography by the same investigators. RESULTS: Parents unadjusted LVM was unrelated to offspring unadjusted LVM, but after removing the confounding effect of age, sex, anthropometric measurements, systolic blood pressure, plasma insulin and urinary sodium excretion, parent-child correlation for LVM was 0.28 (P = 0.006). The relative contribution of parental-adjusted LVM and of several offspring phenotypic and environmental variables on offspring LVM was evaluated by multivariable regression analysis. When age, gender, anthropometric measurements and systolic blood pressure were accounted for, adjusted LVM of parents explained only 1.6% of the total variance in offspring LVM. However, after inclusion of insulin and urinary sodium in the model heredity explained 7.6% of the total variance in offspring LVM, and its predictive power was second only to that of child's height. Furthermore, an interactive effect of parental LVM with offspring systolic blood pressure was found on child's left ventricular mass. CONCLUSION: Heredity can explain a small, but definite proportion of the variance in LVM. Higher blood pressure favors the phenotypic expression of the genes that regulate LVM growth.
Authors: Susan Cheng; Elizabeth L McCabe; Martin G Larson; Ming-Huei Chen; Ewa Osypiuk; Birgitta T Lehman; Plamen Stantchev; Jayashri Aragam; Scott D Solomon; Emelia J Benjamin; Ramachandran S Vasan Journal: Eur J Heart Fail Date: 2014-12-01 Impact factor: 15.534
Authors: Ramachandran S Vasan; Nicole L Glazer; Janine F Felix; Wolfgang Lieb; Philipp S Wild; Stephan B Felix; Norbert Watzinger; Martin G Larson; Nicholas L Smith; Abbas Dehghan; Anika Grosshennig; Arne Schillert; Alexander Teumer; Reinhold Schmidt; Sekar Kathiresan; Thomas Lumley; Yurii S Aulchenko; Inke R König; Tanja Zeller; Georg Homuth; Maksim Struchalin; Jayashri Aragam; Joshua C Bis; Fernando Rivadeneira; Jeanette Erdmann; Renate B Schnabel; Marcus Dörr; Robert Zweiker; Lars Lind; Richard J Rodeheffer; Karin Halina Greiser; Daniel Levy; Talin Haritunians; Jaap W Deckers; Jan Stritzke; Karl J Lackner; Uwe Völker; Erik Ingelsson; Iftikhar Kullo; Johannes Haerting; Christopher J O'Donnell; Susan R Heckbert; Bruno H Stricker; Andreas Ziegler; Thorsten Reffelmann; Margaret M Redfield; Karl Werdan; Gary F Mitchell; Kenneth Rice; Donna K Arnett; Albert Hofman; John S Gottdiener; Andre G Uitterlinden; Thomas Meitinger; Maria Blettner; Nele Friedrich; Thomas J Wang; Bruce M Psaty; Cornelia M van Duijn; H-Erich Wichmann; Thomas F Munzel; Heyo K Kroemer; Emelia J Benjamin; Jerome I Rotter; Jacqueline C Witteman; Heribert Schunkert; Helena Schmidt; Henry Völzke; Stefan Blankenberg Journal: JAMA Date: 2009-07-08 Impact factor: 56.272
Authors: Ramachandran S Vasan; Martin G Larson; Jayashri Aragam; Thomas J Wang; Gary F Mitchell; Sekar Kathiresan; Christopher Newton-Cheh; Joseph A Vita; Michelle J Keyes; Christopher J O'Donnell; Daniel Levy; Emelia J Benjamin Journal: BMC Med Genet Date: 2007-09-19 Impact factor: 2.103