Literature DB >> 24029162

Body mass index modulates blood pressure heritability: the Family Blood Pressure Program.

Jeannette Simino1, Gang Shi, Alan Weder, Eric Boerwinkle, Steven C Hunt, Dabeeru C Rao.   

Abstract

BACKGROUND: Candidate gene and twin studies suggest that interactions between body mass index (BMI) and genes contribute to the variability of blood pressure (BP). To determine whether there is evidence for gene-BMI interactions, we investigated the modulation of BP heritability by BMI using 4,153 blacks, 1,538 Asians, 4,013 whites, and 2,199 Hispanic Americans from the Family Blood Pressure Program.
METHODS: To capture the BP heritability dependence on BMI, we employed a generalized variance components model incorporating linear and Gaussian interactions between BMI and the genetic component. Within each race and network subgroup, we used the Akaike information criterion and likelihood ratio test to select the appropriate interaction function for each BP trait (systolic BP (SBP), diastolic BP (DBP), mean arterial pressure (MAP), and pulse pressure (PP)) and determine interaction significance, respectively.
RESULTS: BP heritabilities were significantly modified by BMI in the GenNet and SAPPHIRe Networks, which contained the youngest and least-obese participants, respectively. GenNet Whites had unimodal SBP, MAP, and PP heritabilities that peaked between BMI values of 33 and 37kg/m(2). The SBP and MAP heritabilities in GenNet Hispanic Americans, as well as the PP heritability in GenNet blacks, were increasing functions of BMI. The DBP and SBP heritabilities in the SAPPHIRe Chinese and Japanese, respectively, were decreasing functions of BMI.
CONCLUSIONS: BP heritability differed by BMI in the youngest and least-obese networks, although the shape of this dependence differed by race. Use of nonlinear gene-BMI interactions may enhance BP gene discovery efforts in individuals of European ancestry.

Entities:  

Keywords:  BMI; FBPP; blood pressure; heritability; hypertension; interactions.

Mesh:

Year:  2013        PMID: 24029162      PMCID: PMC3958601          DOI: 10.1093/ajh/hpt144

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  36 in total

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Authors:  Sandosh Padmanabhan; Olle Melander; Toby Johnson; Anna Maria Di Blasio; Wai K Lee; Davide Gentilini; Claire E Hastie; Cristina Menni; Maria Cristina Monti; Christian Delles; Stewart Laing; Barbara Corso; Gerjan Navis; Arjan J Kwakernaak; Pim van der Harst; Murielle Bochud; Marc Maillard; Michel Burnier; Thomas Hedner; Sverre Kjeldsen; Björn Wahlstrand; Marketa Sjögren; Cristiano Fava; Martina Montagnana; Elisa Danese; Ole Torffvit; Bo Hedblad; Harold Snieder; John M C Connell; Morris Brown; Nilesh J Samani; Martin Farrall; Giancarlo Cesana; Giuseppe Mancia; Stefano Signorini; Guido Grassi; Susana Eyheramendy; H Erich Wichmann; Maris Laan; David P Strachan; Peter Sever; Denis Colm Shields; Alice Stanton; Peter Vollenweider; Alexander Teumer; Henry Völzke; Rainer Rettig; Christopher Newton-Cheh; Pankaj Arora; Feng Zhang; Nicole Soranzo; Timothy D Spector; Gavin Lucas; Sekar Kathiresan; David S Siscovick; Jian'an Luan; Ruth J F Loos; Nicholas J Wareham; Brenda W Penninx; Ilja M Nolte; Martin McBride; William H Miller; Stuart A Nicklin; Andrew H Baker; Delyth Graham; Robert A McDonald; Jill P Pell; Naveed Sattar; Paul Welsh; Patricia Munroe; Mark J Caulfield; Alberto Zanchetti; Anna F Dominiczak
Journal:  PLoS Genet       Date:  2010-10-28       Impact factor: 5.917

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Authors:  Xiaoling Wang; Haidong Zhu; Harold Snieder; Shaoyong Su; David Munn; Gregory Harshfield; Bernard L Maria; Yanbin Dong; Frank Treiber; Bernard Gutin; Huidong Shi
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10.  Genome-wide association study identifies eight loci associated with blood pressure.

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