Literature DB >> 1778661

Commingling analysis of generalized body mass and composition measures: the Québec Family Study.

I B Borecki1, T Rice, C Bouchard, D C Rao.   

Abstract

Human body mass and composition are heterogeneous phenotypes resulting from the combined effects of genes, environmental factors, and their interactions. In order to gain an understanding of the individual genetic determinants leading to obesity, we have initiated a systematic analysis of several measures of fatness and its phenotypes including: the body mass index (wt/ht2), fat mass, fat-free (lean) mass, the ratio of fat mass over fat-free mass, percent body fat, and a fat mass index (fat mass/ht). In this report, we examine the distributions of these age and sex adjusted variables in a large family study from Québec in terms of evidence for commingling and skewness, and evaluate the inter-relationships among the measures. Fat mass, fat-free mass and the fat mass index conceptually represent primary variables in that they are quantitative measures of relevant components of total body weight; the hypothesis of a single distribution was inferred for each of these primary measures, with significant residual skewness except for fat mass. In general, offspring (8-26 years old) distributions were more positively skewed than parent (30-60 years old) distributions. The remaining variables (body mass index, fat mass to fat-free mass ratio, and percent body fat) are indexes combining information on fat and fat-free mass into single measures. Although offspring data were consistent with a single skewed distribution, commingling was found in the parents in each case. The prominent heterogeneity between generations suggests that there may be significant developmental (genetic or environmental) effects in the transition during growing years to adult pattern phenotypes, particularly for the complex indicators of body composition.

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Mesh:

Year:  1991        PMID: 1778661

Source DB:  PubMed          Journal:  Int J Obes


  8 in total

1.  Quantitative-trait loci influencing body-mass index reside on chromosomes 7 and 13: the National Heart, Lung, and Blood Institute Family Heart Study.

Authors:  Mary F Feitosa; Ingrid B Borecki; Stephen S Rich; Donna K Arnett; Phyliss Sholinsky; Richard H Myers; Mark Leppert; Michael A Province
Journal:  Am J Hum Genet       Date:  2001-11-16       Impact factor: 11.025

2.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

3.  Segregation analysis of fat mass and other body composition measures derived from underwater weighing.

Authors:  T Rice; I B Borecki; C Bouchard; D C Rao
Journal:  Am J Hum Genet       Date:  1993-05       Impact factor: 11.025

4.  Influence of genotype-dependent effects of covariates on the outcome of segregation analysis of the body mass index.

Authors:  I B Borecki; G E Bonney; T Rice; C Bouchard; D C Rao
Journal:  Am J Hum Genet       Date:  1993-09       Impact factor: 11.025

5.  Utility of Body Mass Index in Identifying Excess Adiposity in Youth Across the Obesity Spectrum.

Authors:  Justin R Ryder; Alexander M Kaizer; Kyle D Rudser; Stephen R Daniels; Aaron S Kelly
Journal:  J Pediatr       Date:  2016-08-02       Impact factor: 4.406

6.  Implications of gene-behavior interactions: prevention and intervention for obesity.

Authors:  Molly S Bray
Journal:  Obesity (Silver Spring)       Date:  2008-12       Impact factor: 5.002

7.  Mapping of body weight loci on mouse chromosome X.

Authors:  T A Dragani; Z B Zeng; F Canzian; M Gariboldi; M T Ghilarducci; G Manenti; M A Pierotti
Journal:  Mamm Genome       Date:  1995-11       Impact factor: 2.957

8.  Comparison between two analytic strategies to detect linkage to obesity with genetically determined age of onset: the Framingham Heart Study.

Authors:  Corinne D Engelman; Heather L Brady; Anna E Baron; Jill M Norris
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  8 in total

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