Literature DB >> 2591975

Commingling analysis of obesity in twins.

R A Price1, A J Stunkard.   

Abstract

Evidence is presented for multiple components in the distribution of human fatness across several large twin samples, after removing age effects and allowing for residual skewness in component distributions. The upper component distributions corresponded to overweight or obesity in samples of middle-aged or older individuals. A bivariate analysis demonstrated that, while monozygotic co-twins appeared to be drawn from the same component distributions (normal or overweight), the twin correlations varied across components, with the lowest correlation in the overweight group. While these analyses cannot provide a definitive test of competing genetic and environmental hypotheses, this approach is useful for generating hypotheses about the causes of obesity. When combined with other published literature, our results suggest that the genetic background largely determines the propensity to become obese. Whether a predisposed person becomes obese and the extent of obesity depend on environmental exposures that are largely independent of early family experience. Both genes and environment appear to be important in obesity, but it appears that some genotypes may be much more sensitive to the environment than are others.

Entities:  

Mesh:

Year:  1989        PMID: 2591975     DOI: 10.1159/000153848

Source DB:  PubMed          Journal:  Hum Hered        ISSN: 0001-5652            Impact factor:   0.444


  8 in total

1.  Body fat in identical twins reared apart: roles for genes and environment.

Authors:  R A Price; I I Gottesman
Journal:  Behav Genet       Date:  1991-01       Impact factor: 2.805

2.  Brain regulation of appetite in twins.

Authors:  Susan J Melhorn; Sonya Mehta; Mario Kratz; Vidhi Tyagi; Mary F Webb; Carolyn J Noonan; Dedra S Buchwald; Jack Goldberg; Kenneth R Maravilla; Thomas J Grabowski; Ellen A Schur
Journal:  Am J Clin Nutr       Date:  2016-01-06       Impact factor: 7.045

3.  Tracking of body mass index from 7 to 69 years of age.

Authors:  J Aarestrup; L G Bjerregaard; M Gamborg; L Ängquist; A Tjønneland; K Overvad; A Linneberg; M Osler; E L Mortensen; F Gyntelberg; R Lund; T I A Sørensen; J L Baker
Journal:  Int J Obes (Lond)       Date:  2016-05-11       Impact factor: 5.095

4.  Nongenetic influences of obesity on other cardiovascular disease risk factors: an analysis of identical twins.

Authors:  B Newman; J V Selby; C P Quesenberry; M C King; G D Friedman; R R Fabsitz
Journal:  Am J Public Health       Date:  1990-06       Impact factor: 9.308

5.  Using nature to understand nurture.

Authors:  T B VanItallie; A J Stunkard
Journal:  Am J Public Health       Date:  1990-06       Impact factor: 9.308

6.  Segregation of a latent high adiposity phenotype in families with a history of type 2 diabetes mellitus implicates rare obesity-susceptibility genetic variants with large effects in diabetes-related obesity.

Authors:  Arthur B Jenkins; Marijka Batterham; Dorit Samocha-Bonet; Katherine Tonks; Jerry R Greenfield; Lesley V Campbell
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

7.  Comprehensive Map of Molecules Implicated in Obesity.

Authors:  Jaisri Jagannadham; Hitesh Kumar Jaiswal; Stuti Agrawal; Kamal Rawal
Journal:  PLoS One       Date:  2016-02-17       Impact factor: 3.240

8.  The influence of transmitted and non-transmitted parental BMI-associated alleles on the risk of overweight in childhood.

Authors:  Theresia M Schnurr; Camilla S Morgen; Dmitrii Borisevich; Robin N Beaumont; Line Engelbrechtsen; Lars Ängquist; Christian T Have; Rachel M Freathy; George Davey Smith; Ellen A Nohr; Torben Hansen; Thorkild I A Sørensen
Journal:  Sci Rep       Date:  2020-03-16       Impact factor: 4.379

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.