OBJECTIVE: To investigate the interplay between genetic factors influencing baseline level and changes in BMI in adulthood. METHODS AND PROCEDURES: A longitudinal twin study of the cohort of Finnish twins (N = 10,556 twin individuals) aged 20-46 years at baseline was conducted and followed up 15 years. Data on weight and height were obtained from mailed surveys in 1975, 1981, and 1990. RESULTS: Latent growth models revealed a substantial genetic influence on BMI level at baseline in males and females (heritability (h(2)) 80% (95% confidence interval 0.79-0.80) for males and h(2) = 82% (0.81, 0.84) for females) and a moderate-to-high influence on rate of change in BMI (h(2) = 58% (0.50, 0.69) for males and h(2) = 64% (0.58, 0.69) for females). Only very weak evidence for genetic pleiotropy was observed; the genetic correlation between baseline and rate of change in BMI was very modest (-0.070 (-0.13, -0.068) for males and 0.04 (0.00, 0.08) for females. DISCUSSION: Our population-based results provide a basis for identifying genetic variants for change in BMI, in particular weight gain. Furthermore, they demonstrate for the first time that such genetic variants for change in BMI are likely to be different from those affecting level of BMI.
OBJECTIVE: To investigate the interplay between genetic factors influencing baseline level and changes in BMI in adulthood. METHODS AND PROCEDURES: A longitudinal twin study of the cohort of Finnish twins (N = 10,556 twin individuals) aged 20-46 years at baseline was conducted and followed up 15 years. Data on weight and height were obtained from mailed surveys in 1975, 1981, and 1990. RESULTS: Latent growth models revealed a substantial genetic influence on BMI level at baseline in males and females (heritability (h(2)) 80% (95% confidence interval 0.79-0.80) for males and h(2) = 82% (0.81, 0.84) for females) and a moderate-to-high influence on rate of change in BMI (h(2) = 58% (0.50, 0.69) for males and h(2) = 64% (0.58, 0.69) for females). Only very weak evidence for genetic pleiotropy was observed; the genetic correlation between baseline and rate of change in BMI was very modest (-0.070 (-0.13, -0.068) for males and 0.04 (0.00, 0.08) for females. DISCUSSION: Our population-based results provide a basis for identifying genetic variants for change in BMI, in particular weight gain. Furthermore, they demonstrate for the first time that such genetic variants for change in BMI are likely to be different from those affecting level of BMI.
Authors: Christine M Williams; Jose M Ordovas; Dennis Lairon; John Hesketh; Georg Lietz; Mike Gibney; Ben van Ommen Journal: Genes Nutr Date: 2008-07 Impact factor: 5.523
Authors: Sungshim Lani Park; Iona Cheng; Sarah A Pendergrass; Anna M Kucharska-Newton; Unhee Lim; Jose Luis Ambite; Christian P Caberto; Kristine R Monroe; Fredrick Schumacher; Lucia A Hindorff; Matthew T Oetjens; Sarah Wilson; Robert J Goodloe; Shelly-Ann Love; Brian E Henderson; Laurence N Kolonel; Christopher A Haiman; Dana C Crawford; Kari E North; Gerardo Heiss; Marylyn D Ritchie; Lynne R Wilkens; Loïc Le Marchand Journal: Am J Epidemiol Date: 2013-07-02 Impact factor: 4.897
Authors: Jian Gong; Fredrick Schumacher; Unhee Lim; Lucia A Hindorff; Jeff Haessler; Steven Buyske; Christopher S Carlson; Stephanie Rosse; Petra Bůžková; Myriam Fornage; Myron Gross; Nathan Pankratz; James S Pankow; Pamela J Schreiner; Richard Cooper; Georg Ehret; C Charles Gu; Denise Houston; Marguerite R Irvin; Rebecca Jackson; Lew Kuller; Brian Henderson; Iona Cheng; Lynne Wilkens; Mark Leppert; Cora E Lewis; Rongling Li; Khanh-Dung H Nguyen; Robert Goodloe; Eric Farber-Eger; Jonathan Boston; Holli H Dilks; Marylyn D Ritchie; Jay Fowke; Loreall Pooler; Misa Graff; Lindsay Fernandez-Rhodes; Barbara Cochrane; Eric Boerwinkle; Charles Kooperberg; Tara C Matise; Loic Le Marchand; Dana C Crawford; Christopher A Haiman; Kari E North; Ulrike Peters Journal: Am J Hum Genet Date: 2013-10-03 Impact factor: 11.025