AIMS: To investigate the relative contribution of genetic and environmental factors on smoking trajectory membership and to test whether individual smoking trajectories represent phenotypical thresholds of increasing genetic risk along a common genetic liability dimension. DESIGN: Prospective study of a birth cohort of female like-sex twin pairs. SETTING: Participants completed diagnostic interview surveys four times from adolescence (average age 16) to young adulthood (average age 25). PARTICIPANTS: Female twins who had smoked ≥100 cigarettes life-time (n = 1466 regular smokers). MEASUREMENTS: Number of cigarettes smoked per day during the heaviest period of smoking (two waves) or during the past 12 months (two waves). FINDINGS: A four-trajectory class solution provided the best fit to cigarette consumption data and was characterized by low (n = 564, 38.47%), moderate (n = 366, 24.97%) and high-level smokers (n = 197, 13.44%), and smokers who increased their smoking from adolescence to young adulthood (n =339, 23.12%). The best genetic model fit was a three-category model that comprised the low, a combined increasing + moderate and high trajectories. This trajectory categorization was heritable (72.7%), with no evidence for significant contribution from shared environmental factors. CONCLUSIONS: The way in which smoking patterns develop in adolescence has a high level of heritability.
AIMS: To investigate the relative contribution of genetic and environmental factors on smoking trajectory membership and to test whether individual smoking trajectories represent phenotypical thresholds of increasing genetic risk along a common genetic liability dimension. DESIGN: Prospective study of a birth cohort of female like-sex twin pairs. SETTING:Participants completed diagnostic interview surveys four times from adolescence (average age 16) to young adulthood (average age 25). PARTICIPANTS: Female twins who had smoked ≥100 cigarettes life-time (n = 1466 regular smokers). MEASUREMENTS: Number of cigarettes smoked per day during the heaviest period of smoking (two waves) or during the past 12 months (two waves). FINDINGS: A four-trajectory class solution provided the best fit to cigarette consumption data and was characterized by low (n = 564, 38.47%), moderate (n = 366, 24.97%) and high-level smokers (n = 197, 13.44%), and smokers who increased their smoking from adolescence to young adulthood (n =339, 23.12%). The best genetic model fit was a three-category model that comprised the low, a combined increasing + moderate and high trajectories. This trajectory categorization was heritable (72.7%), with no evidence for significant contribution from shared environmental factors. CONCLUSIONS: The way in which smoking patterns develop in adolescence has a high level of heritability.
Authors: David J Vandenbergh; Gabriel L Schlomer; H Harrington Cleveland; Alisa E Schink; Kerry L Hair; Mark E Feinberg; Jenae M Neiderhiser; Mark T Greenberg; Richard L Spoth; Cleve Redmond Journal: Nicotine Tob Res Date: 2015-05-04 Impact factor: 4.244
Authors: Marc A Schuckit; Tom L Smith; George P Danko; Kathleen K Bucholz; Arpana Agrawal; Danielle M Dick; John I Nurnberger; John Kramer; Michie Hesselbrock; Gretchen Saunders; Victor Hesselbrock Journal: J Stud Alcohol Drugs Date: 2014-01 Impact factor: 2.582
Authors: Ke Xu; Boyang Li; Kathleen A McGinnis; Rachel Vickers-Smith; Cecilia Dao; Ning Sun; Rachel L Kember; Hang Zhou; William C Becker; Joel Gelernter; Henry R Kranzler; Hongyu Zhao; Amy C Justice Journal: Nat Commun Date: 2020-10-20 Impact factor: 14.919