OBJECTIVE: A previous epidemiological study showed an association of the insulin-induced gene 2 (INSIG2) gene with BMI. Additionally, experimental investigations in animals and cell culture provided evidence that this gene might be involved in lipoprotein and free fatty acid (FFA) metabolism. Therefore, the aim of this study was to examine the association between the rs7566605 variant near the INSIG2 gene and BMI and to extend it to other quantitative measures of obesity, as well as parameters of lipoprotein and FFA metabolism. METHODS AND PROCEDURES: We genotyped rs7566605 in a group of severely obese white patients (n = 1,026) with an average BMI of 46.0 kg/m(2) and a control group (n = 818) from Utah, as well as in the Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk (SAPHIR) study from Austria, which is based on a healthy working population (n = 1,696). RESULTS: We observed no difference in the genotype frequency of rs7566605 of INSIG2 between obese subjects and population-based controls from Utah. Furthermore, we did not find evidence of an association with measures of body composition (BMI, waist, waist-to-hip ratio, percentage body fat, amount of visceral and subcutaneous abdominal adipose fat) or lipoprotein metabolism (total cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglycerides, and FFAs) in the Utah study population or in the independent SAPHIR study. DISCUSSION: Our results do not support an association of the INSIG2 gene with the regulation of body weight or parameters related to lipoprotein metabolism.
OBJECTIVE: A previous epidemiological study showed an association of the insulin-induced gene 2 (INSIG2) gene with BMI. Additionally, experimental investigations in animals and cell culture provided evidence that this gene might be involved in lipoprotein and free fatty acid (FFA) metabolism. Therefore, the aim of this study was to examine the association between the rs7566605 variant near the INSIG2 gene and BMI and to extend it to other quantitative measures of obesity, as well as parameters of lipoprotein and FFA metabolism. METHODS AND PROCEDURES: We genotyped rs7566605 in a group of severely obese whitepatients (n = 1,026) with an average BMI of 46.0 kg/m(2) and a control group (n = 818) from Utah, as well as in the Salzburg Atherosclerosis Prevention Program in Subjects at High Individual Risk (SAPHIR) study from Austria, which is based on a healthy working population (n = 1,696). RESULTS: We observed no difference in the genotype frequency of rs7566605 of INSIG2 between obese subjects and population-based controls from Utah. Furthermore, we did not find evidence of an association with measures of body composition (BMI, waist, waist-to-hip ratio, percentage body fat, amount of visceral and subcutaneous abdominal adipose fat) or lipoprotein metabolism (total cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, triglycerides, and FFAs) in the Utah study population or in the independent SAPHIR study. DISCUSSION: Our results do not support an association of the INSIG2 gene with the regulation of body weight or parameters related to lipoprotein metabolism.
Authors: Steven C Hunt; Sandra J Hasstedt; Yuanpei Xin; Brian K Dalley; Brett A Milash; Emanuel Yakobson; Richard E Gress; Lance E Davidson; Ted D Adams Journal: Obesity (Silver Spring) Date: 2011-08-04 Impact factor: 5.002
Authors: Ranjan Deka; Ling Xu; Prodipto Pal; Palanitina T Toelupe; Tuiasina S Laumoli; Huifeng Xi; Ge Zhang; Daniel E Weeks; Stephen T McGarvey Journal: BMC Med Genet Date: 2009-12-22 Impact factor: 2.103
Authors: Kimberly A Skelding; Glenn S Gerhard; Helen Vlachos; Faith Selzer; Sheryl F Kelsey; Xin Chu; Robert Erdman; David O Williams; Kevin E Kip Journal: BMC Cardiovasc Disord Date: 2010-09-29 Impact factor: 2.298
Authors: Daniele Campa; Anika Hüsing; James D McKay; Olga Sinilnikova; Ulla Vogel; Anne Tjønneland; Kim Overvad; Jakob Stegger; Françoise Clavel-Chapelon; Nathalie Chabbert-Buffet; Guy Fagherazzi; Antonia Trichopoulou; Dimosthenis Zylis; Erifili Oustoglou; Sabine Rohrmann; Birgit Teucher; Eva Fisher; Heiner Boeing; Giovanna Masala; Vittorio Krogh; Carlotta Sacerdote; Salvatore Panico; Rosario Tumino; N Charlotte Onland-Moret; Carla H van Gils; H Bas Bueno-de-Mesquita; Eiliv Lund; María Dolores Chirlaque; Núria Sala; José Ramon Quirós; Eva Ardanaz; Pilar Amiano; Esther Molina-Montes; Göran Hallmans; Per Lenner; Ruth C Travis; Timothy J Key; Nick Wareham; Kay-Tee Khaw; Sabina Rinaldi; Nadia Slimani; Veronique Chajes; Afshan Siddiq; Elio Riboli; Rudolf Kaaks; Federico Canzian Journal: BMC Cancer Date: 2010-10-18 Impact factor: 4.430
Authors: Jan Bressler; Myriam Fornage; Craig L Hanis; Wen Hong Linda Kao; Cora E Lewis; Ruth McPherson; Robert Dent; Thomas H Mosley; Len A Pennacchio; Eric Boerwinkle Journal: BMC Med Genet Date: 2009-06-12 Impact factor: 2.103
Authors: Iris M Heid; Cornelia Huth; Ruth J F Loos; Florian Kronenberg; Vera Adamkova; Sonia S Anand; Kristin Ardlie; Heike Biebermann; Peter Bjerregaard; Heiner Boeing; Claude Bouchard; Marina Ciullo; Jackie A Cooper; Dolores Corella; Christian Dina; James C Engert; Eva Fisher; Francesc Francès; Philippe Froguel; Johannes Hebebrand; Robert A Hegele; Anke Hinney; Margret R Hoehe; Frank B Hu; Jaroslav A Hubacek; Steve E Humphries; Steven C Hunt; Thomas Illig; Marjo-Riita Järvelin; Marika Kaakinen; Barbara Kollerits; Heiko Krude; Jitender Kumar; Leslie A Lange; Birgit Langer; Shengxu Li; Andreas Luchner; Helen N Lyon; David Meyre; Karen L Mohlke; Vincent Mooser; Almut Nebel; Thuy Trang Nguyen; Bernhard Paulweber; Louis Perusse; Lu Qi; Tuomo Rankinen; Dieter Rosskopf; Stefan Schreiber; Shantanu Sengupta; Rossella Sorice; Anita Suk; Gudmar Thorleifsson; Unnur Thorsteinsdottir; Henry Völzke; Karani S Vimaleswaran; Nicholas J Wareham; Dawn Waterworth; Salim Yusuf; Cecilia Lindgren; Mark I McCarthy; Christoph Lange; Joel N Hirschhorn; Nan Laird; H-Erich Wichmann Journal: PLoS Genet Date: 2009-10-23 Impact factor: 5.917