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FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals.
Qi, Qibin; Kilpeläinen, Tuomas O; Downer, Mary K; Tanaka, Toshiko; Smith, Caren E; Sluijs, Ivonne; Sonestedt, Emily; Chu, Audrey Y; Renström, Frida; Lin, Xiaochen; Ängquist, Lars H; Huang, Jinyan; Liu, Zhonghua; Li, Yanping; Asif Ali, Muhammad; Xu, Min; Ahluwalia, Tarunveer Singh; Boer, Jolanda M A; Chen, Peng; Daimon, Makoto; Eriksson, Johan; Perola, Markus; Friedlander, Yechiel; Gao, Yu-Tang; Heppe, Denise H M; Holloway, John W; Houston, Denise K; Kanoni, Stavroula; Kim, Yu-Mi; Laaksonen, Maarit A; Jääskeläinen, Tiina; Lee, Nanette R; Lehtimäki, Terho; Lemaitre, Rozenn N; Lu, Wei; Luben, Robert N; Manichaikul, Ani; Männistö, Satu; Marques-Vidal, Pedro; Monda, Keri L; Ngwa, Julius S; Perusse, Louis; van Rooij, Frank J A; Xiang, Yong-Bing; Wen, Wanqing; Wojczynski, Mary K; Zhu, Jingwen; Borecki, Ingrid B; Bouchard, Claude; Cai, Qiuyin.
Afiliación
  • Qi Q; Department of Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA Department of Nutrition and.
  • Kilpeläinen TO; MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Institute of Metabolic Science, Cambridge Biomedical Campus, Cambridge, UK The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and.
  • Downer MK; Department of Nutrition and.
  • Tanaka T; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA.
  • Smith CE; Nutrition and Genomics Laboratory, Jean Mayer USDA HNRCA at Tufts University, Boston, MA, USA.
  • Sluijs I; Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands.
  • Sonestedt E; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.
  • Chu AY; Division of Preventive Medicine.
  • Renström F; Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Sweden.
  • Lin X; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
  • Ängquist LH; Institute of Preventive Medicine, Bispebjerg and Frederiksberg Hospital, The Capital Region, Copenhagen, Denmark.
  • Huang J; State Key Laboratory of Medical Genomics, Shanghai Institute of Hematology, Rui Jin Hospital Affiliated with Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Liu Z; Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA.
  • Li Y; Department of Nutrition and.
  • Asif Ali M; Department of Nutrition and.
  • Xu M; Department of Nutrition and.
  • Ahluwalia TS; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences and Copenhagen Prospective Studies on Asthma in Childhood, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark Danish Pediatric Ast
  • Boer JM; Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
  • Chen P; Saw Swee Hock School of Public Health and.
  • Daimon M; Department of Endocrinology and Metabolism, Graduate School of Medicine, Hirosaki University, Hirosaki, Aomori, Japan Department of Neurology, Hematology, Metabolism, Endocrinology and Diabetology, Yamagata University Faculty of Medicine, Yamagata, Japan.
  • Eriksson J; Department of General Practice and Primary Health Care National Institute for Health and Welfare, Helsinki, Finland.
  • Perola M; Institute for Molecular Medicine National Institute for Health and Welfare, Helsinki, Finland Estonian Genome Center, University of Tartu, Tartu, Estonia.
  • Friedlander Y; School of Public Health, The Hebrew University of Jerusalem, Jerusalem, Israel.
  • Gao YT; Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Heppe DH; The Generation R Study Group Department of Epidemiology Department of Pediatrics.
  • Holloway JW; Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK.
  • Houston DK; Department of Internal Medicine, Section on Gerontology and Geriatric Medicine.
  • Kanoni S; William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK.
  • Kim YM; Department of Preventive Medicine, Dong-A University College of Medicine, Busan, Korea.
  • Laaksonen MA; National Institute for Health and Welfare, Helsinki, Finland.
  • Jääskeläinen T; Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
  • Lee NR; USC Office of Population Studies Foundation, Inc., University of San Carlos, Cebu, Philippines.
  • Lehtimäki T; Department of Clinical Chemistry, Fimlab Laboratories and School of Medicine, University of Tampere, Tampere, Finland.
  • Lemaitre RN; Cardiovascular Health Research Unit, Department of Medicine and.
  • Lu W; Shanghai Institute of Preventive Medicine, Shanghai, China.
  • Luben RN; Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, UK.
  • Manichaikul A; Center for Public Health Genomics Department of Public Health Sciences, Division of Biostatistics and Epidemiology, University of Virginia, Charlottesville, VA, USA.
  • Männistö S; National Institute for Health and Welfare, Helsinki, Finland.
  • Marques-Vidal P; Institute of Social and Preventive Medicine, Bâtiment Biopôle 2, Route de la Corniche 10, CH-1010 Lausanne, Switzerland Department of Medicine, CHUV, Rue du Bugnon 21, CH-1011 Lausanne, Switzerland.
  • Monda KL; Department of Epidemiology Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA.
  • Ngwa JS; Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  • Perusse L; Department of Kinesiology, Laval University, Ste-Foy, QC, Canada.
  • van Rooij FJ; Department of Epidemiology The Netherlands Genomics Initiative sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden, The Netherlands.
  • Xiang YB; Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Wen W; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
  • Wojczynski MK; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Zhu J; Key Laboratory of Nutrition and Metabolism, Institute for Nutritional Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences and Graduate School of the Chinese Academy of Sciences, Shanghai, China.
  • Borecki IB; Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
  • Bouchard C; Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.
  • Cai Q; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Hum Mol Genet ; 23(25): 6961-72, 2014 Dec 20.
Article en En | MEDLINE | ID: mdl-25104851
FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 × 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 × 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ingestión de Energía / Proteínas en la Dieta / Proteínas / Polimorfismo de Nucleótido Simple / Obesidad Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2014 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Ingestión de Energía / Proteínas en la Dieta / Proteínas / Polimorfismo de Nucleótido Simple / Obesidad Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Hum Mol Genet Asunto de la revista: BIOLOGIA MOLECULAR / GENETICA MEDICA Año: 2014 Tipo del documento: Article