Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course. (Articolo in rivista)

Type
Label
  • Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course. (Articolo in rivista) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1093/hmg/ddt205 (literal)
Alternative label
  • Graff M, Ngwa JS, Workalemahu T, Homuth G, Schipf S, Teumer A, Völzke H, Wallaschofski H, Abecasis GR, Edward L, Francesco C, Sanna S, Scheet P, Schlessinger D, Sidore C, Xiao X, Wang Z, Chanock SJ, Jacobs KB, Hayes RB, Hu F, Van Dam RM; GIANT Consortium, Crout RJ, Marazita ML, Shaffer JR, Atwood LD, Fox CS, Heard-Costa NL, White C, Choh AC, Czerwinski SA, Demerath EW, Dyer TD, Towne B, Amin N, Oostra BA, Van Duijn CM, Zillikens MC, Esko T, Nelis M, Nikopensius T, Metspalu A, Strachan DP, Monda K, Qi L, North KE, Cupples LA, Gordon-Larsen P, Berndt SI. (2013)
    Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course.
    in Human molecular genetics (Print)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Graff M, Ngwa JS, Workalemahu T, Homuth G, Schipf S, Teumer A, Völzke H, Wallaschofski H, Abecasis GR, Edward L, Francesco C, Sanna S, Scheet P, Schlessinger D, Sidore C, Xiao X, Wang Z, Chanock SJ, Jacobs KB, Hayes RB, Hu F, Van Dam RM; GIANT Consortium, Crout RJ, Marazita ML, Shaffer JR, Atwood LD, Fox CS, Heard-Costa NL, White C, Choh AC, Czerwinski SA, Demerath EW, Dyer TD, Towne B, Amin N, Oostra BA, Van Duijn CM, Zillikens MC, Esko T, Nelis M, Nikopensius T, Metspalu A, Strachan DP, Monda K, Qi L, North KE, Cupples LA, Gordon-Larsen P, Berndt SI. (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Department of Epidemiology and 2Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA 3Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA 4Department of Nutrition, Harvard School of Public Health, Boston, MA, USA 5Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany 6Institute for Community Medicine and 7Institute for Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany 8Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA 9Intramural Research Program, National Institute on Aging, Baltimore, MD, USA 10Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche, Cagliari, Italy 11Department of Epidemiology, University of Texas M. D. Anderson, Houston, TX, USA 12The Genetic Investigation of ANthropometric Traits (GIANT), 13Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA 14Core Genotyping Facility, SAIC-Frederick, Inc., NCI-Frederick, Frederick, MD 21702, USA 15New York University Medical Center, New York, NY 10016, USA 16Channing Laboratory, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA 17Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine, National University of Si ngapore, Singapore 18Department of Periodontics, West Virginia University, Morgantown, WV, USA 19Center for Craniofacial and Dental Genetics, Department of Oral Biology and 20Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA 21NHLBI's Framingham Heart Study, Framingham, MA, USA 22Department of Neurology, Boston University School of Medicine, Boston, MA, USA 23Wright State University School of Medicine, Dayton, OH, USA 24School of Public Health, University of Minnesota, Minneapolis, MN, USA 25Department of Genetics, Texas Biomedical Research Institute, Houston, TX, USA 26Department of Epidemiology and 27Department of Internal Medicine, Erasmus MC, Rotterdam, the Netherlands 28Centre of Medical Systems Biology, Leiden, the Netherlands 29Estonian Genome Center and 30Institute of Molecular and Cell Biology, University of Tartu, Tartu, Estonia 31Estonian Biocentre, Tartu, Estonia 32Department of Medical Genetics and Development, University of Geneva Medical School, Geneva, Switzerland 33Division of Population Health Sciences and Education, St George's University of London, London, UK 34The Center for Observational Research, Amgen, Inc., Thousand Oaks, CA, USA 35Carolina Center for Genome Sciences and 36Department of Nutrition, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA (literal)
Titolo
  • Genome-wide analysis of BMI in adolescents and young adults reveals additional insight into the effects of genetic loci over the life course. (literal)
Abstract
  • Genetic loci for body mass index (BMI) in adolescence and young adulthood, a period of high risk for weight gain, are understudied, yet may yield important insight into the etiology of obesity and early intervention. To identify novel genetic loci and examine the influence of known loci on BMI during this critical time period in late adolescence and early adulthood, we performed a two-stage meta-analysis using 14 genome-wide association studies in populations of European ancestry with data on BMI between ages 16 and 25 in up to 29 880 individuals. We identified seven independent loci (P < 5.0 × 10??) near FTO (P = 3.72 × 10?²³), TMEM18 (P = 3.24 × 10?¹?), MC4R (P = 4.41 × 10?¹?), TNNI3K (P = 4.32 × 10?¹¹), SEC16B (P = 6.24 × 10??), GNPDA2 (P = 1.11 × 10??) and POMC (P = 4.94 × 10??) as well as a potential secondary signal at the POMC locus (rs2118404, P = 2.4 × 10?? after conditioning on the established single-nucleotide polymorphism at this locus) in adolescents and young adults. To evaluate the impact of the established genetic loci on BMI at these young ages, we examined differences between the effect sizes of 32 published BMI loci in European adult populations (aged 18-90) and those observed in our adolescent and young adult meta-analysis. Four loci (near PRKD1, TNNI3K, SEC16B and CADM2) had larger effects and one locus (near SH2B1) had a smaller effect on BMI during adolescence and young adulthood compared with older adults (P < 0.05). These results suggest that genetic loci for BMI can vary in their effects across the life course, underlying the importance of evaluating BMI at different ages. (literal)
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