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Graff, M.* ; Ngwa, J.S.* ; Workalemahu, T.* ; Homuth, G.* ; Schipf, S.* ; Teumer, A.* ; Völzke, H.* ; Wallaschofski, H.* ; Abecasis, G.R.* ; Edward, L.* ; Francesco, C.* ; Sanna, S.* ; Scheet, P.* ; Schlessinger, D.* ; Sidore, C.* ; Xiao, X.* ; Wang, Z.* ; Chanock, S.J.* ; Jacobs, K.B.* ; Hayes, R.B.* ; Hu, F.* ; van Dam, R.M.* ; GIANT Consortium (Heid, I.M. ; Grallert, H. ; Wichmann, H.-E. ; Thiering, E. ; Gieger, C. ; Illig, T. ; Heinrich, J. ; Peters, A.) ; Crout, R.J.* ; Marazita, M.L.* ; Shaffer, J.R.* ; Atwood, L.D.* ; Fox, C.S.* ; Heard-Costa, N.L.* ; White, C.* ; Choh, A.C.* ; Czerwinski, S.A.* ; Demerath, E.W.* ; Dyer, T.D.* ; Towne, B.* ; Amin, N.* ; Oostra, B.A.* ; van Duijn, C.M.* ; Zillikens, M.C.* ; Esko, T.* ; Nelis, M.* ; Nikopensius, T.* ; Metspalu, A.* ; Strachan, D.P.* ; Monda, K.L.* ; Qi, L.* ; North, K.E.* ; Cupples, L.A.* ; Gordon-Larsen, P.* ; Berndt, S.I.*

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

Hum. Mol. Genet. 22, 3597-3607 (2013)
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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 × 10⁻⁸) near FTO (P = 3.72 × 10⁻²³), TMEM18 (P = 3.24 × 10⁻¹⁷), MC4R (P = 4.41 × 10⁻¹⁷), TNNI3K (P = 4.32 × 10⁻¹¹), SEC16B (P = 6.24 × 10⁻⁹), GNPDA2 (P = 1.11 × 10⁻⁸) and POMC (P = 4.94 × 10⁻⁸) as well as a potential secondary signal at the POMC locus (rs2118404, P = 2.4 × 10⁻⁵ 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.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Sprache englisch
Veröffentlichungsjahr 2013
HGF-Berichtsjahr 2013
ISSN (print) / ISBN 0964-6906
e-ISSN 1460-2083
Quellenangaben Band: 22, Heft: 17, Seiten: 3597-3607 Artikelnummer: , Supplement: ,
Verlag Oxford University Press
Begutachtungsstatus Peer reviewed
POF Topic(s) 30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
30201 - Metabolic Health
30503 - Chronic Diseases of the Lung and Allergies
30202 - Environmental Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504100-001
G-521500-002
G-503900-001
G-504200-001
G-504000-002
PubMed ID 23669352
Erfassungsdatum 2013-11-13