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Original article | published - printed | peer reviewed

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


HUMAN MOLECULAR GENETICS 2013 ; 22(17): 3597 - 3607






Bibliometric indicators



Impact Factor = 6.677

Citations (WOS) = 0

DOI = 10.1093/hmg/ddt205

PubMed-ID = 23669352


Authors

Graff M*, Ngwa J, Workalemahu T, Homuth G1, Schipf S2, Teumer A1, Völzke H2, Wallaschofski H3, Abecasis G, Edward L, Francesco C, Sanna S, Scheet P, Schlessinger D, Sidore C, Xiao X, Wang Z, Chanock S, Jacobs K, Hayes R, Hu F, Van Dam R, Crout R, Marazita M, Shaffer J, Atwood L, Fox C, Heard-Costa N, White C, Choh A, Czerwinski S, Demerath E, Dyer T, Towne B, Amin N, Oostra B, Van Duijn C, Zillikens M, Esko T, Nelis M, Nikopensius T, Metspalu A, Strachan D, Monda K, Qi L, North K, Cupples L, Gordon-Larsen P, Berndt S


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(-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.

Published in

HUMAN MOLECULAR GENETICS


Year 2013
Impact Factor (2013) 6.677
Volume 22
Issue 17
Pages 3597 - 3607
Open Access nein
Peer reviewed ja
Article type Original article
Article state published - printed
DOI 10.1093/hmg/ddt205
PubMed-ID 23669352

Common journal data

Short name: HUM MOL GENET
ISSN: 0964-6906
eISSN: 1460-2083
Country: ENGLAND
Language: English


Impact factor trend

Year Impact Factor
2008 7.249
2009 7.386
2010 8.058
2011 7.636
2012 7.692
2013 6.677
2014 6.393
2015 5.985
2016 5.34
2017 4.902
2018 4.544
2019 5.1
2020 6.15
2021 5.121
2022 3.5
2023 3.1
2024 3.2

Projects

GANI_MED Greifswald Approach to Individualized Medicine (Projektverbund)
Gesundheitsregion Ostseeküste - HICARE; Projektfeld 4: "IT & Epidemiologie"

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