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
Affiliations
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
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"
Gesundheitsregion Ostseeküste - HICARE; Projektfeld 4: "IT & Epidemiologie"

