Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits.

View Publication On PubMed

Abstract:

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located near NEDD4L and SLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 diabetes were detected (Rg ranging from 0.11 to 0.76, P-values <0.002). A negative genetic correlation of childhood BMI with age at menarche was observed. Our results suggest that the biological processes underlying childhood BMI largely, but not completely, overlap with those underlying adult BMI. The well-known observational associations of BMI in childhood with cardio-metabolic diseases in adulthood may reflect partial genetic overlap, but in light of previous evidence, it is also likely that they are explained through phenotypic continuity of BMI from childhood into adulthood.

PubMed ID: 33045005

Projects: Genetical Statistics and Systems Biology

Publication type: Journal article

Journal: PLoS Genet

Human Diseases: No Human Disease specified

Citation: PLoS Genet. 2020 Oct 12;16(10):e1008718. doi: 10.1371/journal.pgen.1008718. eCollection 2020 Oct.

Date Published: 13th Oct 2020

Registered Mode: by PubMed ID

Authors: S. Vogelezang, J. P. Bradfield, T. S. Ahluwalia, J. A. Curtin, T. A. Lakka, N. Grarup, M. Scholz, P. J. van der Most, C. Monnereau, E. Stergiakouli, A. Heiskala, M. Horikoshi, I. O. Fedko, N. Vilor-Tejedor, D. L. Cousminer, M. Standl, C. A. Wang, J. Viikari, F. Geller, C. Iniguez, N. Pitkanen, A. Chesi, J. Bacelis, L. Yengo, M. Torrent, I. Ntalla, O. Helgeland, S. Selzam, J. M. Vonk, M. H. Zafarmand, B. Heude, I. S. Farooqi, A. Alyass, R. N. Beaumont, C. T. Have, P. Rzehak, J. R. Bilbao, T. M. Schnurr, I. Barroso, K. Bonnelykke, L. J. Beilin, L. Carstensen, M. A. Charles, B. Chawes, K. Clement, R. Closa-Monasterolo, A. Custovic, J. G. Eriksson, J. Escribano, M. Groen-Blokhuis, V. Grote, D. Gruszfeld, H. Hakonarson, T. Hansen, A. T. Hattersley, M. Hollensted, J. J. Hottenga, E. Hypponen, S. Johansson, R. Joro, M. Kahonen, V. Karhunen, W. Kiess, B. A. Knight, B. Koletzko, A. Kuhnapfel, K. Landgraf, J. P. Langhendries, T. Lehtimaki, J. T. Leinonen, A. Li, V. Lindi, E. Lowry, M. Bustamante, C. Medina-Gomez, M. Melbye, K. F. Michaelsen, C. S. Morgen, T. A. Mori, T. R. H. Nielsen, H. Niinikoski, A. J. Oldehinkel, K. Pahkala, K. Panoutsopoulou, O. Pedersen, C. E. Pennell, C. Power, S. A. Reijneveld, F. Rivadeneira, A. Simpson, P. D. Sly, J. Stokholm, K. K. Teo, E. Thiering, N. J. Timpson, A. G. Uitterlinden, C. E. M. van Beijsterveldt, B. D. C. van Schaik, M. Vaudel, E. Verduci, R. K. Vinding, M. Vogel, E. Zeggini, S. Sebert, M. V. Lind, C. D. Brown, L. Santa-Marina, E. Reischl, C. Frithioff-Bojsoe, D. Meyre, E. Wheeler, K. Ong, E. A. Nohr, T. G. M. Vrijkotte, G. H. Koppelman, R. Plomin, P. R. Njolstad, G. D. Dedoussis, P. Froguel, T. I. A. Sorensen, B. Jacobsson, R. M. Freathy, B. S. Zemel, O. Raitakari, M. Vrijheid, B. Feenstra, L. P. Lyytikainen, H. Snieder, H. Kirsten, P. G. Holt, J. Heinrich, E. Widen, J. Sunyer, D. I. Boomsma, M. R. Jarvelin, A. Korner, G. Davey Smith, J. C. Holm, M. Atalay, C. Murray, H. Bisgaard, M. I. McCarthy, V. W. V. Jaddoe, S. F. A. Grant, J. F. Felix

Tree Split Graph

help

Submitter

Katrin Horn

License

No license - no permission to use unless the owner grants a licence

Activity

Views: 1636

Created: 4th Nov 2020 at 07:30

Last updated: 7th Dec 2021 at 17:58

help

Tags

help

Attributions

None

Related items

Navigate

Health Atlas - Local Data Hub/Leipzig

The Health Atlas - Local Data Hub/Leipzig is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research fields.

Registered Repository

(v.1.13.0-master)

Health Atlas | Funding and Programmes | Credits | Terms & Conditions | Privacy Policy | Imprint

Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig