Association of Adiposity Genetic Variants With Menarche Timing in 92,105 Women of European Descent
Year: 2013
Type: review
Abstract: Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)(2)), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970-2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9-17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.
Source: American Journal of Epidemiology
DOI: 10.1093/aje/kws473
Authors: L. Fernandez-Rhodes, E. W. Demerath, D. L. Cousminer, R. Tao, J. G. Dreyfus, T. Esko, A. V. Smith, V. Gudnason, T. B. Harris, L. Launer, P. F. McArdle, L. M. Yerges-Armstrong, C. E. Elks, D. P. Strachan, Z. Kutalik, P. Vollenweider, B. Feenstra, H. A. Boyd, A. Metspalu, E. Mihailov, L. Broer, M. C. Zillikens, B. Oostra, C. M. van Duijn, K. L. Lunetta, J. R. B. Perry, A. Murray, D. L. Koller, D. Lai, T. Corre, D. Toniolo, E. Albrecht, D. Stockl, H. Grallert, C. Gieger, C. Hayward, O. Polasek, I. Rudan, J. F. Wilson, C. He, P. Kraft, F. B. Hu, D. J. Hunter, J.-J. Hottenga, G. Willemsen, D. I. Boomsma, E. M. Byrne, N. G. Martin, G. W. Montgomery, N. M. Warrington, C. E. Pennell, L. Stolk, J. A. Visser, A. Hofman, A. G. Uitterlinden, F. Rivadeneira, P. Lin, S. L. Fisher, L. J. Bierut, L. Crisponi, E. Porcu, M. Mangino, G. Zhai, T. D. Spector, J. E. Buring, L. M. Rose, P. M. Ridker, C. Poole, J. N. Hirschhorn, J. M. Murabito, D. I. Chasman, E. Widen, K. E. North, K. K. Ong, N. Franceschini
Institution: University of North Carolina at Chapel Hill
Language: English
Subfield: Reproductive Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funders: GlaxoSmithKline, School of Medicine, Boston University, Helsingin Yliopisto, Wellcome Trust, University of Oxford, Vrije Universiteit Amsterdam, Erasmus Medisch Centrum, Consiglio Nazionale delle Ricerche, Tartu Ülikool, University of North Carolina at Chapel Hill, School of Medicine, University of Maryland, Medical Research Council, Queensland Brain Institute, Institute of Molecular and Cell Biology, Statens Serum Institut, Helmholtz Zentrum München, National Heart, Lung, and Blood Institute, National Institute on Drug Abuse, National Human Genome Research Institute, National Cancer Institute, Institute of Genetics
Awards: Study of Addiction: Genetics and Environment, The Collaborative Genetic Study of Nicotine Dependence, Case Control Candidate Gene Study of Addiction, G5517677352, CHARGE consortium: omics discovery for CVD and aging phenotypes, FAMILY STUDY OF COCAINE DEPENDENCE, Human Genetics of Addiction: A Study of Common and Specific Factors, G9000219445, Cardiovascular Epidemiology Training Grant, Cardiovascular Disease Epidemiology & Prevention
OpenAlex ID: W2163978830