Heritability and genome-wide association analyses of sleep duration in children: The EAGLE consortium

Marcella Marinelli, Irene Pappa, Mariona Bustamante, Carolina Bonilla, Anna Suarez, Carla M. Tiesler, Natalia Vilor-Tejedor, Mohammad Hadi Zafarmand, Mar Alvarez-Pedrerol, Sture Andersson, Marian J. Bakermans-Kranenburg, Xavier Estivill, David M. Evans, Claudia Flexeder, Joan Forns, Juan R. Gonzalez, Monica Guxens, Anke Huss, Marinus H. Van Ijzendoorn, Vincent W.V. JaddoeJordi Julvez, Jari Lahti, Mónica López-Vicente, Maria Jose Lopez-Espinosa, Judith Manz, Viara R. Mileva-Seitz, Markus Perola, Anu Katriina Pesonen, Fernando Rivadeneira, Perttu P. Salo, Shayan Shahand, Holger Schulz, Marie Standl, Elisabeth Thiering, Nicholas J. Timpson, Maties Torrent, André G. Uitterlinden, George Davey Smith, Marisa Estarlich, Joachim Heinrich, Katri Räikkönen, Tanja G.M. Vrijkotte, Henning Tiemeier, Jordi Sunyer*

*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review


Study Objectives: Low or excessive sleep duration has been associated with multiple outcomes, but the biology behind these associations remains elusive. Specifically, genetic studies in children are scarce. In this study, we aimed to: (1) estimate the proportion of genetic variance of sleep duration in children attributed to common single nucleotide polymorphisms (SNPs), (2) identify novel SNPs associated with sleep duration in children, and (3) investigate the genetic overlap of sleep duration in children and related metabolic and psychiatric traits. Methods: We performed a population-based molecular genetic study, using data form the EArly Genetics and Life course Epidemiology (EAGLE) Consortium. 10,554 children of European ancestry were included in the discovery, and 1,250 children in the replication phase. Results: We found evidence of significant but modest SNP heritability of sleep duration in children (SNP h2 0.14, 95% CI [0.05, 0.23]) using the LD score regression method. A novel region at chromosome 11q13.4 (top SNP: rs74506765, P = 2.27e-08) was associated with sleep duration in children, but this was not replicated in independent studies. Nominally significant genetic overlap was only found (rG = 0.23, P = 0.05) between sleep duration in children and type 2 diabetes in adults, supporting the hypothesis of a common pathogenic mechanism. Conclusions: The significant SNP heritability of sleep duration in children and the suggestive genetic overlap with type 2 diabetes support the search for genetic mechanisms linking sleep duration in children to multiple outcomes in health and disease.

Original languageEnglish
Pages (from-to)1859-1869
Number of pages11
Issue number10
Publication statusPublished - 1 Oct 2016
Externally publishedYes


  • Childhood sleep duration
  • Genome-wide association study (GWAS)
  • Meta-analysis
  • Pathway analysis
  • SNP heritability


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