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. 2016 Oct;24(10):1488-95.
doi: 10.1038/ejhg.2016.31. Epub 2016 May 4.

Genetic variants in RBFOX3 are associated with sleep latency

Najaf Amin  1 Karla V Allebrandt  2 Ashley van der Spek  1 Bertram Müller-Myhsok  3 Karin Hek  4   5 Maris Teder-Laving  6 Caroline Hayward  7 Tõnu Esko  6 Josine G van Mill  8 Hamdi Mbarek  9 Nathaniel F Watson  10   11 Scott A Melville  12 Fabiola M Del Greco  13 Enda M Byrne  14   15 Edwin Oole  16 Ivana Kolcic  17 Ting-Hsu Chen  18 Daniel S Evans  19 Josef Coresh  20 Nicole Vogelzangs  8 Juha Karjalainen  21 Gonneke Willemsen  9 Sina A Gharib  11   22 Lina Zgaga  7 Evelin Mihailov  6 Katie L Stone  19 Harry Campbell  23 Rutger Ww Brouwer  16 Ayse Demirkan  1 Aaron Isaacs  1 Zoran Dogas  24 Kristin D Marciante  25 Susan Campbell  7 Fran Borovecki  26 Annemarie I Luik  4 Man Li  27 Jouke Jan Hottenga  9 Jennifer E Huffman  7 Mirjam Cgn van den Hout  16 Steven R Cummings  19 Yurii S Aulchenko  1 Philip R Gehrman  28 André G Uitterlinden  4   29   30 Heinz-Erich Wichmann  31   32   33 Martina Müller-Nurasyid  31   34   35   36 Rudolf Sn Fehrmann  21 Grant W Montgomery  15 Albert Hofman  4   37 Wen Hong Linda Kao  27 Ben A Oostra  1 Alan F Wright  7 Jacqueline M Vink  9 James F Wilson  7   23 Peter P Pramstaller  13   38   39 Andrew A Hicks  13 Ozren Polasek  17   40 Naresh M Punjabi  41 Susan Redline  42 Bruce M Psaty  43   44 Andrew C Heath  45 Martha Merrow  2 Gregory J Tranah  19 Daniel J Gottlieb  42   46 Dorret I Boomsma  9 Nicholas G Martin  15 Igor Rudan  23 Henning Tiemeier  4   5   47 Wilfred Fj van IJcken  16 Brenda W Penninx  8 Andres Metspalu  6 Thomas Meitinger  48   49 Lude Franke  21 Till Roenneberg  2 Cornelia M van Duijn  1   30   50
Affiliations

Genetic variants in RBFOX3 are associated with sleep latency

Najaf Amin et al. Eur J Hum Genet. 2016 Oct.

Abstract

Time to fall asleep (sleep latency) is a major determinant of sleep quality. Chronic, long sleep latency is a major characteristic of sleep-onset insomnia and/or delayed sleep phase syndrome. In this study we aimed to discover common polymorphisms that contribute to the genetics of sleep latency. We performed a meta-analysis of genome-wide association studies (GWAS) including 2 572 737 single nucleotide polymorphisms (SNPs) established in seven European cohorts including 4242 individuals. We found a cluster of three highly correlated variants (rs9900428, rs9907432 and rs7211029) in the RNA-binding protein fox-1 homolog 3 gene (RBFOX3) associated with sleep latency (P-values=5.77 × 10(-08), 6.59 × 10(-)(08) and 9.17 × 10(-)(08)). These SNPs were replicated in up to 12 independent populations including 30 377 individuals (P-values=1.5 × 10(-)(02), 7.0 × 10(-)(03) and 2.5 × 10(-)(03); combined meta-analysis P-values=5.5 × 10(-07), 5.4 × 10(-07) and 1.0 × 10(-07)). A functional prediction of RBFOX3 based on co-expression with other genes shows that this gene is predominantly expressed in brain (P-value=1.4 × 10(-316)) and the central nervous system (P-value=7.5 × 10(-)(321)). The predicted function of RBFOX3 based on co-expression analysis with other genes shows that this gene is significantly involved in the release cycle of neurotransmitters including gamma-aminobutyric acid and various monoamines (P-values<2.9 × 10(-11)) that are crucial in triggering the onset of sleep. To conclude, in this first large-scale GWAS of sleep latency we report a novel association of variants in RBFOX3 gene. Further, a functional prediction of RBFOX3 supports the involvement of RBFOX3 with sleep latency.

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Conflict of interest statement

Dr Najaf Amin is supported by the Netherlands Brain Foundation (project number F2013(1)-28). Dr Gregory J Tranah was supported by NIA grant R01AG030474. Dr Henning Tiemeier was supported by the Vidi Grant of ZonMw (the Netherlands Organization for Health Research and Development, 2009-017.106.370). All other authors report no biomedical financial interests or potential conflicts of interest.

Figures

Figure 1
Figure 1
Regional association plot of sleep latency for the region 17q25. The plot was constructed using Locus Zoom (http://csg.sph.umich.edu/locuszoom/). The most significant SNP is depicted as a diamond and other SNPs in the region are depicted by circles. Various colors represent the extent of linkage disequilibrium with most significant SNP. The X axis gives the position in mega bases and the Y axis shows the negative logarithm of the P-values from the meta-analysis.
Figure 2
Figure 2
Means per genotype category for all the discovery cohorts for the three most significant SNPs. Black bars represent the mean sleep latency for the homozygous carriers of the effect allele. Y axis depicts the sleep latency time in minutes. Panels a, b and c represent the effects of the SNPs in individual cohorts. Panel d represents the pooled average sleep latency per genotype category across all cohorts for the three SNPs (X axis). Data used to generate this figure were not adjusted for age and sex.
Figure 3
Figure 3
Forest plot for the three SNPs at chromosome 17q25. On the left, the populations including the populations in the GWAS and the replication phase. The boxes represent the precision and horizontal lines representing the confidence intervals. Pooled estimate is the effect estimate from the meta-analysis of all cohorts. The horizontal axis represents the scale of effects.

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