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A genome-wide association study of total child psychiatric problems scores: summary statistics

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posted on 2021-12-13, 09:22 authored by Alexander NeumannAlexander Neumann, Ilja M. Nolte, Irene Pappa, Tarunveer S. AhluwaliaTarunveer S. Ahluwalia, Erik Pettersson, Alina Rodriguez, Andrew J.O. Whitehouse, Catharina van Beijsterveldt, Beben Benyamin, Anke Hammerschlag, Quinta Helmer, Ville Karhunen, Eva Krapohl, Yi LuYi Lu, Peter van der Most, Teemu Palviainen, Beate St. Pourcain, Ilkka Seppälä, Anna Suarez, Natalia Vilor-Tejedor, Carla M. T. Tiesler, Carol Wang, Amanda Wills, Ang Zhou, Silvia Alemany, Hans Bisgaard, Klaus Bønnelykke, Gareth E. Davies, Christian Hakulinen, Anjali K. Henders, Elina Hyppönen, Jakob Stokholm, Meike Bartels, Jouke Hottenga, Joachim Heinrich, John Hewitt, Liisa Keltikangas-Järvinen, Tellervo Korhonen, Jaakko Kaprio, Jari Lahti, Marius Lahti-Pulkkinen, Terho Lehtimaki, Christel M. Middeldorp, Jackob Najman, Craig Pennell, Chris Power, Albertine Oldenhinkel, Robert Plomin, Katri Räikkonen, Olli T Raitakari, Kaili Rimfeld, Laerke Sass, Harold Snieder, Marie Standl, Jordi Sunyer, Gail M. Williams, Marian J. Bakermans-Kranenburg, Dorret I. Boomsma, Marinus van IJzendoornMarinus van IJzendoorn, Catharina A. Hartman, Henning Tiemeier

Summary statistics for EAGLE GWAS on total child psychiatric problems scores.


Data is provided in R binary format and can be loaded within R with load("total_child_psychiatric_GWAS.Rdata").


snp: SNP RS ID

effect_allele: Effect allele

other_allele: Other allele

beta: Change in total psychiatric problem score in SD per number of effect allele

se: Standard Error

p: p-value

n: Sample Size


For more information, see PLOS ONE publication:


Neumann A, Nolte IM, [...], Hartman C & Tiemeier H. A genome-wide association study of total child psychiatric problems  scores. PloS one. 2022 Aug 22;17(8):e0273116. https://doi.org/10.1371/journal.pone.0273116


Abstract:

Substantial genetic correlations have been reported across psychiatric disorders and numerous cross-disorder genetic variants have been detected. To identify the genetic variants underlying general psychopathology in childhood, we performed a genome-wide association study using a total psychiatric problem score. We analyzed 6,844,199 common SNPs in 38,418 school-aged children from 20 population-based cohorts participating in the EArly Genetics and Lifecourse Epidemiology (EAGLE) consortium. The SNP heritability of total psychiatric problems was 5.4% (SE=0.01) and two loci reached genome-wide significance: rs10767094 and rs202005905. We also observed an association of SBF2, a gene associated with neuroticism in previous GWAS, with total psychiatric problems. The genetic effects underlying the total psychiatric problem score were shared with known genetic variants for common psychiatric disorders only (attention-deficit/hyperactivity disorder, anxiety, depression, insomnia) (rG > 0.49), but not with autism or the less common adult disorders (schizophrenia, bipolar disorder, or eating disorders) (rG < 0.01). Importantly, the total psychiatric problem score also showed at least a moderate genetic correlation of with intelligence, educational attainment, wellbeing, smoking, and body fat (rG > 0.29).The results suggest that many common genetic variants are associated with childhood psychiatric symptoms and related phenotypes in general instead of with specific symptoms. Further research is needed to establish causality and pleiotropic mechanisms between psychiatric disorders and related traits.




Funding

The Netherlands Organisation for Scientific Research

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