<p>Individual sensitivity to environmental exposures may be genetically influenced. This genotype-by-environment interplay implies differences in phenotypic variance across genotypes, but these variants have proven challenging to detect. Genome-wide association studies of monozygotic twin differences are conducted through family-based variance analyses, which are more robust to the systemic biases that impact population-based methods. We combined data from 21,792 monozygotic twins (10,896 pairs) from 11 studies to conduct one of the largest genome-wide association study meta-analyses of monozygotic phenotypic differences, in children, adolescents and adults separately, for seven psychiatric and neurodevelopmental phenotypes: attention deficit hyperactivity disorder symptoms, autistic traits, anxiety and depression symptoms, psychotic-like experiences, neuroticism and wellbeing. The proportions of phenotypic variance explained by single-nucleotide polymorphisms in these phenotypes were estimated (<i>h</i><sup>2</sup> = 0–18%), but were imprecise. We identified 13 genome-wide significant associations (single-nucleotide polymorphisms, genes and gene sets), including genes related to stress reactivity for depression, growth factor-related genes for autistic traits and catecholamine uptake-related genes for psychotic-like experiences. This is the largest genetic study of monozygotic twins to date by an order of magnitude, evidencing an alternative method to study the genetic architecture of environmental sensitivity. The statistical power was limited for some analyses, calling for better-powered future studies.</p>

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Genetics of monozygotic twins reveals the impact of environmental sensitivity on psychiatric and neurodevelopmental phenotypes

  • Elham Assary,
  • Jonathan R. I. Coleman,
  • Gibran Hemani,
  • Margot P. van de Weijer,
  • Laurence J. Howe,
  • Teemu Palviainen,
  • Katrina L. Grasby,
  • Rafael Ahlskog,
  • Marianne Nygaard,
  • Rosa Cheesman,
  • Kai Lim,
  • Chandra A. Reynolds,
  • Juan R. Ordoñana,
  • Lucia Colodro-Conde,
  • Scott Gordon,
  • Juan J. Madrid-Valero,
  • Anbupalam Thalamuthu,
  • Jouke-Jan Hottenga,
  • Jonas Mengel-From,
  • Nicola J. Armstrong,
  • Perminder S. Sachdev,
  • Teresa Lee,
  • Henry Brodaty,
  • Julian N. Trollor,
  • Margaret Wright,
  • David Ames,
  • Vibeke S. Catts,
  • Antti Latvala,
  • Robin G. Walters,
  • Sam Morris,
  • Zhengming Chen,
  • Kuang Lin,
  • Amanda M. Hughes,
  • Iona Y. Millwood,
  • Liming Li,
  • Alexandra Havdahl,
  • Jean-Baptiste Pingault,
  • W. David Hill,
  • Michel Boivin,
  • Daniel J. Benjamin,
  • Matthew C. Keller,
  • Fartein A. Torvik,
  • Shuai Li,
  • Eco de Geus,
  • Floris Huider,
  • Wonu Akingbuwa,
  • Helga Ask,
  • Per Magnus,
  • Bjørn Olav Åsvold,
  • Sonia Brescianini,
  • Alexandros Giannelis,
  • Emily A. Willoughby,
  • Joohon Sung,
  • Soo Ji Lee,
  • Hyojin Pyun,
  • David Evans,
  • Campbell Archie,
  • Eero Vuoksimaa,
  • Travis Mallard,
  • K. Paige Harden,
  • Elliot M. Tucker-Drob,
  • Sven Oskarsson,
  • Christopher J. Hammond,
  • Kaare Christensen,
  • Mark Taylor,
  • Sebastian Lundström,
  • Henrik Larsson,
  • Robert Karlsson,
  • Nancy L. Pedersen,
  • Karen A. Mather,
  • Sarah E. Medland,
  • Dorret I. Boomsma,
  • Nicholas G. Martin,
  • Robert Plomin,
  • Meike Bartels,
  • Paul Lichtenstein,
  • Jaakko Kaprio,
  • Thalia C. Eley,
  • Neil M. Davies,
  • Patricia B. Munroe,
  • Robert Keers

摘要

Individual sensitivity to environmental exposures may be genetically influenced. This genotype-by-environment interplay implies differences in phenotypic variance across genotypes, but these variants have proven challenging to detect. Genome-wide association studies of monozygotic twin differences are conducted through family-based variance analyses, which are more robust to the systemic biases that impact population-based methods. We combined data from 21,792 monozygotic twins (10,896 pairs) from 11 studies to conduct one of the largest genome-wide association study meta-analyses of monozygotic phenotypic differences, in children, adolescents and adults separately, for seven psychiatric and neurodevelopmental phenotypes: attention deficit hyperactivity disorder symptoms, autistic traits, anxiety and depression symptoms, psychotic-like experiences, neuroticism and wellbeing. The proportions of phenotypic variance explained by single-nucleotide polymorphisms in these phenotypes were estimated (h2 = 0–18%), but were imprecise. We identified 13 genome-wide significant associations (single-nucleotide polymorphisms, genes and gene sets), including genes related to stress reactivity for depression, growth factor-related genes for autistic traits and catecholamine uptake-related genes for psychotic-like experiences. This is the largest genetic study of monozygotic twins to date by an order of magnitude, evidencing an alternative method to study the genetic architecture of environmental sensitivity. The statistical power was limited for some analyses, calling for better-powered future studies.