Literature DB >> 27436263

Detection of gene-environment interaction in pedigree data using genome-wide genotypes.

Michel G Nivard1, Christel M Middeldorp1,2,3, Gitta Lubke1,4, Jouke-Jan Hottenga1,2, Abdel Abdellaoui1, Dorret I Boomsma1,2,5, Conor V Dolan1.   

Abstract

Heritability may be estimated using phenotypic data collected in relatives or in distantly related individuals using genome-wide single nucleotide polymorphism (SNP) data. We combined these approaches by re-parameterizing the model proposed by Zaitlen et al and extended this model to include moderation of (total and SNP-based) genetic and environmental variance components by a measured moderator. By means of data simulation, we demonstrated that the type 1 error rates of the proposed test are correct and parameter estimates are accurate. As an application, we considered the moderation by age or year of birth of variance components associated with body mass index (BMI), height, attention problems (AP), and symptoms of anxiety and depression. The genetic variance of BMI was found to increase with age, but the environmental variance displayed a greater increase with age, resulting in a proportional decrease of the heritability of BMI. Environmental variance of height increased with year of birth. The environmental variance of AP increased with age. These results illustrate the assessment of moderation of environmental and genetic effects, when estimating heritability from combined SNP and family data. The assessment of moderation of genetic and environmental variance will enhance our understanding of the genetic architecture of complex traits.

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Year:  2016        PMID: 27436263      PMCID: PMC5117937          DOI: 10.1038/ejhg.2016.88

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  33 in total

1.  Variance components models for gene-environment interaction in twin analysis.

Authors:  Shaun Purcell
Journal:  Twin Res       Date:  2002-12

2.  Netherlands Twin Register: from twins to twin families.

Authors:  Dorret I Boomsma; Eco J C de Geus; Jacqueline M Vink; Janine H Stubbe; Marijn A Distel; Jouke-Jan Hottenga; Danielle Posthuma; Toos C E M van Beijsterveldt; James J Hudziak; Meike Bartels; Gonneke Willemsen
Journal:  Twin Res Hum Genet       Date:  2006-12       Impact factor: 1.587

3.  Problems and pit-falls in testing for G × E and epistasis in candidate gene studies of human behavior.

Authors:  Lindon Eaves; Brad Verhulst
Journal:  Behav Genet       Date:  2014-09-07       Impact factor: 2.805

4.  Gene-gene and gene-environment interactions detected by transcriptome sequence analysis in twins.

Authors:  Alfonso Buil; Andrew Anand Brown; Tuuli Lappalainen; Ana Viñuela; Matthew N Davies; Hou-Feng Zheng; J Brent Richards; Daniel Glass; Kerrin S Small; Richard Durbin; Timothy D Spector; Emmanouil T Dermitzakis
Journal:  Nat Genet       Date:  2014-12-01       Impact factor: 38.330

5.  Genome partitioning of genetic variation for complex traits using common SNPs.

Authors:  Jian Yang; Teri A Manolio; Louis R Pasquale; Eric Boerwinkle; Neil Caporaso; Julie M Cunningham; Mariza de Andrade; Bjarke Feenstra; Eleanor Feingold; M Geoffrey Hayes; William G Hill; Maria Teresa Landi; Alvaro Alonso; Guillaume Lettre; Peng Lin; Hua Ling; William Lowe; Rasika A Mathias; Mads Melbye; Elizabeth Pugh; Marilyn C Cornelis; Bruce S Weir; Michael E Goddard; Peter M Visscher
Journal:  Nat Genet       Date:  2011-05-08       Impact factor: 38.330

Review 6.  A critical review of the first 10 years of candidate gene-by-environment interaction research in psychiatry.

Authors:  Laramie E Duncan; Matthew C Keller
Journal:  Am J Psychiatry       Date:  2011-09-02       Impact factor: 18.112

Review 7.  Genetic and environmental stability in attention problems across the lifespan: evidence from the Netherlands twin register.

Authors:  Kees-Jan Kan; Conor V Dolan; Michel G Nivard; Christel M Middeldorp; Catharina E M van Beijsterveldt; Gonneke Willemsen; Dorret I Boomsma
Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2012-11-30       Impact factor: 8.829

8.  Variability in the heritability of body mass index: a systematic review and meta-regression.

Authors:  Cathy E Elks; Marcel den Hoed; Jing Hua Zhao; Stephen J Sharp; Nicholas J Wareham; Ruth J F Loos; Ken K Ong
Journal:  Front Endocrinol (Lausanne)       Date:  2012-02-28       Impact factor: 5.555

Review 9.  Gene-environment interactions and obesity: recent developments and future directions.

Authors:  Tao Huang; Frank B Hu
Journal:  BMC Med Genomics       Date:  2015-01-15       Impact factor: 3.063

10.  Novel directions for G × E analysis in psychiatry.

Authors:  A A E Vinkhuyzen; N R Wray
Journal:  Epidemiol Psychiatr Sci       Date:  2014-10-08       Impact factor: 6.892

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  2 in total

1.  Genome-by-Trauma Exposure Interactions in Adults With Depression in the UK Biobank.

Authors:  Melisa Chuong; Mark J Adams; Alex S F Kwong; Chris S Haley; Carmen Amador; Andrew M McIntosh
Journal:  JAMA Psychiatry       Date:  2022-09-28       Impact factor: 25.911

2.  A systematic review of genome-wide research on psychotic experiences and negative symptom traits: new revelations and implications for psychiatry.

Authors:  Angelica Ronald; Oliver Pain
Journal:  Hum Mol Genet       Date:  2018-08-01       Impact factor: 6.150

  2 in total

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