Literature DB >> 24647833

Assessing genotype by environment interaction in case of heterogeneous measurement error.

Inga Schwabe1, Stéphanie M van den Berg.   

Abstract

Considerable effort has been devoted to establish genotype by environment interaction (G x E) in case of unmeasured genetic and environmental influences. Although it has been outlined by various authors that the appearance of G x E can be dependent on properties of the given measurement scale, a non-biased method to assess G x E is still lacking. We show that the incorporation of an explicit measurement model can remedy potential bias due to ceiling and floor effects. By means of a simulation study it is shown that the use of sum scores can lead to biased estimates whereas the proposed method is unbiased. The power of the suggested method is illustrated by means of a second simulation study with different sample sizes and G x E effect sizes.

Mesh:

Year:  2014        PMID: 24647833     DOI: 10.1007/s10519-014-9649-7

Source DB:  PubMed          Journal:  Behav Genet        ISSN: 0001-8244            Impact factor:   2.805


  10 in total

1.  Nonparametric Estimates of Gene × Environment Interaction Using Local Structural Equation Modeling.

Authors:  Daniel A Briley; K Paige Harden; Timothy C Bates; Elliot M Tucker-Drob
Journal:  Behav Genet       Date:  2015-08-29       Impact factor: 2.805

2.  Neighborhood deprivation and depression in adult twins: genetics and gene×environment interaction.

Authors:  E Strachan; G Duncan; E Horn; E Turkheimer
Journal:  Psychol Med       Date:  2016-11-09       Impact factor: 7.723

3.  Sum Scores in Twin Growth Curve Models: Practicality Versus Bias.

Authors:  Justin M Luningham; Daniel B McArtor; Meike Bartels; Dorret I Boomsma; Gitta H Lubke
Journal:  Behav Genet       Date:  2017-08-05       Impact factor: 2.805

4.  Evidence for Gender-Dependent Genotype by Environment Interaction in Adult Depression.

Authors:  Dylan Molenaar; Christel M Middeldorp; Gonneke Willemsen; Lannie Ligthart; Michel G Nivard; Dorret I Boomsma
Journal:  Behav Genet       Date:  2015-10-14       Impact factor: 2.805

5.  Psychometric Modelling of Longitudinal Genetically Informative Twin Data.

Authors:  Inga Schwabe; Zhengguo Gu; Jesper Tijmstra; Pete Hatemi; Steffi Pohl
Journal:  Front Genet       Date:  2019-10-16       Impact factor: 4.599

6.  Unraveling the genetic architecture of major depressive disorder: merits and pitfalls of the approaches used in genome-wide association studies.

Authors:  I Schwabe; Y Milaneschi; Z Gerring; P F Sullivan; E Schulte; N P Suppli; J G Thorp; E M Derks; C M Middeldorp
Journal:  Psychol Med       Date:  2019-09-27       Impact factor: 7.723

7.  Data Integration Methods for Phenotype Harmonization in Multi-Cohort Genome-Wide Association Studies With Behavioral Outcomes.

Authors:  Justin M Luningham; Daniel B McArtor; Anne M Hendriks; Catharina E M van Beijsterveldt; Paul Lichtenstein; Sebastian Lundström; Henrik Larsson; Meike Bartels; Dorret I Boomsma; Gitta H Lubke
Journal:  Front Genet       Date:  2019-12-10       Impact factor: 4.599

8.  Genes, Culture and Conservatism-A Psychometric-Genetic Approach.

Authors:  Inga Schwabe; Wilfried Jonker; Stéphanie M van den Berg
Journal:  Behav Genet       Date:  2015-11-20       Impact factor: 2.805

9.  Mathematical Ability and Socio-Economic Background: IRT Modeling to Estimate Genotype by Environment Interaction.

Authors:  Inga Schwabe; Dorret I Boomsma; Stéphanie M van den Berg
Journal:  Twin Res Hum Genet       Date:  2017-11-06       Impact factor: 1.587

Review 10.  Overview of CAPICE-Childhood and Adolescence Psychopathology: unravelling the complex etiology by a large Interdisciplinary Collaboration in Europe-an EU Marie Skłodowska-Curie International Training Network.

Authors:  Hema Sekhar Reddy Rajula; Mirko Manchia; Kratika Agarwal; Wonuola A Akingbuwa; Andrea G Allegrini; Elizabeth Diemer; Sabrina Doering; Elis Haan; Eshim S Jami; Ville Karhunen; Marica Leone; Laura Schellhas; Ashley Thompson; Stéphanie M van den Berg; Sarah E Bergen; Ralf Kuja-Halkola; Anke R Hammerschlag; Marjo Riitta Järvelin; Amy Leval; Paul Lichtenstein; Sebastian Lundstrom; Matteo Mauri; Marcus R Munafò; David Myers; Robert Plomin; Kaili Rimfeld; Henning Tiemeier; Eivind Ystrom; Vassilios Fanos; Meike Bartels; Christel M Middeldorp
Journal:  Eur Child Adolesc Psychiatry       Date:  2021-01-20       Impact factor: 5.349

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.