Dataset Information

Candidate gene-environment interaction research: reflections and recommendations.

ABSTRACT: Studying how genetic predispositions come together with environmental factors to contribute to complex behavioral outcomes has great potential for advancing the understanding of the development of psychopathology. It represents a clear theoretical advance over studying these factors in isolation. However, research at the intersection of multiple fields creates many challenges. We review several reasons why the rapidly expanding candidate gene-environment interaction (cG×E) literature should be considered with a degree of caution. We discuss lessons learned about candidate gene main effects from the evolving genetics literature and how these inform the study of cG×E. We review the importance of the measurement of the gene and environment of interest in cG×E studies. We discuss statistical concerns with modeling cG×E that are frequently overlooked. Furthermore, we review other challenges that have likely contributed to the cG×E literature being difficult to interpret, including low power and publication bias. Many of these issues are similar to other concerns about research integrity (e.g., high false-positive rates) that have received increasing attention in the social sciences. We provide recommendations for rigorous research practices for cG×E studies that we believe will advance its potential to contribute more robustly to the understanding of complex behavioral phenotypes.

SUBMITTER: Dick DM

PROVIDER: S-EPMC4302784 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Candidate gene-environment interaction research: reflections and recommendations.

Dick Danielle M DM Agrawal Arpana A Keller Matthew C MC Adkins Amy A Aliev Fazil F Monroe Scott S Hewitt John K JK Kendler Kenneth S KS Sher Kenneth J KJ

Perspectives on psychological science : a journal of the Association for Psychological Science 20150101 1

Studying how genetic predispositions come together with environmental factors to contribute to complex behavioral outcomes has great potential for advancing the understanding of the development of psychopathology. It represents a clear theoretical advance over studying these factors in isolation. However, research at the intersection of multiple fields creates many challenges. We review several reasons why the rapidly expanding candidate gene-environment interaction (cG×E) literature should be c ...[more]

PMID: 25620996

Similar Datasets

Project description:Depression is a major public health problem among youth, currently estimated to affect as many as 9% of US children and adolescents. The recognition that both genes (nature) and environments (nurture) are important for understanding the etiology of depression has led to a rapid growth in research exploring gene-environment interactions (GxE). However, there has been no systematic review of GxE in youth depression to date.The goal of this article was to systematically review evidence on the contribution of GxE to the risk of child and adolescent depression. Through a search of PubMed and PsycINFO databases to 1 April 2010, we identified 20 candidate gene-environment interaction studies focused on depression in youth (up to age 26) and compared each study in terms of the following characteristics: research design and sample studied; measure of depression and environment used; genes explored; and GxE findings in relation to these factors.In total, 80% of studies (n = 16) found at least one significant GxE association. However, there was wide variation in methods and analyses adopted across studies, especially with respect to environmental measures used and tests conducted to estimate GxE. This heterogeneity made it difficult to compare findings and evaluate the strength of the evidence for GxE.The existing body of GxE research on depression in youth contains studies that are conceptually and methodologically quite different, which contributes to mixed findings and makes it difficult to assess the current state of the evidence. To decrease this heterogeneity, we offer 20 recommendations that are focused on: (a) reporting GxE research; (b) testing and reporting GxE effects; (c) conceptualizing, measuring and analyzing depression; (d) conceptualizing, measuring and analyzing environment; (e) increasing power to test for GxE; and (f) improving the quality of genetic data used. Although targeted to GxE research on depression, these recommendations can be adopted by GxE researchers focusing on other mental health outcomes.

Project description:IntroductionOccupational therapists may recommend and support technology use for facilitating independence, safety, wellbeing, and participation. There are high expectations for technology for people living with dementia. However, there is recognition that technologies will need to improve to deliver these expected benefits. People living with dementia have historically been excluded from direct involvement in research and design. A program of participatory research was undertaken to codesign technologies and technology research with people living with dementia and care partners. This work aims to capture the requirements, actions, and barriers experienced in forming these partnerships in technology research and design.MethodsA shared metareflection of experiences was conducted by members (5) of the research teams involved in three participatory research and technology design studies. The team comprising living experience experts, an occupational therapist, and interaction designer reflected on their experiences and derived recommendations. Key considerations for effective partnerships were drawn inductively by the authors from study experiences, materials, and reflexive discussion.FindingsSix core areas were identified. These were four action areas-(1) Agree on the value; (2) The time to start partnering is now; (3) Ask not assume; and (4) Push back on 'we always have'-(5) barriers and tensions, and (6) unexpected benefits. The reflections indicated that genuine partnerships and engagements were possible with living experience experts in research and design teams. These required resourcing and focussed actions to promote partnership. Despite some structural changes that encourage partnering, there are considerable barriers to this engagement; however, benefits beyond the expected ones can be realised.ConclusionGenuine partnerships in technology research and design with living experience experts are possible and lead to benefits for the team, research outcomes, and technologies. Recommended actions could support expansion of effective partnerships with people living with dementia and care partners as well as other partnerships in research.

Project description:BackgroundUnderstanding the genetic architecture of ecologically relevant adaptive traits requires the contribution of developmental and evolutionary biology. The time to reach the age of reproduction is a complex life history trait commonly known as developmental time. In particular, in holometabolous insects that occupy ephemeral habitats, like fruit flies, the impact of developmental time on fitness is further exaggerated. The present work is one of the first systematic studies of the genetic basis of developmental time, in which we also evaluate the impact of environmental variation on the expression of the trait.ResultsWe analyzed 179 co-isogenic single P[GT1]-element insertion lines of Drosophila melanogaster to identify novel genes affecting developmental time in flies reared at 25 degrees C. Sixty percent of the lines showed a heterochronic phenotype, suggesting that a large number of genes affect this trait. Mutant lines for the genes Merlin and Karl showed the most extreme phenotypes exhibiting a developmental time reduction and increase, respectively, of over 2 days and 4 days relative to the control (a co-isogenic P-element insertion free line). In addition, a subset of 42 lines selected at random from the initial set of 179 lines was screened at 17 degrees C. Interestingly, the gene-by-environment interaction accounted for 52% of total phenotypic variance. Plastic reaction norms were found for a large number of developmental time candidate genes.ConclusionWe identified components of several integrated time-dependent pathways affecting egg-to-adult developmental time in Drosophila. At the same time, we also show that many heterochronic phenotypes may arise from changes in genes involved in several developmental mechanisms that do not explicitly control the timing of specific events. We also demonstrate that many developmental time genes have pleiotropic effects on several adult traits and that the action of most of them is sensitive to temperature during development. Taken together, our results stress the need to take into account the effect of environmental variation and the dynamics of gene interactions on the genetic architecture of this complex life-history trait.

Dataset Information

Candidate gene-environment interaction research: reflections and recommendations.

Publications

Candidate gene-environment interaction research: reflections and recommendations.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets