Literature DB >> 23927518

The challenge of causal inference in gene-environment interaction research: leveraging research designs from the social sciences.

Jason M Fletcher1, Dalton Conley.   

Abstract

The integration of genetics and the social sciences will lead to a more complex understanding of the articulation between social and biological processes, although the empirical difficulties inherent in this integration are large. One key challenge is the implications of moving "outside the lab" and away from the experimental tools available for research with model organisms. Social science research methods used to examine human behavior in nonexperimental, real-world settings to date have not been fully taken advantage of during this disciplinary integration, especially in the form of gene-environment interaction research. This article outlines and provides examples of several prominent research designs that should be used in gene-environment research and highlights a key benefit to geneticists of working with social scientists.

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Year:  2013        PMID: 23927518      PMCID: PMC3786757          DOI: 10.2105/AJPH.2013.301290

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  16 in total

1.  Genomic control for association studies.

Authors:  B Devlin; K Roeder
Journal:  Biometrics       Date:  1999-12       Impact factor: 2.571

2.  Principal components analysis corrects for stratification in genome-wide association studies.

Authors:  Alkes L Price; Nick J Patterson; Robert M Plenge; Michael E Weinblatt; Nancy A Shadick; David Reich
Journal:  Nat Genet       Date:  2006-07-23       Impact factor: 38.330

3.  Epidemiological methods to tackle causal questions.

Authors:  Michael Rutter
Journal:  Int J Epidemiol       Date:  2008-12-03       Impact factor: 7.196

4.  Gene X environment interactions at the serotonin transporter locus.

Authors:  Marcus R Munafò; Caroline Durrant; Glyn Lewis; Jonathan Flint
Journal:  Biol Psychiatry       Date:  2008-08-08       Impact factor: 13.382

5.  The promise and challenges of incorporating genetic data into longitudinal social science surveys and research.

Authors:  Dalton Conley
Journal:  Biodemography Soc Biol       Date:  2009

6.  Influence of life stress on depression: moderation by a polymorphism in the 5-HTT gene.

Authors:  Avshalom Caspi; Karen Sugden; Terrie E Moffitt; Alan Taylor; Ian W Craig; HonaLee Harrington; Joseph McClay; Jonathan Mill; Judy Martin; Antony Braithwaite; Richie Poulton
Journal:  Science       Date:  2003-07-18       Impact factor: 47.728

7.  The dopamine transporter gene, a spectrum of most common risky behaviors, and the legal status of the behaviors.

Authors:  Guang Guo; Tianji Cai; Rui Guo; Hongyu Wang; Kathleen Mullan Harris
Journal:  PLoS One       Date:  2010-02-22       Impact factor: 3.240

8.  Interaction between the serotonin transporter gene (5-HTTLPR), stressful life events, and risk of depression: a meta-analysis.

Authors:  Neil Risch; Richard Herrell; Thomas Lehner; Kung-Yee Liang; Lindon Eaves; Josephine Hoh; Andrea Griem; Maria Kovacs; Jurg Ott; Kathleen Ries Merikangas
Journal:  JAMA       Date:  2009-06-17       Impact factor: 56.272

Review 9.  Missing heritability and strategies for finding the underlying causes of complex disease.

Authors:  Evan E Eichler; Jonathan Flint; Greg Gibson; Augustine Kong; Suzanne M Leal; Jason H Moore; Joseph H Nadeau
Journal:  Nat Rev Genet       Date:  2010-06       Impact factor: 53.242

10.  Why have tobacco control policies stalled? Using genetic moderation to examine policy impacts.

Authors:  Jason M Fletcher
Journal:  PLoS One       Date:  2012-12-05       Impact factor: 3.752

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  17 in total

1.  Peer Influence, Genetic Propensity, and Binge Drinking: A Natural Experiment and a Replication.

Authors:  Guang Guo; Yi Li; Hongyu Wang; Tianji Cai; Greg J Duncan
Journal:  AJS       Date:  2015-11

Review 2.  Gene-Environment Interaction: A Variable Selection Perspective.

Authors:  Fei Zhou; Jie Ren; Xi Lu; Shuangge Ma; Cen Wu
Journal:  Methods Mol Biol       Date:  2021

3.  Opportunities and challenges of big data for the social sciences: The case of genomic data.

Authors:  Hexuan Liu; Guang Guo
Journal:  Soc Sci Res       Date:  2016-04-21

4.  Gene-environment Interactions and School Tracking during Secondary Education: Evidence from the U.S.

Authors:  Fumiya Uchikoshi; Dalton Conley
Journal:  Res Soc Stratif Mobil       Date:  2021-07-16

5.  The Effect of Vietnam-Era Conscription and Genetic Potential for Educational Attainment on Schooling Outcomes.

Authors:  Lauren L Schmitz; Dalton Conley
Journal:  Econ Educ Rev       Date:  2017-10-07

6.  Can education rescue genetic liability for cognitive decline?

Authors:  C Justin Cook; Jason M Fletcher
Journal:  Soc Sci Med       Date:  2014-07-07       Impact factor: 4.634

7.  Can Genetics Predict Response to Complex Behavioral Interventions? Evidence from a Genetic Analysis of the Fast Track Randomized Control Trial.

Authors:  Dustin Albert; Daniel W Belsky; D Max Crowley; Shawn J Latendresse; Fazil Aliev; Brien Riley; Cuie Sun; Danielle M Dick; Kenneth A Dodge
Journal:  J Policy Anal Manage       Date:  2015

8.  Integrating genetics and social science: genetic risk scores.

Authors:  Daniel W Belsky; Salomon Israel
Journal:  Biodemography Soc Biol       Date:  2014

9.  Environmental bottlenecks in children's genetic potential for adult socio-economic attainments: Evidence from a health shock.

Authors:  Jason M Fletcher
Journal:  Popul Stud (Camb)       Date:  2018-10-23

10.  Changing Polygenic Penetrance on Phenotypes in the 20(th) Century Among Adults in the US Population.

Authors:  Dalton Conley; Thomas M Laidley; Jason D Boardman; Benjamin W Domingue
Journal:  Sci Rep       Date:  2016-07-26       Impact factor: 4.379

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