Literature DB >> 24281739

Is the gene-environment interaction paradigm relevant to genome-wide studies? The case of education and body mass index.

Jason D Boardman1, Benjamin W Domingue, Casey L Blalock, Brett C Haberstick, Kathleen Mullan Harris, Matthew B McQueen.   

Abstract

This study uses data from the Framingham Heart Study to examine the relevance of the gene-environment interaction paradigm for genome-wide association studies (GWAS). We use completed college education as our environmental measure and estimate the interactive effect of genotype and education on body mass index (BMI) using 260,402 single-nucleotide polymorphisms (SNPs). Our results highlight the sensitivity of parameter estimates obtained from GWAS models and the difficulty of framing genome-wide results using the existing gene-environment interaction typology. We argue that SNP-environment interactions across the human genome are not likely to provide consistent evidence regarding genetic influences on health that differ by environment. Nevertheless, genome-wide data contain rich information about individual respondents, and we demonstrate the utility of this type of data. We highlight the fact that GWAS is just one use of genome-wide data, and we encourage demographers to develop methods that incorporate this vast amount of information from respondents into their analyses.

Entities:  

Mesh:

Year:  2014        PMID: 24281739      PMCID: PMC4035460          DOI: 10.1007/s13524-013-0259-4

Source DB:  PubMed          Journal:  Demography        ISSN: 0070-3370


  60 in total

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3.  Testing gene-environment interaction in large-scale case-control association studies: possible choices and comparisons.

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4.  Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome.

Authors:  Duncan C Thomas; Juan Pablo Lewinger; Cassandra E Murcray; W James Gauderman
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5.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination.

Authors:  Greta Lee Splansky; Diane Corey; Qiong Yang; Larry D Atwood; L Adrienne Cupples; Emelia J Benjamin; Ralph B D'Agostino; Caroline S Fox; Martin G Larson; Joanne M Murabito; Christopher J O'Donnell; Ramachandran S Vasan; Philip A Wolf; Daniel Levy
Journal:  Am J Epidemiol       Date:  2007-03-19       Impact factor: 4.897

6.  Behavior genetic modeling of human fertility: findings from a contemporary Danish Twin Study.

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Review 8.  Confluence of genes, environment, development, and behavior in a post Genome-Wide Association Study world.

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10.  Race and unhealthy behaviors: chronic stress, the HPA axis, and physical and mental health disparities over the life course.

Authors:  James S Jackson; Katherine M Knight; Jane A Rafferty
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  28 in total

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2.  The Genome-Wide Influence on Human BMI Depends on Physical Activity, Life Course, and Historical Period.

Authors:  Guang Guo; Hexuan Liu; Ling Wang; Haipeng Shen; Wen Hu
Journal:  Demography       Date:  2015-10

3.  Differential Vulnerability to Early-Life Parental Death: The Moderating Effects of Family Suicide History on Risks for Major Depression and Substance Abuse in Later Life.

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4.  What Can Sociogenomics Learn from Social By Nature? A review of social by nature, by Catherine Bliss.

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Review 5.  Molecular genetic approaches to understanding the comorbidity of psychiatric disorders.

Authors:  Ian R Gizer
Journal:  Dev Psychopathol       Date:  2016-11

6.  Lifetime Socioeconomic Status, Historical Context, and Genetic Inheritance in Shaping Body Mass in Middle and Late Adulthood.

Authors:  Hexuan Liu; Guang Guo
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7.  Opportunities and challenges of big data for the social sciences: The case of genomic data.

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Journal:  Soc Sci Res       Date:  2016-04-21

Review 8.  Candidate gene-environment interaction research: reflections and recommendations.

Authors:  Danielle M Dick; Arpana Agrawal; Matthew C Keller; Amy Adkins; Fazil Aliev; Scott Monroe; John K Hewitt; Kenneth S Kendler; Kenneth J Sher
Journal:  Perspect Psychol Sci       Date:  2015-01

9.  Comparing Observed and Unobserved Components of Childhood: Evidence From Finnish Register Data on Midlife Mortality From Siblings and Their Parents.

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Journal:  Demography       Date:  2018-02

10.  Gender and genetic contributions to weight identity among adolescents and young adults in the U.S.

Authors:  Robbee Wedow; Daniel A Briley; Susan E Short; Jason D Boardman
Journal:  Soc Sci Med       Date:  2016-08-01       Impact factor: 4.634

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