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  • Search: subject:"Gene–environment interaction"
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Year of publication
Subject
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gene-environment interaction 10 Gene-environment interaction 8 Children 5 Kinder 5 Bildungsniveau 4 Educational achievement 4 Gene–environment interaction 4 Estimation 3 Genes 3 Schätzung 3 educational attainment 3 polygenic score 3 Adoption studies 2 Allgemeinbildende Schule 2 Armut 2 Bildungsertrag 2 Bildungsökonomik 2 Birth order 2 Cognition 2 Cognitive decline 2 Economics of education 2 Environments 2 Gambling 2 Genetics 2 Glücksspiel 2 IQ 2 Investition 2 Investment 2 Kognition 2 Mothers 2 Mütter 2 Nutrition 2 Poverty 2 Returns to education 2 School 2 School of general education 2 Schule 2 Sibling fixed effects 2 Theorie 2 Theory 2
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Online availability
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Free 11 Undetermined 10
Type of publication
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Article 13 Book / Working Paper 9 Other 1
Type of publication (narrower categories)
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Working Paper 7 Arbeitspapier 5 Graue Literatur 5 Non-commercial literature 5 Article in journal 4 Aufsatz in Zeitschrift 4 Thesis 1
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Language
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English 13 Undetermined 10
Author
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Cook, C. Justin 4 Strulik, Holger 3 Borgen, Nicolai T. 2 Cheesman, Rosa 2 Fletcher, Jason 2 Fletcher, Jason M. 2 Hufe, Paul 2 Meddens, S. Fleur W. 2 Muslimova, Dilnoza 2 Rietveld, Cornelius A. 2 Sandsør, Astrid Marie Jorde 2 Stenberg, Anders 2 Baker, Stuart 1 Barnes, J.C. 1 Barnes, Lisa L. 1 Barrett, Jennifer H. 1 Beaver, Kevin M. 1 Bishop, D. Timothy 1 Blalock, Casey 1 Boardman, Jason 1 Boardman, Jason D. 1 Boutwell, Brian B. 1 Eaves, Lindon 1 Evans, Denis A. 1 Friend, Angela 1 Ghosh, Malay 1 Graham, Jinko 1 Hatemi, Peter 1 Heath, Andrew 1 Hinke Kessler Scholder, Stephanie von 1 Jerrim, John 1 Korhonen, Kaarina 1 Lahtinen, Hannu 1 Leon, Carlos F. Mendes de 1 Lingam, Raghu 1 Martikainen, Pekka 1 McNeney, Brad 1 Morris, Tim 1 Mukherjee, Bhramar 1 Myrskylä, Mikko 1
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Institution
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Department of Quantitative Social Science, Institute of Education 1
Published in...
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Social Science & Medicine 3 Economics & Human Biology 2 Economics and human biology 2 Statistical Applications in Genetics and Molecular Biology 2 CESifo working papers 1 Cege discussion paper 1 Demography 1 Discussion paper / Tinbergen Institute 1 Discussion paper series / IZA 1 DoQSS Working Papers 1 Journal of health economics 1 MPIDR working papers 1 Macroeconomic dynamics 1 Stata Journal 1 Tinbergen Institute Discussion Paper 1 cege Discussion Papers 1
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Source
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RePEc 10 ECONIS (ZBW) 9 BASE 2 EconStor 2
Showing 11 - 20 of 23
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Can education rescue genetic liability for cognitive decline?
Cook, C. Justin; Fletcher, Jason M. - In: Social Science & Medicine 127 (2015) C, pp. 159-170
educational attainment within a standard gene–environment interaction framework, we show evidence that the genetic effects of the …
Persistent link: https://www.econbiz.de/10011189666
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Understanding heterogeneity in the effects of birth weight on adult cognition and wages
Cook, C. Justin; Fletcher, Jason - In: Journal of health economics 41 (2015), pp. 107-116
Persistent link: https://www.econbiz.de/10011563488
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Prenatal smoking and genetic risk: Examining the childhood origins of externalizing behavioral problems
Petkovsek, Melissa A.; Boutwell, Brian B.; Beaver, Kevin M. - In: Social Science & Medicine 111 (2014) C, pp. 17-24
evidence of a gene–environment interaction, in that prenatal smoke exposure conditioned the influence of genetic risk factors …
Persistent link: https://www.econbiz.de/10010776659
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Interactive effects of in utero nutrition and genetic inheritance on cognition: New evidence using sibling comparisons
Cook, C. Justin; Fletcher, Jason M. - In: Economics & Human Biology 13 (2014) C, pp. 144-154
effects of environmental exposure. When including family-level fixed effects, however, the magnitude of the gene–environment … interaction is reduced by half and statistical significance dissipates, implying the interaction between FADS2 and early nutrition …
Persistent link: https://www.econbiz.de/10010744277
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Interactive effects of in utero nutrition and genetic inheritance on cognition : new evidence using sibling comparisons
Cook, C. Justin; Fletcher, Jason - In: Economics and human biology 13 (2014), pp. 144-154
Persistent link: https://www.econbiz.de/10010386628
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Semiparametric Bayesian Analysis of Case–Control Data under Conditional Gene-Environment Independence
Mukherjee, Bhramar; Zhang, Li; Ghosh, Malay; Sinha, Samiran - 2007
In case–control studies of gene-environment association with disease, when genetic and environmental exposures can be assumed to be independent in the underlying population, one may exploit the independence in order to derive more efficient estimation techniques than the traditional logistic...
Persistent link: https://www.econbiz.de/10009476570
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Interpreting estimates of heritability – A note on the twin decomposition
Stenberg, Anders - In: Economics & Human Biology 11 (2013) 2, pp. 201-205
While most outcomes may in part be genetically mediated, quantifying genetic heritability is a different matter. To explore data on twins and decompose the variation is a classical method to determine whether variation in outcomes, e.g. IQ or schooling, originate from genetic endowments or...
Persistent link: https://www.econbiz.de/10010636481
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Interpreting estimates of heritability : a note on the twin decomposition
Stenberg, Anders - In: Economics and human biology 11 (2013) 2, pp. 201-205
Persistent link: https://www.econbiz.de/10010387478
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Social disorder, APOE-E4 genotype, and change in cognitive function among older adults living in Chicago
Boardman, Jason D.; Barnes, Lisa L.; Wilson, Robert S.; … - In: Social Science & Medicine 74 (2012) 10, pp. 1584-1590
neighborhoods with the lowest levels of social disorder. Our findings support the non-causal social push gene–environment … interaction model. …
Persistent link: https://www.econbiz.de/10011042434
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Sample size calculations for main effects and interactions in case-control studies using Stata's nchi2 and npnchi2 functions
Saunders, Catherine L.; Bishop, D. Timothy; Barrett, … - In: Stata Journal 3 (2003) 1, pp. 47-56
The non-central Chi-squared distribution can be used to calculate power for tests detecting departure from a null hypothesis. Required sample size can also be calculated because it is proportional to the non-centrality parameter for the distribution. We demonstrate how these calculations can be...
Persistent link: https://www.econbiz.de/10005178352
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