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  • Search: subject:"Genome-wide association"
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Year of publication
Subject
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Genome-wide association studies 4 Association 3 genome-wide association 3 genome-wide association studies 3 Candidate genes 2 Gene-environment interactions 2 Genetic instruments 2 Genetic markers 2 Verein 2 Within-family variation 2 case-control 2 genetic markers 2 genotype error 2 intergenerational transmission 2 re-genotype 2 310 Statistik 1 Bayesian modeling 1 Biclustering 1 Candidate gene study 1 EGC 990 1 Economic research 1 Entrepreneurship 1 Estimation theory 1 Fertility 1 Fertilität 1 GWAS 1 Gen-Umwelt Assoziation 1 Gen-Umwelt Interaktion 1 Generationengerechtigkeit 1 Genetic models 1 Genetics 1 Genetics (medical sciences) 1 Genome-wide association 1 Genome-wide association study 1 Genomweite Assoziation 1 Intergenerational equity 1 Intergenerational transfer 1 Intergenerationale Übertragung 1 Linear regression 1 Lungekrebs 1
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Online availability
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Undetermined 8 Free 6
Type of publication
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Article 12 Book / Working Paper 3
Type of publication (narrower categories)
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Article 2 Article in journal 2 Aufsatz in Zeitschrift 2 Thesis 2 Graue Literatur 1 Hochschulschrift 1 Non-commercial literature 1
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Language
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English 8 Undetermined 7
Author
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Ding, Weili 4 Lehrer, Steven F. 4 Tintle, Nathan 2 Bekmetjev, Airat 1 Bogdan, Małgorzata 1 Borchers, Bryce 1 Brown, Marshall 1 Cook, Daniel E. 1 Donnelly, Peter 1 Finch, Stephen 1 Frommlet, Florian 1 Gordon, Derek 1 Groenen, Patrick 1 Gupta, Mayetri 1 Haynes, Chad 1 Hechter, Eliana 1 Hofman, Albert 1 Koellinger, Philipp 1 Liu, Chang 1 Loos, Matthijs 1 Matthews, Abigail 1 McLellan, Brian 1 McMahon, Francis 1 Murray, Jeffrey C. 1 Ott, Jurg 1 Rietveld, Cornelius 1 Rivadeneira, Fernando 1 Rooij, Frank 1 Ruhaltinger, Felix 1 Ryckman, Kelli R. 1 Sham, PC 1 So, HC 1 Sohns, Melanie 1 Spencer, Chris 1 Thurik, A. 1 Twaróg, Piotr 1 Uitterlinden, André 1 Vlaming, Ronald de 1 Vukcevic, Damjan 1
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Published in...
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Statistical Applications in Genetics and Molecular Biology 3 Computational Statistics & Data Analysis 2 ERIM Ph. D. series research in management / Erasmus Institute of Management 1 IZA Journal of Labor Policy 1 IZA World of Labor 1 IZA journal of labor policy 1 IZA world of labor : evidence-based policy making 1 Small Business Economics 1 Stata Journal 1
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Source
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RePEc 7 BASE 3 ECONIS (ZBW) 3 EconStor 2
Showing 1 - 10 of 15
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Are genetic markers of interest for economic research?
Lehrer, Steven F.; Ding, Weili - In: IZA Journal of Labor Policy 6 (2017) 2, pp. 1-23
The idea that genetic differences may explain a multitude of individual-level outcomes studied by economists is far from controversial. Since more datasets now contain measures of genetic variation, it is reasonable to postulate that incorporating genomic data in economic analyses will become...
Persistent link: https://www.econbiz.de/10011986221
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What is the role for molecular genetic data in public policy?
Lehrer, Steven F.; Ding, Weili - In: IZA World of Labor (2017)
Both the availability and sheer volume of data sets containing individual molecular genetic information are growing at a rapid pace. Many argue that these data can facilitate the identification of genes underlying important socio-economic outcomes, such as educational attainment and fertility....
Persistent link: https://www.econbiz.de/10011745355
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Linear mixed models in statistical genetics
Vlaming, Ronald de - 2017
Persistent link: https://www.econbiz.de/10011717470
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What is the role for molecular genetic data in public policy? : there is potential value from incorporating genetic data in the design of effective public policy, but also some risks
Ding, Weili; Lehrer, Steven F. - 2017
Both the availability and sheer volume of data sets containing individual molecular genetic information are growing at a rapid pace. Many argue that these data can facilitate the identification of genes underlying important socio-economic outcomes, such as educational attainment and fertility....
Persistent link: https://www.econbiz.de/10011740077
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Cover Image
Are genetic markers of interest for economic research?
Lehrer, Steven F.; Ding, Weili - In: IZA journal of labor policy 6 (2017) 2, pp. 1-23
The idea that genetic differences may explain a multitude of individual-level outcomes studied by economists is far from controversial. Since more datasets now contain measures of genetic variation, it is reasonable to postulate that incorporating genomic data in economic analyses will become...
Persistent link: https://www.econbiz.de/10011709764
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The Empirical Hierarchical Bayes Approach for Pathway Integration and Gene-Environment Interactions in Genome-Wide Association Studies ; Der empirische hierarchische Bayes Ansatz f...
Sohns, Melanie - 2013
Persistent link: https://www.econbiz.de/10010353234
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An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices
Gupta, Mayetri - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 375-391
methodology is illustrated through a number of simulation studies and an application to data from genome-wide association studies. …
Persistent link: https://www.econbiz.de/10010719664
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Generating Manhattan plots in Stata
Cook, Daniel E.; Ryckman, Kelli R.; Murray, Jeffrey C. - In: Stata Journal 13 (2013) 2, pp. 323-328
Genome-wide association studies hold the potential for discovering genetic causes for a wide range of diseases, traits … genome-wide association studies data in Stata. Copyright 2013 by StataCorp LP. …
Persistent link: https://www.econbiz.de/10010680821
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Modified versions of Bayesian Information Criterion for genome-wide association studies
Frommlet, Florian; Ruhaltinger, Felix; Twaróg, Piotr; … - In: Computational Statistics & Data Analysis 56 (2012) 5, pp. 1038-1051
For the vast majority of genome-wide association studies (GWAS) statistical analysis was performed by testing markers …
Persistent link: https://www.econbiz.de/10011056396
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Robust association tests under different genetic models, allowing for binary or quantitative traits and covariates
So, HC; Sham, PC - 2011
The association of genetic variants with outcomes is usually assessed under an additive model, for example by the trend test. However, misspecification of the genetic model will lead to a reduction in power. More robust tests for association might therefore be preferred. A useful approach is to...
Persistent link: https://www.econbiz.de/10009471505
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