Improved Semiparametric Analysis of Polygenic Gene–Environment Interactions in Case–Control Studies
Author
Abstract
Suggested Citation
DOI: 10.1007/s12561-020-09298-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Frank Dudbridge, 2013. "Power and Predictive Accuracy of Polygenic Risk Scores," PLOS Genetics, Public Library of Science, vol. 9(3), pages 1-17, March.
- Iryna Lobach & Raymond J. Carroll & Christine Spinka & Mitchell H. Gail & Nilanjan Chatterjee, 2008. "Haplotype‐Based Regression Analysis and Inference of Case–Control Studies with Unphased Genotypes and Measurement Errors in Environmental Exposures," Biometrics, The International Biometric Society, vol. 64(3), pages 673-684, September.
- Bhramar Mukherjee & Nilanjan Chatterjee, 2008. "Exploiting Gene‐Environment Independence for Analysis of Case–Control Studies: An Empirical Bayes‐Type Shrinkage Estimator to Trade‐Off between Bias and Efficiency," Biometrics, The International Biometric Society, vol. 64(3), pages 685-694, September.
- Lin, D.Y. & Zeng, D., 2006. "Likelihood-Based Inference on Haplotype Effects in Genetic Association Studies," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 89-104, March.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Jinbo Chen & Dongyu Lin & Hagit Hochner, 2012. "Semiparametric Maximum Likelihood Methods for Analyzing Genetic and Environmental Effects with Case-Control Mother–Child Pair Data," Biometrics, The International Biometric Society, vol. 68(3), pages 869-877, September.
- Mitchell, Brittany L. & Hansell, Narelle K. & McAloney, Kerrie & Martin, Nicholas G. & Wright, Margaret J. & Renteria, Miguel E. & Grasby, Katrina L., 2022. "Polygenic influences associated with adolescent cognitive skills," Intelligence, Elsevier, vol. 94(C).
- Yuan Zhang & Shili Lin & Swati Biswas, 2017. "Detecting rare and common haplotype–environment interaction under uncertainty of gene–environment independence assumption," Biometrics, The International Biometric Society, vol. 73(1), pages 344-355, March.
- Jinbo Chen & Carmen Rodriguez, 2007. "Conditional Likelihood Methods for Haplotype-Based Association Analysis Using Matched Case–Control Data," Biometrics, The International Biometric Society, vol. 63(4), pages 1099-1107, December.
- Brisa N. Sánchez & Shan Kang & Bhramar Mukherjee, 2012. "A Latent Variable Approach to Study Gene–Environment Interactions in the Presence of Multiple Correlated Exposures," Biometrics, The International Biometric Society, vol. 68(2), pages 466-476, June.
- Cornelius A. Rietveld & Pankaj C. Patel, 2019. "ADHD and later-life labor market outcomes in the United States," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(7), pages 949-967, September.
- Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Kevin Thom, 2022.
"Economics and Econometrics of Gene-Environment Interplay,"
Bristol Economics Discussion Papers
22/759, School of Economics, University of Bristol, UK.
- Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Tinbergen Institute Discussion Papers 22-019/V, Tinbergen Institute.
- Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Working Papers 2022-005, Human Capital and Economic Opportunity Working Group.
- Pietro Biroli & Titus J. Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "The Economics and Econometrics of Gene-Environment Interplay," Papers 2203.00729, arXiv.org.
- Iryna Lobach & Raymond J. Carroll & Christine Spinka & Mitchell H. Gail & Nilanjan Chatterjee, 2008. "Haplotype‐Based Regression Analysis and Inference of Case–Control Studies with Unphased Genotypes and Measurement Errors in Environmental Exposures," Biometrics, The International Biometric Society, vol. 64(3), pages 673-684, September.
- George B. Busby & Scott Kulm & Alessandro Bolli & Jen Kintzle & Paolo Di Domenico & Giordano Bottà, 2023. "Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
- Bhramar Mukherjee & Jaeil Ahn & Stephen B. Gruber & Malay Ghosh & Nilanjan Chatterjee, 2010. "Case–Control Studies of Gene–Environment Interaction: Bayesian Design and Analysis," Biometrics, The International Biometric Society, vol. 66(3), pages 934-948, September.
- Xu, Yilan & Briley, Daniel A. & Brown, Jeffrey R. & Roberts, Brent W., 2017. "Genetic and environmental influences on household financial distress," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 404-424.
- John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & Katherine L. Milkman, 2015.
"The Effect of Providing Peer Information on Retirement Savings Decisions,"
Journal of Finance, American Finance Association, vol. 70(3), pages 1161-1201, June.
- John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & Katherine L. Milkman, 2011. "The Effect of Providing Peer Information on Retirement Savings Decisions," NBER Working Papers 17345, National Bureau of Economic Research, Inc.
- Milkman, Katherine L. & Beshears, John Leonard & Choi, James J. & Laibson, David I. & Madrian, Brigitte, 2015. "The Effect of Providing Peer Information on Retirement Savings Decisions," Scholarly Articles 32785047, Harvard University Department of Economics.
- Jingning Zhang & Jianan Zhan & Jin Jin & Cheng Ma & Ruzhang Zhao & Jared O’Connell & Yunxuan Jiang & Bertram L. Koelsch & Haoyu Zhang & Nilanjan Chatterjee, 2024. "An ensemble penalized regression method for multi-ancestry polygenic risk prediction," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Effraimidis, Georgios & Levine, Morgan & Crimmins, Eileen, 2016. "Measuring the Effect of the Polygenic Risk Score on the Aging Rate," DaCHE discussion papers 2016:7, University of Southern Denmark, Dache - Danish Centre for Health Economics.
- Joey Ward & Nicholas Graham & Rona J Strawbridge & Amy Ferguson & Gregory Jenkins & Wenan Chen & Karen Hodgson & Mark Frye & Richard Weinshilboum & Rudolf Uher & Cathryn M Lewis & Joanna Biernacka & D, 2018. "Polygenic risk scores for major depressive disorder and neuroticism as predictors of antidepressant response: Meta-analysis of three treatment cohorts," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-8, September.
- Bingxin Zhao & Fei Zou, 2022. "On polygenic risk scores for complex traits prediction," Biometrics, The International Biometric Society, vol. 78(2), pages 499-511, June.
- Keira J A Johnston & Joey Ward & Pradipta R Ray & Mark J Adams & Andrew M McIntosh & Blair H Smith & Rona J Strawbridge & Theodore J Price & Daniel J Smith & Barbara I Nicholl & Mark E S Bailey, 2021. "Sex-stratified genome-wide association study of multisite chronic pain in UK Biobank," PLOS Genetics, Public Library of Science, vol. 17(4), pages 1-27, April.
- Wu Song & Yang Jie & Wu Rongling, 2010. "Mapping Quantitative Trait Loci in a Non-Equilibrium Population," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-21, August.
- Jasmin Wertz & Terrie E. Moffitt & Louise Arseneault & J. C. Barnes & Michel Boivin & David L. Corcoran & Andrea Danese & Robert J. Hancox & HonaLee Harrington & Renate M. Houts & Stephanie Langevin &, 2023. "Genetic associations with parental investment from conception to wealth inheritance in six cohorts," Nature Human Behaviour, Nature, vol. 7(8), pages 1388-1401, August.
- Bertoni, M.; & Marin-Lopez, B.A.; & Sanz-de-Galdeano, A.;, 2023. "Subjective Gender-Based Patterns in ADHD Diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 23/17, HEDG, c/o Department of Economics, University of York.
More about this item
Keywords
Gene–environment interaction; Case–control study; Genetic epidemiology; Semiparametric estimation; Biased samples;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:stabio:v:13:y:2021:i:3:d:10.1007_s12561-020-09298-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.