IDEAS home Printed from https://ideas.repec.org/r/plo/pgen00/1003348.html
   My bibliography  Save this item

Power and Predictive Accuracy of Polygenic Risk Scores

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Paul Hufe & Andreas Peichl, 2020. "Beyond Equal Rights: Equality of Opportunity in Political Participation," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 477-511, September.
  2. 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.
  3. Pankaj C. Patel & Cornelius A. Rietveld & Ingrid Verheul, 2021. "Attention Deficit Hyperactivity Disorder (ADHD) and Earnings in Later-Life Self-Employment," Entrepreneurship Theory and Practice, , vol. 45(1), pages 43-63, January.
  4. 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.
  5. 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.
  6. Nicos Nicolaou & Phillip H. Phan & Ute Stephan, 2021. "The Biological Perspective in Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 45(1), pages 3-17, January.
  7. Wertz, Jasmin & Israel, Salomon & Arseneault, Louise & Belsky, Daniel W. & Bourassa, Kyle J. & Harrington, HonaLee & Houts, Renate & Poulton, Richie & Richmond-Rakerd, Leah S. & Røysamb, Espen & Moffi, 2021. "Vital personality scores and healthy aging: Life-course associations and familial transmission," Social Science & Medicine, Elsevier, vol. 285(C).
  8. Sihai Dave Zhao, 2017. "Integrative genetic risk prediction using non-parametric empirical Bayes classification," Biometrics, The International Biometric Society, vol. 73(2), pages 582-592, June.
  9. Trejo, Sam, 2020. "Exploring Genetic Influences on Birth Weight," SocArXiv 7j59q, Center for Open Science.
  10. Lauren L. Schmitz & Dalton Conley, 2016. "The Impact of Late-Career Job Loss and Genotype on Body Mass Index," NBER Working Papers 22348, National Bureau of Economic Research, Inc.
  11. 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.
  12. Hans Kippersluis & Pietro Biroli & Rita Dias Pereira & Titus J. Galama & Stephanie Hinke & S. Fleur W. Meddens & Dilnoza Muslimova & Eric A. W. Slob & Ronald Vlaming & Cornelius A. Rietveld, 2023. "Overcoming attenuation bias in regressions using polygenic indices," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  13. Steven F. Lehrer & Weili Ding, 2017. "Are genetic markers of interest for economic research?," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-23, December.
  14. Peter M Visscher & Gibran Hemani & Anna A E Vinkhuyzen & Guo-Bo Chen & Sang Hong Lee & Naomi R Wray & Michael E Goddard & Jian Yang, 2014. "Statistical Power to Detect Genetic (Co)Variance of Complex Traits Using SNP Data in Unrelated Samples," PLOS Genetics, Public Library of Science, vol. 10(4), pages 1-10, April.
  15. Reuben, Aaron & Arseneault, Louise & Belsky, Daniel W. & Caspi, Avshalom & Fisher, Helen L. & Houts, Renate M. & Moffitt, Terrie E. & Odgers, Candice, 2019. "Residential neighborhood greenery and children's cognitive development," Social Science & Medicine, Elsevier, vol. 230(C), pages 271-279.
  16. 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.
  17. María Gordillo-Marañón & Magdalena Zwierzyna & Pimphen Charoen & Fotios Drenos & Sandesh Chopade & Tina Shah & Jorgen Engmann & Nishi Chaturvedi & Olia Papacosta & Goya Wannamethee & Andrew Wong & Ree, 2021. "Validation of lipid-related therapeutic targets for coronary heart disease prevention using human genetics," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
  18. Tianying Wang & Alex Asher, 2021. "Improved Semiparametric Analysis of Polygenic Gene–Environment Interactions in Case–Control Studies," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(3), pages 386-401, December.
  19. Claudia Wigmann & Anke Hüls & Jean Krutmann & Tamara Schikowski, 2022. "Estimating the Relative Contribution of Environmental and Genetic Risk Factors to Different Aging Traits by Combining Correlated Variables into Weighted Risk Scores," IJERPH, MDPI, vol. 19(24), pages 1-13, December.
  20. 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.
  21. 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).
  22. 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.
  23. Rita Dias Pereira & Pietro Biroli & Titus Galama & Stephanie von Hinke & Hans van Kippersluis & Cornelius A. Rietveld & Kevin Thom, 2022. "Gene-Environment Interplay in the Social Sciences," Papers 2203.02198, arXiv.org, revised Aug 2022.
  24. Miguel Chagnon & Jennifer O’Loughlin & James C Engert & Igor Karp & Marie-Pierre Sylvestre, 2018. "Missing single nucleotide polymorphisms in Genetic Risk Scores: A simulation study," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-14, July.
  25. Chabris, C. F. & Lee, J. J. & Cesarini, D. & Benjamin, D. J. & Laibson, David I., 2015. "The Fourth Law of Behavior Genetics," Scholarly Articles 30780203, Harvard University Department of Economics.
  26. Aleix Arnau-Soler & Mark J Adams & Generation Scotland & Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium & Caroline Hayward & Pippa A Thomson, 2018. "Genome-wide interaction study of a proxy for stress-sensitivity and its prediction of major depressive disorder," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-29, December.
  27. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
  28. 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.
  29. Fasil Tekola-Ayele & Cuilin Zhang & Jing Wu & Katherine L Grantz & Mohammad L Rahman & Deepika Shrestha & Marion Ouidir & Tsegaselassie Workalemahu & Michael Y Tsai, 2020. "Trans-ethnic meta-analysis of genome-wide association studies identifies maternal ITPR1 as a novel locus influencing fetal growth during sensitive periods in pregnancy," PLOS Genetics, Public Library of Science, vol. 16(5), pages 1-20, May.
  30. Wei Jiang & Ling Chen & Matthew J. Girgenti & Hongyu Zhao, 2024. "Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  31. 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.
  32. Oliver Pain & Kylie P Glanville & Saskia P Hagenaars & Saskia Selzam & Anna E Fürtjes & Héléna A Gaspar & Jonathan R I Coleman & Kaili Rimfeld & Gerome Breen & Robert Plomin & Lasse Folkersen & Cathry, 2021. "Evaluation of polygenic prediction methodology within a reference-standardized framework," PLOS Genetics, Public Library of Science, vol. 17(5), pages 1-22, May.
  33. Andrea G Allegrini & Ville Karhunen & Jonathan R I Coleman & Saskia Selzam & Kaili Rimfeld & Sophie von Stumm & Jean-Baptiste Pingault & Robert Plomin, 2020. "Multivariable G-E interplay in the prediction of educational achievement," PLOS Genetics, Public Library of Science, vol. 16(11), pages 1-20, November.
  34. Lauren Gaydosh & Daniel W. Belsky & Benjamin W. Domingue & Jason D. Boardman & Kathleen Mullan Harris, 2018. "Father Absence and Accelerated Reproductive Development in Non-Hispanic White Women in the United States," Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1245-1267, August.
  35. 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.
  36. Bingxin Zhao & Fei Zou & Hongtu Zhu, 2023. "Cross‐trait prediction accuracy of summary statistics in genome‐wide association studies," Biometrics, The International Biometric Society, vol. 79(2), pages 841-853, June.
  37. Liang, Liang & Ma, Yanyuan & Carroll, Raymond J., 2019. "A semiparametric efficient estimator in case-control studies for gene–environment independent models," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 38-50.
  38. Yi Zeng & Huashuai Chen & Xiaomin Liu & Rui Ye & Enjun Xie & Zhihua Chen & Jiehua Lu & Jianxin Li & Yaohua Tian & Ting Ni & Lars Bolund & Kenneth C. Land & Anatoliy Yashin & Angela M. O'Rand & Liang S, 2017. "Sex differences in genetic associations with longevity in Han Chinese: sex-stratified genome-wide association study and polygenic risk score analysis," MPIDR Working Papers WP-2017-004, Max Planck Institute for Demographic Research, Rostock, Germany.
  39. Brenden Tervo-Clemmens & Finnegan J. Calabro & Ashley C. Parr & Jennifer Fedor & William Foran & Beatriz Luna, 2023. "A canonical trajectory of executive function maturation from adolescence to adulthood," Nature Communications, Nature, vol. 14(1), pages 1-17, December.
  40. 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.
  41. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.