A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS)
Author
Abstract
Suggested Citation
DOI: 10.1515/sagmb-2017-0054
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
- Nick Patterson & Alkes L Price & David Reich, 2006. "Population Structure and Eigenanalysis," PLOS Genetics, Public Library of Science, vol. 2(12), pages 1-20, December.
- Zhao Huaqing & Rebbeck Timothy R. & Mitra Nandita, 2012. "Analyzing Genetic Association Studies with an Extended Propensity Score Approach," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-24, October.
- Lin, D. Y. & Zeng, D., 2011. "Correcting for Population Stratification in Genomewide Association Studies," Journal of the American Statistical Association, American Statistical Association, vol. 106(495), pages 997-1008.
- Matthieu Bouaziz & Christophe Ambroise & Mickael Guedj, 2011. "Accounting for Population Stratification in Practice: A Comparison of the Main Strategies Dedicated to Genome-Wide Association Studies," PLOS ONE, Public Library of Science, vol. 6(12), pages 1-13, December.
- Guido W. Imbens, 2004.
"Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review,"
The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
- Guido W. Imbens, 2003. "Nonparametric Estimation of Average Treatment Effects under Exogeneity: A Review," NBER Technical Working Papers 0294, National Bureau of Economic Research, Inc.
- B. Devlin & Kathryn Roeder, 1999. "Genomic Control for Association Studies," Biometrics, The International Biometric Society, vol. 55(4), pages 997-1004, December.
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.- Zhao Huaqing & Rebbeck Timothy R. & Mitra Nandita, 2012. "Analyzing Genetic Association Studies with an Extended Propensity Score Approach," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(5), pages 1-24, October.
- Ilja M Nolte & Chris Wallace & Stephen J Newhouse & Daryl Waggott & Jingyuan Fu & Nicole Soranzo & Rhian Gwilliam & Panos Deloukas & Irina Savelieva & Dongling Zheng & Chrysoula Dalageorgou & Martin F, 2009. "Common Genetic Variation Near the Phospholamban Gene Is Associated with Cardiac Repolarisation: Meta-Analysis of Three Genome-Wide Association Studies," PLOS ONE, Public Library of Science, vol. 4(7), pages 1-10, July.
- Peristera Paschou & Petros Drineas & Jamey Lewis & Caroline M Nievergelt & Deborah A Nickerson & Joshua D Smith & Paul M Ridker & Daniel I Chasman & Ronald M Krauss & Elad Ziv, 2008. "Tracing Sub-Structure in the European American Population with PCA-Informative Markers," PLOS Genetics, Public Library of Science, vol. 4(7), pages 1-13, July.
- Kai Yu & Zhaoming Wang & Qizhai Li & Sholom Wacholder & David J Hunter & Robert N Hoover & Stephen Chanock & Gilles Thomas, 2008. "Population Substructure and Control Selection in Genome-Wide Association Studies," PLOS ONE, Public Library of Science, vol. 3(7), pages 1-14, July.
- Marie-Claude Babron & Marie de Tayrac & Douglas N Rutledge & Eleftheria Zeggini & Emmanuelle Génin, 2012. "Rare and Low Frequency Variant Stratification in the UK Population: Description and Impact on Association Tests," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-9, October.
- Ning Jiang & Minghui Wang & Tianye Jia & Lin Wang & Lindsey Leach & Christine Hackett & David Marshall & Zewei Luo, 2011. "A Robust Statistical Method for Association-Based eQTL Analysis," PLOS ONE, Public Library of Science, vol. 6(8), pages 1-11, August.
- André X C N Valente & Joseph Zischkau & Joo Heon Shin & Yuan Gao & Abhijit Sarkar, 2012. "Genome-Wide Association Study Heterogeneous Cohort Homogenization via Subject Weight Knock-Down," PLOS ONE, Public Library of Science, vol. 7(10), pages 1-10, October.
- Thomas Charlon & Manuel Martínez-Bueno & Lara Bossini-Castillo & F David Carmona & Alessandro Di Cara & Jérôme Wojcik & Sviatoslav Voloshynovskiy & Javier Martín & Marta E Alarcón-Riquelme, 2016. "Single Nucleotide Polymorphism Clustering in Systemic Autoimmune Diseases," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-10, August.
- Li, Zhaohai & Zhang, Hong & Zheng, Gang & Gastwirth, Joseph L. & Gail, Mitchell H., 2009. "Excess false positive rate caused by population stratification and disease rate heterogeneity in case-control association studies," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1767-1781, March.
- Lei Zhang & Yu-Fang Pei & Jian Li & Christopher J Papasian & Hong-Wen Deng, 2009. "Univariate/Multivariate Genome-Wide Association Scans Using Data from Families and Unrelated Samples," PLOS ONE, Public Library of Science, vol. 4(8), pages 1-12, August.
- van de Walle, Dominique & Mu, Ren, 2007.
"Fungibility and the flypaper effect of project aid: Micro-evidence for Vietnam,"
Journal of Development Economics, Elsevier, vol. 84(2), pages 667-685, November.
- van de Walle, Dominique & Ren Mu, 2007. "Fungibility and the flypaper effect of project aid : micro-evidence for Vietnam," Policy Research Working Paper Series 4133, The World Bank.
- Lechner, Michael, 2018.
"Modified Causal Forests for Estimating Heterogeneous Causal Effects,"
IZA Discussion Papers
12040, Institute of Labor Economics (IZA).
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," CEPR Discussion Papers 13430, C.E.P.R. Discussion Papers.
- Lechner, Michael, 2019. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Economics Working Paper Series 1901, University of St. Gallen, School of Economics and Political Science.
- Michael Lechner, 2018. "Modified Causal Forests for Estimating Heterogeneous Causal Effects," Papers 1812.09487, arXiv.org, revised Jul 2019.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018.
"High-dimensional econometrics and regularized GMM,"
CeMMAP working papers
CWP35/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Alexandre Belloni & Victor Chernozhukov & Denis Chetverikov & Christian Hansen & Kengo Kato, 2018. "High-Dimensional Econometrics and Regularized GMM," Papers 1806.01888, arXiv.org, revised Jun 2018.
- Turner, Alex J. & Fichera, Eleonora & Sutton, Matt, 2021. "The effects of in-utero exposure to influenza on mental health and mortality risk throughout the life-course," Economics & Human Biology, Elsevier, vol. 43(C).
- Dominic Holland & Oleksandr Frei & Rahul Desikan & Chun-Chieh Fan & Alexey A Shadrin & Olav B Smeland & V S Sundar & Paul Thompson & Ole A Andreassen & Anders M Dale, 2020. "Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model," PLOS Genetics, Public Library of Science, vol. 16(5), pages 1-30, May.
- Roxana Elena Manea, 2021. "School Feeding Programmes, Education and Food Security in Rural Malawi," CIES Research Paper series 63-2020, Centre for International Environmental Studies, The Graduate Institute.
- Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
- José de Sousa & Guillaume Hollard, 2021. "From Micro to Macro Gender Differences: Evidence from Field Tournaments," Post-Print hal-03389151, HAL.
- repec:ags:jrapmc:122316 is not listed on IDEAS
- Gunther Bensch & Jörg Peters, 2013. "Alleviating Deforestation Pressures? Impacts of Improved Stove Dissemination on Charcoal Consumption in Urban Senegal," Land Economics, University of Wisconsin Press, vol. 89(4), pages 676-698.
- G. Miller & Yuriy Pylypchuk, 2014. "Marital Status, Spousal Characteristics, and the Use of Preventive Care," Journal of Family and Economic Issues, Springer, vol. 35(3), pages 323-338, September.
More about this item
Keywords
bias; principal components analysis; propensity score; testicular germ cell tumors; Tracy-Widom statistic;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:bpj:sagmbi:v:17:y:2018:i:6:p:12:n:1. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.