Investigation of prediction accuracy and the impact of sample size, ancestry, and tissue in transcriptome-wide association studies
Author:
Affiliation:
1. Population Health Sciences Institute, Faculty of Medical Sciences; Newcastle University; Newcastle upon Tyne UK
2. Division of Musculoskeletal and Dermatological Sciences; University of Manchester; Manchester UK
Funder
Biotechnology and Biological Sciences Research Council
Wellcome Trust
Publisher
Wiley
Subject
Genetics(clinical),Epidemiology
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/gepi.22290/fullpdf
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3. Effectiveness of shrinkage and variable selection methods for the prediction of complex human traits using data from distantly related individuals;Berger;Annals of Human Genetics,2015
4. Application of high-dimensional feature selection: Evaluation for genomic prediction in man;Bermingham;Scientific Reports,2015
5. Modeling prediction error improves power of transcriptome-wide association studies;Bhutani;BioRxiv,2017
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