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Assessing the performance of genome-wide association studies for predicting disease risk

  • Published:2019-12-05 Issue:12 Volume:14 Page:e0220215
  • ISSN:1932-6203
  • Container-title:PLOS ONE
  • language:en
  • Short-container-title:PLoS ONE

Author:

Patron Jonas,Serra-Cayuela Arnau,Han Beomsoo,Li CarinORCID,Wishart David ScottORCID

Funder

Genome Canada

Genome Alberta

Canada Foundation for Innovation

Canadian Institutes of Health Research

Natural Sciences and Engineering Research Council

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference102 articles.

1. Complement factor H polymorphism in age-related macular degeneration;RJ Klein;Science,2005

2. Genome-wide Analysis of Insomnia (N = 1,331,010) Identifies Novel Loci and Functional Pathways;PR Jansen;bioRxiv,2018

3. GWAS Central: a comprehensive resource for the comparison and interrogation of genome-wide association studies;T Beck;Eur J Hum Genet EJHG,2014

4. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog);J MacArthur;Nucleic Acids Res,2017

5. Genomewide association studies and assessment of the risk of disease;TA Manolio;N Engl J Med,2010

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