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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

  • Bjarni J. Vilhjálmsson*
  • , Psychosis Endophenotypes International Consortium (PEIC)
  • , Wellcome Trust Case Control Consortium (WTCCC)
  • , Schizophrenia Working Group of the Psychiatric Genomics Consortium
  • , Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON)
  • , Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study
  • , Jian Yang
  • , Hilary K. Finucane
  • , Alexander Gusev
  • , Sara Lindström
  • , Stephan Ripke
  • , Giulio Genovese
  • , Po Ru Loh
  • , Gaurav Bhatia
  • , Ron Do
  • , Tristan Hayeck
  • , Hong Hee Won
  • , Benjamin M. Neale
  • , Aiden Corvin
  • , James T.R. Walters
    • Kai How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Lyudmila Georgieva, Tao Li, Jing Qin Wu, Roel A. Ophoff, Danielle Posthuma, Peter Kraft, Muriel Adank, Hanne Meijers-Heijboer, María José Sánchez, Andre G. Uitterlinden
*Corresponding author for this work
  • Harvard T.H. Chan School of Public Health
  • Massachusetts Institute of Technology
  • Aarhus University
  • University of Queensland
  • Broad Institute of MIT and Harvard
  • Massachusetts General Hospital
  • Charité – Universitätsmedizin Berlin
  • Hebrew SeniorLife
  • Icahn School of Medicine at Mount Sinai

Research output: Contribution to journal › Article › Academic › peer-review

978 Citations (Scopus)

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