A deep learning approach to prediction of blood group antigens from genomic data.

Journal: Transfusion
PMID:

Abstract

BACKGROUND: Deep learning methods are revolutionizing natural science. In this study, we aim to apply such techniques to develop blood type prediction models based on cheap to analyze and easily scalable screening array genotyping platforms.

Authors

  • Camous Moslemi
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.
  • Susanne Sækmose
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.
  • Rune Larsen
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.
  • Thorsten Brodersen
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.
  • Jakob T Bay
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.
  • Maria Didriksen
    Department of Clinical Immunology, Copenhagen University Hospital, Rigshopitalet, Copenhagen, Denmark.
  • Kaspar R Nielsen
    Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark.
  • Mie T Bruun
    Department of Clinical Immunology, Odense University Hospital, Odense, Denmark.
  • Joseph Dowsett
    Department of Clinical Immunology, Copenhagen University Hospital, Rigshopitalet, Copenhagen, Denmark.
  • Khoa M Dinh
    Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.
  • Christina Mikkelsen
    Department of Clinical Immunology, Copenhagen University Hospital, Rigshopitalet, Copenhagen, Denmark.
  • Kati Hyvärinen
    Finnish Red Cross Blood Service, Helsinki, Finland.
  • Jarmo Ritari
    Finnish Red Cross Blood Service, Helsinki, Finland.
  • Jukka Partanen
    Finnish Red Cross Blood Service, Helsinki, Finland.
  • Henrik Ullum
    Statens Serum Institut, Copenhagen, Denmark.
  • Christian Erikstrup
    Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.
  • Sisse R Ostrowski
    Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen Medical School, Copenhagen, Denmark.
  • Martin L Olsson
    Department of Laboratory Medicine, Lund University, Lund, Sweden.
  • Ole B Pedersen
    Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark.