Assessing polyomic risk to predict Alzheimer's disease using a machine learning model.

Journal: Alzheimer's & dementia : the journal of the Alzheimer's Association
PMID:

Abstract

INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia in the elderly. Given that AD neuropathology begins decades before symptoms, there is a dire need for effective screening tools for early detection of AD to facilitate early intervention.

Authors

  • Tiffany Ngai
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Julian Willett
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Mohammad Waqas
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Lucas H Fishbein
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Younjung Choi
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Georg Hahn
    Department of Biostatistics, T.H. Chan School of Public Health, Harvard University, Boston, MA, United States of America.
  • Kristina Mullin
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.
  • Christoph Lange
    Clinical Infectious Diseases, Research Center Borstel, Borstel, Germany.
  • Julian Hecker
    Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Rudolph E Tanzi
    Genetics and Aging Research Unit, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
  • Dmitry Prokopenko
    Department of Neurology, Genetics and Aging Research Unit and the McCance Center for Brain Health, Massachusetts General Hospital and Harvard Medical School, Charlestown, Massachusetts, USA.