Network-based analysis of genetic variants associated with hippocampal volume in Alzheimer’s disease: a study of ADNI cohorts

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• 作者：Ailin Song ; Jingwen Yan ; Sungeun Kim ; Shannon Leigh Risacher…
• 刊名：BioData Mining
• 出版年：2016
• 出版时间：December 2016
• 年：2016
• 卷：9
• 期：1
• 全文大小：844 KB
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• 作者单位：Ailin Song (1) (2) (3)
  Jingwen Yan (4) (5) (6)
  Sungeun Kim (4) (5) (7)
  Shannon Leigh Risacher (4) (7)
  Aaron K. Wong (8)
  Andrew J. Saykin (4) (7)
  Li Shen (4) (5) (6) (7)
  Casey S. Greene (1) (2) (3) (9)
  for the Alzheimer’s Disease Neuroimaging Initiative
  
  1. Department of Genetics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
  2. Dartmouth-Hitchcock Norris Cotton Cancer Center, Lebanon, New Hampshire, USA
  3. Institute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, New Hampshire, USA
  4. Center for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, Indiana, USA
  5. Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA
  6. School of Informatics and Computing, Indiana University Indianapolis, Indianapolis, Indiana, USA
  7. Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, Indiana, USA
  8. Simons Center for Data Analysis, Simons Foundation, New York, NY, USA
  9. Department of Systems Pharmacology and Translational Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvnia, USA
  
• 刊物主题：Computer Appl. in Life Sciences; Computational Biology/Bioinformatics; Data Mining and Knowledge Discovery; Bioinformatics; Algorithms;
• 出版者：BioMed Central
• ISSN：1756-0381

文摘

Background Alzheimer’s disease (AD) is a neurodegenerative disease that causes dementia. While molecular basis of AD is not fully understood, genetic factors are expected to participate in the development and progression of the disease. Our goal was to uncover novel genetic underpinnings of Alzheimer’s disease with a bioinformatics approach that accounts for tissue specificity.