Convergent functional genomic (CFG) Ranks

  CFG method:

  Convergent functional genomic (CFG) is a method aiming at prioritizing AD candidate genes. CFG integrates AD related evidence including:

  1) Genetic association of DNA variations with disease susceptibility;

  2) gene expression regulated by AD genetic variants;

  3) protein-protein interaction with AD core proteins, i.e. APP, PSEN1, PSEN2, APOE and MAPT;

  4) diagnosis prediction of disease models.

  Data source:

  Lambert et al. Meta-analysis of 74,046 individuals identifies 11 new susceptibility loci for Alzheimer's disease. Nature genetics, 45(12): 1452-1458 (2013).

  Colantuoni et al. Temporal dynamics and genetic control of transcription in the human prefrontal cortex. Nature, 478(7370): 519-523 (2011).

  Itan et al. The human gene connectome as a map of short cuts for morbid allele discovery. Proceedings of the National Academy of Sciences, 110(14): 5558-5563 (2013).

  Matarin et al. A genome-wide gene-expression analysis and database in transgenic mice during development of amyloid or tau pathology. Cell reports, 10(4): 633-644 (2015).