Deep genomics of type 2 Diabetes

Type 2 diabetes mellitus has been at the forefront of human diseases and phenotypes studied by
new genetic analyses. Thanks to genome-wide association studies, we have made substantial
progress in elucidating the genetic basis of type 2 diabetes.

This tutorial summarizes the concept, history, and recent discoveries produced by genome-wide association studies for type 2 diabetes and glycemic traits, with a focus on the key notions we have gleaned from these efforts. Genome-wide association findings have illustrated novel pathways, pointed toward fundamental biology, confirmed prior epidemiological observations, and provided possible targets for pharmacotherapy and pharmacogenetic clinical trials.

Deep neural networks can be trained to detect Type 2 diabetes using a few biochemical and anthropogenic measurements. Such a network can then be used to predict onset of diabetes in other patients with access to these parameters. The tutorial will discuss a few other applications of deep learning in genomics of type 2 diabetes.

 
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Outline/Structure of the Talk

A detailed Jupyter notebook based presentation on

  1. Identification of critical genes related to T2D based on GWAS studies
  2. Innovative genomic data visualation such as
    1. word cloud for implicated pathways
    2. genomic localization of T2D genes and pathways
    3. network analysis plans
  3. Deep learning for detection and prediction of T2D based on biochemical and anthropogenic measurements
  4. Conclusions and road ahead

Learning Outcome

Understanding of how machine learning and deep learning can be applied in detection and eventually prevention of type 2 diabetes.

Target Audience

AI developers, Healthcare professionals

Prerequisites for Attendees

  • Exposure to Machine Learning
  • Exposure to Deep Learning
  • Exposure to genomics
schedule Submitted 8 months ago

Public Feedback

comment Suggest improvements to the Speaker
  • Usha Rengaraju
    By Usha Rengaraju  ~  3 months ago
    reply Reply

    Hi Anoop,

    Thank you for the proposal submission. Interesting topic. Are you planning to walkthrough the code or is it summarization of the results ?

    Thanks and Regards,

    Usha Rengaraju

  • Venkatraman J
    By Venkatraman J  ~  5 months ago
    reply Reply

    Anoop,

    Thanks for submitting the proposal. I see you have submitted three proposals. Last year we followed one session per speaker mostly apart from workshop. Do you intend to do a talk or workshop?.

    • Anoop Kulkarni
      By Anoop Kulkarni  ~  4 months ago
      reply Reply

      Yes I submitted 3, but will withdraw two depending on whether we decide to do a workshop or tutorial and on what topic.. 

      My personal preference is to do this one as a tutorial / workshop.

       

      Thanks

      ~anoop