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Milestone 2.G

Maximize the translational potential of genetics research by ensuring rapid and broad sharing of large-scale genetic/genomic data, similar to the open science, data sharing model of the AMP AD program and by supporting programs focused on:

  • Understanding the mechanisms by which genetic variants (including ApoE) discovered through GWAS and sequencing studies influence AD risk
  • Integrating genomic data with other multi-omics data from brain, peripheral tissues, and iPSC cellular models from well-phenotyped cohorts
  • Establishing the gene-basis and directionality for genetic variant association so gene networks can be annotated with causality as tools for drug discovery.

Success Criteria

  • Launch an open science research program focused on generating knowledge on the mechanisms by which genetic variants influence AD risk and the directionality for genetic variation association.  Develop gene networks that are annotated with causality as open source analytical tools for drug discovery.


Research Implementation Area
Research on Disease Mechanisms
Timeline
2018–2023
Status
In Progress

Accomplishments/Implementation Activities

Funding Initiatives

Research Programs and Resources

Research Highlights

Relevant Recommendations