Posters
« Back
MODEL-AD: Bioinformatics and Data ManagementMODEL-AD: Bioinformatics and Data Management
EP26692
Poster Title: MODEL-AD: Bioinformatics and Data ManagementMODEL-AD: Bioinformatics and Data Management
Submitted on 21 Nov 2017
Author(s): Bruce Lamb1, Michael Sasner2, Andrew Saykin1, Lara Mangravite3, Gregory Carter2
Affiliations: 1Stark Neurosciences Research Institute, Indiana University, Indianapolis, IN USA 2The Jackson Laboratory, Bar Harbor, ME USA 3Sage Bionetworks, Seattle, WA USA
This poster was presented at Society for Neuroscience 2017
Poster Views: 1,069
View poster »


Poster Information
Abstract: Creation of the next generation of animal models in the Model Organism
Development and Evaluation for Late-onset Alzheimer’s Disease
(MODEL-AD) consortium will require extensive data analysis, curation,
and distribution. To this end, a central Bioinformatics and Data
Management Core (BDMC) has been created to integrate information
from large-scale data resources including the Alzheimer’s Disease
Sequencing Project, Alzheimer’s Disease Neuroimaging Initiative, the
Accelerating Medicines Partnership for Alzheimer’s Disease (AMP-AD),
Molecular Mechanisms of Vascular Etiology of Alzheimer’s Disease, and
others. We are creating bioinformatic pipelines to: (1) identify key genetic
variants that confer risk of AD from genome-wide association studies; (2)
translate candidate variants into mouse models; (3) align human disease
and animal model phenotypes to specify the optimal research use of
each animal and characterize the effects of multiple genetic variants; and
(4) broadly disseminate all data and preclinical research protocols for
community use. Here we present our early results and future plans to
meet these needs. To date, multiple variants have been identified
through the integration of results from multiple genetics studies, at both
novel and known genetic loci. Genomic, epigenetic, and functional data
have been used to predict the consequences of candidate variants,
thereby prioritizing specific genetic alterations for animal modeling via
genetic engineering. Molecular phenotypes, including transcriptomics
data from the brains of mouse models, have been systematically
compared to similar data from clinical cohorts to identify pathways
altered in both human and mouse. Finally, we are broadly sharing data
via the AMP-AD Knowledge Portal hosted by Sage Bionetworks. Future
work will expand all of these findings and resources, and additionally
integrate data and protocols from preclinical studies that use the animal
models. In sum, the BDMC is creating a resource to integrate a broad
knowledgebase to serve the creation and study of multiple animal
models to effectively model late-onset Alzheimer’s disease in vivo.
Summary: A brief summary of the Bioinformatics and Data Management core for the MODEL-AD consortium.Report abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


Etiological diagnostics of cardiomyopathies in the cardiology unit of the HUEH internal medicine department during the period from 8 January 2014 to 14 June 2014
*Axler JEAN PAUL; **Lesly Ed. ARCHER; *Raema Mimrod JEAN; *Gerald VERNELUS; *Rodolph MALEBRANCHE

Medical Student: Move over Stem Cells – Exosomes are Here! What are Exosomes & their role in Regenerative Medicine?
Amartej Singh Deol MD4 & Advisor: Shivinder S. Deol MD

Resident: NONHEALING ULCER THE NEED TO LOOK FURTHER
Briand Bounkeu MD; Ravi Shekarappa MD; La Toya Jackson DO, FAAFP; Chinedu Ivonye MD, FACP; Cristal Kudiwu MD

Striving for Equity in Surgical, Anesthesia, and Obstetric Research in Haiti: A Multi-Partner, International Research Training Collaboration
Dr. Jean Alouidor*, Dr. Frédéric Barau Déjean*, Dr. Louis-Franck Télémaque, Dr. Ronald Eveillard, Dr. Laëlle Mangurat, Dr. Isaac Martineau, Dr. Chartelin Jean Isaac, Dr. Darlène Rochelin Paultre, Carine Réveil Jean-Baptiste, Dr. Lucile Louis Riché, Dr. Jordan Pyda, Rolvix Patterson III, Dr. Blake Alkire, Dr. Eunice Dérivois-Mérisier (*Co-First Authors)

Projektstatus: Entwicklung einer konsensbasierten Therapieempfehlung für die PADOVAN-METHODE® in der Neurorehabilitation
Eisenmeier, Dimitri1; Ostermann, Thomas1; Vogel, Hannah1; Fetz, Katharina1