Dissertation/Thesis Abstract

The author has requested that access to this graduate work be delayed until 2020-01-12. After this date, this graduate work will be available on an open access basis.
Multiscale Approaches to Complex Human Diseases
by Beckmann, Noam D., Ph.D., Icahn School of Medicine at Mount Sinai, 2018, 270; 10743987
Abstract (Summary)

Elucidating the fundamental biological mechanisms underlying complex diseases remains, to date, a challenging task. Genetic approaches have been used to implicate genes and pathways in disease, but classical (reverse) and population (forward) genetic approaches have fallen short of bringing new understanding to multi-factorial disorders. With the emergence of rapidly advancing, new technologies and the dramatic reduction of their costs, new algorithms and analytical models that maximally leverage the data these technologies generate, are being developed to uncover novel biological insights for complex traits. Furthermore, the integration of multiple strata of biological information permits the creation of better representations of disease. This thesis aims to leverage some of these models on novel multi-scale datasets to explore the mechanisms of Alzheimer’s disease and the variability of induced pluripotent stem cells.

Indexing (document details)
Advisor: Schadt, Eric E., Houten, Sander M.
Commitee: Cho, Judy H., Ma'ayan, Avi, Mason, Christopher E., Nestler, Eric J.
School: Icahn School of Medicine at Mount Sinai
Department: Genetics and Genomic Sciences
School Location: United States -- New York
Source: DAI-B 79/05(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Genetics, Systematic biology, Bioinformatics
Keywords: Alzheimer's disease, Data integration, Modeling, Multiscale, Omics, iPSCs
Publication Number: 10743987
ISBN: 9780355606881
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest