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Massachusetts Institute of Technology

Whole genome regulatory variant evaluation for transcription factor binding

Abstract

dc:description.abstract

With the advent of high-throughput sequencing technology, Genome Wide Association Studies (GWAS) have identified thousands of genetic variants that are associated with disease and complex traits. Many of these variants reside in the non-coding region of the genome, and affect gene expression and downstream cellular phenotype by disrupting the regulatory machinery of the cell. For example these variants can alter the binding of the transcription factors (TF). In this thesis we present Whole-genome regulAtory Variant Evaluation (WAVE), a computational method that models the TF binding ChIP-seq signal solely from DNA sequence and predicts genetic a variant's effect on TF binding. Applying WAVE to two important transcription factors, NFnB and CTCF, we show that WAVE accurately predicts ChIP-seq signal on held-out chromosome. WAVE discovers the DNA motif of the target TF as well as the binding co-factors, displaying substantially greater expressiveness in modeling TF binding than conventional motif-based approaches. Furthermore, with AUC larger than 0.7 in the most stringent control scenario, WAVE outperformed existing motif-based approaches in predicting genetic variants associated with allele-specific binding.

Degree

thesis:*
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zeng, Haoyang, Ph.D. Massachusetts Institute of Technology
Advisor dc:contributor.advisor
  • David K. Gifford.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/99829
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/99829

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Zeng, Haoyang, Ph.D. Massachusetts Institute of Technology. Whole genome regulatory variant evaluation for transcription factor binding. Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/99829