Applying In Silico Integrative Genomics to Genetic Studies of Human Disease

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

As genome-wide association studies using common single nucleotide polymorphism microarrays transition to whole-genome sequencing and the study of rare variants, new approaches will be required to viably interpret the results given the surge in data. A common strategy is to focus on biological hypotheses derived from sources of functional evidence ranging from the nucleotide to the biochemical process level. The accelerated development of biotechnology has led to numerous sources of functional evidence in the form of public databases and tools. Here, we review current methods and tools for integrating genomic data, particularly from the public domain, into genetic studies of human disease.

Original languageEnglish
Title of host publicationInternational Review of Neurobiology
PublisherAcademic Press Inc.
Pages133-156
Number of pages24
DOIs
StatePublished - 2012

Publication series

NameInternational Review of Neurobiology
Volume103
ISSN (Print)0074-7742

Keywords

  • Bioinformatics
  • Genome-wide association study
  • Integrative genomics
  • Nicotine dependence
  • Psychiatric genetics
  • Software
  • Whole-genome sequencing

Fingerprint

Dive into the research topics of 'Applying In Silico Integrative Genomics to Genetic Studies of Human Disease'. Together they form a unique fingerprint.

Cite this