INTERNATIONAL JOURNAL OF ENGINEERING, SCIENCE AND - Volume 7, Issue 4 (3) , April 2018 (Special Issue FBSA)

Pages: 80-83
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Identifying causal genes for Amyotrophic Lateral Sclerosis (ALS) by Meta Analysis of Gene Expression Data

Author: Uttiyo Silroy? Ankur Bhowal??

Category: Engineering, Science and Mathematics

Abstract:

Amyotrophic lateral sclerosis (ALS) is an idiopathic, fatal neurodegenerative disease characterized by progressive muscular paralysis reflecting degeneration of upper andlowers motor neurones in the primary motor cortex, corticospinal tracts, brainstemand spinal cord. Analysing multiple microarray data from multiple studies available in public database such as GEO (Gene Expression Omnibus) database is more effective and will give hint to more detailed gene-gene interaction patterns that is particularly more helpful in Identifying novel genes as disease biomarker or identifying regulatory pathways for further in depth functional study. Present study attemps to identify genes associated with ALS by meta analysis of published gene expression data.

Keywords: Amyotrophic lateral sclerosis; Meta analysis; Gene Expression Omnibus; GEO2R; STRING.