A Workflow for Selection of Single Nucleotide Polymorphic Markers for Studying of Genetics of Ischemic Stroke Outcomes.
Gennady KhvorykhAndrey KhruninAndrey V KhruninIvan B FilippenkovLyudmila DergunovaSvetlana LimborskaPublished in: Genes (2021)
In this paper we propose a workflow for studying the genetic architecture of ischemic stroke outcomes. It develops further the candidate gene approach. The workflow is based on the animal model of brain ischemia, comparative genomics, human genomic variations, and algorithms of selection of tagging single nucleotide polymorphisms (tagSNPs) in genes which expression was changed after ischemic stroke. The workflow starts from a set of rat genes that changed their expression in response to brain ischemia and results in a set of tagSNPs, which represent other SNPs in the human genes analyzed and influenced on their expression as well.
Keyphrases
- genome wide
- poor prognosis
- endothelial cells
- genome wide identification
- atrial fibrillation
- electronic health record
- copy number
- dna methylation
- machine learning
- resting state
- long non coding rna
- induced pluripotent stem cells
- multiple sclerosis
- cerebral ischemia
- functional connectivity
- brain injury
- adipose tissue
- insulin resistance
- weight loss