About Us
The FirstKSGAR Consortium was started in March, 2015, when Jin Pyeong Jeon started the Neurosurgery staff in Chuncheon city.
Our datasets will have a diversity impact to estimate individual risk reflecting personal characteristics based on genetic and
non-genetic elements. In addition, the datasets will offer new insight into the stroke pathogenesis in Korean stroke patients.
Further, we are conducting in-depth research on the stroke genetic study using national biobank data (Korean Genome and
Epidemiology Study [KoGES]) and overseas genome public data such as UK Biobank. Our members are experts in different fields
including clinical neurosurgery, neurology, basic neuroscience, population genetics, genomic epidemiology, and
bioinformatics/biostatistics. The project has been supported by the National Research Fund, Hallym University Medical Center,
Chuncheon City Hall, and Gangwon Provincial Government. In particular, we would like to thank the patients and their careers, and
Professor Sungmin Cho for their personal contributions to these research projects.
- On 25th Feb 2019, the first genome-wide association study (GWAS) of intracranial aneurysm (IA) was published in the
Journal of Clinical Medicine (PMID: 30823506). The consortium aimed to arrive at the national and international consensus
regarding priorities for future research into the genomic landscape of brain aneurysm after various outcomes such as
subarachnoid haemorrhage (SAH). These are summarized below:
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- Prospective genetic/genome-wide association studies,
meta-analysis, and sequencing-based direct association
study (i.e., whole-genome/exome/transcriptome sequencing).
To study the association between clinical outcome in various
stroke types and variation in novel or known susceptibility loci
- Prospective genetic/genome-wide association studies,
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- Development of robust tools to measure clinical outcomes in
cerebrovascular diseases (CVDs), with an emphasis on how to
capture cognitive impairment in the majority of patients
- Development of robust tools to measure clinical outcomes in
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- Disease risk prediction and prevention of vascular diseases in
brain through the integrative multi-omics approaches and
modules.
- Disease risk prediction and prevention of vascular diseases in
This Consortium contributes to human public health by providing insights into the genetic and non-genetic foundations of stroke
and vascular-related modifications as well as other complex traits.. We are developing a genetic susceptibility predicting the
development of the rate of vascular dysfunction in stroke, and subsequently constructing a best-fitting multifactorial polygenic and
non-genetic model that indicates individual characteristics of vascular modification in stroke.