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BioProject ID : KAP220193

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Project title : Identification and validation of predictive markers of epilepsy susceptibility and therapeutic response by development of genome data analysis technology optimized to multifactorial diseases

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Submitter

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Name Kim Myeong-Kyu
Organization Chonnam National University Hospital
Department Department of Neurology

Date

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Registration Date 2022-04-12

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NTIS Number -
Project Title Identification and validation of predictive markers of epilepsy susceptibility and therapeutic response by development of genome data analysis technology optimized to multifactorial diseases
Relevance medical
Description "Key R&D Contents Year 1 ('16') First detail production of genomic information for epilepsy patients (Stage1 analysis) WES Noise-data Analysis R&D Content 1-1 Nationwide Multi-center Trial for Sampling (1) R&D Contents 1-2 Low-coverage Whole Exome Sequencing (1) R&D Content 2-1 WES Noise-data Analysis (in conjunction with the second detail) Second detail WES Noise-data Analyzer Interface Development Development of Statistical Analysis Method for Low-Coverage Genetic Data R&D Contents 2-2 WES Noise-data Analyzer Interface Development R&D Contents 2-3 Stage1 Genome-wide Association Study - Marker Selection for Stage2 Analysis (4-1 connection) R&D Content 3-1 Development of Statistical Analysis Method for Low-Coverage Genetic Data Year 2 ('17') First detail production of genomic information for epilepsy patients (Stage2 analysis) R&D Content 1-1 Nationwide Multi-center Trial for Sampling (2) R&D Contents 1-2 Low-coverage Whole Exome Sequencing (2) Target Sequencing (Selected Markers in Stage1) Second detail Development of statistical analysis methods and programs optimized for studies related to multi-factor diseases R&D Contents 2-3 2 Stage Joint Genome-wide Association Study R&D Content 3-2 1. Development of Multi-variant Association Test Statistics Considering Various Genetic Models 2. Develop user-friendly Multi-variant Association Test Program 3rd year ('18th year First detail Development of epilepsy sensitivity and therapeutic response predictors R&D Contents 1-2 Target Sequencing for Healthy Korean Genome R&D Contents 2-3 GWAS for Subset Analysis Second detail EEG sensitivity and treatment response prediction factor verification Verification of statistical analysis methods for studies related to multi-factor diseases R&D Content 4 Verification of the suitability of the statistical analysis method developed using Simulation research and actual data."
Project Data Type * Exome
Sample Scope * Multiisolate

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Sample Group

BioSample
Accession ID
Project Title
Sample Type
Registration Date
KASG220256 Identification and verification of anti-epileptic drug treatment effects and adverse reaction predictors through the development of genomic data analysis technology optimized for multifactorial diseases Human sample 2022-04-12
KASG220259 Identification and verification of anti-epileptic drug treatment effects and adverse reaction predictors through the development of genomic data analysis technology optimized for multifactorial diseases Human sample 2022-04-12
KASG220258 Identification and verification of anti-epileptic drug treatment effects and adverse reaction predictors through the development of genomic data analysis technology optimized for multifactorial diseases Human sample 2022-04-12

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