While existing SNP microarray chips are designed for Western, The Korea Biobank Array is optimized for research on Koreans as it includes specific disease risk factors that appear in Koreans. Based on Theragen Bio's expertise, The Korea Biobank Array Version 2.0 is currently under development.
GWAS (Genome-wide association study) analysis is a research method that aims to find SNP (single nucleotide polymorphism) that are associated with a target phenotype of interest across the entire genome. This research method is based on the "Common disease, Common variant" hypothesis and aims to comprehensively explore genetic factors for diseases and drug responses. For complex diseases such as diabetes and hypertension, which are influenced by multiple genetic and environmental factors, the association between phenotype-genotype (Target phenotype - Genotype) can be identified through common variants with a frequency of 1-5% or more. Theragen Bio provides the best-customized analysis service through extensive experience and expertise in large-scale GWAS analysis, based on various Korean chip projects and public data distribution.
Setting | PLINK | Genotype(SNP) | Target Phenotype | Covariant | ||
---|---|---|---|---|---|---|
QC of Genotype Data | Missingness of SNPs and individuals | Sex diecrepancy | Minor Allele Frequency(MAF) | Hardy Weinberg Equilibrium(HWE) | Relatedness | Population stratification |
Analysis | Logistic Regression (Dichotomous trait) | Linear Regression (Continuous trait) | ||||
Result | Criteria of significant p-value | Odds ratio | Beta | QQ plot | Manhattan plot | Signal plot |
The Theragen PMRA chip is a microarray chip composed of over 820,000 highly reliable SNPs based on Thermo Fisher Scientific's Asian PMRA chip, which includes approximately 750,000 SNPs. The Theragen PMRA chip can identify risk factors for common or rare diseases that are prevalent in Asians. Additionally, 50,000 customized SNPs selected over 10 years of Theragen Bio's genetic analysis service expertise have been added to optimize precision medicine, clinical trials, cohort studies, and other research on Koreans. Based on Theragen Bio's expertise, the development of Theragen PMRA chip Version 2.0 is currently underway, and it is expected to be released in the first half of 2022.
GWAS (Genome-wide association study) analysis is a research method that aims to find SNP (single nucleotide polymorphism) that are associated with a target phenotype of interest across the entire genome. This research method is based on the "Common disease, Common variant" hypothesis and aims to comprehensively explore genetic factors for diseases and drug responses. For complex diseases such as diabetes and hypertension, which are influenced by multiple genetic and environmental factors, the association between phenotype-genotype (Target phenotype - Genotype) can be identified through common variants with a frequency of 1-5% or more. Theragen Bio provides the best-customized analysis service through extensive experience and expertise in large-scale GWAS analysis, based on various Korean chip projects and public data distribution.
Setting | PLINK | Genotype(SNP) | Target Phenotype | Covariant | ||
---|---|---|---|---|---|---|
QC of Genotype Data | Missingness of SNPs and individuals | Sex diecrepancy | Minor Allele Frequency(MAF) | Hardy Weinberg Equilibrium(HWE) | Relatedness | Population stratification |
Analysis | Logistic Regression (Dichotomous trait) | Linear Regression (Continuous trait) | ||||
Result | Criteria of significant p-value | Odds ratio | Beta | QQ plot | Manhattan plot | Signal plot |
GWAS (Genome-wide association study) analysis is a research method that aims to find SNP (single nucleotide polymorphism) that are associated with a target phenotype of interest across the entire genome. This research method is based on the "Common disease, Common variant" hypothesis and aims to comprehensively explore genetic factors for diseases and drug responses. Theragen Bio provides the best-customized analysis service through extensive experience and expertise in large-scale GWAS analysis, based on various Korean chip projects and public data distribution.
Scanning equipment | Gene Titan |
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TAT | The turnaround time for the analysis is around 3 weeks, based on a unit of 96 samples. |
Detailed Services | K-chip, T-PMRA, PMRA |
Sample Requirement | 1ug (25ng/ul), volume 10u) |
Standard Analysis | Advanced Analysis | |
Spatial Sequencing | Expression data set Differential expression genes (DEGs) Statistical test Survival curve GO analysis Pathway Gene set enrichment analysis (GSEA) |