Study Sessions on Bioinformatics and Related Topics - Prof. Yukinori OKADA

[Alexis Vandenbon]

Dear All,

We are planning to have the sixth presentation in our series on bioinformatics as follows. 

Speaker: Dr. Yukinori Okada (Osaka University Graduate School of Medicine)
Title: "Genotype imputation"
Time: July 27th, from 10:00 AM
Place: Meeting Room 1 on the 2nd floor of the IFReC Building
Language: English
See also: http://sysimg.ifrec.osaka-u.ac.jp/bioinfo/ (abstract and title will soon be added)

Abstract:

Human genome variations, typically represented by genome-wide single nucleotide polymorphisms (SNPs), define human disease risks. “Genotype imputation” is a widely used approach in data analysis of human genetics. By applying genotype imputation to the ~500,000 genome-wide SNP genotype data obtained using SNP microarrays, one can computationally impute genotype data of the ~10,000,000 unobserved (i.e. ungenotyped) SNPs. Recently, genotype imputation was applied to the variations in the Human leukocyte antigen (HLA) genes, which is called “HLA imputation”. We have applied HLA imputation to the Japanese population, and identified that population-specific long HLA haplotypes characterize the HLA gene structures of the populations. We also reported that amino acid polymorphisms of the multiple classical HLA genes have risk of Graves’ disease, an autoimmune disease of thyroid.

Best,

Alex

[Alexis Vandenbon]

Dear All,

This is a reminder for tomorrow's talk by Prof. Okada. Everyone is welcome.

Speaker: Dr. Yukinori Okada (Osaka University Graduate School of Medicine)

Title: "Genotype imputation"

Time: July 27th, from 10:00 AM

Place: Meeting Room 1 on the 2nd floor of the IFReC Building

Language: English

See also: http://sysimg.ifrec.osaka-u.ac.jp/bioinfo/ 

Abstract:

Human genome variations, typically represented by genome-wide single nucleotide polymorphisms (SNPs), define human disease risks. “Genotype imputation” is a widely used approach in data analysis of human genetics. By applying genotype imputation to the ~500,000 genome-wide SNP genotype data obtained using SNP microarrays, one can computationally impute genotype data of the ~10,000,000 unobserved (i.e. ungenotyped) SNPs. Recently, genotype imputation was applied to the variations in the Human leukocyte antigen (HLA) genes, which is called “HLA imputation”. We have applied HLA imputation to the Japanese population, and identified that population-specific long HLA haplotypes characterize the HLA gene structures of the populations. We also reported that amino acid polymorphisms of the multiple classical HLA genes have risk of Graves’ disease, an autoimmune disease of thyroid.

Best,

Alex