学术报告（Jin Liu 助理教授 4.3）
学术报告（Jin Liu助理教授 4.3）
题 目： A Summary-Statistics-based Random Effect Model to Estimating heritability, co-heritability and effect sizes in GWAS data analysis
报告人： Jin Liu（Assistant Professor，Duke-NUS Medical School）
时 间：2017年4月3日 下午：10:30——11：30
讲座简介：Most existing methods for GWAS data analysis require individual-level genotype data as their input. However, it is often not easy to get access to individual-level data, due to many practical issues, such as privacy protection and disagreement on data-sharing among multiple research groups. In this talk, we introduce SSREM, a Summary-Statistics-based approach to estimating heritability, co-heritability and effect sizes in GWAS data analysis. This is achieved by Bayesian analysis with the standard random-effect prior and a summary-statistics-based likelihood function. We have implemented a parallel Gibbs sampling strategy, which allows us to handle genome-wide-scale datasets. Our analysis results suggest that summary-statistics-based analysis can achieve comparable performance to individual-level data analysis.