6 citations · 13 across the 6 of their papers we have counts for
5 papers · 1 filter
High-dimensional statistical inference for linkage disequilibrium score regression and its cross-ancestry extensions
Fei Xue, Bingxin Zhao
Linkage disequilibrium score regression (LDSC) has emerged as an essential tool for genetic and genomic analyses of complex traits, utilizing high-dimensional data derived from gen…
Estimating trans-ancestry genetic correlation with unbalanced data resources
Bingxin Zhao, Xiaochen Yang, Hongtu Zhu
The aim of this paper is to propose a novel estimation method of using genetic-predicted observations to estimate trans-ancestry genetic correlations, which describes how genetic a…
On block-wise and reference panel-based estimators for genetic data prediction in high dimensions
Bingxin Zhao, Shurong Zheng, Hongtu Zhu
Genetic prediction of complex traits and diseases has attracted enormous attention in precision medicine, mainly because it has the potential to translate discoveries from genome-w…
Cross-trait prediction accuracy of high-dimensional ridge-type estimators in genome-wide association studies
Bingxin Zhao, Hongtu Zhu
Marginal association summary statistics have attracted great attention in statistical genetics, mainly because the primary results of most genome-wide association studies (GWAS) ar…
On genetic correlation estimation with summary statistics from genome-wide association studies
Bingxin Zhao, Hongtu Zhu
Genome-wide association studies (GWAS) have been widely used to examine the association between single nucleotide polymorphisms (SNPs) and complex traits, where both the sample siz…