Publications

S Song, X Li, H Zhou, Z Li, X Lin (2026). Scalable and accurate rare variant association tests for whole genome sequencing time-to-event analysis in large biobanks. Proceedings of the National Academy of Sciences (PNAS).

S Song, S Benonisdottir, JS Liu, A Kong (2025). Participation bias in the estimation of heritability and genetic correlation. Proceedings of the National Academy of Sciences (PNAS).

S Song, L Wang, L Hou, JS Liu (2024). Partitioning and aggregating cross-tissue and tissue-specific genetic effects to identify gene-trait associations. Nature Communications.

S Song, W Jiang, Y Zhang, L Hou, H Zhao (2022). Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation. The American Journal of Human Genetics.

S Song, L Hou, JS Liu (2022). A data-adaptive Bayesian regression approach for polygenic risk prediction. Bioinformatics.

S Song, N Shan, G Wang, X Yan, JS Liu, L Hou (2021). Openness weighted association studies: leveraging personal genome information to prioritize non-coding variants. Bioinformatics.

S Song, W Jiang, L Hou, H Zhao (2020). Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies. PLOS Computational Biology.

S Song, H Sun, JS Liu, L Hou (2022). Multi-Cell-Type Openness-Weighted Association Studies for Trait-Associated Genomic Segments Prioritization. Genes.

W Jiang, S Song (co-first), L Hou, H Zhao (2021). A set of efficient methods to generate high-dimensional binary data with specified correlation structures. The American Statistician.

X Yang, S Song (co-first), H Zhang (2021). Law of the Iterated Logarithm and Model Selection Consistency for Independent and Dependent GLMs. Frontiers of Mathematics in China.