GenoWAP: GWAS signal prioritization through integrated analysis of genomic functional annotation. - Qiongshi Lu; Xinwei Yao 002; Yiming Hu; Hongyu Zhao 003 (Bioinform., 2016)

Leveraging functional annotations in genetic risk prediction for human complex diseases. - Yiming Hu; Qiongshi Lu; Ryan Powles; Xinwei Yao 002; Can Yang 002; Fang Fang; Xinran Xu; Hongyu Zhao 003 (PLoS Comput. Biol., 2017)

An evaluation of noncoding genome annotation tools through enrichment analysis of 15 genome-wide association studies. - Boyang Li 011; Qiongshi Lu; Hongyu Zhao 003 (Briefings Bioinform., 2019)

Leveraging functional annotation to identify genes associated with complex diseases. - Wei Liu; Mo Li; Wenfeng Zhang; Geyu Zhou; Xing Wu; Jiawei Wang; Qiongshi Lu; Hongyu Zhao 003 (PLoS Comput. Biol., 2020)

Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics. - Yiliang Zhang; Youshu Cheng; Wei Jiang 019; Yixuan Ye; Qiongshi Lu; Hongyu Zhao 003 (Briefings Bioinform., 2021)

Special issue on genome wide association study. - Lin Hou; Qiongshi Lu; Can Yang 002; Hongyu Zhao 003 (Quant. Biol., 2021)

Integrative modeling of transmitted and de novo variants identifies novel risk genes for congenital heart disease. - Mo Li; Xue Zeng; Chentian Jin; Sheng Chih Jin; Weilai Dong; Martina Brueckner; Richard Lifton; Qiongshi Lu; Hongyu Zhao 003 (Quant. Biol., 2021)

Polygenic risk scores: effect estimation and model optimization. - Zijie Zhao; Jie Song; Tuo Wang; Qiongshi Lu (Quant. Biol., 2021)

Assumption-lean and Data-adaptive Post-Prediction Inference. - Jiacheng Miao; Xinran Miao; Yixuan Wu; Jiwei Zhao; Qiongshi Lu (CoRR, 2023)

Task-Agnostic Machine-Learning-Assisted Inference. - Jiacheng Miao; Qiongshi Lu (NeurIPS, 2024)