| Interactions between enhanced polygenic risk scores and lifestyle for cardiovascular disease, diabetes, and lipid levels Y Ye, X Chen, J Han, W Jiang, P Natarajan, H Zhao Circulation: Genomic and Precision Medicine 14 (1), e003128, 2021 | 92 | 2021 |
| Identifying potential cancer driver genes by genomic data integration Y Chen, J Hao, W Jiang, T He, X Zhang, T Jiang, R Jiang Scientific reports 3 (1), 3538, 2013 | 64 | 2013 |
| Comparison of methods for estimating genetic correlation between complex traits using GWAS summary statistics Y Zhang, Y Cheng, W Jiang, Y Ye, Q Lu, H Zhao Briefings in bioinformatics 22 (5), bbaa442, 2021 | 55 | 2021 |
| Leveraging effect size distributions to improve polygenic risk scores derived from summary statistics of genome-wide association studies S Song, W Jiang, L Hou, H Zhao PLoS computational biology 16 (2), e1007565, 2020 | 48 | 2020 |
| A set of efficient methods to generate high-dimensional binary data with specified correlation structures W Jiang, S Song, L Hou, H Zhao American Statistician, 2020 | 38 | 2020 |
| Power estimation and sample size determination for replication studies of genome-wide association studies W Jiang, W Yu BMC genomics 17, 19-32, 2016 | 23 | 2016 |
| Leveraging LD eigenvalue regression to improve the estimation of SNP heritability and confounding inflation S Song, W Jiang, Y Zhang, L Hou, H Zhao The American Journal of Human Genetics 109 (5), 802-811, 2022 | 21 | 2022 |
| Xolik: finding cross-linked peptides with maximum paired scores in linear time J Dai, W Jiang, F Yu, W Yu Bioinformatics 35 (2), 251-257, 2019 | 19 | 2019 |
| Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies W Jiang, W Yu Bioinformatics 33 (4), 500-507, 2017 | 17 | 2017 |
| PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies G Yang, W Jiang, Q Yang, W Yu Bioinformatics 31 (9), 1460-1462, 2015 | 14 | 2015 |
| A network approach to exploring the functional basis of gene–gene epistatic interactions in disease susceptibility DKS Yip, LL Chan, IK Pang, W Jiang, NLS Tang, W Yu, KY Yip Bioinformatics 34 (10), 1741-1749, 2018 | 13 | 2018 |
| Region-based interaction detection in genome-wide case-control studies S Zhang, W Jiang, RCW Ma, W Yu BMC Medical Genomics 12, 1-8, 2019 | 10 | 2019 |
| Tuning parameters for polygenic risk score methods using GWAS summary statistics from training data W Jiang, L Chen, MJ Girgenti, H Zhao Nature Communications 15 (1), 24, 2024 | 8 | 2024 |
| An unbiased kinship estimation method for genetic data analysis W Jiang, X Zhang, S Li, S Song, H Zhao BMC bioinformatics 23 (1), 525, 2022 | 8 | 2022 |
| Integrative Analyses for the Identification of Idiopathic Pulmonary Fibrosis Associated Genes and Shared Loci with Other Diseases M Chen, Y Zhang, T Adams, D Ji, W Jiang, LV Wain, M Cho, N Kaminski, ... Thorax, 2022 | 7 | 2022 |
| A novel transcriptional risk score for risk prediction of complex human diseases N Shan, Y Xie, S Song, W Jiang, Z Wang, L Hou Genetic epidemiology 45 (8), 811-820, 2021 | 7 | 2021 |
| M-DATA: A statistical approach to jointly analyzing de novo mutations for multiple traits Y Xie, M Li, W Dong, W Jiang, H Zhao PLoS Genetics 17 (11), e1009849, 2021 | 7 | 2021 |
| Network assisted analysis of de novo variants using protein-protein interaction information identified 46 candidate genes for congenital heart disease Y Xie, W Jiang, W Dong, H Li, SC Jin, M Brueckner, H Zhao PLoS genetics 18 (6), e1010252, 2022 | 6 | 2022 |
| What is the probability of replicating a statistically significant association in genome-wide association studies? W Jiang, JH Xue, W Yu Briefings in bioinformatics 18 (6), 928-939, 2017 | 6 | 2017 |
| Prioritize Candidate Causal Haplotype Blocks in Plant Genome-Wide Association Studies X Wu, W Jiang, C Fragoso, J Huang, G Zhou, H Zhao PLoS Genetics, 2022 | 5 | 2022 |
