| Estimating genetic nurture with summary statistics of multigenerational genome-wide association studies Y Wu, X Zhong, Y Lin, Z Zhao, J Chen, B Zheng, JJ Li, JM Fletcher, Q Lu Proceedings of the National Academy of Sciences 118 (25), e2023184118, 2021 | 29 | 2021 |
| PUMAS: fine-tuning polygenic risk scores with GWAS summary statistics Z Zhao, Y Yi, J Song, Y Wu, X Zhong, Y Lin, TJ Hohman, J Fletcher, Q Lu Genome biology 22, 1-19, 2021 | 24 | 2021 |
| The production of within-family inequality: Insights and implications of integrating genetic data JM Fletcher, Y Wu, Z Zhao, Q Lu BioRxiv, 2020.06. 06.137778, 2020 | 11 | 2020 |
| Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics J Miao, H Guo, G Song, Z Zhao, L Hou, Q Lu Nature Communications 14 (1), 832, 2023 | 5 | 2023 |
| Gamete simulation improves polygenic transmission disequilibrium analysis J Chen, J You, Z Zhao, Z Ni, K Huang, Y Wu, JM Fletcher, Q Lu bioRxiv, 2020.10. 26.355602, 2020 | 3 | 2020 |
| Polygenic risk scores: effect estimation and model optimization Z Zhao, J Song, T Wang, Q Lu Quantitative Biology 9 (2), 133-140, 2021 | 1 | 2021 |
| Detecting genetic heterogeneities in response to trauma: The case of 9/11 S Furuya, JM Fletcher, Z Zhao, Z Sun, Q Lu SSM-Mental Health 2, 100044, 2022 | | 2022 |
| Optimizing and benchmarking polygenic risk scores with GWAS summary statistics Z Zhao, T Gruenloh, Y Wu, Z Sun, J Miao, Y Wu, J Song, Q Lu bioRxiv, 2022.10. 26.513833, 2022 | | 2022 |
| model optimization Z Zhao, J Song, T Wang, Q Lu | | 2021 |
| Testing Gene-environment Interactions Without Measuring the Environment J Miao, Y Wu, K Huang, Z Zhao, Z Ni, Q Lu GENETIC EPIDEMIOLOGY 43 (7), 894-894, 2019 | | 2019 |
