| The socioeconomic gradient in epigenetic ageing clocks: evidence from the multi-ethnic study of atherosclerosis and the health and retirement study LL Schmitz, W Zhao, SM Ratliff, J Goodwin, J Miao, Q Lu, X Guo, ... Epigenetics 17 (6), 589-611, 2022 | 57 | 2022 |
| 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 | 22 | 2023 |
| The impact of late-career job loss and genetic risk on body mass index: Evidence from variance polygenic scores LL Schmitz, J Goodwin, J Miao, Q Lu, D Conley Scientific reports 11 (1), 7647, 2021 | 17 | 2021 |
| A quantile integral linear model to quantify genetic effects on phenotypic variability J Miao, Y Lin, Y Wu, B Zheng, LL Schmitz, JM Fletcher, Q Lu Proceedings of the National Academy of Sciences 119 (39), e2212959119, 2022 | 10 | 2022 |
| Assumption-lean and data-adaptive post-prediction inference J Miao, X Miao, Y Wu, J Zhao, Q Lu arXiv preprint arXiv:2311.14220, 2023 | 5 | 2023 |
| The Impact of Genomic Variation on Function (IGVF) Consortium IGVF Consortium ArXiv, 2023 | 5 | 2023 |
| Reimagining Gene-Environment Interaction Analysis for Human Complex Traits J Miao, G Song, Y Wu, J Hu, Y Wu, S Basu, JS Andrews, K Schaumberg, ... bioRxiv, 2022.12. 11.519973, 2022 | 3 | 2022 |
| Decomposing heritability and genetic covariance by direct and indirect effect paths J Song, Y Zou, Y Wu, J Miao, Z Yu, JM Fletcher, Q Lu PLoS Genetics 19 (1), e1010620, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| Statistical methods for gene–environment interaction analysis J Miao, Y Wu, Q Lu Wiley Interdisciplinary Reviews: Computational Statistics 16 (1), e1635, 2024 | 1 | 2024 |
| Pervasive biases in proxy GWAS based on parental history of Alzheimer’s disease Y Wu, Z Sun, Q Zheng, J Miao, S Dorn, S Mukherjee, JM Fletcher, Q Lu bioRxiv, 2023 | 1 | 2023 |
| Neurogenetic mechanisms of risk for ADHD: Examining associations of polygenic scores and brain volumes in a population cohort Q He, TJ Keding, Q Zhang, J Miao, JD Russell, RJ Herringa, Q Lu, ... Journal of Neurodevelopmental Disorders 15 (1), 30, 2023 | 1 | 2023 |
| Neuropathology‐based APOE genetic risk score better quantifies Alzheimer's risk Y Deming, E Vasiljevic, A Morrow, J Miao, C Van Hulle, E Jonaitis, Y Ma, ... Alzheimer's & Dementia 19 (8), 3406-3416, 2023 | 1 | 2023 |
| Controlling for polygenic genetic confounding in epidemiologic association studies Z Zhao, X Yang, J Miao, S Dorn, S Barcellos, J Fletcher, Q Lu bioRxiv, 2024.02. 12.579913, 2024 | | 2024 |
| Valid inference for machine learning-assisted GWAS J Miao, Y Wu, Z Sun, X Miao, T Lu, J Zhao, Q Lu medRxiv, 2024.01. 03.24300779, 2024 | | 2024 |
| Identifying Genetic Loci Associated with Complex Trait Variability J Miao, Q Lu Handbook of Statistical Bioinformatics, 257-270, 2022 | | 2022 |
Qiongshi LuUniversity of Wisconsin-MadisonVerified email at biostat.wisc.edu
