| SUPERGNOVA: local genetic correlation analysis reveals heterogeneous etiologic sharing of complex traits Y Zhang, Q Lu, Y Ye, K Huang, W Liu, Y Wu, X Zhong, B Li, Z Yu, ... Genome biology 22, 1-30, 2021 | 109* | 2021 |
| Cerebrospinal fluid metabolomics identifies 19 brain-related phenotype associations DJ Panyard, KM Kim, BF Darst, YK Deming, X Zhong, Y Wu, H Kang, ... Communications biology 4 (1), 63, 2021 | 50 | 2021 |
| 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 | 44 | 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 | 38 | 2021 |
| Carrier capture delay and modulation bandwidth in an edge-emitting quantum dot laser LV Asryan, Y Wu, RA Suris Applied Physics Letters 98 (13), 2011 | 23 | 2011 |
| Interpreting polygenic score effects in sibling analysis J Fletcher, Y Wu, T Li, Q Lu Plos one 19 (2), e0282212, 2024 | 21 | 2024 |
| The production of within-family inequality: Insights and implications of integrating genetic data JM Fletcher, Y Wu, Z Zhao, Q Lu PNAS nexus 2 (4), pgad121, 2023 | 19 | 2023 |
| 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 | 17 | 2022 |
| Transcriptome-wide transmission disequilibrium analysis identifies novel risk genes for autism spectrum disorder K Huang, Y Wu, J Shin, Y Zheng, AF Siahpirani, Y Lin, Z Ni, J Chen, J You, ... PLoS genetics 17 (2), e1009309, 2021 | 15 | 2021 |
| Direct and indirect capture of carriers into the lasing ground state and the light-current characteristic of quantum dot lasers Y Wu, LV Asryan Journal of Applied Physics 115 (10), 2014 | 15 | 2014 |
| GWAS on birth year infant mortality rates provides evidence of recent natural selection Y Wu, S Furuya, Z Wang, JE Nobles, JM Fletcher, Q Lu Proceedings of the National Academy of Sciences 119 (12), e2117312119, 2022 | 14 | 2022 |
| Computational genomics in the era of precision medicine: applications to variant analysis and gene therapy YC Wang, Y Wu, J Choi, G Allington, S Zhao, M Khanfar, K Yang, PY Fu, ... Journal of Personalized Medicine 12 (2), 175, 2022 | 14 | 2022 |
| Effect of excited states on the ground-state modulation bandwidth in quantum dot lasers Y Wu, RA Suris, LV Asryan Applied Physics Letters 102 (19), 2013 | 13 | 2013 |
| Output power of a quantum dot laser: Effects of excited states Y Wu, L Jiang, LV Asryan Journal of Applied Physics 118 (18), 2015 | 7 | 2015 |
| 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 | 6 | 2022 |
| Effect of internal optical loss on the modulation bandwidth of a quantum dot laser Y Wu, RA Suris, LV Asryan Applied Physics Letters 100 (13), 2012 | 5 | 2012 |
| 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 | 4 | 2023 |
| POLYGENIC SCREENING What's the use? JM Fletcher, Y Wu, Q Lu Elife 10, 2021 | 4* | 2021 |
| 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 | 4 | 2020 |
| 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 | 3 | 2022 |
Qiongshi LuUniversity of Wisconsin-Madison在 biostat.wisc.edu 的电子邮件经过验证
