| Constrained maximum likelihood-based Mendelian randomization robust to both correlated and uncorrelated pleiotropic effects H Xue, X Shen, W Pan The American Journal of Human Genetics 108 (7), 1251-1269, 2021 | 110 | 2021 |
| Inferring causal direction between two traits in the presence of horizontal pleiotropy with GWAS summary data H Xue, W Pan PLoS genetics 16 (11), e1009105, 2020 | 21 | 2020 |
| Some statistical consideration in transcriptome‐wide association studies H Xue, W Pan, Alzheimer's Disease Neuroimaging Initiative Genetic epidemiology 44 (3), 221-232, 2020 | 18 | 2020 |
| Robust multivariable Mendelian randomization based on constrained maximum likelihood Z Lin, H Xue, W Pan The American Journal of Human Genetics 110 (4), 592-605, 2023 | 16 | 2023 |
| Causal inference in transcriptome-wide association studies with invalid instruments and GWAS summary data H Xue, X Shen, W Pan Journal of the American Statistical Association 118 (543), 1525-1537, 2023 | 10 | 2023 |
| Accounting for nonlinear effects of gene expression identifies additional associated genes in transcriptome-wide association studies Z Lin, H Xue, MM Malakhov, KA Knutson, W Pan Human molecular genetics 31 (14), 2462-2470, 2022 | 6 | 2022 |
| Robust inference of bi-directional causal relationships in presence of correlated pleiotropy with GWAS summary data H Xue, W Pan PLoS genetics 18 (5), e1010205, 2022 | 6 | 2022 |
| Statistical power of transcriptome‐wide association studies R He, H Xue, W Pan, Alzheimer's Disease Neuroimaging Initiative Genetic epidemiology 46 (8), 572-588, 2022 | 5 | 2022 |
| MendelianRandomization v0. 9.0: updates to an R package for performing Mendelian randomization analyses using summarized data A Patel, T Ye, H Xue, Z Lin, S Xu, B Woolf, AM Mason, S Burgess Wellcome Open Research 8, 2023 | 4 | 2023 |
| Combining Mendelian randomization and network deconvolution for inference of causal networks with GWAS summary data Z Lin, H Xue, W Pan PLoS genetics 19 (5), e1010762, 2023 | 3 | 2023 |
| Deep learning-based feature extraction with MRI data in neuroimaging genetics for Alzheimer’s disease D Chakraborty, Z Zhuang, H Xue, MB Fiecas, X Shen, W Pan Genes 14 (3), 626, 2023 | 2 | 2023 |
| Leveraging existing GWAS summary data of genetically correlated and uncorrelated traits to improve power for a new GWAS H Xue, C Wu, W Pan Genetic epidemiology 44 (7), 717-732, 2020 | 2 | 2020 |
| Inference of nonlinear causal effects with GWAS summary data B Dai, C Li, H Xue, W Pan, X Shen arXiv preprint arXiv:2209.08889, 2022 | 1 | 2022 |
| Collider bias correction for multiple covariates in GWAS using robust multivariable Mendelian randomization P Wang, Z Lin, H Xue, W Pan PLoS genetics 20 (4), e1011246, 2024 | | 2024 |
| Inference of nonlinear causal effects with application to TWAS with GWAS summary data B Dai, C Li, H Xue, W Pan, X Shen Causal Learning and Reasoning, 793-826, 2024 | | 2024 |
| Genetic correlation and causal associations between circulating C-reactive protein levels and lung cancer risk J Shi, W Wen, J Long, H Xue, Y Yang, R Tao, W Pan, XO Shu, Q Cai Cancer Causes & Control, 1-10, 2024 | | 2024 |
| MendelianRandomization v0. 9.0: updates to an R package for performing Mendelian randomization analyses using summarized data [version 2; peer review: 2 approved] A Patel, T Ye, H Xue, Z Lin, S Xu, B Woolf, AM Mason, S Burgess | | 2023 |
| Inference of Causal Networks Using Bi-directional Mendelian Randomization and Network Deconvolution with GWAS Summary Data Z Lin, H Xue, W Pan GENETIC EPIDEMIOLOGY 46 (7), 511-511, 2022 | | 2022 |
| Impact of fetal expression quantitative trait loci on transcriptome-wide association study of childhood leukemia T Yang, LJ Mills, H Xue, A Raduski, LA Williams, LG Spector Human molecular genetics 31 (19), 3207-3215, 2022 | | 2022 |
| Deep Learning-based Feature Extraction in Neuroimaging Genetics for Alzheimer's Disease D Chakraborty, Z Zhuang, H Xue, W Pan GENETIC EPIDEMIOLOGY 45 (7), 747-747, 2021 | | 2021 |
