| 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 | 227 | 2021 |
| 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 | 38 | 2023 |
| 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 | 36 | 2023 |
| 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 | 31 | 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 | 23 | 2020 |
| 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 | 20 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 10 | 2022 |
| 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 | 8 | 2023 |
| Use of SAMe-TT2R2 in a racially diverse anticoagulation clinic: prediction of optimal anticoagulation K Wang, Y Lu, MA Simegn, H Xue, RW Asinger Journal of Thrombosis and Thrombolysis 55 (1), 175-180, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| 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 | 3 | 2020 |
| Inferring causal direction between two traits using R2 with application to transcriptome-wide association studies H Liao, H Xue, W Pan The American Journal of Human Genetics 111 (8), 1782-1795, 2024 | 1 | 2024 |
| 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 | 1 | 2024 |
| Multivariate proteome-wide association study to identify causal proteins for Alzheimer disease L Fang, H Xue, Z Lin, W Pan The American Journal of Human Genetics 112 (2), 291-300, 2025 | | 2025 |
| Identification of proteins associated with type 2 diabetes risk in diverse racial and ethnic populations S Liu, J Zhu, H Zhong, C Wu, H Xue, BF Darst, X Guo, P Durda, RP Tracy, ... Diabetologia 67 (12), 2754-2770, 2024 | | 2024 |
| Univariate and Mmultivariate Proteome-wide Association Studies to Identify Causal Proteins for Alzheimer's Disease in the Presence of Invalid Instruments with GWAS Summary Data L Fang, H Xue, Z Lin, W Pan GENETIC EPIDEMIOLOGY 48 (7), 353-354, 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 |