| Efficient polygenic risk scores for biobank scale data by exploiting phenotypes from inferred relatives B Truong, X Zhou, J Shin, J Li, JHJ Van Der Werf, TD Le, SH Lee Nature communications 11 (1), 3074, 2020 | 29 | 2020 |
| GxEsum: a novel approach to estimate the phenotypic variance explained by genome-wide GxE interaction based on GWAS summary statistics for biobank-scale data J Shin, SH Lee Genome biology 22 (1), 183, 2021 | 23 | 2021 |
| A method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data MM Momin, J Shin, S Lee, B Truong, B Benyamin, SH Lee Nature communications 14 (1), 722, 2023 | 11 | 2023 |
| GxEsum: genotype-by-environment interaction model based on summary statistics J Shin, SH Lee BioRxiv, 2020 | 10 | 2020 |
| Lifestyle modifies the diabetes-related metabolic risk, conditional on individual genetic differences J Shin, X Zhou, JTM Tan, E Hyppönen, B Benyamin, SH Lee Frontiers in Genetics 13, 759309, 2022 | 6 | 2022 |
| Considering hormone-sensitive cancers as a single disease in the UK biobank reveals shared aetiology M Ahmed, VP Mäkinen, A Mulugeta, J Shin, T Boyle, E Hyppönen, SH Lee Communications Biology 5 (1), 614, 2022 | 5 | 2022 |
| A novel method for an unbiased estimate of cross-ancestry genetic correlation using individual-level data MM Momin, J Shin, S Lee, B Truong, B Benyamin, SH Lee bioRxiv, 2021.09. 16.460619, 2021 | 3 | 2021 |
| Heritability And Genetic Correlations For Hormone-Sensitive Cancers In The UK Biobank: A Molecular Evidence of Shared Aetiology M Ahmed, VP Mäkinen, A Mulugeta, J Shin, T Boyle, E Hypponen, SH Lee | | 2021 |
