| Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease W Zhou, M Kanai, KHH Wu, H Rasheed, K Tsuo, JB Hirbo, Y Wang, ... Cell Genomics 2 (10), 2022 | 236 | 2022 |
| Meta-analysis fine-mapping is often miscalibrated at single-variant resolution M Kanai, R Elzur, W Zhou, KHH Wu, H Rasheed, K Tsuo, JB Hirbo, ... Cell genomics 2 (12), 2022 | 57 | 2022 |
| Genome-wide study on 72,298 individuals in Korean biobank data for 76 traits K Nam, J Kim, S Lee Cell Genomics 2 (10), 2022 | 26 | 2022 |
| Real-time mask detection on google edge TPU K Park, W Jang, W Lee, K Nam, K Seong, K Chai, WS Li arXiv preprint arXiv:2010.04427, 2020 | 19 | 2020 |
| Boosting the power of genome-wide association studies within and across ancestries by using polygenic scores AI Campos, S Namba, SC Lin, K Nam, J Sidorenko, H Wang, Y Kamatani, ... Nature Genetics 55 (10), 1769-1776, 2023 | 12 | 2023 |
| Investigation of genetic variants and causal biomarkers associated with brain aging J Kim, J Lee, K Nam, S Lee Scientific Reports 13 (1), 1526, 2023 | 5 | 2023 |
| Incorporating family disease history and controlling case–control imbalance for population-based genetic association studies Y Zhuang, BN Wolford, K Nam, W Bi, W Zhou, CJ Willer, B Mukherjee, ... Bioinformatics 38 (18), 4337-4343, 2022 | 3 | 2022 |
| Uncovering associations between pre-existing conditions and COVID-19 Severity: A polygenic risk score approach across three large biobanks LG Fritsche, K Nam, J Du, R Kundu, M Salvatore, X Shi, S Lee, S Burgess, ... PLoS genetics 19 (12), e1010907, 2023 | 1 | 2023 |
| Meta-SAIGE: Scalable and Accurate Meta-Analysis for Rare Variants E Park, K Nam, S Jeong, K Keat, D Kim, V Bansal, W Zhou, S Lee medRxiv, 2024.09. 17.24313855, 2024 | | 2024 |
| Rare variant effect estimation and polygenic risk prediction K Nam, M Kho, W Zhou, B Mukherjee, S Lee medRxiv, 2024.06. 23.24309366, 2024 | | 2024 |
| 스타일 동조화 경향에 따른 모멘텀 효과 남기성 한국과학기술원, 2014 | | 2014 |
