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Seunggeun (Shawn) Lee
Seunggeun (Shawn) Lee
Professor of Data Science, Seoul National University
在 snu.ac.kr 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Rare-variant association testing for sequencing data with the sequence kernel association test
MC Wu, S Lee, T Cai, Y Li, M Boehnke, X Lin
The American Journal of Human Genetics 89 (1), 82-93, 2011
27332011
Rare-variant association analysis: study designs and statistical tests
S Lee, GR Abecasis, M Boehnke, X Lin
The American Journal of Human Genetics 95 (1), 5-23, 2014
11772014
Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies
W Zhou, JB Nielsen, LG Fritsche, R Dey, ME Gabrielsen, BN Wolford, ...
Nature genetics 50 (9), 1335-1341, 2018
11542018
Optimal unified approach for rare-variant association testing with application to small-sample case-control whole-exome sequencing studies
S Lee, MJ Emond, MJ Bamshad, KC Barnes, MJ Rieder, DA Nickerson, ...
The American Journal of Human Genetics 91 (2), 224-237, 2012
11082012
Optimal tests for rare variant effects in sequencing association studies
S Lee, MC Wu, X Lin
Biostatistics 13 (4), 762-775, 2012
7872012
Biobank-driven genomic discovery yields new insight into atrial fibrillation biology
JB Nielsen, RB Thorolfsdottir, LG Fritsche, W Zhou, MW Skov, SE Graham, ...
Nature genetics 50 (9), 1234-1239, 2018
6732018
Sequence kernel association tests for the combined effect of rare and common variants
I Ionita-Laza, S Lee, V Makarov, JD Buxbaum, X Lin
The American Journal of Human Genetics 92 (6), 841-853, 2013
5062013
Genomewide association for schizophrenia in the CATIE study: results of stage 1
PF Sullivan, D Lin, JY Tzeng, E van den Oord, D Perkins, TS Stroup, ...
Molecular psychiatry 13 (6), 570-584, 2008
4752008
Genome-wide association and linkage identify modifier loci of lung disease severity in cystic fibrosis at 11p13 and 20q13. 2
FA Wright, LJ Strug, VK Doshi, CW Commander, SM Blackman, L Sun, ...
Nature genetics 43 (6), 539-546, 2011
2882011
General framework for meta-analysis of rare variants in sequencing association studies
S Lee, TM Teslovich, M Boehnke, X Lin
The American Journal of Human Genetics 93 (1), 42-53, 2013
2612013
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
2422022
Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts
W Zhou, Z Zhao, JB Nielsen, LG Fritsche, J LeFaive, SA Gagliano Taliun, ...
Nature genetics 52 (6), 634-639, 2020
1882020
Exploring and visualizing large-scale genetic associations by using PheWeb
SA Gagliano Taliun, P VandeHaar, AP Boughton, RP Welch, D Taliun, ...
Nature genetics 52 (6), 550-552, 2020
1702020
Detecting rare variant effects using extreme phenotype sampling in sequencing association studies
IJ Barnett, S Lee, X Lin
Genetic epidemiology 37 (2), 142-151, 2013
1622013
A fast and accurate algorithm to test for binary phenotypes and its application to PheWAS
R Dey, EM Schmidt, GR Abecasis, S Lee
The American Journal of Human Genetics 101 (1), 37-49, 2017
1592017
Chronic gastrointestinal symptoms and quality of life in the Korean population
JJ Jeong, MG Choi, YS Cho, SG Lee, JH Oh, JM Park, YK Cho, IS Lee, ...
World journal of gastroenterology: WJG 14 (41), 6388, 2008
1472008
Efficient variant set mixed model association tests for continuous and binary traits in large-scale whole-genome sequencing studies
H Chen, JE Huffman, JA Brody, C Wang, S Lee, Z Li, SM Gogarten, ...
The American Journal of Human Genetics 104 (2), 260-274, 2019
1282019
Test for interactions between a genetic marker set and environment in generalized linear models
X Lin, S Lee, DC Christiani, X Lin
Biostatistics 14 (4), 667-681, 2013
1262013
Update on the state of the science for analytical methods for gene-environment interactions
WJ Gauderman, B Mukherjee, H Aschard, L Hsu, JP Lewinger, CJ Patel, ...
American journal of epidemiology 186 (7), 762-770, 2017
1092017
Convergence and prediction of principal component scores in high-dimensional settings
S Lee, F Zou, FA Wright
Annals of statistics 38 (6), 3605, 2010
1052010
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