한빛사논문 | BRIC

이승근 님의 논문 목록

서울대학교

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- 이승근(서울대학교)
Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank
- Am. J. Hum. Genet., Published:April 04, 2023 | https://doi.org/10.1016/j.ajhg.2023.03.010
- 2023-04
- 생명과학
- 한빛사논문
- 이승근(서울대학교)
The construction of cross-population polygenic risk scores using transfer learning
- Am. J. Hum. Genet., 2022 Nov 3;109(11):1998-2008 | https://doi.org/10.1016/j.ajhg.2022.09.010
- 2022-11
- 생명과학
- 한빛사논문
- 이승근(서울대학교)
SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests
- Nat. Genet., 2022 Oct;54(10):1466-1469 | doi: 10.1038/s41588-022-01178-w
- 2022-10
- 생명과학
- 한빛사논문
- 이승근(서울대학교, University of Michigan)
Efficient mixed model approach for large-scale genome-wide association studies of ordinal categorical phenotypes
- Am. J. Hum. Genet., Available online 8 April 2021 | https://doi.org/10.1016/j.ajhg.2021.03.019
- 2021-04
- 생명과학
- 한빛사논문
- 이승근(서울대학교, University of Michigan)
A powerful subset-based method identifies gene set associations and improves interpretation in UK Biobank
- Am. J. Hum. Genet., Available online 16 March 2021 | https://doi.org/10.1016/j.ajhg.2021.02.016
- 2021-03
- 생명과학
- 한빛사논문
- 이승근(서울대학교, University of Michigan)
Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts
- Nat. Genet., Published: 18 May 2020 | https://doi.org/10.1038/s41588-020-0621-6
- 2020-05
- 생명과학
- 한빛사논문
- 이승근(University of Michigan)
A Fast and Accurate Algorithm to Test for Binary Phenotypes and Its Application to PheWAS
- Am. J. Hum. Genet., Volume 101, Issue 1, 6 July 2017, Pages 37-49 | https://doi.org/10.1016/j.ajhg.2017.05.014
- 2017-07
- 생명과학
- 한빛사논문
- 이승근(Harvard School of Public Health)
General Framework for Meta-analysis of Rare Variants in Sequencing Association Studies
- Am. J. Hum. Genet., Volume 93, Issue 1, 42-53, 13 June 2013 | doi:10.1016/j.ajhg.2013.05.010
- 2013-06
- 생명과학
- 한빛사논문, 상위피인용논문
- 이승근(Harvard School of Public Health)
Sequence Kernel Association Tests for the Combined Effect of Rare and Common Variants
- Am. J. Hum. Genet., 16 May 2013 | doi:10.1016/j.ajhg.2013.04.015
- 2013-05
- 생명과학
- 한빛사논문
- 이승근(Harvard School of Public Health)
Optimal Unified Approach for Rare-Variant Association Testing with Application to Small-Sample Case-Control Whole-Exome Sequencing Studies
- Am. J. Hum. Genet., Volume 91, Issue 2, 224-237, 02 August 2012 | doi:10.1016/j.ajhg.2012.06.007
- 2012-08
- 생명과학
- 한빛사논문

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