Eun Yong Kang
Eun Yong Kang
Machine Learning Scientist, Microsoft
Verified email at
Cited by
Cited by
Genetic effects on gene expression across human tissues
GTEx Consortium
Nature 550 (7675), 204, 2017
Landscape of X chromosome inactivation across human tissues
T Tukiainen, AC Villani, A Yen, MA Rivas, JL Marshall, R Satija, M Aguirre, ...
Nature 550 (7675), 244-248, 2017
Identifying causal variants at loci with multiple signals of association
F Hormozdiari, E Kostem, EY Kang, B Pasaniuc, E Eskin
Genetics 198 (2), 497-508, 2014
Dynamic landscape and regulation of RNA editing in mammals
MH Tan, Q Li, R Shanmugam, R Piskol, J Kohler, AN Young, KI Liu, ...
Nature 550 (7675), 249-254, 2017
Using an atlas of gene regulation across 44 human tissues to inform complex disease- and trait-associated variation
Nature Genetics 50, 956–967, 2018
Genetic and environmental control of host-gut microbiota interactions
E Org, BW Parks, JWJ Joo, B Emert, W Schwartzman, EY Kang, ...
Genome research 25 (10), 1558-1569, 2015
The impact of rare variation on gene expression across tissues
X Li, Y Kim, EK Tsang, JR Davis, FN Damani, C Chiang, GT Hess, ...
Nature 550 (7675), 239-243, 2017
Identification of individuals by trait prediction using whole-genome sequencing data
C Lippert, R Sabatini, MC Maher, EY Kang, S Lee, O Arikan, A Harley, ...
Proceedings of the National Academy of Sciences 114 (38), 10166-10171, 2017
Hybrid mouse diversity panel: a panel of inbred mouse strains suitable for analysis of complex genetic traits
A Ghazalpour, CD Rau, CR Farber, BJ Bennett, LD Orozco, A van Nas, ...
Mammalian genome 23 (9), 680-692, 2012
Fine mapping in 94 inbred mouse strains using a high-density haplotype resource
A Kirby, HM Kang, CM Wade, C Cotsapas, E Kostem, B Han, N Furlotte, ...
Genetics 185 (3), 1081-1095, 2010
Co-expression networks reveal the tissue-specific regulation of transcription and splicing
A Saha, Y Kim, ADH Gewirtz, B Jo, C Gao, IC McDowell, BE Engelhardt, ...
Genome research 27 (11), 1843-1858, 2017
A powerful and efficient set test for genetic markers that handles confounders
J Listgarten, C Lippert, EY Kang, J Xiang, CM Kadie, D Heckerman
Bioinformatics 29 (12), 1526-1533, 2013
The benefits of selecting phenotype-specific variants for applications of mixed models in genomics
C Lippert, G Quon, EY Kang, CM Kadie, J Listgarten, D Heckerman
Scientific reports 3 (1), 1-9, 2013
Local genetic effects on gene expression across 44 human tissues
F Aguet, AA Brown, SE Castel, JR Davis, P Mohammadi, AV Segre, ...
BiorXiv, 074450, 2016
The genetic basis of host preference and resting behavior in the major African malaria vector, Anopheles arabiensis
BJ Main, Y Lee, HM Ferguson, KS Kreppel, A Kihonda, NJ Govella, ...
PLoS genetics 12 (9), e1006303, 2016
Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis
F Yang, J Wang, BL Pierce, LS Chen, F Aguet, KG Ardlie, BB Cummings, ...
Genome research 27 (11), 1859-1871, 2017
Meta-analysis identifies gene-by-environment interactions as demonstrated in a study of 4,965 mice
EY Kang, B Han, N Furlotte, JWJ Joo, D Shih, RC Davis, AJ Lusis, E Eskin
PLoS Genet 10 (1), e1004022, 2014
Imputing phenotypes for genome-wide association studies
F Hormozdiari, EY Kang, M Bilow, E Ben-David, C Vulpe, S McLachlan, ...
The American Journal of Human Genetics 99 (1), 89-103, 2016
Genome-wide association study for age-related hearing loss (AHL) in the mouse: a meta-analysis
J Ohmen, EY Kang, X Li, JW Joo, F Hormozdiari, QY Zheng, RC Davis, ...
Journal of the Association for Research in Otolaryngology 15 (3), 335-352, 2014
ForestPMPlot: a flexible tool for visualizing heterogeneity between studies in meta-analysis
EY Kang, Y Park, X Li, AV SegrŤ, B Han, E Eskin
G3: Genes, Genomes, Genetics 6 (7), 1793-1798, 2016
The system can't perform the operation now. Try again later.
Articles 1–20