Kim, Yungil
Johns Hopkins University · Icahn School of Medicine at Mount Sinai
7 papers on CoChat
Most cited papers
- Verified
Unraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 2,607
- Verified
Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., et al. (2021) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 2,607
- Verified
The impact of structural variation on human gene expression
GTEx Consortium, Chiang, C., Scott, A. J., Davis, J. R., Tsang, E. K., Li, X., Kim, Y., Hadzic, T., Damani, F. N., Ganel, L., et al. (2017) · Nature Genetics
Genomic variations and chromosomal abnormalitiesGenetic Associations and Epidemiology
Cited by 495
- Verified
Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood
Qi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 427
- Verified
Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.
Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., et al. (2019) · Nature Communications
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 322
- Verified
Large eQTL meta-analysis reveals differing patterns between cerebral cortical and cerebellar brain regions
Sieberts, S. K., Perumal, T. M., Carrasquillo, M. M., Allen, M., Reddy, J. S., Hoffman, G. E., Dang, K. K., Calley, J., Ebert, P. J., Eddy, J., et al. (2020) · Scientific Data
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 318
- Verified
Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics
Barbeira, A. N., Dickinson, S. P., Bonazzola, R., Zheng, J., Wheeler, H. E., Torres, J. M., Torstenson, E. S., Shah, K. P., Garcia, T., Edwards, T. L., et al. (2018) · Nature Communications
Genetic Associations and EpidemiologyBioinformatics and Genomic Networks
Cited by 69
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