Dey, Kushal K.

Genome-wide enhancer maps link risk variants to disease genes

Nasser, J., Bergman, D. T., Fulco, C. P., Guckelberger, P., Doughty, B. R., Patwardhan, T. A., Jones, T. R., Nguyen, T. H., Ulirsch, J. C., Lekschas, F., et al. (2021) · Nature

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 669

Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data

Zhang, M. J., Hou, K., Dey, K. K., Sakaue, S., Jagadeesh, K. A., Weinand, K., Taychameekiatchai, A., Rao, P., Pisco, A. O., Zou, J., et al. (2022) · Nature Genetics

Single-cell and spatial transcriptomicsGenetic Associations and Epidemiology

Cited by 302

Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics

Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R., Gazal, S., Engreitz, J. M., Xavier, R. J., Price, A. L., & Regev, A. (2022) · Nature Genetics

Genetic Associations and EpidemiologySingle-cell and spatial transcriptomics

Cited by 239

Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity

Gazal, S., Weissbrod, O., Hormozdiari, F., Dey, K. K., Nasser, J., Jagadeesh, K. A., Weiner, D. J., Shi, H., Fulco, C. P., O’Connor, L. J., et al. (2022) · Nature Genetics

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 181

An encyclopedia of enhancer-gene regulatory interactions in the human genome

Gschwind, A. R., Mualim, K. S., Karbalayghareh, A., Sheth, M. U., Dey, K. K., Jagoda, E., Nurtdinov, R. N., Xi, W., Tan, A. S., Jones, H., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory)

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 119

Scalable genetic screening for regulatory circuits using compressed Perturb-seq

Yao, D., Binan, L., Bezney, J., Simonton, B., Freedman, J., Frangieh, C. J., Dey, K., Geiger-Schuller, K., Eraslan, B., Gusev, A., et al. (2024) · Nature Biotechnology

CRISPR and Genetic EngineeringSingle-cell and spatial transcriptomics

Cited by 101

Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types

Kim, S. S., Truong, B., Jagadeesh, K., Dey, K. K., Shen, A. Z., Raychaudhuri, S., Kellis, M., & Price, A. L. (2024) · Nature Communications

Single-cell and spatial transcriptomicsGenetic Associations and Epidemiology

Cited by 56

Mapping the dynamic genetic regulatory architecture of HLA genes at single-cell resolution

Kang, J. B., Shen, A. Z., Gurajala, S., Nathan, A., Rumker, L., Aguiar, V. R. C., Valencia, C., Lagattuta, K. A., Zhang, F., Jonsson, A. H., et al. (2023) · Nature Genetics

Genetic Associations and EpidemiologySingle-cell and spatial transcriptomics

Cited by 49