Hou, Kangcheng

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

Accurate estimation of SNP-heritability from biobank-scale data irrespective of genetic architecture

Hou, K., Burch, K. S., Majumdar, A., Shi, H., Mancuso, N., Wu, Y., Sankararaman, S., & Pasaniuc, B. (2019) · Nature Genetics

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 91

Optimized design of single-cell RNA sequencing experiments for cell-type-specific eQTL analysis

Mandric, I., Schwarz, T., Majumdar, A., Hou, K., Briscoe, L., Perez, R., Subramaniam, M., Hafemeister, C., Satija, R., Ye, C. J., et al. (2020) · Nature Communications

Single-cell and spatial transcriptomicsGenetic Associations and Epidemiology

Cited by 62

Efficient variance components analysis across millions of genomes

Pazokitoroudi, A., Wu, Y., Burch, K. S., Hou, K., Zhou, A., Pasaniuc, B., & Sankararaman, S. (2020) · Nature Communications

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 55

Estimation of regional polygenicity from GWAS provides insights into the genetic architecture of complex traits

Johnson, R., Burch, K. S., Hou, K., Paciuc, M., Pasaniuc, B., & Sankararaman, S. (2021) · PLoS Computational Biology

Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock

Cited by 16

Integration of polygenic risk with single cell methylation data using met-scDRS

Li, X., Shi, Z., Hou, K., Eyring, K. W., Liu, C., Heffel, M. G., Luo, C., Geschwind, D. H., & Pasaniuc, B. (2026) · Bioinformatics

Epigenetics and DNA MethylationGenetic Associations and Epidemiology

Cited by 0