Crowley, Cheynna A.

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

eQTLGen, Wray, N. R., 23andMe, the Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E. M., Abdellaoui, A., Adams, M. J., et al. (2018) · Nature Genetics

Genetic Associations and EpidemiologyTreatment of Major Depression

Cited by 3,005

Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders

Hu, B., Won, H., Mah, W., Park, R. B., Kassim, B., Spiess, K., Kozlenkov, A., Crowley, C. A., Pochareddy, S., The PsychENCODE Consortium, et al. (2021) · Nature Communications

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 103

FIREcaller: Detecting frequently interacting regions from Hi-C data

Crowley, C., Yang, Y., Qiu, Y., Hu, B., Abnousi, A., Lipiński, J., Plewczyński, D., Wu, D., Won, H., Ren, B., et al. (2021) · Computational and Structural Biotechnology Journal

Genomics and Chromatin DynamicsBioinformatics and Genomic Networks

Cited by 37