Author
University of North Carolina at Chapel HillORCID 0000-0002-4926-2875Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Bryce Rowland, Ruth Huh, Zoey Hou, Cheynna Crowley, Jia Wen, Yin Shen, Ming Hu, Paola Giusti‐Rodríguez, Patrick F. Sullivan, Yun Li
THUNDER is a deconvolution method that infers cell type proportions from bulk Hi-C data, outperforming existing methods in accuracy.
PLoS Genetics · Mar 8, 2022Peer-reviewedBioinformatics
Quan Sun, Cheynna Crowley, Le Huang, Jia Wen, Jiawen Carmen Chen, Erik L. Bao, Paul Livermore Auer, Guillaume Lettre, Alex P. Reiner, Vijay G. Sankaran, Laura M. Raffield, Yun Li
This study prioritizes functional elements of ~148,000 GWAS variants for blood cell traits using a web tool, showing prioritized variants are more likely to be experimentally validated.
Human Genetics and Genomics Advances · Oct 12, 2021Peer-reviewedGenetics
Cheynna Crowley, Yuchen Yang, Yunjiang Qiu, Benxia Hu, Armen Abnousi, Jakub Lipiński, Dariusz Plewczyński, Di Wu, Hyejung Won, Bing Ren, Ming Hu, Yun Li
FIREcaller detects frequently interacting regions from Hi-C data and shows their association with gene regulation and GWAS variants in human tissues.
Computational and Structural Biotechnology Journal · Dec 29, 2020Peer-reviewedBioinformatics
Benxia Hu, Hyejung Won, Won Mah, Royce Park, Bibi S. Kassim, Keeley Spiess, Alexey Kozlenkov, Cheynna Crowley, Sirisha Pochareddy, Yun Li, Stella M. Dracheva, Nenad Šestan, Schahram Akbarian, Daniel H. Geschwind
The paper integrates chromatin architecture with transcriptomic data to explore cell-type-specific gene regulatory networks in brain disorders, identifying distinct cellular contributions to Alzheimer's and psychiatric diseases.
bioRxiv · May 14, 2020 · PreprintNeuroscience
eQTLGen, Naomi R. Wray, 23andMe, Stephan Ripke, Manuel Mattheisen, Maciej Trzaskowski, Enda M. Byrne, Abdel Abdellaoui, Mark J. Adams, Esben Agerbo, Tracy Air, Till F. M. Andlauer, Silviu‐Alin Bacanu, Marie Bækvad‐Hansen, Aartjan T.F. Beekman, , Niamh Mullins
Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.
Nature Genetics · Apr 26, 2018Peer-reviewedGenetics✦ In-depth digest