Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. - Jason L. Stein; Xue Hua; Jonathan H. Morra; Suh Lee; Derrek P. Hibar; April J. Ho; Alex D. Leow; Arthur W. Toga; Jae Hoon Sul; Hyun Min Kang; Eleazar Eskin; Andrew J. Saykin; et al. (NeuroImage, 2010)

Increasing Power of Groupwise Association Test with Likelihood Ratio Test. - Jae Hoon Sul; Buhm Han; Eleazar Eskin (J. Comput. Biol., 2011)

Design of efficient and statistically powerful approaches for human genetics. - Jae Hoon Sul (2013)

Gene-Gene Interactions Detection Using a Two-stage Model. - Zhanyong Wang; Jae Hoon Sul; Sagi Snir; José Antonio Lozano 001; Eleazar Eskin (J. Comput. Biol., 2015)

Using genomic annotations increases statistical power to detect eGenes. - Dat Duong; Jennifer Zou; Farhad Hormozdiari; Jae Hoon Sul; Jason Ernst; Buhm Han; Eleazar Eskin (Bioinform., 2016)

Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes. - Dat Duong; Lisa Gai; Sagi Snir; Eun Yong Kang; Buhm Han; Jae Hoon Sul; Eleazar Eskin (Bioinform., 2017)

ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. - Jiajin Li; Brandon Jew; Lingyu Zhan; Sungoo Hwang; Giovanni Coppola; Nelson B. Freimer; Jae Hoon Sul (PLoS Comput. Biol., 2019)

An Efficient Linear Mixed Model Framework for Meta-Analytic Association Studies Across Multiple Contexts. - Brandon Jew; Jiajin Li; Sriram Sankararaman; Jae Hoon Sul (WABI, 2021)

xGAP: a python based efficient, modular, extensible and fault tolerant genomic analysis pipeline for variant discovery. - Aditya Gorla; Brandon Jew; Luke Zhang; Jae Hoon Sul (Bioinform., 2021)