Suchergebnisse - Sul, Jae Hoon

Increasing Power of Groupwise Association Test with Likelihood Ratio Test von Sul, Jae Hoon, Han, Buhm, Eskin, Eleazar

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Population structure in genetic studies: Confounding factors and mixed models von Sul, Jae Hoon, Martin, Lana S., Eskin, Eleazar

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An Optimal Weighted Aggregated Association Test for Identification of Rare Variants Involved in Common Diseases von Sul, Jae Hoon, Han, Buhm, He, Dan, Eskin, Eleazar

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Mapping subsets of scholarly information von Ginsparg, Paul, Houle, Paul, Joachims, Thorsten, Sul, Jae-Hoon

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xGAP: a python based efficient, modular, extensible and fault tolerant genomic analysis pipeline for variant discovery von Gorla, Aditya, Jew, Brandon, Zhang, Luke, Sul, Jae Hoon

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Rare variants regulate expression of nearby individual genes in multiple tissues von Li, Jiajin, Kong, Nahyun, Han, Buhm, Sul, Jae Hoon

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An efficient linear mixed model framework for meta-analytic association studies across multiple contexts von Jew, Brandon, Li, Jiajin, Sankararaman, Sriram, Sul, Jae Hoon

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Rare variants in the endocytic pathway are associated with Alzheimer’s disease, its related phenotypes, and functional consequences von Zhan, Lingyu, Li, Jiajin, Jew, Brandon, Sul, Jae Hoon

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Effectively Identifying eQTLs from Multiple Tissues by Combining Mixed Model and Meta-analytic Approaches von Sul, Jae Hoon, Han, Buhm, Ye, Chun, Choi, Ted, Eskin, Eleazar

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Gene–Gene Interactions Detection Using a Two-stage Model von Wang, Zhanyong, Sul, Jae Hoon, Snir, Sagi, Lozano, Jose A., Eskin, Eleazar

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Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies von J Joo, Jong Wha, Sul, Jae Hoon, Han, Buhm, Ye, Chun, Eskin, Eleazar

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Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease von Spendlove, Sarah J., Bondhus, Leroy, Lluri, Gentian, Sul, Jae Hoon, Arboleda, Valerie A.

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Using genomic annotations increases statistical power to detect eGenes von Duong, Dat, Zou, Jennifer, Hormozdiari, Farhad, Sul, Jae Hoon, Ernst, Jason, Han, Buhm, Eskin, Eleazar

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Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models von Sul, Jae Hoon, Bilow, Michael, Yang, Wen-Yun, Kostem, Emrah, Furlotte, Nick, He, Dan, Eskin, Eleazar

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A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping von Han, Buhm, Duong, Dat, Sul, Jae Hoon, de Bakker, Paul I. W., Eskin, Eleazar, Raychaudhuri, Soumya

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

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

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Purifying selection on noncoding deletions of human regulatory loci detected using their cellular pleiotropy von Radke, David W., Sul, Jae Hoon, Balick, Daniel J., Akle, Sebastian, Green, Robert C., Sunyaev, Shamil R.

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Increasing Generality and Power of Rare-Variant Tests by Utilizing Extended Pedigrees von Sul, Jae Hoon, Cade, Brian E., Cho, Michael H., Qiao, Dandi, Silverman, Edwin K., Redline, Susan, Sunyaev, Shamil

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Leveraging allelic imbalance to refine fine-mapping for eQTL studies von Zou, Jennifer, Hormozdiari, Farhad, Jew, Brandon, Castel, Stephane E., Lappalainen, Tuuli, Ernst, Jason, Sul, Jae Hoon, Eskin, Eleazar

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