Jae H. Sul, Ph.D. - Publications

2013 Computer Science University of California, Los Angeles, Los Angeles, CA 
bioinformatics; computational biology; machine learning

21 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Zou J, Hormozdiari F, Jew B, Castel SE, Lappalainen T, Ernst J, Sul JH, Eskin E. Leveraging allelic imbalance to refine fine-mapping for eQTL studies. Plos Genetics. 15: e1008481. PMID 31834882 DOI: 10.1371/Journal.Pgen.1008481  0.76
2018 Sul JH, Martin LS, Eskin E. Population structure in genetic studies: Confounding factors and mixed models. Plos Genetics. 14: e1007309. PMID 30589851 DOI: 10.1371/Journal.Pgen.1007309  0.76
2017 Duong D, Gai L, Snir S, Kang EY, Han B, Sul JH, Eskin E. Applying meta-analysis to genotype-tissue expression data from multiple tissues to identify eQTLs and increase the number of eGenes. Bioinformatics (Oxford, England). 33: i67-i74. PMID 28881962 DOI: 10.1093/Bioinformatics/Btx227  0.76
2016 Hormozdiari F, van de Bunt M, Segrè AV, Li X, Joo JW, Bilow M, Sul JH, Sankararaman S, Pasaniuc B, Eskin E. Colocalization of GWAS and eQTL Signals Detects Target Genes. American Journal of Human Genetics. PMID 27866706 DOI: 10.1016/J.Ajhg.2016.10.003  0.76
2016 Duong D, Zou J, Hormozdiari F, Sul JH, Ernst J, Han B, Eskin E. Using genomic annotations increases statistical power to detect eGenes. Bioinformatics (Oxford, England). 32: i156-i163. PMID 27307612 DOI: 10.1093/Bioinformatics/Btw272  0.76
2016 Sul JH, Bilow M, Yang WY, Kostem E, Furlotte N, He D, Eskin E. Accounting for Population Structure in Gene-by-Environment Interactions in Genome-Wide Association Studies Using Mixed Models. Plos Genetics. 12: e1005849. PMID 26943367 DOI: 10.1371/Journal.Pgen.1005849  0.76
2016 Han B, Duong D, Sul JH, de Bakker PI, Eskin E, Raychaudhuri S. A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping. Human Molecular Genetics. PMID 26908615 DOI: 10.1093/Hmg/Ddw049  0.76
2015 Sul JH, Raj T, de Jong S, de Bakker PI, Raychaudhuri S, Ophoff RA, Stranger BE, Eskin E, Han B. Accurate and fast multiple-testing correction in eQTL studies. American Journal of Human Genetics. 96: 857-68. PMID 26027500 DOI: 10.1016/J.Ajhg.2015.04.012  0.76
2015 Wang Z, Sul JH, Snir S, Lozano JA, Eskin E. Gene-Gene Interactions Detection Using a Two-stage Model. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 22: 563-76. PMID 25871811 DOI: 10.1089/Cmb.2014.0163  0.76
2015 Luykx JJ, Bakker SC, Visser WF, Verhoeven-Duif N, Buizer-Voskamp JE, den Heijer JM, Boks MP, Sul JH, Eskin E, Ori AP, Cantor RM, Vorstman J, Strengman E, DeYoung J, Kappen TH, et al. Genome-wide association study of NMDA receptor coagonists in human cerebrospinal fluid and plasma. Molecular Psychiatry. PMID 25666758 DOI: 10.1038/Mp.2014.190  0.76
2014 Plongthongkum N, van Eijk KR, de Jong S, Wang T, Sul JH, Boks MP, Kahn RS, Fung HL, Ophoff RA, Zhang K. Characterization of genome-methylome interactions in 22 nuclear pedigrees. Plos One. 9: e99313. PMID 25019935 DOI: 10.1371/Journal.Pone.0099313  0.76
2014 Joo JW, Sul JH, Han B, Ye C, Eskin E. Effectively identifying regulatory hotspots while capturing expression heterogeneity in gene expression studies. Genome Biology. 15: r61. PMID 24708878 DOI: 10.1186/Gb-2014-15-4-R61  0.76
2014 Luykx JJ, Bakker SC, Lentjes E, Neeleman M, Strengman E, Mentink L, DeYoung J, de Jong S, Sul JH, Eskin E, van Eijk K, van Setten J, Buizer-Voskamp JE, Cantor RM, Lu A, et al. Genome-wide association study of monoamine metabolite levels in human cerebrospinal fluid. Molecular Psychiatry. 19: 228-34. PMID 23319000 DOI: 10.1038/Mp.2012.183  0.76
2013 Sul JH, Han B, Ye C, Choi T, Eskin E. Effectively identifying eQTLs from multiple tissues by combining mixed model and meta-analytic approaches. Plos Genetics. 9: e1003491. PMID 23785294 DOI: 10.1371/Journal.Pgen.1003491  0.76
2013 Navon O, Sul JH, Han B, Conde L, Bracci PM, Riby J, Skibola CF, Eskin E, Halperin E. Rare variant association testing under low-coverage sequencing. Genetics. 194: 769-79. PMID 23636738 DOI: 10.1534/Genetics.113.150169  0.76
2013 Sul JH, Eskin E. Mixed models can correct for population structure for genomic regions under selection. Nature Reviews. Genetics. 14: 300. PMID 23438871 DOI: 10.1038/Nrg2813-C1  0.76
2012 Miller MB, Basu S, Cunningham J, Eskin E, Malone SM, Oetting WS, Schork N, Sul JH, Iacono WG, McGue M. The Minnesota Center for Twin and Family Research genome-wide association study. Twin Research and Human Genetics : the Official Journal of the International Society For Twin Studies. 15: 767-74. PMID 23363460 DOI: 10.1017/Thg.2012.62  0.76
2011 Sul JH, Han B, Eskin E. Increasing power of groupwise association test with likelihood ratio test. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 18: 1611-24. PMID 21919745 DOI: 10.1089/Cmb.2011.0161  0.76
2011 Sul JH, Han B, He D, Eskin E. An optimal weighted aggregated association test for identification of rare variants involved in common diseases. Genetics. 188: 181-8. PMID 21368279 DOI: 10.1534/Genetics.110.125070  0.76
2010 Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB, Sabatti C, Eskin E. Variance component model to account for sample structure in genome-wide association studies. Nature Genetics. 42: 348-54. PMID 20208533 DOI: 10.1038/Ng.548  0.76
2010 Stein JL, Hua X, Morra JH, Lee S, Hibar DP, Ho AJ, Leow AD, Toga AW, Sul JH, Kang HM, Eskin E, Saykin AJ, Shen L, Foroud T, Pankratz N, et al. Genome-wide analysis reveals novel genes influencing temporal lobe structure with relevance to neurodegeneration in Alzheimer's disease. Neuroimage. 51: 542-54. PMID 20197096 DOI: 10.1016/J.Neuroimage.2010.02.068  0.76
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