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Jae H. Sul, Ph.D. - Publications

Affiliations: 
2013 Computer Science University of California, Los Angeles, Los Angeles, CA 
Area:
bioinformatics; computational biology; machine learning
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44 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
2023 Jung S, Lee CH, Sul JH, Han B. Building an optimal predictive model for imputing tissue-specific gene expression by combining genotype and whole-blood transcriptome data. Hgg Advances. 4: 100223. PMID 37576186 DOI: 10.1016/j.xhgg.2023.100223  0.581
2023 Kurki MI, Karjalainen J, Palta P, Sipilä TP, Kristiansson K, Donner KM, Reeve MP, Laivuori H, Aavikko M, Kaunisto MA, Loukola A, Lahtela E, Mattsson H, Laiho P, Della Briotta Parolo P, ... ... Sul JH, et al. FinnGen provides genetic insights from a well-phenotyped isolated population. Nature. 613: 508-518. PMID 36653562 DOI: 10.1038/s41586-022-05473-8  0.401
2022 Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, ... ... Sul JH, et al. Author Correction: Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. Genome Medicine. 14: 128. PMID 36384576 DOI: 10.1186/s13073-022-01128-5  0.524
2022 Johnson R, Ding Y, Venkateswaran V, Bhattacharya A, Boulier K, Chiu A, Knyazev S, Schwarz T, Freund M, Zhan L, Burch KS, Caggiano C, Hill B, Rakocz N, Balliu B, ... ... Sul JH, et al. Leveraging genomic diversity for discovery in an electronic health record linked biobank: the UCLA ATLAS Community Health Initiative. Genome Medicine. 14: 104. PMID 36085083 DOI: 10.1186/s13073-022-01106-x  0.548
2022 Spendlove SJ, Bondhus L, Lluri G, Sul JH, Arboleda VA. Polygenic risk scores of endo-phenotypes identify the effect of genetic background in congenital heart disease. Hgg Advances. 3: 100112. PMID 35599848 DOI: 10.1016/j.xhgg.2022.100112  0.371
2021 Zhan L, Li J, Jew B, Sul JH. Rare variants in the endocytic pathway are associated with Alzheimer's disease, its related phenotypes, and functional consequences. Plos Genetics. 17: e1009772. PMID 34516545 DOI: 10.1371/journal.pgen.1009772  0.375
2021 Li J, Kong N, Han B, Sul JH. Rare variants regulate expression of nearby individual genes in multiple tissues. Plos Genetics. 17: e1009596. PMID 34061836 DOI: 10.1371/journal.pgen.1009596  0.688
2021 Jew B, Sul JH. Variant calling and quality control of large-scale human genome sequencing data. Emerging Topics in Life Sciences. 3: 399-409. PMID 33523207 DOI: 10.1042/ETLS20190007  0.333
2021 Jew B, Sul JH. Variant calling and quality control of large-scale human genome sequencing data. Emerging Topics in Life Sciences. 3: 399-409. PMID 33523207 DOI: 10.1042/ETLS20190007  0.333
2021 Gorla A, Jew B, Zhang L, Sul JH. xGAP: A python based efficient, modular, extensible and fault tolerant genomic analysis pipeline for variant discovery. Bioinformatics (Oxford, England). PMID 33416856 DOI: 10.1093/bioinformatics/btaa1097  0.342
2020 Jew B, Alvarez M, Rahmani E, Miao Z, Ko A, Garske KM, Sul JH, Pietiläinen KH, Pajukanta P, Halperin E. Accurate estimation of cell composition in bulk expression through robust integration of single-cell information. Nature Communications. 11: 1971. PMID 32332754 DOI: 10.1038/S41467-020-15816-6  0.384
2020 Sul JH, Service SK, Huang AY, Ramensky V, Hwang SG, Teshiba TM, Park Y, Ori APS, Zhang Z, Mullins N, Olde Loohuis LM, Fears SC, Araya C, Araya X, Spesny M, et al. Contribution of common and rare variants to bipolar disorder susceptibility in extended pedigrees from population isolates. Translational Psychiatry. 10: 74. PMID 32094344 DOI: 10.1038/S41398-020-0758-1  0.463
2019 Li J, Jew B, Zhan L, Hwang S, Coppola G, Freimer NB, Sul JH. ForestQC: Quality control on genetic variants from next-generation sequencing data using random forest. Plos Computational Biology. 15: e1007556. PMID 31851693 DOI: 10.1371/Journal.Pcbi.1007556  0.397
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  0.718
2019 Yu D, Sul JH, Tsetsos F, Nawaz MS, Huang AY, Zelaya I, Illmann C, Osiecki L, Darrow SM, Hirschtritt ME, Greenberg E, Muller-Vahl KR, Stuhrmann M, Dion Y, Rouleau G, et al. Interrogating the Genetic Determinants of Tourette's Syndrome and Other Tic Disorders Through Genome-Wide Association Studies. The American Journal of Psychiatry. 176: 217-227. PMID 30818990 DOI: 10.1176/Appi.Ajp.2018.18070857  0.386
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  0.642
2018 Mooney JA, Huber CD, Service S, Sul JH, Marsden CD, Zhang Z, Sabatti C, Ruiz-Linares A, Bedoya G, Freimer N, Lohmueller KE. Understanding the Hidden Complexity of Latin American Population Isolates. American Journal of Human Genetics. 103: 707-726. PMID 30401458 DOI: 10.1016/J.Ajhg.2018.09.013  0.365
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  0.787
2017 Huang AY, Yu D, Davis LK, Sul JH, Tsetsos F, Ramensky V, Zelaya I, Ramos EM, Osiecki L, Chen JA, McGrath LM, Illmann C, Sandor P, Barr CL, Grados M, et al. Rare Copy Number Variants in NRXN1 and CNTN6 Increase Risk for Tourette Syndrome. Neuron. 94: 1101-1111.e7. PMID 28641109 DOI: 10.1016/J.Neuron.2017.06.010  0.425
2017 Sohail M, Vakhrusheva OA, Sul JH, Pulit SL, Francioli LC, van den Berg LH, Veldink JH, de Bakker PIW, Bazykin GA, Kondrashov AS, Sunyaev SR. Negative selection in humans and fruit flies involves synergistic epistasis. Science (New York, N.Y.). 356: 539-542. PMID 28473589 DOI: 10.1126/Science.Aah5238  0.38
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 find eQTLs and eGenes F1000research. 6. DOI: 10.7490/F1000Research.1114779.1  0.697
2016 Jew B, Li J, Sankararaman S, Sul JH. An efficient linear mixed model framework for meta-analytic association studies across multiple contexts. Lipics : Leibniz International Proceedings in Informatics. 2016. PMID 34335990  0.37
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  0.697
2016 Sul JH, Cade BE, Cho MH, Qiao D, Silverman EK, Redline S, Sunyaev S. Increasing Generality and Power of Rare-Variant Tests by Utilizing Extended Pedigrees. American Journal of Human Genetics. PMID 27666371 DOI: 10.1016/J.Ajhg.2016.08.015  0.473
2016 Bae JS, Koh I, Cheong HS, Seo JM, Kim DY, Oh JT, Kim HY, Jung K, Sul JH, Park WY, Kim JH, Shin HD. A genome-wide association analysis of chromosomal aberrations and Hirschsprung disease. Translational Research : the Journal of Laboratory and Clinical Medicine. PMID 27370899 DOI: 10.1016/J.Trsl.2016.06.001  0.425
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  0.753
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  0.723
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  0.734
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  0.738
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  0.618
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  0.581
2014 Kim JH, Cheong HS, Sul JH, Seo JM, Kim DY, Oh JT, Park KW, Kim HY, Jung SM, Jung K, Cho MJ, Bae JS, Shin HD. A genome-wide association study identifies potential susceptibility loci for Hirschsprung disease. Plos One. 9: e110292. PMID 25310821 DOI: 10.1371/Journal.Pone.0110292  0.475
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  0.387
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  0.756
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  0.669
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  0.751
2013 Rietveld CA, Medland SE, Derringer J, Yang J, Esko T, Martin NW, Westra HJ, Shakhbazov K, Abdellaoui A, Agrawal A, Albrecht E, Alizadeh BZ, Amin N, Barnard J, Baumeister SE, ... ... Sul JH, et al. GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science (New York, N.Y.). 340: 1467-71. PMID 23722424 DOI: 10.1126/Science.1235488  0.437
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  0.707
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  0.579
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  0.584
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  0.74
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  0.754
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  0.75
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  0.597
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