Dr. He Zhang

Dr. He Zhang

Computational Biologist III at UT Southwestern Medical Center

Publications

First and co-first author papers

  1. Zhang H, Zhan X, Brugarolas J, Xie Y: DEFOR: Depth- and Frequency-Based Somatic Copy Number Alteration Detector. Bioinformatics 2019 [PMID:30860569]
  2. Tang CS*, Zhang H*, Cheung CY, Xu M, Ho JC, Zhou W, Cherny SS, Zhang Y, Holmen O, Au K-W, et al: Exome-wide association analysis reveals novel coding sequence variants associated with lipid traits in Chinese. Nature communications 2015, 6. [PMID:26690388]
  3. Lange LA*, Hu Y*, Zhang H*, Xue C, Schmidt EM, Tang Z-Z, Bizon C, Lange EM, Smith JD, Turner EH: Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. The American Journal of Human Genetics 2014, 94(2):233-245 [PMID:24507775]
  4. Holmen OL*, Zhang H*, Zhou W*, Schmidt E, Hovelson DH, Langhammer A, Løchen M-L, Ganesh SK, Mathiesen EB, Vatten L: No large-effect low-frequency coding variation found for myocardial infarction. Human molecular genetics 2014, 23(17):4721-4728. [PMID:24728188]
  5. Holmen OL*, Zhang H*, Fan Y*, Hovelson DH, Schmidt EM, Zhou W, Guo Y, Zhang J, Langhammer A, Løchen M-L: Systematic evaluation of coding variation identifies a candidate causal variant in TM6SF2 influencing total cholesterol and myocardial infarction risk. Nature genetics 2014, 46(4):345-351. [PMID:24633158]
  6. Zhang H, Jin J, Tang L, Zhao Y, Gu X, et al: PlantTFDB 2.0: update and improvement of the comprehensive plant transcription factor database. Nucleic Acids Research 2011, 39: D1114-D1117. [PMID:21097470]

Other papers

  1. Li HD, Lu C, Zhang H, Hu Q, Zhang J, Cuevas IC, Sahoo SS, Aguilar M, Maurais EG, Zhang S et al: A PoleP286R mouse model of endometrial cancer recapitulates high mutational burden and immunotherapy response. JCI Insight 2020, 5(14). [PMID:32699191]
  2. Zhu X, Zhang H, Mendell JT: Ribosome Recycling by ABCE1 Links Lysosomal Function and Iron Homeostasis to 3’ UTR-Directed Regulation and Nonsense-Mediated Decay. Cell Rep 2020, 32(2):107895. [PMID:32668236]
  3. Cuevas IC, Sahoo SS, Kumar A, Zhang H, Westcott J, Aguilar M, Cortez JD, Sullivan SA, Xing C, Hayes DN et al: Fbxw7 is a driver of uterine carcinosarcoma by promoting epithelial-mesenchymal transition. Proc Natl Acad Sci U S A 2019, 116(51):25880-25890. [PMID:31772025]
  4. Acharya A, Berry DC, Zhang H, Jiang Y, Jones BT, Hammer RE, Graff JM, Mendell JT: miR-26 suppresses adipocyte progenitor differentiation and fat production by targeting Fbxl19. Genes Dev 2019, 33(19-20):1367-1380. [PMID:31488578]
  5. Zhang H, Zhan X, Brugarolas J, Xie Y: DEFOR: depth- and frequency-based somatic copy number alteration detector. Bioinformatics 2019, 35(19):3824-3825. [PMID:30860569]
  6. Kopp F, Elguindy MM, Yalvac ME, Zhang H, Chen B, Gillett FA, Lee S, Sivakumar S, Yu H, Xie Y et al: PUMILIO hyperactivity drives premature aging of Norad-deficient mice. Elife 2019, 8. [PMID:30735131]
  7. Li HD, Cuevas I, Zhang M, Lu C, Alam MM, Fu YX, You MJ, Akbay EA, Zhang H, Castrillon DH: Polymerase-mediated ultramutagenesis in mice produces diverse cancers with high mutational load. J Clin Invest 2018. [PMID:30124468]
  8. Hunter RW, Liu Y, Manjunath H, Acharya A, Jones BT, Zhang H, Chen B, Ramalingam H, Hammer RE, Xie Y et al: Loss of Dis3l2 partially phenocopies Perlman syndrome in mice and results in up-regulation of Igf2 in nephron progenitor cells. Genes Dev 2018, 32(13-14):903-908. [PMID:29950491]
  9. Lu X, Peloso GM, Liu DJ, Wu Y, Zhang H, Zhou W, Li J, Tang CS, Dorajoo R, Li H et al: Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants that contribute to lipid levels and coronary artery disease. Nat Genet 2017, 49(12):1722-1730. [PMID:29083407]
  10. Liu DJ, Peloso GM, Yu H, Butterworth AS, Wang X, Mahajan A, Saleheen D, Emdin C, Alam D, Alves AC, …, Zhang H, …, et al: Exome-wide association study of plasma lipids in >300,000 individuals. Nat Genet 2017, 49(12):1758-1766. [PMID:29083408]
  11. Kraja AT, Cook JP, Warren HR, Surendran P, Liu C, Evangelou E, Manning AK, Grarup N, Drenos F, Sim X, …, Zhang H, …, et al: New Blood Pressure-Associated Loci Identified in Meta-Analyses of 475 000 Individuals. Circ Cardiovasc Genet 2017, 10(5). [PMID:29030403]
  12. Webb TR, Erdmann J, Stirrups KE, Stitziel NO, Masca NG, Jansen H, Kanoni S, Nelson CP, Ferrario PG, Konig IR …, Zhang H, et al: Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease. J Am Coll Cardiol 2017, 69(7):823-836. [PMID:28209224]
  13. Zhou W, Fritsche LG, Das S, Zhang H, Nielsen JB, Holmen OL, Chen J, Lin M, Elvestad MB, Hveem K et al: Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels. Genet Epidemiol 2017, 41(8):744-755. [PMID:28861891]
  14. Chen W, Hill H, Christie A, Kim MS, Holloman E, Pavia-Jimenez A, Homayoun F, Ma Y, Patel N, Yell P, …, Zhang H, …, et al: Targeting renal cell carcinoma with a HIF-2 antagonist. Nature 2016, 539(7627):112-117. [PMID:27595394]
  15. McCarthy S, Das S, Kretzschmar W, Delaneau O, Wood AR, Teumer A, Kang HM, Fuchsberger C, Danecek P, Sharp K et al: A reference panel of 64,976 haplotypes for genotype imputation. Nat Genet 2016, 48(10):1279-1283. [PMID:27548312]
  16. Stitziel NO, Stirrups KE, Masca NG, Erdmann J, Ferrario PG, König IR, Weeke PE, Webb TR, Auer PL, Schick UM: Coding variation in ANGPTL4, LPL, and SVEP1 and the risk of coronary disease. New England Journal of Medicine 2016, 374(12):1134-1144. [PMID:26934567]
  17. Feng S, Pistis G, Zhang H, Zawistowski M, Mulas A, Zoledziewska M, Holmen OL, Busonero F, Sanna S, Hveem K: Methods for Association Analysis and Meta‐Analysis of Rare Variants in Families. Genetic epidemiology 2015, 39(4):227-238. [PMID:25740221]
  18. Hu B, Jin J, Guo A-Y, Zhang H, Luo J, Gao G: GSDS 2.0: an upgraded gene feature visualization server. Bioinformatics 2014. [PMID:27595394]
  19. Crosby J, Peloso GM, Auer PL, Crosslin DR, Stitziel NO, Lange LA, Lu Y, Tang ZZ, Zhang H, Hindy G, et al. (2014) Loss-of-function mutations in APOC3, triglycerides, and coronary disease. The New England Journal of Medicine 371: 22-31. [PMID:24941081]
  20. Ganesh SK, Chasman DI, Larson MG, Guo X, Verwoert G, Bis JC, Gu X, Smith AV, Yang M-L, Zhang Y: Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations. The American Journal of Human Genetics 2014, 95(1):49-65. [PMID:24975945]
  21. Liu DJ, Peloso GM, Zhan X, Holmen OL, Zawistowski M, Feng S, Nikpay M, Auer PL, Goel A, Zhang H: Meta-analysis of gene-level tests for rare variant association. Nature genetics 2014, 46(2):200-204. [PMID:24336170]
  22. Jin J, Zhang H, Kong L, Gao G, Luo J: PlantTFDB 3.0: a portal for the functional and evolutionary study of plant transcription factors. Nucleic Acids Research 2013, 42:D1182-1187. [PMID:24174544]
  23. Wang J, Kong L, Zhao S, Zhang H, Tang L, et al: Rice-Map: a new-generation rice genome browser. BMC genomics 2011, 12: 165. [PMID:21450055]
  24. He Q-L, Cui S-J, Gu J-L, Zhang H, Wang M-X, et al: Analysis of floral transcription factors from Lycoris longituba. Genomics 2010, 96:119-127. [PMID:20406677]
  25. Shen L, Gao G, Zhang Y, Zhang H, Ye Z, et al. A single amino acid substitution confers enhanced methylation activity of mammalian Dnmt3b on chromatin DNA. Nucleic Acids Research 2010, 38:6054-6064. [PMID:20507910]
  26. Li Z, Zhang H, Ge S, Gu X, Gao G, et al: Expression pattern divergence of duplicated genes in rice. BMC Bioinformatics 2009, 10:S8. [PMID:19534757]
  27. Guo A-Y, Chen X, Gao G, Zhang H, Zhu Q-H, et al: PlantTFDB: a comprehensive plant transcription factor database. Nucleic Acids Research 2008, 36: D966-D969. [PMID:17933783]

Book Chapter

  1. He K, Guo A, Gao G, Zhu Q, Liu X, Zhang H, Chen X, Gu X, Luo J. (2010) Computational identification of plant transcription factors and the construction of the PlantTFDB database. Computational Biology of Transcription Factor Binding: Springer. pp. 351-368. [PMID:20827602]