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Zheng-Zheng (Jane) Tang, PhD

Assistant Professor

E-mail: z.tang@vanderbilt.edu
Phone: 615-343-5432
Fax: 615-343-4924
Office: 2525 West End, 11118A
Vanderbilt University School of Medicine
Department of Biostatistics
2525 West End, Suite 11000
Nashville, TN 37203

Research Interests

  • Statistical Genetics
  • Genetic Epidemiology
  • Association Analysis
  • Next Generation Sequencing Data Analysis

Curriculum Vitae

CV (last updated Aug 2014)

Vanderbilt Collaborations

  • Ingram Cancer Center

Published Papers

  1. Tang ZZ, Lin DY (2014). Meta-analysis of sequencing studies with heterogeneous genetic associations, Genetic Epidemiology.
  2. Crosby J, Peloso GM, Auer PL, Crosslin D, Stitziel NO, Lange LA, Lu K, Tang ZZ, ..., Reiner AP, Boerwinkle E, Kathiresan S (2014). Rare loss-of-function mutations in the APOC3 gene, plasma triglycerides, and risk for coronary heart disease, New England Journal of Medicine, accepted.
  3. Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang ZZ, ..., Willer CJ (2014). Novel rare and low frequency coding variants associated with LDL cholesterol, American Journal of Human Genetics, 94, 233-245.
  4. Tang ZZ, Lin DY (2013). MASS: meta-analysis of score statistics for sequencing studies, Bioinformatics, 29, 1803-1805.
  5. Lin DY, Zeng D, Tang ZZ (2013). Quantitative trait analysis in sequencing studies under trait-dependent sampling, Proceedings of the National Academy of Sciences of the United States of America, 110, 1224712252.
  6. Nelson MR, Wegmann D, Ehm MG, Kessner D, Jean PS, Verzilli C, Shen J, Tang Z, ..., Novembre J, Mooser V (2012). An abundance of rare functional variants in 202 drug target genes sequenced in 14,002 people, Science, 337, 100-104.
  7. Yang EY, Chambless L, Sharrett AR, Virani SS, Liu X, Tang Z, Boerwinkle E, Ballantyne CM, Nambi V (2012). Carotid arterial wall characteristics are associated with incident ischemic stroke but not coronary heart disease in the Atherosclerosis Risk in Communities (ARIC) study, Stroke, 43, 103-108.
  8. Lin DY, Tang ZZ (2011). A general framework for detecting disease associations with rare variants in sequencing studies, The American Journal of Human Genetics, 89, 354-367.
  9. Yang EY, Nambi V, Tang Z, Virani SS, Boerwinkle E, Hoogeveen RC, Astor BC, Mosley TH, Coresh J, Chambless L, Ballantyne CM (2009). Clinical implications of JUPITER (Justification for the Use of statins in Prevention: an Intervention Trial Evaluating Rosuvastatin) in a U.S. population insights from the ARIC (Atherosclerosis Risk in Communities) study, Journal of the American College of Cardiology, 54, 2388-2395.
  10. Sun W, Wright FA, Tang Z, Nordgard SH, Van Loo P, Yu T, Kristensen VN, Perou CM (2009). Integrated study of copy number states and genotype calls using high-density SNP arrays, Nucleic Acids Research, 37, 5365-5377.

Software Packages

MASS: A C program for the meta-analysis of sequencing studies.

SCORE-Seq: A C program which implements score statistics for detecting disease associations with rare variants in sequencing studies.

SCORE-SeqTDS: A C program for analyzing primary and secondary traits in sequencing studies under trait- dependent sampling.

genoCN: An R package for identifying copy number states and genotype calls using the SNP arrays data.

Topic attachments
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