Jim Anthony
David Barondess
Ahnalee Brincks
  Simone Charles
Honglei Chen
  Gustavo de los Campos
Debra Furr-Holden
Joseph Gardiner
Kelly Hirko
Claudia Holzman
Carol Janney
  Allan Kozlowski
Jean Kerver
Chenxi Li
Qing Lu
Zhehui Luo
Claire Margerison-Zilko
Janet Osuch
Nigel Paneth
Dorothy Pathak
James Pivarnik
Mat Reeves
A.Mahdi. Saeed
Nicole Talge
David Todem
Ana Vázquez
Elizabeth (Betsy) Wasilevich
Lixin Zhang
  Adjunct Faculty
  Emeritus Faculty


  David Barondess 


  Madeleine Lenski


Ana Inés Vázquez, PhD

Assistant Professor of Epidemiology and Biostatistics

Department of Epidemiology and Biostatistics
Michigan State University
909 Fee Road Room B601
East Lansing, MI  48824

QuantGen Group


Ana Vazquez completed her postdoctoral work in the Section on Statistical Genetics and Office of Energetics at UAB after graduating with an M.S. and PhD in Quantitative Genetics and a Certificate in Bioinformatics at the University of Wisconsin-Madison. Her areas of interest include the development and use of genomic-based statistical methods for human health, the genetic architecture of complex traits, and the investigation of the effects of obesity on risk of disease. Some of her current projects include the examination of shrinkage methods in models where dense molecular markers are used to predict phenotypic outcomes. One such project focuses on marker selection strategies to improve the predictive ability of genetic predisposition to diabetes. She is also involved in research examining the properties and performance of these models in unrelated human populations and has examined the effects of the number of markers in the predictive ability of dense arrays of variants for both human and animal populations, which has allowed her to evaluate which factors affect genomic predictions. Her most recent project involves the development of new multivariate analysis approaches of correlated phenotypes, including obesity and other body composition characteristics of humans using genomic data to uncover common genetic roots between these traits. In another current project, she is assessing predictive genomic-based models for the prediction of treatment response, cancer recurrence, and metastasis development in cancer patients, with a greater focus on cutting-edge statistical and computational methodologies.

Selected Publications

Vazquez A.I., Wiener H, Shrestha S, Tiwari H.K., de los Campos, G., 2014. Integration of Multi-Layer Omic Data for Prediction of Disease Risk. WCGALP. 1-6.

2.S. Aslibekyan, H.W. Wiener, G. Wu, D. Zhi, S. Shrestha, G. de los Campos, A.I. Vazquez. Estimating Proportions of Explained Variance: a Comparison of Whole Genome Subsets, In: The Genetic Analysis Workshops 18, BMC Preceding, 8 (Suppl 1): S102. 2014. [PMCID: In Process].

3.I.F. Sørensen, A.I. Vazquez, M.R. Irvin, P. Sørensen, D.R. Barry, F.E. Charles, E. Boerwinkle, J.H. Eckfeldt, D.K. Arnett, 2014. Pharmacogenetic effects of “candidate gene complexes” on cardiovascular disease outcomes in response to antihypertensive treatments in the GenHAT study. Pharmacogenetics and Genomics, [doi: 10.1097/FPC.0000000000000088], In press.

4.E.J. Dhurandhar, A. I. Vazquez, G. Argyropoulos, and D.B. Allison. 2014. Prediction of Complex Traits With Genetic Information: Even Modest Prediction Accuracy Can Have Substantial Utility. Frontiers in Genetics, In Press.

5.A. Shendre, M.R. Irvin, B.E. Aouizerat, H.W. Wiener, A.I. Vazquez, K. Anastos, J. Lazar, C. Liu, R. Karim, N.A. Limdi, M.H. Cohen, E.T. Golub, D. Zhi, R.C. Kaplan, S. Shrestha. RYR3 gene variants in subclinical atherosclerosis among HIV-infected women in the Women’s Interagency HIV Study (WIHS), 2014. Artheriosclerosis; 233(2): 666-672.

6.Shendre, H.W. Wiener, D. Zhi, A.I. Vazquez, M.A. Portman, S. Shrestha. High-density Genotyping of Immune Loci in Kawasaki Disease and IVIG Treatment Response in European-American Case-parent Trio Study. Genes and immunity, 2014.

7.E.F. Libby, M. Azrad, L. Novak, A.I. Vazquez, T.R. Wilson, W. Demark-Wahnefried. Obesity is associated with higher 4E-BP1 expression in endometrial cancer, Current Biomarker Findings, Current Biomarker Findings 2014 4:1-7. [doi: 10.2147/CBF.S53530]

8.Y.C. Klimentidis, N.E. Wineinger, A.I. Vazquez, G. de los Campos. Multiple metabolic genetic risk scores and type 2 diabetes risk in three racial/ethnic groups. Journal of Clinical Endocrinology and Metabolism. 2014. J Clin Endocrinol Metab. 99(9):E1814-8. [doi: 10.1210/jc.2014-1818]