Emily Holzinger, Ph.D.

Affiliations: 
Genetics Vanderbilt University, Nashville, TN 
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http://www.researchprofiles.collexis.com/jad/expert.asp?u_id=95
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"Emily Holzinger"
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Cross-listing: Computational Biology Tree

Parents

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William S. Bush grad student Vanderbilt (Computational Biology Tree)
Marylyn D. Ritchie grad student (Computational Biology Tree)
Jonathan L. Haines grad student 2013 Vanderbilt
 (Development, optimization, and application of a meta-dimensional analysis pipeline using in silico and natural data sets.)
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Publications

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Shen J, Mehrotra DV, Dorr MB, et al. (2020) Genetic Association Reveals Protection against Recurrence of Infection with Bezlotoxumab Treatment. Msphere. 5
Holzinger ER, Verma SS, Moore CB, et al. (2017) Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals. Biodata Mining. 10: 25
De R, Verma SS, Holzinger E, et al. (2016) Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts. Human Genetics
Ioannidis NM, Rothstein JH, Pejaver V, et al. (2016) REVEL: an Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants. American Journal of Human Genetics
Szymczak S, Holzinger E, Dasgupta A, et al. (2016) r2VIM: A new variable selection method for random forests in genome-wide association studies. Biodata Mining. 9: 7
De R, Verma SS, Drenos F, et al. (2015) Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR). Biodata Mining. 8: 41
Pendergrass SA, Verma SS, Hall MA, et al. (2015) Next-generation analysis of cataracts: determining knowledge driven gene-gene interactions using biofilter, and gene-environment interactions using the Phenx Toolkit*. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 495-505
Holzinger ER, Szymczak S, Dasgupta A, et al. (2015) Variable selection method for the identification of epistatic models. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 195-206
Ritchie MD, Holzinger ER, Li R, et al. (2015) Methods of integrating data to uncover genotype-phenotype interactions. Nature Reviews. Genetics. 16: 85-97
Kallianpur AR, Jia P, Ellis RJ, et al. (2014) Genetic variation in iron metabolism is associated with neuropathic pain and pain severity in HIV-infected patients on antiretroviral therapy. Plos One. 9: e103123
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