Alison A Motsinger

Summary

Affiliation: North Carolina State University
Country: USA

Publications

  1. ncbi request reprint Lymphoblastoid cell lines models of drug response: successes and lessons from this pharmacogenomic model
    J Jack
    Bioinformatics Research Center, 1 Lampe Drive, CB 7566, Ricks Hall, Raleigh, NC 27695, USA
    Curr Mol Med 14:833-40. 2014
  2. pmc Application of next generation sequencing to CEPH cell lines to discover variants associated with FDA approved chemotherapeutics
    Gunjan D Hariani
    Bioinformatics Research Center, North Carolina State University, 307 Ricks Hall, 1 Lampe Dr, Raleigh, NC 27695 CB7566, USA
    BMC Res Notes 7:360. 2014
  3. ncbi request reprint Comparing metabolomic and pathologic biomarkers alone and in combination for discriminating Alzheimer's disease from normal cognitive aging
    Alison A Motsinger-Reif
    Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
    Acta Neuropathol Commun 1:28. 2013
  4. pmc A comparison of association methods for cytotoxicity mapping in pharmacogenomics
    Chad Brown
    Department of Statistics, North Carolina State University Raleigh, NC, USA
    Front Genet 2:86. 2011
  5. pmc Multifactor dimensionality reduction as a filter-based approach for genome wide association studies
    Noffisat O Oki
    Bioinformatics Research Center, North Carolina State University Raleigh, NC, USA
    Front Genet 2:80. 2011
  6. pmc Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes
    Hongying Dai
    Department of Medical Research, Children s Mercy Hospital, 2401 Gillham Road, Kansas City, MO, 64108, USA
    BioData Min 5:3. 2012
  7. pmc Genome-wide association studies in pharmacogenomics: successes and lessons
    Alison A Motsinger-Reif
    Department of Statistics, Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695 7566, USA
    Pharmacogenet Genomics 23:383-94. 2013
  8. pmc Multivariate methods and software for association mapping in dose-response genome-wide association studies
    Chad C Brown
    Department of Statistics, North Carolina State University, Raleigh, NC, USA
    BioData Min 5:21. 2012
  9. pmc A comparison of internal model validation methods for multifactor dimensionality reduction in the case of genetic heterogeneity
    Jeffrey J Gory
    Bioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
    BMC Res Notes 5:623. 2012
  10. doi request reprint Interview: A discussion on genome-wide associations in pharmacogenomics
    Alison Motsinger-Reif
    307 Ricks Hall, 1 Lampe Drive, Bioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC 27695 7566, USA
    Pharmacogenomics 14:361-3. 2013

Collaborators

  • Howard L McLeod
  • Marylyn D Ritchie
  • Michael J Wagner
  • Pui Yan Kwok
  • Stacey J Winham
  • Nancy J Cox
  • Ronald M Krauss
  • Eric Jorgenson
  • Alison A Motsinger-Reif
  • Gunjan D Hariani
  • J Jack
  • Alison Motsinger-Reif
  • David M Reif
  • Hongying Dai
  • Jeffrey J Gory
  • Chad C Brown
  • Tammy M Havener
  • Chad Brown
  • Noffisat O Oki
  • Ernest T Lam
  • A Motsinger-Reif
  • D Rotroff
  • Ernest J Lam
  • Tammy Havener
  • Steven E Arnold
  • Wayne Matson
  • Swati Sharma
  • Oliver Fiehn
  • Rima Kaddurah-Daouk
  • Dina H Appleby
  • Dan M Roden
  • Richard Weinshilboum
  • John Q Trojanowski
  • P Murali Doraiswamy
  • Mary V Relling
  • Hongjie Zhu
  • Mitchel A Kling
  • Deanna L Kroetz
  • Madhusudan Bhandary
  • J Steven Leeder
  • Holly C Sweeney
  • Marisa Wong Medina
  • Roger Gaedigk
  • Mara Becker
  • Lorraine Everitt
  • Sushamna Deodhar
  • Nicholas E Hardison
  • Theresa J Fanelli
  • Anna C Davis

Detail Information

Publications19

  1. ncbi request reprint Lymphoblastoid cell lines models of drug response: successes and lessons from this pharmacogenomic model
    J Jack
    Bioinformatics Research Center, 1 Lampe Drive, CB 7566, Ricks Hall, Raleigh, NC 27695, USA
    Curr Mol Med 14:833-40. 2014
    ..The wealth of genomics data being produced using related and unrelated populations is creating many exciting opportunities leading to new insights into the genetic contribution and heritability of drug response. ..
  2. pmc Application of next generation sequencing to CEPH cell lines to discover variants associated with FDA approved chemotherapeutics
    Gunjan D Hariani
    Bioinformatics Research Center, North Carolina State University, 307 Ricks Hall, 1 Lampe Dr, Raleigh, NC 27695 CB7566, USA
    BMC Res Notes 7:360. 2014
    ..In this article, we called variants across 95 cell lines and performed association analysis for cytotoxic response using the Family Based Association Testing method and software...
  3. ncbi request reprint Comparing metabolomic and pathologic biomarkers alone and in combination for discriminating Alzheimer's disease from normal cognitive aging
    Alison A Motsinger-Reif
    Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
    Acta Neuropathol Commun 1:28. 2013
    ..This would aid intervention trials designed to slow the progression of AD by increasing diagnostic certainty, and provide new pathophysiologic clues and potential drug targets...
  4. pmc A comparison of association methods for cytotoxicity mapping in pharmacogenomics
    Chad Brown
    Department of Statistics, North Carolina State University Raleigh, NC, USA
    Front Genet 2:86. 2011
    ..The ANOVA-based method was found to be the most robust across alternatives and dosage sets for power in detecting differences between genotypes...
  5. pmc Multifactor dimensionality reduction as a filter-based approach for genome wide association studies
    Noffisat O Oki
    Bioinformatics Research Center, North Carolina State University Raleigh, NC, USA
    Front Genet 2:80. 2011
    ..The results of this study demonstrate the potential of MDR as a filter to detect gene-gene interactions in GWAS studies...
  6. pmc Global tests of P-values for multifactor dimensionality reduction models in selection of optimal number of target genes
    Hongying Dai
    Department of Medical Research, Children s Mercy Hospital, 2401 Gillham Road, Kansas City, MO, 64108, USA
    BioData Min 5:3. 2012
    ..abstract:..
  7. pmc Genome-wide association studies in pharmacogenomics: successes and lessons
    Alison A Motsinger-Reif
    Department of Statistics, Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina 27695 7566, USA
    Pharmacogenet Genomics 23:383-94. 2013
    ..As genotyping technology has progressed, genome-wide association studies (GWAS) have matured into efficient and effective tools for mapping genes underlying human phenotypes...
  8. pmc Multivariate methods and software for association mapping in dose-response genome-wide association studies
    Chad C Brown
    Department of Statistics, North Carolina State University, Raleigh, NC, USA
    BioData Min 5:21. 2012
    ..However, previous studies may have over-simplified the complex differences in dose-response profiles between genotypes, resulting in a loss of power...
  9. pmc A comparison of internal model validation methods for multifactor dimensionality reduction in the case of genetic heterogeneity
    Jeffrey J Gory
    Bioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
    BMC Res Notes 5:623. 2012
    ..We hypothesize that another internal model validation method known as a three-way split will be better at detecting heterogeneity models...
  10. doi request reprint Interview: A discussion on genome-wide associations in pharmacogenomics
    Alison Motsinger-Reif
    307 Ricks Hall, 1 Lampe Drive, Bioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC 27695 7566, USA
    Pharmacogenomics 14:361-3. 2013
    ..In particular, she is focused on methods to detect gene-gene and gene-environment interactions in large-scale genomic data...
  11. pmc An R package implementation of multifactor dimensionality reduction
    Stacey J Winham
    Department of Statistics, North Carolina State University, Raleigh NC 27695, USA
    BioData Min 4:24. 2011
    ..abstract:..
  12. pmc Grammatical evolution decision trees for detecting gene-gene interactions
    Alison A Motsinger-Reif
    Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA 27695
    BioData Min 3:8. 2010
    ..This challenge is amplified by recent advances in genotyping technology, as the number of potential predictor variables is rapidly increasing...
  13. pmc Power of grammatical evolution neural networks to detect gene-gene interactions in the presence of error
    Alison A Motsinger-Reif
    Bioinformatics Research Center, Department of Statistics, North Carolina State University, Raleigh, NC 27695, USA
    BMC Res Notes 1:65. 2008
    ..Additionally, we compare the performance of GENN to that of another computational method - Multifactor Dimensionality Reduction (MDR)...
  14. pmc Exploring epistasis in candidate genes for rheumatoid arthritis
    Marylyn D Ritchie
    Department of Molecular Physiology and Biophysics, Center for Human Genetics Research, Vanderbilt University Medical Center, 21st Avenue South and Garland Avenue, Nashville, Tennessee 37232, USA
    BMC Proc 1:S70. 2007
    ..This comparison should be extended in future studies with both simulated and real data...
  15. pmc A comparison of multifactor dimensionality reduction and L1-penalized regression to identify gene-gene interactions in genetic association studies
    Stacey Winham
    North Carolina State University, NC, USA
    Stat Appl Genet Mol Biol 10:Article 4. 2011
    ..These results provide guidance of when each approach might be best suited for detecting and characterizing interactions with different mechanisms...
  16. ncbi request reprint Novel methods for detecting epistasis in pharmacogenomics studies
    Alison A Motsinger
    North Carolina State University, Bioinformatics Research Center, Department of Statistics, Raleigh, NC 27695, USA
    Pharmacogenomics 8:1229-41. 2007
    ..The overall goal of this paper is to aid researchers in developing an analysis plan that accounts for gene-gene and gene-environment in their own work...