Iuliana Ionita-Laza

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. pmc Joint study of genetic regulators for expression traits related to breast cancer
    Tian Zheng
    Department of Statistics, Columbia University, New York, New York 10027, USA
    BMC Proc 1:S10. 2007
  2. pmc Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm
    Yuejing Ding
    Department of Statistics, Columbia University, New York, New York 10027, USA
    BMC Proc 1:S13. 2007
  3. pmc Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
    Am J Hum Genet 81:607-14. 2007
  4. doi request reprint On the analysis of copy-number variations in genome-wide association studies: a translation of the family-based association test
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts, USA
    Genet Epidemiol 32:273-84. 2008
  5. pmc On the frequency of copy number variants
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
    Bioinformatics 24:2350-5. 2008
  6. pmc Estimating the number of unseen variants in the human genome
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
    Proc Natl Acad Sci U S A 106:5008-13. 2009
  7. pmc Copy number variation genotyping using family information
    Jen hwa Chu
    Channing Division of Network Medicine, Brigham and Women s Hospital, MA, USA
    BMC Bioinformatics 14:157. 2013
  8. pmc Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
    Genomics 93:22-6. 2009
  9. pmc Family-based association tests for sequence data, and comparisons with population-based association tests
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY, USA
    Eur J Hum Genet 21:1158-62. 2013
  10. pmc Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY 10032, USA
    Am J Hum Genet 90:1002-13. 2012

Detail Information

Publications16

  1. pmc Joint study of genetic regulators for expression traits related to breast cancer
    Tian Zheng
    Department of Statistics, Columbia University, New York, New York 10027, USA
    BMC Proc 1:S10. 2007
    ..Interesting inter-regulation patterns and significant overlaps of genetic regulators between transcripts were observed. Interaction association results returned more expression quantitative trait locus hotspots that are significant...
  2. pmc Constructing gene association networks for rheumatoid arthritis using the backward genotype-trait association (BGTA) algorithm
    Yuejing Ding
    Department of Statistics, Columbia University, New York, New York 10027, USA
    BMC Proc 1:S13. 2007
    ..For the first time, we report possible interactions between single-nucleotide polymorphisms/genes, which may be useful for biological interpretation...
  3. pmc Genomewide weighted hypothesis testing in family-based association studies, with an application to a 100K scan
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, Boston, MA 02115, USA
    Am J Hum Genet 81:607-14. 2007
    ..The proposed method is of general applicability; it extends to any setting in which prior, independent ranking of hypotheses is available...
  4. doi request reprint On the analysis of copy-number variations in genome-wide association studies: a translation of the family-based association test
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, Massachusetts, USA
    Genet Epidemiol 32:273-84. 2008
    ..A software implementation of the approach is freely available at http://www.hsph.harvard.edu/research/iuliana-ionita/software. The approach has also been completely integrated in the PBAT software package...
  5. pmc On the frequency of copy number variants
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
    Bioinformatics 24:2350-5. 2008
    ..We employ a two-step procedure for the CNV frequency estimation process. We use family information a posteriori to select only the most reliable CNV regions, i.e. those showing high rates of Mendelian transmission...
  6. pmc Estimating the number of unseen variants in the human genome
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
    Proc Natl Acad Sci U S A 106:5008-13. 2009
    ..Finally, our results also show a much higher diversity in environmental response genes compared with the average genome, especially in African populations...
  7. pmc Copy number variation genotyping using family information
    Jen hwa Chu
    Channing Division of Network Medicine, Brigham and Women s Hospital, MA, USA
    BMC Bioinformatics 14:157. 2013
    ....
  8. pmc Genetic association analysis of copy-number variation (CNV) in human disease pathogenesis
    Iuliana Ionita-Laza
    Department of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, Boston, MA 02115, USA
    Genomics 93:22-6. 2009
    ..Instead, development of novel technical, statistical, and epidemiologic methods will be necessary to optimally capture this newly-appreciated form of genetic variation in a meaningful manner...
  9. pmc Family-based association tests for sequence data, and comparisons with population-based association tests
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY, USA
    Eur J Hum Genet 21:1158-62. 2013
    ..We show also an application to a small exome-sequencing family-based study on autism spectrum disorders. The tests are implemented in publicly available software. ..
  10. pmc Scan-statistic approach identifies clusters of rare disease variants in LRP2, a gene linked and associated with autism spectrum disorders, in three datasets
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY 10032, USA
    Am J Hum Genet 90:1002-13. 2012
    ....
  11. pmc Linkage disequilibrium mapping of the chromosome 6q21-22.31 bipolar I disorder susceptibility locus
    Jinbo Fan
    Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Boston, Massachusetts, USA
    Am J Med Genet B Neuropsychiatr Genet 153:29-37. 2010
    ..Further studies in larger samples are warranted to clarify which, if any, genes in the 6q region confer risk for bipolar disorder...
  12. pmc Rare variant analysis for family-based design
    Gourab De
    Department of Biostatistics, Harvard University, Boston, MA, USA
    PLoS ONE 8:e48495. 2013
    ..By construction, family-based tests are completely robust to population stratification; we show that our proposed methods remain valid even when population stratification is present...
  13. pmc Refinement of primate copy number variation hotspots identifies candidate genomic regions evolving under positive selection
    Omer Gokcumen
    Department of Pathology, Brigham and Women s Hospital, 75 Francis Street, Boston, MA 02115, USA
    Genome Biol 12:R52. 2011
    ..Copy number variants (CNVs), defined as losses and gains of segments of genomic DNA, are a major source of genomic variation...
  14. pmc Study designs for identification of rare disease variants in complex diseases: the utility of family-based designs
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, New York 10032, USA
    Genetics 189:1061-8. 2011
    ..In contrast, for complex diseases with large values of the sibling recurrence risk ratio, sequencing unselected affected individuals may be preferable...
  15. pmc Finding disease variants in Mendelian disorders by using sequence data: methods and applications
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY 10032, USA
    Am J Hum Genet 89:701-12. 2011
    ..0 × 10(-4) for the Freeman-Sheldon Syndrome gene, and 3.5 × 10(-5) for the Kabuki Syndrome gene...
  16. ncbi request reprint Using linkage and association to identify and model genetic effects: summary of GAW15 Group 4
    Qiong Yang
    Department of Biostatistics, Boston University School of Public Health, 715 Albany Street, Boston, MA 02118, USA
    Genet Epidemiol 31:S34-42. 2007
    ..Finally, modeling the disease using association evidence conditional on linkage may improve understanding of the etiology of disease...