Iuliana Ionita-Laza

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. pmc Sequence kernel association tests for the combined effect of rare and common variants
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY 10032, USA Electronic address
    Am J Hum Genet 92:841-53. 2013
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. pmc On the optimal design of genetic variant discovery studies
    Iuliana Ionita-Laza
    Columbia University, USA
    Stat Appl Genet Mol Biol 9:Article33. 2010
  8. pmc A new testing strategy to identify rare variants with either risk or protective effect on disease
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, New York, United States of America
    PLoS Genet 7:e1001289. 2011
  9. pmc Scan statistic-based analysis of exome sequencing data identifies FAN1 at 15q13.3 as a susceptibility gene for schizophrenia and autism
    Iuliana Ionita-Laza
    Departments of Biostatistics, Psychiatry, Neuroscience, Physiology, and Cellular Biophysics, Columbia University, New York, NY 10032
    Proc Natl Acad Sci U S A 111:343-8. 2014
  10. 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

Detail Information

Publications24

  1. pmc Sequence kernel association tests for the combined effect of rare and common variants
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, NY 10032, USA Electronic address
    Am J Hum Genet 92:841-53. 2013
    ..We next show applications to sequencing studies for Crohn disease and autism spectrum disorders. The proposed tests have been incorporated into the software package SKAT...
  2. 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
    ....
  3. 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
    ....
  4. 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...
  5. 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...
  6. 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...
  7. pmc On the optimal design of genetic variant discovery studies
    Iuliana Ionita-Laza
    Columbia University, USA
    Stat Appl Genet Mol Biol 9:Article33. 2010
    ..In particular, we show the extent to which combining data from multiple populations in a discovery study may increase the number of genetic variants identified relative to studies on single populations...
  8. pmc A new testing strategy to identify rare variants with either risk or protective effect on disease
    Iuliana Ionita-Laza
    Department of Biostatistics, Columbia University, New York, New York, United States of America
    PLoS Genet 7:e1001289. 2011
    ..An application to a recently published study on Type-1 Diabetes finds rare variants in gene IFIH1 to be protective against Type-1 Diabetes...
  9. pmc Scan statistic-based analysis of exome sequencing data identifies FAN1 at 15q13.3 as a susceptibility gene for schizophrenia and autism
    Iuliana Ionita-Laza
    Departments of Biostatistics, Psychiatry, Neuroscience, Physiology, and Cellular Biophysics, Columbia University, New York, NY 10032
    Proc Natl Acad Sci U S A 111:343-8. 2014
    ..3 locus for the associated psychiatric and neurodevelopmental phenotypes. FAN1 encodes a DNA repair enzyme, thus implicating abnormalities in DNA repair in the susceptibility to SCZ or ASD. ..
  10. 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...
  11. ncbi request reprint Loss-of-function variants in schizophrenia risk and SETD1A as a candidate susceptibility gene
    Atsushi Takata
    Department of Psychiatry, Columbia University Medical Center, New York, NY 10032, USA
    Neuron 82:773-80. 2014
    ..These findings highlight the contribution of LOF mutations to the genetic architecture of schizophrenia and provide important insights into disease pathogenesis...
  12. 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...
  13. 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...
  14. 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. ..
  15. 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...
  16. 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...
  17. 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...
  18. 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...
  19. pmc Does rate of progression run in essential tremor families? Slower vs. faster progressors
    Elan D Louis
    GH Sergievsky Center, College of Physicians and Surgeons, Columbia University, New York, NY, USA
    Parkinsonism Relat Disord 19:363-6. 2013
    ..Do ET families differ from one another with respect to rate of progression? Are some families slower progressors and other families faster progressors? We are unaware of published data...
  20. 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...
  21. pmc On quality control measures in genome-wide association studies: a test to assess the genotyping quality of individual probands in family-based association studies and an application to the HapMap data
    David W Fardo
    Department of Biostatistics, University of Kentucky College of Public Health, Lexington, Kentucky, United States of America
    PLoS Genet 5:e1000572. 2009
    ..It identifies probands with insufficient genotyping quality that were not removed by standard quality control filtering...
  22. 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...
  23. pmc De novo gene mutations highlight patterns of genetic and neural complexity in schizophrenia
    Bin Xu
    Department of Psychiatry, Columbia University, New York, NY, USA
    Nat Genet 44:1365-9. 2012
    ..Our results help define the genomic and neural architecture of schizophrenia...
  24. pmc Domain-dependent clustering and genotype-phenotype analysis of LGI1 mutations in ADPEAF
    Yuan Yuan Ho
    Department of Psychiatry, Columbia University, New York, NY, USA
    Neurology 78:563-8. 2012
    ....