Christopher A Cassa

Summary

Affiliation: Massachusetts Institute of Technology
Country: USA

Publications

  1. pmc Large numbers of genetic variants considered to be pathogenic are common in asymptomatic individuals
    Christopher A Cassa
    Brigham and Women s Hospital, Division of Genetics Boston, Massachusetts, USA
    Hum Mutat 34:1216-20. 2013
  2. pmc A novel, privacy-preserving cryptographic approach for sharing sequencing data
    Christopher A Cassa
    Division of Genetics, Brigham and Women s Hospital, Boston, MA 02215, USA
    J Am Med Inform Assoc 20:69-76. 2013
  3. pmc Disclosing pathogenic genetic variants to research participants: quantifying an emerging ethical responsibility
    Christopher A Cassa
    Children s Hospital Informatics Program, Children s Hospital Boston, Boston, Massachusetts 02115, USA
    Genome Res 22:421-8. 2012
  4. pmc Re-identification of home addresses from spatial locations anonymized by Gaussian skew
    Christopher A Cassa
    Children s Hospital Informatics Program, Children s Hospital Boston, Boston, MA, USA
    Int J Health Geogr 7:45. 2008
  5. pmc Automated validation of genetic variants from large databases: ensuring that variant references refer to the same genomic locations
    Mark Y Tong
    Harvard Medical School, Boston, MA 02115, USA
    Bioinformatics 27:891-3. 2011
  6. pmc A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection
    Christopher A Cassa
    Children s Hospital Boston, Informatics Program Mandl Group, 1 Autumn Street, 721, Boston, MA 02215 5362 USA
    J Am Med Inform Assoc 13:160-5. 2006
  7. pmc An unsupervised classification method for inferring original case locations from low-resolution disease maps
    John S Brownstein
    Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, 1 Autumn St, Boston, MA, USA
    Int J Health Geogr 5:56. 2006

Collaborators

Detail Information

Publications7

  1. pmc Large numbers of genetic variants considered to be pathogenic are common in asymptomatic individuals
    Christopher A Cassa
    Brigham and Women s Hospital, Division of Genetics Boston, Massachusetts, USA
    Hum Mutat 34:1216-20. 2013
    ..01 (4.6%) and 2,837 variants with MAF ≥ 0.05 (3.5%). This indicates that many of these variants may be erroneous findings or have lower penetrance than previously expected...
  2. pmc A novel, privacy-preserving cryptographic approach for sharing sequencing data
    Christopher A Cassa
    Division of Genetics, Brigham and Women s Hospital, Boston, MA 02215, USA
    J Am Med Inform Assoc 20:69-76. 2013
    ..We present a cryptographic scheme to securely transmit externally generated sequence data which does not require any patient identifiers, public key infrastructure, or the transmission of passwords...
  3. pmc Disclosing pathogenic genetic variants to research participants: quantifying an emerging ethical responsibility
    Christopher A Cassa
    Children s Hospital Informatics Program, Children s Hospital Boston, Boston, Massachusetts 02115, USA
    Genome Res 22:421-8. 2012
    ..Additionally, if the growth rate from the previous 4 yr continues, we estimate that the total number of disease-associated variants will grow 37% over the next 4 yr...
  4. pmc Re-identification of home addresses from spatial locations anonymized by Gaussian skew
    Christopher A Cassa
    Children s Hospital Informatics Program, Children s Hospital Boston, Boston, MA, USA
    Int J Health Geogr 7:45. 2008
    ..If several such versions are available, each can be used to incrementally refine estimates of the original geocoded location...
  5. pmc Automated validation of genetic variants from large databases: ensuring that variant references refer to the same genomic locations
    Mark Y Tong
    Harvard Medical School, Boston, MA 02115, USA
    Bioinformatics 27:891-3. 2011
    ..The frequency of unresolved mutation annotations varied widely among the databases, ranging from 4 to 23%. A taxonomy of primary causes for unresolved mutations was produced...
  6. pmc A context-sensitive approach to anonymizing spatial surveillance data: impact on outbreak detection
    Christopher A Cassa
    Children s Hospital Boston, Informatics Program Mandl Group, 1 Autumn Street, 721, Boston, MA 02215 5362 USA
    J Am Med Inform Assoc 13:160-5. 2006
    ..Further, we measure the impact of the skew on detection of spatial clustering as measured by a spatial scanning statistic...
  7. pmc An unsupervised classification method for inferring original case locations from low-resolution disease maps
    John S Brownstein
    Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, 1 Autumn St, Boston, MA, USA
    Int J Health Geogr 5:56. 2006
    ..In this report, a method is presented to evaluate whether patient privacy is being breached in the publication of low-resolution disease maps...