Remi Kazma

Summary

Affiliation: University of California San Francisco
Location: San Francisco, United States
URL: https://sites.google.com/site/remikazma/

Publications

  1. ncbi Gene by environment interactions
    ROBERT C CULVERHOUSE
    Department of Medicine, Washington University School of Medicine, 600 South Euclid, St Louis, MO 63110, USA
    Genet Epidemiol 31:S68-74. 2007
  2. pmc Power comparison of different methods to detect genetic effects and gene-environment interactions
    Rémi Kazma
    Universite Paris Sud, UMR S 535, Villejuif, 94817, France
    BMC Proc 1:S74. 2007
  3. pmc On the use of sibling recurrence risks to select environmental factors liable to interact with genetic risk factors
    Rémi Kazma
    University of Paris Sud, Le Kremlin Bicetre, France
    Eur J Hum Genet 18:88-94. 2010
  4. doi Genetic association and gene-environment interaction: a new method for overcoming the lack of exposure information in controls
    Rémi Kazma
    Universite Paris Sud, Le Kremlin Bicetre, France
    Am J Epidemiol 173:225-35. 2011
  5. pmc Genome-wide association study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe
    Emmanuelle Genin
    INSERM U, Paris, France
    Orphanet J Rare Dis 6:52. 2011
  6. pmc Population-based and family-based designs to analyze rare variants in complex diseases
    Rémi Kazma
    Department of Epidemiology and Biostatistics and Institute for Human Genetics, University of California, San Francisco, CA 94143 3110, USA
    Genet Epidemiol 35:S41-7. 2011
  7. pmc Use of principal components to aggregate rare variants in case-control and family-based association studies in the presence of multiple covariates
    Rémi Kazma
    Department of Epidemiology and Biostatistics and Institute for Human Genetics, University of California San Francisco, 1450 Third Street, Box 3110, San Francisco, CA 94148 3110, USA
    BMC Proc 5:S29. 2011
  8. pmc Lung cancer and DNA repair genes: multilevel association analysis from the International Lung Cancer Consortium
    Rémi Kazma
    Universite Paris Sud, Villejuif, France
    Carcinogenesis 33:1059-64. 2012

Detail Information

Publications8

  1. ncbi Gene by environment interactions
    ROBERT C CULVERHOUSE
    Department of Medicine, Washington University School of Medicine, 600 South Euclid, St Louis, MO 63110, USA
    Genet Epidemiol 31:S68-74. 2007
    ..A related but distinct goal is to characterize an interaction (e.g. to determine if the interaction is significant)...
  2. pmc Power comparison of different methods to detect genetic effects and gene-environment interactions
    Rémi Kazma
    Universite Paris Sud, UMR S 535, Villejuif, 94817, France
    BMC Proc 1:S74. 2007
    ..The case-only design exhibits a 95% power to detect G x E interaction but the type I error rate is increased...
  3. pmc On the use of sibling recurrence risks to select environmental factors liable to interact with genetic risk factors
    Rémi Kazma
    University of Paris Sud, Le Kremlin Bicetre, France
    Eur J Hum Genet 18:88-94. 2010
    ....
  4. doi Genetic association and gene-environment interaction: a new method for overcoming the lack of exposure information in controls
    Rémi Kazma
    Universite Paris Sud, Le Kremlin Bicetre, France
    Am J Epidemiol 173:225-35. 2011
    ..Interestingly, it even has better power than the joint test requiring full knowledge of the environmental information in both cases and controls...
  5. pmc Genome-wide association study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe
    Emmanuelle Genin
    INSERM U, Paris, France
    Orphanet J Rare Dis 6:52. 2011
    ..Stevens-Johnson syndrome (SJS) and Toxic Epidermal Necrolysis (TEN) are rare but extremely severe cutaneous adverse drug reactions in which drug-specific associations with HLA-B alleles were described...
  6. pmc Population-based and family-based designs to analyze rare variants in complex diseases
    Rémi Kazma
    Department of Epidemiology and Biostatistics and Institute for Human Genetics, University of California, San Francisco, CA 94143 3110, USA
    Genet Epidemiol 35:S41-7. 2011
    ..However, as of today, the main limitation is still the high cost of next-generation sequencing...
  7. pmc Use of principal components to aggregate rare variants in case-control and family-based association studies in the presence of multiple covariates
    Rémi Kazma
    Department of Epidemiology and Biostatistics and Institute for Human Genetics, University of California San Francisco, 1450 Third Street, Box 3110, San Francisco, CA 94148 3110, USA
    BMC Proc 5:S29. 2011
    ..The two methods provide a fast way to analyze simultaneously rare and common variants at the gene level while adjusting for covariates. However, further evaluation of the statistical efficiency of this approach is warranted...
  8. pmc Lung cancer and DNA repair genes: multilevel association analysis from the International Lung Cancer Consortium
    Rémi Kazma
    Universite Paris Sud, Villejuif, France
    Carcinogenesis 33:1059-64. 2012
    ..This first international pooled analysis of a large dataset unravels the role of specific DNA repair pathways in LC and highlights the importance of accounting for gene and pathway effects when studying LC...