Thomas J Hoffmann

Summary

Affiliation: University of California
Country: USA

Publications

  1. pmc Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection algorithm
    Thomas J Hoffmann
    Institute for Human Genetics, University of California, San Francisco, CA 94143 0794, USA
    Genomics 98:422-30. 2011
  2. 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
  3. pmc Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array
    Thomas J Hoffmann
    Institute for Human Genetics, University of California, San Francisco 94143 0794, CA, USA
    Genomics 98:79-89. 2011
  4. doi request reprint The impact of improved microarray coverage and larger sample sizes on future genome-wide association studies
    Karla J Lindquist
    Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158 9001, USA
    Genet Epidemiol 37:383-92. 2013

Detail Information

Publications4

  1. pmc Design and coverage of high throughput genotyping arrays optimized for individuals of East Asian, African American, and Latino race/ethnicity using imputation and a novel hybrid SNP selection algorithm
    Thomas J Hoffmann
    Institute for Human Genetics, University of California, San Francisco, CA 94143 0794, USA
    Genomics 98:422-30. 2011
    ..The arrays provide excellent genome-wide coverage and are valuable additions for large-scale GWA studies...
  2. 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...
  3. pmc Next generation genome-wide association tool: design and coverage of a high-throughput European-optimized SNP array
    Thomas J Hoffmann
    Institute for Human Genetics, University of California, San Francisco 94143 0794, CA, USA
    Genomics 98:79-89. 2011
    ..At steady state, we have produced 462 million genotypes per week for each Axiom system. The new array provides a valuable addition to the repertoire of tools for large scale genome-wide association studies...
  4. doi request reprint The impact of improved microarray coverage and larger sample sizes on future genome-wide association studies
    Karla J Lindquist
    Department of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158 9001, USA
    Genet Epidemiol 37:383-92. 2013
    ..Furthermore, increasing sample size has a much larger impact than increasing coverage on the potential of future GWAS to detect additional SNP-disease associations and heritability...