Karen N Conneely

Summary

Affiliation: Emory University
Country: USA

Publications

  1. pmc Genome-wide analysis validates aberrant methylation in fragile X syndrome is specific to the FMR1 locus
    Reid S Alisch
    Departments of Human Genetics, Emory University School of Medicine, 615 Michael Street, Atlanta, GA 30322, USA
    BMC Med Genet 14:18. 2013
  2. pmc Human longevity and common variations in the LMNA gene: a meta-analysis
    Karen N Conneely
    Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
    Aging Cell 11:475-81. 2012
  3. pmc Meta-analysis of genetic association studies and adjustment for multiple testing of correlated SNPs and traits
    Karen N Conneely
    Department of Human Genetics, Emory University, Atlanta, Georgia 30322, USA
    Genet Epidemiol 34:739-46. 2010
  4. pmc So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests
    Karen N Conneely
    Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, USA
    Am J Hum Genet 81:1158-68. 2007

Collaborators

Detail Information

Publications4

  1. pmc Genome-wide analysis validates aberrant methylation in fragile X syndrome is specific to the FMR1 locus
    Reid S Alisch
    Departments of Human Genetics, Emory University School of Medicine, 615 Michael Street, Atlanta, GA 30322, USA
    BMC Med Genet 14:18. 2013
    ..Although a dramatic increase in DNA methylation of the FMR1 full mutation allele is well documented, the extent to which these changes affect DNA methylation throughout the rest of the genome has gone unexplored...
  2. pmc Human longevity and common variations in the LMNA gene: a meta-analysis
    Karen N Conneely
    Department of Human Genetics, Emory University School of Medicine, Atlanta, GA 30322, USA
    Aging Cell 11:475-81. 2012
    ..18, P=7.5 × 10(-4) , multiple-testing-adjusted P=0.037). These results suggest that LMNA variants may play a role in human lifespan...
  3. pmc Meta-analysis of genetic association studies and adjustment for multiple testing of correlated SNPs and traits
    Karen N Conneely
    Department of Human Genetics, Emory University, Atlanta, Georgia 30322, USA
    Genet Epidemiol 34:739-46. 2010
    ..We show through simulation that our methods accurately control the rate of type I error and achieve improved power over multiple testing adjustments that do not account for correlation between SNPs or traits...
  4. pmc So many correlated tests, so little time! Rapid adjustment of P values for multiple correlated tests
    Karen N Conneely
    Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, USA
    Am J Hum Genet 81:1158-68. 2007
    ..999) between P(ACT) and the corresponding permutation-based P values, achieving the same precision as permutation testing but thousands of times faster...