Lili Ding

Summary

Affiliation: Cincinnati Children's Hospital Medical Center
Country: USA

Publications

  1. pmc Rank-based genome-wide analysis reveals the association of ryanodine receptor-2 gene variants with childhood asthma among human populations
    Lili Ding
    Department of Pediatrics, Cincinnati Children s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA
    Hum Genomics 7:16. 2013
  2. pmc Detection of associations with rare and common SNPs for quantitative traits: a nonparametric Bayes-based approach
    Lili Ding
    Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S10. 2011
  3. pmc Comparison of measures of marker informativeness for ancestry and admixture mapping
    Lili Ding
    Cincinnati Children s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
    BMC Genomics 12:622. 2011
  4. pmc Effect of population stratification analysis on false-positive rates for common and rare variants
    Hua He
    Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, Cincinnati, OH 45229, USA
    BMC Proc 5:S116. 2011
  5. pmc Population structure analysis using rare and common functional variants
    Tesfaye M Baye
    Division of Asthma Research, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S8. 2011
  6. pmc Family- and population-based designs identify different rare causal variants
    Xue Zhang
    Divisions of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S36. 2011
  7. pmc Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis
    Jessica G Woo
    Cincinnati Children s Hospital Medical Center, Cincinnati, OH 45229 3039, USA
    BMC Genet 13:75. 2012
  8. doi request reprint A novel method, the Variant Impact On Linkage Effect Test (VIOLET), leads to improved identification of causal variants in linkage regions
    Lisa J Martin
    1 Division of Human Genetics, Cincinnati Children s Hospital Medical Center, Cincinnati, OH, USA 2 Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, Cincinnati, OH, USA 3 Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, USA
    Eur J Hum Genet 22:243-7. 2014

Detail Information

Publications8

  1. pmc Rank-based genome-wide analysis reveals the association of ryanodine receptor-2 gene variants with childhood asthma among human populations
    Lili Ding
    Department of Pediatrics, Cincinnati Children s Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA
    Hum Genomics 7:16. 2013
    ..We performed genome-wide association studies on 859,790 SNPs genotyped in 527 affected offspring trios of European, African, and Hispanic ancestry using publically available asthma database in the Genotypes and Phenotypes database...
  2. pmc Detection of associations with rare and common SNPs for quantitative traits: a nonparametric Bayes-based approach
    Lili Ding
    Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S10. 2011
    ..We conclude that our method provides a novel and broadly applicable strategy for obtaining association results with a reasonably low proportion of false discovery and that it can be routinely used in resequencing studies...
  3. pmc Comparison of measures of marker informativeness for ancestry and admixture mapping
    Lili Ding
    Cincinnati Children s Hospital Medical Center, Department of Pediatrics, University of Cincinnati, Cincinnati, OH, USA
    BMC Genomics 12:622. 2011
    ....
  4. pmc Effect of population stratification analysis on false-positive rates for common and rare variants
    Hua He
    Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, Cincinnati, OH 45229, USA
    BMC Proc 5:S116. 2011
    ..Taken together, these results suggest that sequence-level data should be interpreted with caution, because extremely rare SNPs may exhibit sporadic association that is not controlled using PCA...
  5. pmc Population structure analysis using rare and common functional variants
    Tesfaye M Baye
    Division of Asthma Research, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S8. 2011
    ....
  6. pmc Family- and population-based designs identify different rare causal variants
    Xue Zhang
    Divisions of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
    BMC Proc 5:S36. 2011
    ..Family-based and population-based study designs can be complementary in the identification of rare causal variants and should be considered in future studies...
  7. pmc Quantitative criteria for improving performance of buccal DNA for high-throughput genetic analysis
    Jessica G Woo
    Cincinnati Children s Hospital Medical Center, Cincinnati, OH 45229 3039, USA
    BMC Genet 13:75. 2012
    ..phs.wfubmc.edu/public/index.cfm)...
  8. doi request reprint A novel method, the Variant Impact On Linkage Effect Test (VIOLET), leads to improved identification of causal variants in linkage regions
    Lisa J Martin
    1 Division of Human Genetics, Cincinnati Children s Hospital Medical Center, Cincinnati, OH, USA 2 Division of Biostatistics and Epidemiology, Cincinnati Children s Hospital Medical Center, Cincinnati, OH, USA 3 Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, USA
    Eur J Hum Genet 22:243-7. 2014
    ..In summary, VIOLET overcomes a barrier to gene discovery and thus may be broadly applicable to identify underlying genetic etiology for traits exhibiting linkage. ..