Qiong Yang

Summary

Affiliation: Boston University
Country: USA

Publications

  1. Yang Q, Wu H, Guo C, Fox C. Analyze multivariate phenotypes in genetic association studies by combining univariate association tests. Genet Epidemiol. 2010;34:444-54 pubmed publisher
    ..We apply all the methods to GWAS of serum uric acid levels and gout with 550,000 single nucleotide polymorphisms in the Framingham Heart Study. ..
  2. Yang Q, Cui J, Chazaro I, Cupples L, Demissie S. Power and type I error rate of false discovery rate approaches in genome-wide association studies. BMC Genet. 2005;6 Suppl 1:S134 pubmed
    ..Further evaluation of the type I error rate and power of the FDR approaches for higher linkage disequilibrium and for haplotype analyses is warranted. ..
  3. Yang Q, Kathiresan S, Lin J, Tofler G, O Donnell C. Genome-wide association and linkage analyses of hemostatic factors and hematological phenotypes in the Framingham Heart Study. BMC Med Genet. 2007;8 Suppl 1:S12 pubmed
    ..Further study of additional strongly associated SNPs and linked regions may identify novel variants that influence the inter-individual variability in hemostatic factors and hematological phenotypes. ..
  4. Scharpf R, Mireles L, Yang Q, Köttgen A, Ruczinski I, Susztak K, et al. Copy number polymorphisms near SLC2A9 are associated with serum uric acid concentrations. BMC Genet. 2014;15:81 pubmed publisher
  5. Yang Q, Chazaro I, Cui J, Guo C, Demissie S, Larson M, et al. Genetic analyses of longitudinal phenotype data: a comparison of univariate methods and a multivariate approach. BMC Genet. 2003;4 Suppl 1:S29 pubmed
    ..Compared with the univariate approaches, the multivariate approach provided more information on temporal trends in gene effects at the cost of more complicated modelling and more intense computations. ..
  6. Cupples L, Yang Q, Demissie S, Copenhafer D, Levy D. Description of the Framingham Heart Study data for Genetic Analysis Workshop 13. BMC Genet. 2003;4 Suppl 1:S2 pubmed
  7. Larson P, Schlechter B, King C, Yang Q, Glass C, Mack C, et al. CDKN1C/p57kip2 is a candidate tumor suppressor gene in human breast cancer. BMC Cancer. 2008;8:68 pubmed publisher
    ..This expression decreases, at both the mRNA and protein level, in the large majority of breast cancers, and does not appear to be mediated by AI/LOH at the gene. Thus, CDKN1C may be a breast cancer tumor suppressor. ..