Tiebin Liu

Summary

Affiliation: Centers for Disease Control and Prevention
Country: USA

Publications

  1. ncbi The association between family history of asthma and the prevalence of asthma among US adults: National Health and Nutrition Examination Survey, 1999-2004
    Tiebin Liu
    Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
    Genet Med 11:323-8. 2009
  2. ncbi Influence of familial risk on diabetes risk-reducing behaviors among U.S. adults without diabetes
    Man Huei Chang
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
    Diabetes Care 34:2393-9. 2011
  3. ncbi Racial/ethnic variation in the association of lipid-related genetic variants with blood lipids in the US adult population
    Man Huei Chang
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    Circ Cardiovasc Genet 4:523-33. 2011
  4. ncbi Discriminative accuracy of genomic profiling comparing multiplicative and additive risk models
    Ramal Moonesinghe
    Office of Minority Health and Health Disparities, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
    Eur J Hum Genet 19:180-5. 2011
  5. ncbi Improvements in ability to detect undiagnosed diabetes by using information on family history among adults in the United States
    Quanhe Yang
    Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    Am J Epidemiol 171:1079-89. 2010
  6. ncbi Sodium and potassium intake and mortality among US adults: prospective data from the Third National Health and Nutrition Examination Survey
    Quanhe Yang
    Division for Heart Diseases and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Mail Stop K 47, Atlanta, GA 30341, USA
    Arch Intern Med 171:1183-91. 2011
  7. ncbi Prospective study of methylenetetrahydrofolate reductase (MTHFR) variant C677T and risk of all-cause and cardiovascular disease mortality among 6000 US adults
    Quanhe Yang
    Office of Public Health Genomics, CDC, Atlanta, GA 30341, USA
    Am J Clin Nutr 95:1245-53. 2012
  8. ncbi Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
    Wei Yu
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
    BMC Med Inform Decis Mak 10:16. 2010
  9. ncbi Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases
    Wei Yu
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
    BMC Bioinformatics 9:528. 2008
  10. ncbi Evaluation of the discriminative accuracy of genomic profiling in the prediction of common complex diseases
    Ramal Moonesinghe
    Office of Minority Health and Health Disparities, Centers for Disease Control and Prevention, Mailstop E 67, 1600 Clifton Road, NE, Atlanta, GA 30333, USA
    Eur J Hum Genet 18:485-9. 2010

Detail Information

Publications16

  1. ncbi The association between family history of asthma and the prevalence of asthma among US adults: National Health and Nutrition Examination Survey, 1999-2004
    Tiebin Liu
    Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
    Genet Med 11:323-8. 2009
    ..To assess the overall prevalence of asthma and the association between family history of asthma and the prevalence of asthma among US adults...
  2. ncbi Influence of familial risk on diabetes risk-reducing behaviors among U.S. adults without diabetes
    Man Huei Chang
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
    Diabetes Care 34:2393-9. 2011
    ..To test the association of family history of diabetes with the adoption of diabetes risk-reducing behaviors and whether this association is strengthened by physician advice or commonly known factors associated with diabetes risk...
  3. ncbi Racial/ethnic variation in the association of lipid-related genetic variants with blood lipids in the US adult population
    Man Huei Chang
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    Circ Cardiovasc Genet 4:523-33. 2011
    ..The individual and the cumulative effect of these SNPs on blood lipids are largely unclear for the US population...
  4. ncbi Discriminative accuracy of genomic profiling comparing multiplicative and additive risk models
    Ramal Moonesinghe
    Office of Minority Health and Health Disparities, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
    Eur J Hum Genet 19:180-5. 2011
    ..Unraveling the exact mode of biological interaction is important when effect sizes of genetic variants are moderate at the least, to prevent the incorrect estimation of risks...
  5. ncbi Improvements in ability to detect undiagnosed diabetes by using information on family history among adults in the United States
    Quanhe Yang
    Centers for Disease Control and Prevention, Atlanta, GA 30333, USA
    Am J Epidemiol 171:1079-89. 2010
    ..Study findings suggest that adding family history of diabetes can provide significant improvements in detecting undiagnosed diabetes in the US population. Further research is needed to validate the authors' findings...
  6. ncbi Sodium and potassium intake and mortality among US adults: prospective data from the Third National Health and Nutrition Examination Survey
    Quanhe Yang
    Division for Heart Diseases and Stroke Prevention, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, Mail Stop K 47, Atlanta, GA 30341, USA
    Arch Intern Med 171:1183-91. 2011
    ..Few studies have examined joint effects of dietary sodium and potassium intake on risk of mortality...
  7. ncbi Prospective study of methylenetetrahydrofolate reductase (MTHFR) variant C677T and risk of all-cause and cardiovascular disease mortality among 6000 US adults
    Quanhe Yang
    Office of Public Health Genomics, CDC, Atlanta, GA 30341, USA
    Am J Clin Nutr 95:1245-53. 2012
    ....
  8. ncbi Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
    Wei Yu
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
    BMC Med Inform Decis Mak 10:16. 2010
    ..We illustrate the method to detect persons with diabetes and pre-diabetes in a cross-sectional representative sample of the U.S. population...
  9. ncbi Gene Prospector: an evidence gateway for evaluating potential susceptibility genes and interacting risk factors for human diseases
    Wei Yu
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
    BMC Bioinformatics 9:528. 2008
    ..The application, called Gene Prospector, also provides a comprehensive set of links to additional data sources...
  10. ncbi Evaluation of the discriminative accuracy of genomic profiling in the prediction of common complex diseases
    Ramal Moonesinghe
    Office of Minority Health and Health Disparities, Centers for Disease Control and Prevention, Mailstop E 67, 1600 Clifton Road, NE, Atlanta, GA 30333, USA
    Eur J Hum Genet 18:485-9. 2010
    ....
  11. ncbi The need for genetic variant naming standards in published abstracts of human genetic association studies
    Wei Yu
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA
    BMC Res Notes 2:56. 2009
    ..The consistent use of rs numbers in abstracts that report genetic associations would enhance knowledge synthesis and translation in this field...
  12. ncbi Racial/ethnic differences in association of fasting glucose-associated genomic loci with fasting glucose, HOMA-B, and impaired fasting glucose in the U.S. adult population
    Quanhe Yang
    Office of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
    Diabetes Care 33:2370-7. 2010
    ....
  13. ncbi Family history and prevalence of diabetes in the U.S. population: the 6-year results from the National Health and Nutrition Examination Survey (1999-2004)
    Rodolfo Valdez
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, 4770 Buford Hwy, NE, Mailstop K 89, Atlanta, GA 30341, USA
    Diabetes Care 30:2517-22. 2007
    ..We sought to test the association between stratified levels of familial risk of diabetes and the prevalence of the disease in the U.S. population...
  14. ncbi Prevalence, family history, and prevention of reported osteoporosis in U.S. women
    Julie Robitaille
    CDC, The National Center on Birth Defects and Developmental Disabilities, Atlanta, Georgia, USA
    Am J Prev Med 35:47-54. 2008
    ..S. women, examine whether osteoporosis risk factors account for this relationship, and evaluate the likelihood that women at high risk of osteoporosis due to family history report preventive behaviors...
  15. ncbi GAPscreener: an automatic tool for screening human genetic association literature in PubMed using the support vector machine technique
    Wei Yu
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA
    BMC Bioinformatics 9:205. 2008
    ..The GAPscreener, a free SVM-based software tool, can be used to assist in screening PubMed abstracts for human genetic association studies...
  16. ncbi Required sample size and nonreplicability thresholds for heterogeneous genetic associations
    Ramal Moonesinghe
    National Office of Public Health Genomics, Coordinating Center for Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA
    Proc Natl Acad Sci U S A 105:617-22. 2008
    ..Therefore, some true associations may not be practically possible to replicate with consistency, no matter how large studies are conducted. Efforts should be made to minimize between-study heterogeneity in targeted genetic effects...