Shuo Jiao

Summary

Affiliation: Fred Hutchinson Cancer Research Center
Country: USA

Publications

  1. pmc SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
    Genet Epidemiol 37:452-64. 2013
  2. pmc Genome-wide search for gene-gene interactions in colorectal cancer
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
    PLoS ONE 7:e52535. 2012
  3. doi request reprint Probabilistic peak calling and controlling false discovery rate estimations in transcription factor binding site mapping from ChIP-seq
    Shuo Jiao
    Fred Hutchinson Cancer Institute, Seattle, WA, USA
    Methods Mol Biol 674:161-77. 2010
  4. pmc The use of imputed values in the meta-analysis of genome-wide association studies
    Shuo Jiao
    Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
    Genet Epidemiol 35:597-605. 2011
  5. pmc Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis
    Ulrike Peters
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
    Gastroenterology 144:799-807.e24. 2013
  6. ncbi request reprint Estimating the heritability of colorectal cancer
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
    Hum Mol Genet 23:3898-905. 2014
  7. pmc A pooled analysis of smoking and colorectal cancer: timing of exposure and interactions with environmental factors
    Jian Gong
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA 98109, USA
    Cancer Epidemiol Biomarkers Prev 21:1974-85. 2012
  8. pmc Characterization of gene-environment interactions for colorectal cancer susceptibility loci
    Carolyn M Hutter
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
    Cancer Res 72:2036-44. 2012
  9. pmc Meta-analysis of new genome-wide association studies of colorectal cancer risk
    Ulrike Peters
    Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
    Hum Genet 131:217-34. 2012
  10. pmc Imputation of coding variants in African Americans: better performance using data from the exome sequencing project
    Qing Duan
    Department of Genetics and Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA, Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA, Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Statistics and Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA, Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Epidemiology, University of Washington, Seattle, WA 98195, USA, Division of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA, Department of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20037, USA, Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, France
    Bioinformatics 29:2744-9. 2013

Detail Information

Publications13

  1. pmc SBERIA: set-based gene-environment interaction test for rare and common variants in complex diseases
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA
    Genet Epidemiol 37:452-64. 2013
    ....
  2. pmc Genome-wide search for gene-gene interactions in colorectal cancer
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
    PLoS ONE 7:e52535. 2012
    ..1) (nominal combined p = 2.51×10(-6); Bonferroni adjusted p = 0.03). Our study represents the first comprehensive search for GxG in CRC, and our results may provide new insight into the genetic etiology of CRC...
  3. doi request reprint Probabilistic peak calling and controlling false discovery rate estimations in transcription factor binding site mapping from ChIP-seq
    Shuo Jiao
    Fred Hutchinson Cancer Institute, Seattle, WA, USA
    Methods Mol Biol 674:161-77. 2010
    ..s Quantitative Enrichment of Sequence Tags (QuEST) software tool. We demonstrate the prediction of the human growth-associated binding protein (GABPalpha) based on ChIP-seq observations...
  4. pmc The use of imputed values in the meta-analysis of genome-wide association studies
    Shuo Jiao
    Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
    Genet Epidemiol 35:597-605. 2011
    ..Our results show that the performance of the inverse variance weight is always indistinguishable from the optimal weight and similar to or better than the other two methods...
  5. pmc Identification of Genetic Susceptibility Loci for Colorectal Tumors in a Genome-Wide Meta-analysis
    Ulrike Peters
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109 1024, USA
    Gastroenterology 144:799-807.e24. 2013
    ..Heritable factors contribute to the development of colorectal cancer. Identifying the genetic loci associated with colorectal tumor formation could elucidate the mechanisms of pathogenesis...
  6. ncbi request reprint Estimating the heritability of colorectal cancer
    Shuo Jiao
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
    Hum Mol Genet 23:3898-905. 2014
    ..26 × 10(-2)). In summary, our results suggest that known CRC SNPs only explain a small proportion of the heritability and more common SNPs have yet to be identified. ..
  7. pmc A pooled analysis of smoking and colorectal cancer: timing of exposure and interactions with environmental factors
    Jian Gong
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA 98109, USA
    Cancer Epidemiol Biomarkers Prev 21:1974-85. 2012
    ..What is unclear, however, is the impact of quitting smoking on risk attenuation and whether other risk factors for CRC modify this association...
  8. pmc Characterization of gene-environment interactions for colorectal cancer susceptibility loci
    Carolyn M Hutter
    Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
    Cancer Res 72:2036-44. 2012
    ....
  9. pmc Meta-analysis of new genome-wide association studies of colorectal cancer risk
    Ulrike Peters
    Cancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, USA
    Hum Genet 131:217-34. 2012
    ..03; combined p value 1.9 × 10(-4)). Our study suggests a complex nature of the contribution of common genetic variants to risk for colorectal cancer...
  10. pmc Imputation of coding variants in African Americans: better performance using data from the exome sequencing project
    Qing Duan
    Department of Genetics and Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA, Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Biostatistics and Center for Statistical Genetics, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA, Renaissance Computing Institute, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Statistics and Department of Genetics, Rutgers University, Piscataway, NJ 08854, USA, Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27599, USA, Department of Epidemiology, University of Washington, Seattle, WA 98195, USA, Division of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA, Department of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, Division of Cardiology, George Washington University School of Medicine and Health Sciences, Washington, DC 20037, USA, Department of Preventive Medicine, Keck School of Medicine, University of Southern California Norris Comprehensive Cancer Center, France
    Bioinformatics 29:2744-9. 2013
    ..We recommend using haplotypes from Exome Sequencing Project alone or concatenation of the two panels over quality score-based post-imputation selection or IMPUTE2's two-panel combination...
  11. pmc Common and rare von Willebrand factor (VWF) coding variants, VWF levels, and factor VIII levels in African Americans: the NHLBI Exome Sequencing Project
    JILL M JOHNSEN
    Department of Medicine, University of Washington, Seattle, WA, USA
    Blood 122:590-7. 2013
    ..Arg2287Trp were each associated with 30 to 40 IU/dL lower VWF level (P < .001). In summary, several common and rare VWF missense variants contribute to phenotypic differences in VWF and FVIII among AAs. ..
  12. pmc A systematic mapping approach of 16q12.2/FTO and BMI in more than 20,000 African Americans narrows in on the underlying functional variation: results from the Population Architecture using Genomics and Epidemiology (PAGE) study
    Ulrike Peters
    Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America
    PLoS Genet 9:e1003171. 2013
    ..Importantly our study demonstrated that comprehensive fine-mapping in AA provides a powerful approach to narrow in on the functional candidate(s) underlying the initial GWAS findings in European populations...
  13. pmc Powerful cocktail methods for detecting genome-wide gene-environment interaction
    Li Hsu
    Biostatistics and Biomathematics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA
    Genet Epidemiol 36:183-94. 2012
    ..It also allows for an easy incorporation of new methods as they are developed. Our work provides a comprehensive and powerful tool for devising effective strategies for genome-wide detection of gene-environment interactions...