Jian Yang

Summary

Affiliation: Queensland Institute of Medical Research
Country: Australia

Publications

  1. pmc The genetic interpretation of area under the ROC curve in genomic profiling
    Naomi R Wray
    Genetic Epidemiology and Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, Australia
    PLoS Genet 6:e1000864. 2010
  2. doi request reprint A commentary on 'common SNPs explain a large proportion of the heritability for human height' by Yang et al. (2010)
    Peter M Visscher
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Australia
    Twin Res Hum Genet 13:517-24. 2010
  3. pmc Sporadic cases are the norm for complex disease
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Eur J Hum Genet 18:1039-43. 2010
  4. doi request reprint Comparing apples and oranges: equating the power of case-control and quantitative trait association studies
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Australia
    Genet Epidemiol 34:254-7. 2010
  5. pmc GCTA: a tool for genome-wide complex trait analysis
    Jian Yang
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
    Am J Hum Genet 88:76-82. 2011
  6. pmc Genomic inflation factors under polygenic inheritance
    Jian Yang
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Eur J Hum Genet 19:807-12. 2011
  7. pmc Estimation and partition of heritability in human populations using whole-genome analysis methods
    Anna A E Vinkhuyzen
    The University of Queensland, Queensland Brain Institute, Brisbane, 4072, Queensland, Australia Email
    Annu Rev Genet 47:75-95. 2013
  8. pmc Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Nat Genet 44:369-75, S1-3. 2012
  9. doi request reprint Genome-wide genetic homogeneity between sexes and populations for human height and body mass index
    Jian Yang
    Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia, The University of Queensland Diamantina Institute, The Translation Research Institute, Brisbane, QLD 4102, Australia
    Hum Mol Genet 24:7445-9. 2015
  10. pmc Inference of the genetic architecture underlying BMI and height with the use of 20,240 sibling pairs
    Gibran Hemani
    The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD 4102, Australia The University of Queensland, Queensland Brain Institute, Brisbane, QLD 4027, Australia
    Am J Hum Genet 93:865-75. 2013

Detail Information

Publications34

  1. pmc The genetic interpretation of area under the ROC curve in genomic profiling
    Naomi R Wray
    Genetic Epidemiology and Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, Australia
    PLoS Genet 6:e1000864. 2010
    ..We provide a strategy to estimate proportion of genetic variance explained on the liability scale from estimates of AUC, disease prevalence, and heritability (or sibling recurrence risk) available as an online calculator...
  2. doi request reprint A commentary on 'common SNPs explain a large proportion of the heritability for human height' by Yang et al. (2010)
    Peter M Visscher
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Australia
    Twin Res Hum Genet 13:517-24. 2010
    ..We also report a number of additional results that show that the estimates of additive genetic variation are not driven by population structure...
  3. pmc Sporadic cases are the norm for complex disease
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Eur J Hum Genet 18:1039-43. 2010
    ....
  4. doi request reprint Comparing apples and oranges: equating the power of case-control and quantitative trait association studies
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Australia
    Genet Epidemiol 34:254-7. 2010
    ..With equal sample size, when v=K, the power of CC association study is much less than that of QT association study because of the information lost by transforming a quantitative continuous trait to a binary trait...
  5. pmc GCTA: a tool for genome-wide complex trait analysis
    Jian Yang
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
    Am J Hum Genet 88:76-82. 2011
    ..The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets...
  6. pmc Genomic inflation factors under polygenic inheritance
    Jian Yang
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Eur J Hum Genet 19:807-12. 2011
    ..Our predictions are consistent with empirical observations on height in independent samples of ~4000 and ~133,000 individuals...
  7. pmc Estimation and partition of heritability in human populations using whole-genome analysis methods
    Anna A E Vinkhuyzen
    The University of Queensland, Queensland Brain Institute, Brisbane, 4072, Queensland, Australia Email
    Annu Rev Genet 47:75-95. 2013
    ..All SNPs together, however, do not account for all of the genetic variance estimated by pedigree-based methods. We explain possible reasons for this remaining "missing heritability." ..
  8. pmc Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Nat Genet 44:369-75, S1-3. 2012
    ..The method we present is computationally fast and is also applicable to case-control data, which we demonstrate in an example from meta-analysis of type 2 diabetes by the DIAGRAM Consortium...
  9. doi request reprint Genome-wide genetic homogeneity between sexes and populations for human height and body mass index
    Jian Yang
    Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia, The University of Queensland Diamantina Institute, The Translation Research Institute, Brisbane, QLD 4102, Australia
    Hum Mol Genet 24:7445-9. 2015
    ..7) and between populations for BMI (rg = ∼0.9 between Europe and the USA) but not for height. The lack of evidence for substantial genetic heterogeneity for body size is consistent with empirical findings across traits and species. ..
  10. pmc Inference of the genetic architecture underlying BMI and height with the use of 20,240 sibling pairs
    Gibran Hemani
    The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Brisbane, QLD 4102, Australia The University of Queensland, Queensland Brain Institute, Brisbane, QLD 4027, Australia
    Am J Hum Genet 93:865-75. 2013
    ....
  11. doi request reprint Genome-wide complex trait analysis (GCTA): methods, data analyses, and interpretations
    Jian Yang
    University of Queensland Diamantina Institute, Princess Alexandra Hospital, University of Queensland, Brisbane, QLD, Australia
    Methods Mol Biol 1019:215-36. 2013
    ....
  12. pmc Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPs
    S Hong Lee
    Queensland Brain Institute, University of Queensland, Brisbane, Australia
    Nat Genet 44:247-50. 2012
    ..6 × 10(-8)). These results are consistent with a polygenic genetic architecture and imply more individual SNP associations will be detected for this disease as sample size increases...
  13. doi request reprint Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
    Zhihong Zhu
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
    Nat Genet 48:481-7. 2016
    ..These genes provide important leads to design future functional studies to understand the mechanism whereby DNA variation leads to complex trait variation. ..
  14. pmc Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index
    Jian Yang
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
    Nat Genet 47:1114-20. 2015
    ..For further discovery of genes associated with complex traits, a study design with SNP arrays followed by imputation is more cost-effective than whole-genome sequencing at current prices...
  15. pmc Detection and replication of epistasis influencing transcription in humans
    Gibran Hemani
    1 Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia 2 University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4072, Australia
    Nature 508:249-53. 2014
    ..This study presents the first evidence, to our knowledge, for many instances of segregating common polymorphisms interacting to influence human traits. ..
  16. pmc Common SNPs explain a large proportion of the heritability for human height
    Jian Yang
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Nat Genet 42:565-9. 2010
    ....
  17. pmc Statistical power to detect genetic (co)variance of complex traits using SNP data in unrelated samples
    Peter M Visscher
    The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, Queensland, Australia
    PLoS Genet 10:e1004269. 2014
    ....
  18. pmc Fast set-based association analysis using summary data from GWAS identifies novel gene loci for human complex traits
    Andrew Bakshi
    Queensland Brain Institute, The University of Queensland, Brisbane, Queensland 4072, Australia
    Sci Rep 6:32894. 2016
    ..g. the THRB and FOXP1 loci for schizophrenia). The method is general and can be applied to GWAS data for all complex traits and diseases in humans and to such data in other species. ..
  19. pmc Autosomal genetic control of human gene expression does not differ across the sexes
    Irfahan Kassam
    Queensland Brain Institute, The University of Queensland, Brisbane, Australia
    Genome Biol 17:248. 2016
    ..Sexual dimorphism is also seen in human autosomal gene expression, and has largely been explored by examining the contribution of genotype-by-sex interactions to variation in gene expression...
  20. doi request reprint Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women
    Divya Mehta
    Queensland Brain Institute, The University of Queensland, Brisbane, Australia
    JAMA Psychiatry 73:497-505. 2016
    ..However, it remains unclear if the risk to the child is due to psychosocial factors associated with parental age or if those at higher risk for SCZ tend to have children at an earlier or later age...
  21. pmc Population genetic differentiation of height and body mass index across Europe
    Matthew R Robinson
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
    Nat Genet 47:1357-62. 2015
    ..Observed differences in height among populations reflected the predicted genetic means (r = 0.51; P < 0.001), but environmental differences across Europe masked genetic differentiation for BMI (P < 0.58). ..
  22. pmc Advantages and pitfalls in the application of mixed-model association methods
    Jian Yang
    1 Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia 2 University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia 3
    Nat Genet 46:100-6. 2014
    ..Here we describe and quantify the advantages and pitfalls of MLMA methods as a function of study design and provide recommendations for the application of these methods in practical settings. ..
  23. pmc Ubiquitous polygenicity of human complex traits: genome-wide analysis of 49 traits in Koreans
    Jian Yang
    University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    PLoS Genet 9:e1003355. 2013
    ....
  24. pmc FTO genotype is associated with phenotypic variability of body mass index
    Jian Yang
    University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
    Nature 490:267-72. 2012
    ....
  25. pmc Predicting gene targets from integrative analyses of summary data from GWAS and eQTL studies for 28 human complex traits
    Jennifer M Whitehead Pavlides
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia
    Genome Med 8:84. 2016
    ..We integrated all the results in an online database ( http://www.cnsgenomics/shiny/SMRdb/ ), providing important resources to prioritize genes for further follow-up, for example in functional studies. ..
  26. pmc The Genetic Architecture of Gene Expression in Peripheral Blood
    Luke R Lloyd-Jones
    Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD 4072, Australia Queensland Brain Institute, University of Queensland, Brisbane, QLD 4072, Australia Electronic address
    Am J Hum Genet . 2016
    ..Finally, we present evidence that, compared with a meta-analysis, using individual-level data results in an increase of approximately 50% in power to detect eQTL...
  27. pmc Dominance genetic variation contributes little to the missing heritability for human complex traits
    Zhihong Zhu
    Queensland Brain Institute, The University of Queensland, Brisbane, QLD 4072, Australia
    Am J Hum Genet 96:377-85. 2015
    ..All these results suggest that dominance variation at common SNPs explains only a small fraction of phenotypic variation for human complex traits and contributes little to the missing narrow-sense heritability problem...
  28. doi request reprint From Galton to GWAS: quantitative genetics of human height
    Peter M Visscher
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, 300 Herston Road, Herston, Brisbane 4006, Australia
    Genet Res (Camb) 92:371-9. 2010
    ....
  29. pmc Across-cohort QC analyses of GWAS summary statistics from complex traits
    Guo Bo Chen
    Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
    Eur J Hum Genet 25:137-146. 2016
    ....
  30. pmc Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations
    Sonia Shah
    Queensland Brain Institute, University of Queensland, Brisbane 4072, Australia University of Queensland Diamantina Institute, Translational Research Institute, University of Queensland, Brisbane, QLD 4072, Australia
    Am J Hum Genet 97:75-85. 2015
    ..The BMI results suggest that combining genetic and epigenetic information might have greater utility for complex-trait prediction. ..
  31. pmc Five years of GWAS discovery
    Peter M Visscher
    University of Queensland Diamantina Institute, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    Am J Hum Genet 90:7-24. 2012
    ..We return to the perceived failure or disappointment about GWASs in the concluding section...
  32. doi request reprint A plethora of pleiotropy across complex traits
    Peter M Visscher
    Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
    Nat Genet 48:707-8. 2016
    ..The study uses the power of GWAS to provide evidence of pairs of traits with a likely causal relationship. ..
  33. pmc Identification of multiple risk variants for ankylosing spondylitis through high-density genotyping of immune-related loci
    Adrian Cortes
    University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, Queensland, Australia
    Nat Genet 45:730-8. 2013
    ..Protective variants at two of these loci are associated both with reduced aminopeptidase function and with MHC class I cell surface expression. ..
  34. pmc Genome partitioning of genetic variation for complex traits using common SNPs
    Jian Yang
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Australia
    Nat Genet 43:519-25. 2011
    ....