Research Topics
| Jian YangSummaryAffiliation: Queensland Institute of Medical Research Country: Australia Publications
| Collaborators
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Detail Information
Publications
The genetic interpretation of area under the ROC curve in genomic profilingNaomi 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...
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...
Sporadic cases are the norm for complex diseaseJian Yang
Queensland Institute of Medical Research, Brisbane, Queensland, Australia
Eur J Hum Genet 18:1039-43. 2010....
Genomic inflation factors under polygenic inheritanceJian 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...
GCTA: a tool for genome-wide complex trait analysisJian 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...
Comparing apples and oranges: equating the power of case-control and quantitative trait association studiesJian 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...
Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traitsJian 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...
Estimating the proportion of variation in susceptibility to schizophrenia captured by common SNPsS 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...
Common SNPs explain a large proportion of the heritability for human heightJian Yang
Queensland Institute of Medical Research, Brisbane, Queensland, Australia
Nat Genet 42:565-9. 2010....
FTO genotype is associated with phenotypic variability of body mass indexJian Yang
University of Queensland Diamantina Institute, The University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland 4102, Australia
Nature 490:267-72. 2012....
From Galton to GWAS: quantitative genetics of human heightPeter 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....
Five years of GWAS discoveryPeter 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...
Genome partitioning of genetic variation for complex traits using common SNPsJian Yang
Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Australia
Nat Genet 43:519-25. 2011....
