Peter M Visscher

Summary

Affiliation: University of Queensland
Country: Australia

Publications

  1. pmc A general unified framework to assess the sampling variance of heritability estimates using pedigree or marker-based relationships
    Peter M Visscher
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, Queensland 4102, Australia
    Genetics 199:223-32. 2015
  2. pmc Genetic architecture of body size in mammals
    Kathryn E Kemper
    Faculty of Land and Environment, University of Melbourne, Parkville, Victoria 3010, Australia
    Genome Biol 13:244. 2012
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. doi request reprint Association study of common mitochondrial variants and cognitive ability
    Enda M Byrne
    Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
    Behav Genet 39:504-12. 2009
  9. 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
  10. pmc The Brisbane Systems Genetics Study: genetical genomics meets complex trait genetics
    Joseph E Powell
    University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    PLoS ONE 7:e35430. 2012

Collaborators

Detail Information

Publications65

  1. pmc A general unified framework to assess the sampling variance of heritability estimates using pedigree or marker-based relationships
    Peter M Visscher
    Queensland Brain Institute, University of Queensland, Brisbane, Queensland 4072, Australia The University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, Queensland 4102, Australia
    Genetics 199:223-32. 2015
    ..g., humans) because this causes low variation in relationship. However, even using human population samples, low sampling variance is possible with high N. ..
  2. pmc Genetic architecture of body size in mammals
    Kathryn E Kemper
    Faculty of Land and Environment, University of Melbourne, Parkville, Victoria 3010, Australia
    Genome Biol 13:244. 2012
    ..Much of the heritability for human stature is caused by mutations of small-to-medium effect. This is because detrimental pleiotropy restricts large-effect mutations to very low frequencies...
  3. 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...
  4. 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
    ....
  5. 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
    ....
  6. 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." ..
  7. 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...
  8. doi request reprint Association study of common mitochondrial variants and cognitive ability
    Enda M Byrne
    Queensland Statistical Genetics, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD, 4029, Australia
    Behav Genet 39:504-12. 2009
    ..These genes warrant further investigation in both functional and association studies with larger cohorts...
  9. 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...
  10. pmc The Brisbane Systems Genetics Study: genetical genomics meets complex trait genetics
    Joseph E Powell
    University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    PLoS ONE 7:e35430. 2012
    ..These associations corresponded to a total of 2,081 expression quantitative trait loci (eQTL) involving 1,503 probes. The majority of identified eQTL (87%) were located within cis-regions...
  11. 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. ..
  12. pmc Congruence of additive and non-additive effects on gene expression estimated from pedigree and SNP data
    Joseph E Powell
    University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    PLoS Genet 9:e1003502. 2013
    ..Consistent with the genetic architecture of common diseases, gene expression is predominantly additive, but a minority of transcripts display non-additive effects...
  13. pmc Genetic control of gene expression in whole blood and lymphoblastoid cell lines is largely independent
    Joseph E Powell
    Queensland Institute of Medical Research, Herston, Brisbane, QLD 4006, Australia
    Genome Res 22:456-66. 2012
    ....
  14. pmc A versatile gene-based test for genome-wide association studies
    Jimmy Z Liu
    Genetics and Population Health Division, Queensland Institute of Medical Research, Brisbane, Queensland 4006, Australia
    Am J Hum Genet 87:139-45. 2010
    ..We have implemented the approach in both an easy-to-use web interface, which only requires the uploading of markers with their association p-values, and a separate downloadable application...
  15. pmc Association between ORMDL3, IL1RL1 and a deletion on chromosome 17q21 with asthma risk in Australia
    Manuel A R Ferreira
    Queensland Institute of Medical Research, Brisbane, QLD, Australia
    Eur J Hum Genet 19:458-64. 2011
    ..In conclusion, we confirm the association between asthma risk and variants in ORMDL3 and identify a novel risk variant in IL1RL1. Follow-up of the 17q21 deletion in larger cohorts is warranted...
  16. 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
    ....
  17. 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...
  18. pmc Estimation and partitioning of polygenic variation captured by common SNPs for Alzheimer's disease, multiple sclerosis and endometriosis
    S Hong Lee
    The University of Queensland, Queensland Brain Institute, Brisbane, QLD 4072, Australia
    Hum Mol Genet 22:832-41. 2013
    ..We provide strong evidence that a substantial proportion of variation in liability is explained by common SNPs, and thereby give insights into the genetic architecture of the diseases...
  19. pmc Genetic and nongenetic variation revealed for the principal components of human gene expression
    Anita Goldinger
    University of Queensland Diamantina Institute, The Translational Research Institute, Brisbane, Queensland 4102, Australia
    Genetics 195:1117-28. 2013
    ..Therefore, this study highlights the danger of eliminating biologically relevant data when employing PC correction in gene expression data. ..
  20. doi request reprint Within-family outliers: segregating alleles or environmental effects? A linkage analysis of height from 5815 sibling pairs
    Beben Benyamin
    Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
    Eur J Hum Genet 16:516-24. 2008
    ..We suggest that the effect of within-family outliers deserves further investigation via theoretical and simulation studies...
  21. pmc Pitfalls of predicting complex traits from SNPs
    Naomi R Wray
    Queensland Brain Institute, The University of Queensland, QBI Building, St Lucia, Queensland 4071, Australia
    Nat Rev Genet 14:507-15. 2013
    ..Here we discuss some of the limitations and pitfalls of prediction analysis and show how naive implementations can lead to severe bias and misinterpretation of results...
  22. doi request reprint LPAR1 and ITGA4 regulate peripheral blood monocyte counts
    Narelle Maugeri
    Queensland Institute of Medical Research, Brisbane, Australia
    Hum Mutat 32:873-6. 2011
    ..Further studies that investigate the downstream mechanism involved and the impact on immune function are warranted...
  23. pmc Whole-genome genetic diversity in a sample of Australians with deep Aboriginal ancestry
    Brian P McEvoy
    Queensland Institute of Medical Research, Brisbane, Queensland 4006, Australia
    Am J Hum Genet 87:297-305. 2010
    ....
  24. pmc Identification of IL6R and chromosome 11q13.5 as risk loci for asthma
    Manuel A R Ferreira
    The Queensland Institute of Medical Research, Brisbane, QLD, Australia
    Lancet 378:1006-14. 2011
    ..We aimed to identify novel genetic variants affecting asthma risk, since these might provide novel insights into molecular mechanisms underlying the disease...
  25. 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. ..
  26. pmc Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
    S Hong Lee
    The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
    Nat Genet 45:984-94. 2013
    ..This empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders. ..
  27. pmc The limits of individual identification from sample allele frequencies: theory and statistical analysis
    Peter M Visscher
    Queensland Institute of Medical Research, Brisbane, Australia
    PLoS Genet 5:e1000628. 2009
    ..We show that these methods have similar statistical properties and have more desirable properties, in terms of type-I error rate and statistical power, than test statistics suggested in the literature...
  28. doi request reprint Reconciling the analysis of IBD and IBS in complex trait studies
    Joseph E Powell
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, Queensland 4006, Australia
    Nat Rev Genet 11:800-5. 2010
    ..Recognizing this aim leads to better methods to estimating IBD with benefits in mapping genes, estimating genetic variance and predicting inbreeding depression...
  29. pmc Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits
    Sang Hong Lee
    Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, Australia
    Genet Sel Evol 42:22. 2010
    ..Dominance and epistatic effects are typically confounded with additive genetic and non-genetic effects. This confounding may cause the estimated genetic variance components to be inaccurate and biased...
  30. pmc Geographical structure and differential natural selection among North European populations
    Brian P McEvoy
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Genome Res 19:804-14. 2009
    ....
  31. 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...
  32. doi request reprint Association of variants in MMEL1 and CTLA4 with rheumatoid arthritis in the Han Chinese population
    Patrick Danoy
    Human Genetics Group, The University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Queensland, Australia
    Ann Rheum Dis 70:1793-7. 2011
    ..However, few studies have tried to dissect disease aetiopathogenesis in other ethnic populations...
  33. doi request reprint Calculation of IBD probabilities with dense SNP or sequence data
    Jonathan M Keith
    School of Mathematical Sciences, Queensland University of Technology, Brisbane, Qld 4001, Australia
    Genet Epidemiol 32:513-9. 2008
    ..We also confirm a previous finding that ignoring linkage disequilibrium in founder haplotypes can cause errors in the calculation of IBD probabilities...
  34. doi request reprint Heritability in the genomics era--concepts and misconceptions
    Peter M Visscher
    Queensland Institute of Medical Research, Royal Brisbane Hospital Post Office, Brisbane 4029, Queensland, Australia
    Nat Rev Genet 9:255-66. 2008
    ..Recent reports of substantial heritability for gene expression and new estimation methods using marker data highlight the relevance of heritability in the genomics era...
  35. 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...
  36. pmc Highly cost-efficient genome-wide association studies using DNA pools and dense SNP arrays
    Stuart Macgregor
    Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
    Nucleic Acids Res 36:e35. 2008
    ..The large cost savings with Illumina HumanHap300-based pooling imply that future studies need only be limited by the availability of samples and not cost...
  37. pmc Common variants in TMPRSS6 are associated with iron status and erythrocyte volume
    Beben Benyamin
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Nat Genet 41:1173-5. 2009
    ..1 x 10(-10)). We also find suggestive evidence of association with blood hemoglobin levels (combined P = 5.3 x 10(-7)). These findings demonstrate the involvement of TMPRSS6 in control of iron homeostasis and in normal erythropoiesis...
  38. doi request reprint The use of common mitochondrial variants to detect and characterise population structure in the Australian population: implications for genome-wide association studies
    Enda M Byrne
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Eur J Hum Genet 16:1396-403. 2008
    ..No evidence was found for structure within ancestral groups. These results have implications for future association studies in the Australian population, and other populations of heterogeneous ancestry...
  39. doi request reprint Family-based genome-wide association studies
    Beben Benyamin
    Queensland Statistical Genetics Laboratory, Queensland Institute of Medical Research, 300 Herston Road, Brisbane, QLD 4029, Australia
    Pharmacogenomics 10:181-90. 2009
    ....
  40. pmc Large-scale genomics unveils the genetic architecture of psychiatric disorders
    Jacob Gratten
    1 Queensland Brain Institute, University of Queensland, Brisbane, Queensland, Australia 2 These authors contributed equally to this work
    Nat Neurosci 17:782-90. 2014
    ..The capture of a substantial proportion of genetic risk facilitates new study designs to investigate the combined effects of genes and the environment. ..
  41. 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
    ....
  42. doi request reprint Genetics of human height
    Brian P McEvoy
    Queensland Institute of Medical Research, Royal Brisbane Hospital Post Office, Brisbane, Queensland 4029, Australia
    Econ Hum Biol 7:294-306. 2009
    ..Despite a successful start to height gene mapping, there remain considerable theoretical, technological, and statistical hurdles to be overcome in order to unravel its full genetic basis...
  43. 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...
  44. pmc Association mapping in outbred populations: power and efficiency when genotyping parents and phenotyping progeny
    Stephen F Chenoweth
    Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, QLD 4029, Australia
    Genetics 181:755-65. 2009
    ..A web-based application implementing our expressions has been developed to aid in the design of indirect association studies...
  45. doi request reprint Investigation of the relationship between smoking and appendicitis in Australian twins
    Chris Oldmeadow
    Department of Mathematical Sciences, Queensland University of Technology, Mathematical Sciences, O Block, Gardens Point Campus, Brisbane, Australia
    Ann Epidemiol 18:631-6. 2008
    ..Previous studies have shown an increased risk for cigarette smokers but no accounts for the timing of exposure to smoking relative to appendectomy were made...
  46. 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
    ....
  47. pmc Genome-wide association study identifies a locus at 7p15.2 associated with endometriosis
    Jodie N Painter
    Molecular Epidemiology, Queensland Institute of Medical Research, Herston, Queensland, Australia
    Nat Genet 43:51-4. 2011
    ..4 × 10⁻⁹ (OR = 1.20, 95% CI 1.13-1.27) for 'all' endometriosis in our combined datasets of 5,586 cases and 9,331 controls. rs12700667 is located in an intergenic region upstream of the plausible candidate genes NFE2L3 and HOXA10...
  48. 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
    ....
  49. pmc Legacy of mutiny on the Bounty: founder effect and admixture on Norfolk Island
    Stuart Macgregor
    Queensland Institute of Medical Research, Brisbane, QLD, Australia
    Eur J Hum Genet 18:67-72. 2010
    ..In conclusion, both founder effect and extreme admixture have substantially influenced the genetic architecture of a variety of CVD-related traits in this population...
  50. pmc A simple and fast two-locus quality control test to detect false positives due to batch effects in genome-wide association studies
    Sang Hong Lee
    Queensland Institute of Medical Research, Herston, Queensland, Australia
    Genet Epidemiol 34:854-62. 2010
    ..This novel QC approach is easy to implement and computationally efficient, and can lead to a better quality of genotypes for subsequent genotype-phenotype investigations...
  51. doi request reprint Interpreting the role of de novo protein-coding mutations in neuropsychiatric disease
    Jacob Gratten
    The University of Queensland, Queensland Brain Institute, Brisbane, Queensland, Australia
    Nat Genet 45:234-8. 2013
    ..Here, we consider several challenges for the interpretation of such mutations in the context of their role in neuropsychiatric disease...
  52. doi request reprint A better coefficient of determination for genetic profile analysis
    Sang Hong Lee
    Queensland Institute of Medical Research, Brisbane, QLD 4072, Australia
    Genet Epidemiol 36:214-24. 2012
    ..Furthermore, even when using ascertained case-control studies that are typical in human disease studies, we can obtain an R(2) measure on the liability scale that can be compared directly to heritability...
  53. doi request reprint Large Autosomal Copy-Number Differences within Unselected Monozygotic Twin Pairs are Rare
    Allan F McRae
    Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia
    Twin Res Hum Genet 18:13-8. 2015
    ..It is concluded that large CNV discordance is rare within MZ twin pairs, indicating that any CNV difference found within phenotypically discordant MZ twin pairs has a high probability of containing the causal gene(s) involved. ..
  54. doi request reprint 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. ..
  55. pmc Power of the classical twin design revisited: II detection of common environmental variance
    Peter M Visscher
    Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
    Twin Res Hum Genet 11:48-54. 2008
    ..We have developed a user-friendly web-based tool, TwinPower, to perform power calculations to detect either A or C for the classical twin design. This new tool can be found at http://genepi.qimr.edu.au/cgi-bin/twinpower.cgi...
  56. doi request reprint Prediction of individual genetic risk of complex disease
    Naomi R Wray
    Genetic Epidemiology and Queensland Statistical Genetics, Queensland Institute of Medical Research, Brisbane, Australia
    Curr Opin Genet Dev 18:257-63. 2008
    ..We conclude that with larger GWAS sample sizes or by combining studies, accurate prediction of genetic risk will be possible, even if the causal mutations or the mechanisms by which they affect susceptibility are unknown...
  57. doi request reprint Prioritization of positional candidate genes using multiple web-based software tools
    Tobias A Thornblad
    Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia
    Twin Res Hum Genet 10:861-70. 2007
    ..Our results suggest that the best approach to classify a minimum set of candidate genes is to take those genes that are prioritized by multiple prioritization tools...
  58. 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...
  59. doi request reprint Whole genome approaches to quantitative genetics
    Peter M Visscher
    Queensland Institute of Medical Research, Brisbane, Australia
    Genetica 136:351-8. 2009
    ..We review some of the theory underlying the variation in genetic identity, show applications to estimating genetic variance for height in humans and discuss other applications...
  60. 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
    ....
  61. doi request reprint Association of STAT3 and TNFRSF1A with ankylosing spondylitis in Han Chinese
    Stuart I Davidson
    The University of Queensland Diamantina Institute, University of Queensland, Princess Alexandra Hospital, Brisbane, Australia
    Ann Rheum Dis 70:289-92. 2011
    ..A candidate gene study in a Han Chinese population was performed based on these findings to identify associated genes in this population...
  62. pmc Maintenance of genetic variation in human personality: testing evolutionary models by estimating heritability due to common causal variants and investigating the effect of distant inbreeding
    Karin J H Verweij
    Genetic Epidemiology, Molecular Epidemiology, and Queensland Statistical Genetics Laboratories, Queensland Institute of Medical Research, Herston 4006, Brisbane, Queensland, Australia
    Evolution 66:3238-51. 2012
    ..These findings are consistent with genetic variation in personality traits having been maintained by mutation-selection balance...
  63. pmc Genetic and environmental exposures constrain epigenetic drift over the human life course
    Sonia Shah
    Queensland Brain Institute, The University of Queensland, Brisbane, 4072, Queensland, Australia
    Genome Res 24:1725-33. 2014
    ..Moreover, at a number of CpGs, most variation in the population is due to genetic factors, despite some sites being highly modifiable by the environment...
  64. doi request reprint Genome-wide association studies of quantitative traits with related individuals: little (power) lost but much to be gained
    Peter M Visscher
    Genetic Epidemiology, Queensland Institute of Medical Research, Herston, Brisbane, Australia
    Eur J Hum Genet 16:387-90. 2008
    ..Therefore, the advantages of using relatives in GWAS for quantitative traits may well outweigh the small disadvantage in terms of statistical power...
  65. ncbi request reprint Cattle gain stature
    Peter M Visscher
    Queensland Institute of Medical Research, Brisbane, Queensland, Australia
    Nat Genet 43:397-8. 2011
    ..A new study combines the advantages of gene mapping in livestock with elegant genetic and functional analyses to address these challenges and identifies candidate regulatory variants affecting stature in cattle...