Peter M Visscher

Summary

Affiliation: University of Queensland
Country: Australia

Publications

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  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 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
  10. 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

Detail Information

Publications37

  1. 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...
  2. 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...
  3. 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
    ....
  4. 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. ..
  5. 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...
  6. 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. ..
  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 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
    ....
  10. 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...
  11. 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...
  12. 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
    ....
  13. 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
    ....
  14. 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...
  15. 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...
  16. 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
    ....
  17. 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. ..
  18. 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...
  19. 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...
  20. 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. ..
  21. 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
    ....
  22. 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...
  23. 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...
  24. ncbi 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...
  25. 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...
  26. 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...
  27. ncbi request reprint 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. ..
  28. 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...
  29. 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...
  30. 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...
  31. 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...
  32. 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...
  33. doi request reprint 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
    ....
  34. 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
    ....
  35. 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...
  36. 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...
  37. 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...