2023 - Research.com Genetics in Australia Leader Award
2022 - Research.com Best Scientist Award
2022 - Research.com Genetics and Molecular Biology in Australia Leader Award
2018 - Australian Laureate Fellow
2018 - Fellow of the Royal Society, United Kingdom
2018 - Australian Laureate Fellowship
2010 - Fellow of the Australian Academy of Science
1999 - Royal Netherlands Academy of Arts and Sciences
Peter M. Visscher spends much of his time researching Genetics, Genome-wide association study, Single-nucleotide polymorphism, Heritability and Genetic association. His Genetics and Genetic variation, Quantitative trait locus, Linkage disequilibrium, Human height and Gene investigations all form part of his Genetics research activities. His Genome-wide association study study combines topics from a wide range of disciplines, such as Schizophrenia, Polymorphism, Disease, Locus and Genetic architecture.
In his study, Gerontology is strongly linked to Cognition, which falls under the umbrella field of Single-nucleotide polymorphism. His studies in Heritability integrate themes in fields like Demography, Genetic correlation, Missing heritability problem and DNA methylation. His work carried out in the field of Genetic association brings together such families of science as SNP, Computational biology and Receiver operating characteristic.
Peter M. Visscher mainly focuses on Genetics, Genome-wide association study, Genetic association, Single-nucleotide polymorphism and Quantitative trait locus. His Heritability, Genetic variation, Genetic architecture, Gene and Linkage disequilibrium investigations are all subjects of Genetics research. His Genome-wide association study research is multidisciplinary, incorporating elements of Bioinformatics, Disease, Allele, Locus and Computational biology.
His research in Genetic association intersects with topics in Body mass index and Population stratification. His Single-nucleotide polymorphism research integrates issues from Genome, Cognition and Allele frequency. The various areas that Peter M. Visscher examines in his Quantitative trait locus study include Genetic marker, Expression quantitative trait loci, Genetic linkage, Linkage and Family-based QTL mapping.
Genome-wide association study, Genetics, Genetic association, DNA methylation and Single-nucleotide polymorphism are his primary areas of study. His Genome-wide association study study incorporates themes from Biobank, Bioinformatics, Disease, Computational biology and Genetic architecture. His is doing research in Gene, Heritability, Quantitative trait locus, Genetic variation and Genome, both of which are found in Genetics.
His Heritability research includes elements of Minor allele frequency and Statistics. His research in Genetic association focuses on subjects like Demography, which are connected to Observational study. His Single-nucleotide polymorphism research is multidisciplinary, incorporating perspectives in Body mass index and Confounding.
The scientist’s investigation covers issues in Genome-wide association study, Genetics, Genetic association, DNA methylation and Single-nucleotide polymorphism. His Genome-wide association study research is multidisciplinary, relying on both Quantitative trait locus, Genetic architecture, Disease and Heritability. Peter M. Visscher combines subjects such as Context, Parkinson's disease and Age of onset with his study of Genetics.
His studies deal with areas such as Bioinformatics, Mendelian Randomization Analysis, Statistics, Mixed model and Genetic variation as well as Genetic association. The study incorporates disciplines such as Methylation, Epigenetics and Ageing in addition to DNA methylation. His studies in Single-nucleotide polymorphism integrate themes in fields like Meta-analysis, Body mass index and Obesity.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Finding the missing heritability of complex diseases
Teri A. Manolio;Francis S. Collins;Nancy J. Cox;David B. Goldstein.
Nature (2009)
Biological insights from 108 schizophrenia-associated genetic loci
Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Nature (2014)
GCTA: a tool for genome-wide complex trait analysis.
Jian Yang;S. Hong Lee;Michael E. Goddard;Peter M. Visscher.
American Journal of Human Genetics (2011)
Common SNPs explain a large proportion of the heritability for human height
Jian Yang;Beben Benyamin;Brian P. McEvoy;Scott Gordon.
Nature Genetics (2010)
Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
Shaun M. Purcell;Shaun M. Purcell;Naomi R. Wray;Jennifer L. Stone;Jennifer L. Stone;Peter M. Visscher.
Nature (2009)
Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index
Elizabeth K. Speliotes;Elizabeth K. Speliotes;Cristen J. Willer;Sonja I. Berndt;Keri L. Monda.
Nature Genetics (2010)
Five years of GWAS discovery
Peter M. Visscher;Peter M. Visscher;Matthew A. Brown;Mark I. McCarthy;Mark I. McCarthy;Jian Yang.
American Journal of Human Genetics (2012)
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
10 Years of GWAS Discovery: Biology, Function, and Translation
Peter M. Visscher;Naomi R. Wray;Qian Zhang;Pamela Sklar.
American Journal of Human Genetics (2017)
Hundreds of variants clustered in genomic loci and biological pathways affect human height
Hana Lango Allen;Karol Estrada;Guillaume Lettre;Sonja I. Berndt.
Nature (2010)
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