2023 - Research.com Biology and Biochemistry in Netherlands Leader Award
2022 - Research.com Best Female Scientist Award
2019 - Royal Netherlands Academy of Arts and Sciences
Danielle Posthuma mainly focuses on Genome-wide association study, Genetics, Genetic association, Single-nucleotide polymorphism and Heritability. Her Genome-wide association study research includes themes of Schizophrenia, Case-control study, Quantitative trait locus, Genetic architecture and Meta-analysis. Her work carried out in the field of Schizophrenia brings together such families of science as Bipolar disorder and Neuroscience.
She focuses mostly in the field of Genetics, narrowing it down to matters related to Disease and, in some cases, Mendelian randomization. In her study, which falls under the umbrella issue of Genetic association, Computational biology is strongly linked to Expression quantitative trait loci. Her biological study spans a wide range of topics, including Candidate gene, Adiponectin and Medical genetics.
The scientist’s investigation covers issues in Genetics, Genome-wide association study, Genetic association, Heritability and Gene. Single-nucleotide polymorphism, Genetic variation, Genetic architecture, Quantitative trait locus and Candidate gene are among the areas of Genetics where the researcher is concentrating her efforts. Her Genome-wide association study research integrates issues from Schizophrenia, Bipolar disorder, Linkage disequilibrium, Disease and Computational biology.
Schizophrenia and Copy-number variation are frequently intertwined in her study. Her study ties her expertise on Genetic heterogeneity together with the subject of Genetic association. As part of the same scientific family, she usually focuses on Heritability, concentrating on Developmental psychology and intersecting with Cognition and Intelligence quotient.
Her main research concerns Genome-wide association study, Computational biology, Gene, Genetics and Disease. She interconnects Biobank, Mendelian randomization, Multifactorial Inheritance, Human genetics and Attention deficit hyperactivity disorder in the investigation of issues within Genome-wide association study. Her research in Computational biology intersects with topics in Statistical hypothesis testing, Sample size determination, Transcriptome, Schizophrenia and Genetic association.
Danielle Posthuma has researched Genetics in several fields, including Bipolar disorder and Semantic dementia, Frontotemporal dementia. Her Bipolar disorder study combines topics in areas such as Risk gene, Schizophrenia, Likely pathogenic and Exome sequencing. The concepts of her Disease study are interwoven with issues in Omics, Oncology and Genomics.
Danielle Posthuma focuses on Genome-wide association study, Genetics, Schizophrenia, Gene and Disease. The various areas that Danielle Posthuma examines in her Genome-wide association study study include Genetic association, Computational biology, Human genetics, Haplotype and Attention deficit hyperactivity disorder. Her studies in Genetic association integrate themes in fields like Odds ratio, Major histocompatibility complex, Immunology and Genetic predisposition.
The Genetics study combines topics in areas such as Meta-analysis, Lung cancer and Risk factor. Her Schizophrenia research includes elements of Bipolar disorder, Spectrum disorder, Etiology and Mental illness. Danielle Posthuma combines subjects such as CSF albumin, Neuroimaging, Cell adhesion molecule and Bioinformatics with her study of Disease.
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.
Biological insights from 108 schizophrenia-associated genetic loci
Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Aiden Corvin;James T. R. Walters.
Genome-wide association study identifies five new schizophrenia loci
Stephan Ripke;Alan R. Sanders;Kenneth S. Kendler;Douglas F. Levinson.
Nature Genetics (2011)
New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk
Josée Dupuis;Josée Dupuis;Claudia Langenberg;Inga Prokopenko;Richa Saxena;Richa Saxena.
Nature Genetics (2010)
Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs
S. Hong Lee;Stephan Ripke;Stephan Ripke;Benjamin M. Neale;Benjamin M. Neale;Stephen V. Faraone.
Nature Genetics (2013)
A genome-wide association search for type 2 diabetes genes in African Americans.
N D Palmer;C W McDonough;P J Hicks;B H Roh.
PLOS ONE (2012)
Meta-analysis of the heritability of human traits based on fifty years of twin studies
Tinca J C Polderman;Beben Benyamin;Christiaan A de Leeuw;Patrick F Sullivan.
Nature Genetics (2015)
MAGMA: Generalized Gene-Set Analysis of GWAS Data
Christiaan A. de Leeuw;Joris M. Mooij;Tom Heskes;Danielle Posthuma.
PLOS Computational Biology (2015)
Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression
Naomi R. Wray;Stephan Ripke;Stephan Ripke;Stephan Ripke;Manuel Mattheisen;MacIej Trzaskowski.
Nature Genetics (2018)
Genome-wide association analysis identifies 13 new risk loci for schizophrenia
Stephan Ripke;Stephan Ripke;Colm T. O'Dushlaine;Kimberly D. Chambert;Jennifer L. Moran.
Nature Genetics (2013)
Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer's disease risk.
Iris E. Jansen;Jeanne E. Savage;Kyoko Watanabe;Julien Bryois.
Nature Genetics (2019)
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