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Danielle Posthuma

Researcher at VU University Amsterdam

Publications -  425
Citations -  68260

Danielle Posthuma is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 97, co-authored 379 publications receiving 53646 citations. Previous affiliations of Danielle Posthuma include University of Amsterdam & Vanderbilt University Medical Center.

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Biological insights from 108 schizophrenia-associated genetic loci

Stephan Ripke, +354 more
- 24 Jul 2014 - 
TL;DR: Associations at DRD2 and several genes involved in glutamatergic neurotransmission highlight molecules of known and potential therapeutic relevance to schizophrenia, and are consistent with leading pathophysiological hypotheses.
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MAGMA: Generalized Gene-Set Analysis of GWAS Data

TL;DR: The results show that MAGMA has significantly more power than other tools for both the gene and the gene-set analysis, identifying more genes and gene sets associated with Crohn’s Disease while maintaining a correct type 1 error rate.
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Functional mapping and annotation of genetic associations with FUMA

TL;DR: FUMA is a web-based bioinformatics tool that uses a combination of positional, eQTL and chromatin interaction mapping to prioritize likely causal variants and genes and directly aid in generating hypotheses that are testable in functional experiments aimed at proving causal relations.
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Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs

S. Hong Lee, +405 more
- 01 Sep 2013 - 
TL;DR: Empirical evidence of shared genetic etiology for psychiatric disorders can inform nosology and encourages the investigation of common pathophysiologies for related disorders.
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New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis, +339 more
- 01 Feb 2010 - 
TL;DR: It is demonstrated that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.