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Richard P. Ebstein

Researcher at Southwestern University of Finance and Economics

Publications -  351
Citations -  25965

Richard P. Ebstein is an academic researcher from Southwestern University of Finance and Economics. The author has contributed to research in topics: Attention deficit hyperactivity disorder & Novelty seeking. The author has an hindex of 82, co-authored 345 publications receiving 24404 citations. Previous affiliations of Richard P. Ebstein include Memorial Hospital of South Bend & Ben-Gurion University of the Negev.

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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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Dopamine D4 receptor (D4DR) exon III polymorphism associated with the human personality trait of Novelty Seeking.

TL;DR: This work provides the first replicated association between a specific genetic locus involved in neuro-transmission and a normal personality trait, the 7 repeat allele in the locus for the D4 dopamine receptor gene (D4DR).
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Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways

Colm O'Dushlaine, +404 more
- 19 Jan 2015 - 
TL;DR: It is indicated that risk variants for psychiatric disorders aggregate in particular biological pathways and that these pathways are frequently shared between disorders.
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The analysis of 51 genes in DSM-IV combined type attention deficit hyperactivity disorder: association signals in DRD4, DAT1 and 16 other genes.

TL;DR: In this article, the authors examined 1038 single-nucleotide polymorphisms (SNPs) spanning 51 candidate genes involved in the regulation of neurotransmitter pathways, particularly dopamine, norepinephrine and serotonin pathways, in addition to circadian rhythm genes.
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Meta-Analysis of Genome-Wide Association Studies of Attention- Deficit/Hyperactivity Disorder

Benjamin M. Neale, +65 more
TL;DR: This paper conducted a meta-analysis of existing studies to boost statistical power and found no genome-wide significant associations, although an analysis of candidate genes suggests that they may be involved in the disorder.