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Jordan W. Smoller

Researcher at Harvard University

Publications -  566
Citations -  67018

Jordan W. Smoller is an academic researcher from Harvard University. The author has contributed to research in topics: Genome-wide association study & Medicine. The author has an hindex of 99, co-authored 484 publications receiving 52716 citations. Previous affiliations of Jordan W. Smoller include Rockefeller University & Boston Children's Hospital.

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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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The organization of the human cerebral cortex estimated by intrinsic functional connectivity

TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
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Molecular Genetics of Attention-Deficit/Hyperactivity Disorder

TL;DR: Family, twin, and adoption studies provide compelling evidence that genes play a strong role in mediating susceptibility to ADHD, and seven genes for which the same variant has been studied in three or more case-control or family-based studies show statistically significant evidence of association with ADHD.
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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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Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Naomi R. Wray, +262 more
- 26 Apr 2018 - 
TL;DR: A genome-wide association meta-analysis of individuals with clinically assessed or self-reported depression identifies 44 independent and significant loci and finds important relationships of genetic risk for major depression with educational attainment, body mass, and schizophrenia.